Machining engineer jobs in Washington

Engineering Line Lead Jubilant HollisterStier LLC, a well-established member of the business community in Spokane, Washington, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma. Jubilant HollisterStier is also a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. Jubilant HollisterStier is a proud member of the Jubilant Pharma family. Our Promise: Caring, Sharing, Growing We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions' through growth, cost effectiveness and wise investment of resources. Job Description: The CMO Engineering Line Lead position provides leadership, manufacturing support and coordination of the engineering department for the CMO line specific projects. This position ensures that contract projects, equipment functionality, compliance support, and capital expenditures are executed per Jubilant HollisterStier management initiatives, compliance guidelines, the JHS project management system, and the capital budget schedule. It is the responsibility of this position to ensure line specific compliance of the CMO equipment and team with state, local, and federal regulations. This position ensures operations and projects are carried out under adherence to GEPs and cGMPs. Responsibilities: Provide technical oversight and leadership to the engineering team roles responsible for their area of responsibilty within the CMO Business Unit. Drive technical improvements and internal/external responses to equipment and facility observations. Management of the assigned capital project schedules and budgets. Assign and oversee engineering projects including internal capital, compliance, and contract manufacturing. Coordinate and supervise engineering resources to ensure adequate and appropriate staffing for current and upcoming projects. Ensure designated area, equipment,and engineering infrastructures are compliant to local, state, federal, and international regulatory agencies. Execute high level projects from conception, consistent with upper management objectives for business growth. Manage and execute facility and equipment updates to meet company growth and economic objectives. Support client audits and technical visits. Effectively communicate project status, constraints and current or potential issues to upper management. Qualifications: BS in: Mechanical, Chemical, Electrical, Manufacturing, or similar engineering discipline 3+ years of related experience Pharmaceutical experience FDA regulated Industry experience Facility engineering experience Office (Word, PowerPoint, Excel, AutoCAD & SAP) Ability to work independently without routine instructions. Preferred Qualifications: Supervisory experience Shift: Day Compensation: The salary range for this position is $103,050 - $151,100 depending on experience. Midpoint and above is reserved for employees who have longevity with Jubilant HollisterStier and consistently exhibits outstanding performance over a period of time in the role Benefits: Medical, Dental, Vision, Flexible Spending and Health Savings Accounts Life, AD&D, Short and Long Term Disability 401(k) with company match Generous paid time off plan Employee Assistance Program Optional Benefits: Voluntary Life and AD&D for employee & family Supplemental Medical coverage (Critical Illness, Hospital Indemnity and Accident coverages) Pet Insurance ID Theft Protection Perk Spot Discount Program Jubilant HollisterStier is a great place to grow! If you're up for a rewarding challenge, we invite you to take the first step and apply today! *************************************************** *Please click on the Spokane, WA link* Jubilant HollisterStier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to their protected veteran status and will not be discriminated against on the basis of disability. If you require assistance applying for a position, please contact our HR Department at: ******************************

Holmberg Mechanical is currently seeking a confident, passionate, highly motivated, and organized Project Engineer/Coordinator. The ideal candidate will have demonstrated organizational skills, the ability to multi-task, show a friendly & positive attitude, with a professional demeanor while maintaining a high level of productivity and integrity. The candidate's primary responsibility is to provide onsite project management. Working under the direction of a Project Manager, the successful candidate will work to implement key construction initiatives, ensure organization and consistency throughout the department and take ownership of all related issues and resolutions. Why Holmberg? Our culture! If you are looking for a fun place to thrive, Holmberg Mechanical is for you. We've made Puget Sound Business Journal's Best Places to Work List seven times, our CEO was named “Most Admired CEO” by the PSBJ in 2020, and we made Inc. Magazine's “5000 Fastest Growing Companies” List in 2019 and 2020. We have been in business since 1949 and are one of Washington state's oldest union plumbing companies. We are dedicated to helping our community with numerous events to support local non-profit organizations. We choose to pursue projects in our area that matter to us. If you would like to work with experts in the industry, on projects that matter to local people, in an inspiring environment, with room for growth and promotion, let's talk. Job Function/Responsibilities -Work as a team member with the project team and assist the Project Manager with management support. -Assist in the development and maintenance of construction project schedules, CPM schedule development, and standardization -Document control & organization, generate submittals & RFIs, prepare subcontracts, and manage subcontractors -Procurement of material, support of cost engineering, support of equipment buyouts, estimating support, support marketing & sales, and assist with project billings -Developing mutually successful relationships with clients Qualifications -Two years minimum as a Project Engineer/Assistant Project Manager. -Available to work flexible hours, an average of 40 hours per week standard, or as needed. -LOCAL CANDIDATES ONLY Skills and Requirements - Strong technical problem-solving ability. - Knowledge of Microsoft and Office Software. - Solid project management skills and methods. - Solid understanding of mechanical and plumbing systems. - BlueBeam Revu & Smartsheet a plus. Compensation is between $70,000 to $85,000 annually plus a competitive benefits package. Holmberg Mechanical is an Equal Opportunity Employer, offering qualified applicants' consideration for employment without regard to race, color, religion, sex, physical or mental disability, age, citizenship, pregnancy, genetic information, veteran status, gender identity, gender expression, sexual orientation, national origin, and any other protected status. Learn more about us at *******************

Team Introduction The E-Commerce Risk Control (ECRC) team is responsible for securing TikTok's global e-commerce platforms, such as TikTok Shop and Toko. We safeguard buyers, sellers, creators, and the ecosystem from fraudulent, abusive, or malicious behavior. Our mission is to make TikTok the safest and most trusted online marketplace worldwide. We achieve this through: * Advanced machine learning systems to detect and prevent evolving business risks (e.g., account takeovers, collusion, incentive abuse, brushing, click-farms); * A hybrid approach combining machine learning models, retrieval-augmented reasoning, and multi-agent decision-making systems; * Cross-functional collaboration with product, ops, security, and trust teams. What You'll Do * Develop and deploy machine learning models (supervised, unsupervised, hybrid) to proactively detect fraud, abuse, and anomalies across seller behavior, user interactions, and transactions. * Explore cutting-edge techniques including: * Retrieval-Augmented Generation (RAG) * LangChain-based agents for task decomposition and external knowledge integration * Design prompt engineering and reasoning workflows that connect structured features, risk indicators, and real-time LLM-based decisions. * Knowledge Distillation and BERT-style architectures * Build agentic workflows for complex cases, including modular task agents (e.g., structured data retrieval, open-source search, logical reasoning, decision reflection) orchestrated via a central controller agent. * Work with large-scale behavioral datasets to uncover fraud signals, design monitoring pipelines, and propose new feature generation strategies. * Collaborate with risk ops, product managers, and infra engineers to transform insights into scalable and explainable risk control strategies. Why Join Us * Work on real-world, high-impact challenges in global risk mitigation * Be part of a cutting-edge ML + LLM team shaping the future of risk intelligence * Enjoy a culture of autonomy, innovation, and cross-disciplinary collaboration Minimum Qualifications * Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related technical field 2+ years of experience in delivering ML models in production environments * Strong coding skills in Python (preferred), and/or Java/C++ * Familiarity with risk control systems or anomaly detection in large-scale, real-time environments * Experience with LLM post-training applications , especially for agent-based systems * Strong communication skills, with the ability to explain technical solutions to non-technical partners Preferred Qualifications * PhD in Machine Learning, NLP, or a related field * Experience with: * RAG, LangChain, or other agentic LLM systems * Building explainable ML workflows with SHAP, LIME, or counterfactual analysis * Knowledge distillation, BERT, Transformer models * Graph-based modeling, graph neural networks, or similarity search * Background in e-commerce, financial fraud, or trust and safety is highly valued * Familiarity with LLM integration in decision systems is a strong plus

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration. WHAT YOU'LL DO * Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. * Design, build, and scale robust ML systems that power core ad platform capabilities * Champion engineering excellence through best practices in code quality, system design, and operational reliability. * Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING * Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. * Strong knowledge of AI/ML technologies, mathematics and statistics. * Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences * Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL * Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc * Proven proficiency in deep learning methodologies, including recurrent and sequence-based models. * Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks. * Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data. * Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc. * Strong grasp of LLM evaluation methodologies, experience with RAG architectures. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain. * Experience with forecasting models. Required Education Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field Location: Seattle / Santa Monica #DISNEYTECH The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations. Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes. Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing. Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes. Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems. Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. This role will require an active security clearance or the ability to obtain a security clearance. Ideally you'd have: Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings. Strong programming skills in Python; experience with TensorFlow or PyTorch. Background in algorithms, data structures, and object-oriented programming. Experience with LLM pipelines, simulation environments, or automated evaluation systems. Ability to convert research insights into measurable evaluation criteria. Nice to haves: Graduate degree in CS, ML, or AI. Cloud experience (AWS, GCP) and model deployment experience. Experience with LLM evaluation, CV robustness, or RL validation. Knowledge of interpretability, adversarial robustness, or AI safety frameworks. Familiarity with ML evaluation frameworks and agentic model design. Experience in regulated, classified, or mission-critical ML domains. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$208,000-$300,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$187,000-$270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Our Opportunity: Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. At Chewy, Sponsored Ads team is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored Advertising team, you'll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You'll be at forefront of driving technology driven business impact. Machine learning and deep-learning models will influence selection, relevance, ranking, click-through prediction modelling, auction-dynamics, keywords recommendation, campaign optimization, ads channel performance, ads performance maximization and wide array of engaging data-science latest methodologies including but not limited to LLMs and generative AI. Sponsored Ads builds a win-win ecosystem for shoppers, brand owners and Chewy! Shoppers (pet Parents) are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet owners) and maximize their reach. Come be part of the Sponsored Ads team's impactful journey at Chewy! What you'll do: You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping build a win-win ecosystem. Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions. You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications. Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling. Establish high bar on model performance, establish applied-science implementation best practices and mentoring junior scientists. Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents. Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations. What You'll Need: An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years crafting optimization and machine learning solutions for large scale applications. Ability to understand and apply sophisticated mathematics and DS methodologies. Experience in building distributed pipeline, tuning, optimizing and evaluation. Experience with Sponsored Ads or Advertisement domain. Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings. Ability to translate sophisticated data sets and research into simple business recommendations. Bonus: Experience in e-commerce or retail. Prior experience in Advertising systems a huge plus. Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. If you have a question regarding your application, please contact ************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Base Salary Range$185,000-$296,000 USD Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billiondollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Ads Growth team is dedicated to enhancing the advertiser experience through cutting-edge advertising recommendations, encompassing GMV forecasting, budget allocation, ROAS optimization, and beyond. Our goal is to empower advertisers with the most intelligent and insightful recommendations, ensuring maximum impact and effectiveness in their campaigns. As our Staff Machine Learning Engineer for Ads Growth , you will be responsible for designing and developing machine learning models, and performing data analyses to support Coupang's fast business growth. You will need to drive the projects from end to end, communicate with stake holders, collaborate with other roles in the team, and provide ad hoc supports for our business partners. What You Will Do Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify high-leverage opportunities for improvement Collaborate cross-functionally with product, engineering and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 6 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master's or PhD in relevant technical fields Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $142,000/year in our lowest geographic market to $309,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at ************************. REQ# R0055474 Seattle

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About EpiSci EpiSci, an Applied Intuition company, is redefining tactical mission autonomy. These technologies span across defense and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our tactical AI offers robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Our AI increases human capability in aircraft like the F-22 and F-16; it's revolutionizing wireless tactical communication systems and filling the skies with swarms of autonomous UAVs supercharged by sensor fusion. About the role As a Machine Learning Engineer at Applied Intuition Defense, you will be pivotal in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space). You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms. You will be responsible for rapidly designing, developing, and integrating AI/ML models to interface across different platforms, processing data in real-time with real military operators in the loop. Your work will span the MLOps pipeline, improving ingestion and tooling, labeling and autolabeling, model architectures, training, evaluation and validation, inference-time optimization, and inference service deployment. You will have access to large training clusters with the latest GPUs, and the best AI talent and knowledge in the industry through Applied Intuition commercial ML. At EpiSci, you will: Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across a variety of platforms and sensor types (e.g. EO, IR) Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition commercial product staff Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and gaussian splats Create inference software providing low-latency, real-time feedback to autonomy software on-board live platforms Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience We're looking for someone who has: MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure.Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems Experience in optimizing and deploying machine learning models to edge devices Strong Python knowledge and high capability in C++ A core understanding of sensor physics and sensor parameters Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision Travel Requirements: Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%) Interested candidates should also inquire about relocation assistance to Applied Intuition Defense facilities near Destin, FL, Sunnyvale, CA, or Ann Arbor, MI Security Requirements: Must be a U.S. Citizen Must hold or be eligible for a U.S. Secret security clearance For more information about U.S. security clearances: click here. Nice to have: PhD in Computer Vision, Machine Learning, or related field with strong academic contributions 5+ years of experience building and deploying perception models on real-world hardware A background in generating datasets using simulation engines like Unreal Engine, NVIDIA Omniverse, or Blender Experience with deeply optimizing Transformer-based models for edge devices like NVIDIA Jetson boards Proficiency in modern C++ (2020, 2023), CMake, Conan Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware devices (e.g., NVIDIA Jetson, Raspberry Pi5, M.2 accelerators) Willness to relocate to facilities near Destin, FL, Washington, D.C., or San Diego, CA Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $225,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Within the Perception organization, the Semantics core team is comprised of three specialized subgroups, each tackling a critical aspect of scene understanding. The Vulnerable Road Users (VRUs) subgroup focuses on identifying and interpreting the behavior of pedestrians, cyclists, and other vulnerable road users to enhance safety and rider comfort. The Traffic Control subgroup is dedicated to developing and deploying advanced ML models that interpret traffic lights, signs, and other controls, with a key focus on improving map robustness. The Scene Semantics subgroup addresses the complexities of unstructured environments like construction zones and emergency scenes, driving architectural upgrades and new feature development. Together, these three teams leverage strong end-to-end ML expertise to build robust perception systems essential for safe and efficient autonomous operation. In this hybrid role, you will report to the Technical Lead Manager of Semantics. You will: Develop state-of-the-art ML models to understand complex and dynamic scenes, enabling our vehicles to navigate challenges like varied traffic controls, pedestrian and cyclist interactions, construction zones, emergency scenes, and/or mapless driving. Own the end-to-end ML pipeline, from data mining and labeling to training and deployment of models. You have: 4+ years of experience in Machine Learning, with a strong focus on computer vision and/or deep learning for perception tasks. Deep understanding of state-of-the-art ML techniques for object classification, detection, tracking, pose estimation, and/or action recognition. Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX). We prefer: PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience. Experience with multi-modal perception systems (e.g., combining camera, lidar, radar data). Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation). Experience in optimizing ML models for on-device deployment and real-time performance. Background in autonomous driving, robotics, or a related safety-critical domain. Publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$204,000-$259,000 USD

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration. WHAT YOU'LL DO Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc Proven proficiency in deep learning methodologies, including recurrent and sequence-based models. Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks. Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data. Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc. Strong grasp of LLM evaluation methodologies, experience with RAG architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES Experience in digital video advertising or digital marketing domain. Experience with forecasting models. Required Education Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field Location: Seattle / Santa Monica #DISNEYTECH The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Software Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 2450 Broadway Date Posted: 2025-12-05

Within the Ads Delivery team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. We are looking for a Machine Learning Engineer/Economist with a strong theoretical and data analysis background that understands market design concepts and has the engineering skills to bring them to market. We are looking for an economist who can get their hands dirty and work side by side with other engineers, to advance the efficiency of the Pinterest Marketplace. The nature of projects within this team require a deep understanding of trade-offs, founded on both economic theory and data analysis, from the ideation phase all the way to launch review. What you'll do: Build statistical models and production systems to improve marketplace design and operations for Pinners, Partners, and Pinterest. Tune marketplace parameters (e.g., utility function), optimize ad diversity and load, implement auctions, and model long‑term effects to reduce ad fatigue and improve advertiser outcomes. Define and implement experiments to understand long term Marketplace effects. Develop strategies to balance long and short term business objectives. Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations. Application areas: marketplace performance analysis, advertiser churn/retention modeling, promotional bandwidth allocation, ranking/pricing/mechanism design, bidding/budgeting innovation, and anticipating second‑order effects for new ad offerings. What we're looking for: Degree in Computer Science, Machine Learning, Economics, Operations Research, Statistics or a related field. Industry experience in applying economics or machine learning to real products (e.g., ads auctions, pricing, marketplaces, or large‑scale recommendation/search systems). Knowledge in auction theory, market design, and econometrics with excellent data analysis skills. Strong software engineering and mathematical skills and proficient with statistical methods. Experience with online experimentation and causal inference (A/B testing, long‑running experiments, or similar) in large‑scale systems. Practical understanding of machine learning algorithms and techniques. Impact‑driven, highly collaborative, and an effective communicator; prior ads or two‑sided marketplace experience strongly preferred. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. #LI-HYBRID #LI-SM4

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: As a Senior Machine Learning Engineer on Moloco's Ads Quality team, you'll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco's ad platform. The Opportunity: Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results Mentor engineers on best practices for ML experimentation, productionization, and scaling Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals How Do I Know if the Role is Right For Me? You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains You've shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI You're fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus) You're experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX You've worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume You understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production You have experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators You thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes You value collaboration, accountability, and building systems that scale across teams and markets Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range:$197,600-$247,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe Stock's Content Intelligence team is positioned at the center of Adobe's creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world's creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights. What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. Your role will include: * Leading the development and improvement of machine learning models that fuel innovation. * Collaborating with cross-functional teams to deliver ambitious projects on time. * Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment. * Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront. What You Need to Succeed * 5+ years of industry experience in developing, evaluating, and deploying ML models into production. * Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow. * Proven experience leading major successful initiatives. * Experience working with both research and product teams to ensure seamless integration of new technologies. * A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field. Join us at Adobe and help compose the future of creative content through the power of machine learning. Together, we'll develop groundbreaking solutions that empower creatives around the world to achieve their ambitious visions! Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $211,800 - $306,625 In Washington, the pay range for this position is $201,000 - $291,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

**Meet the Team** We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real-world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact. If you're energized by tough problems, excited to shape the future of cyber defense, and eager to work alongside passionate experts, you'll feel right at home. **Your Impact** + **Design and build agentic workflows** that combine detection signals, context, and playbooks to automate threat triage and response. + **Prototype and test new AI features** -from enrichment agents to incident summarization-working closely with security SMEs to validate real-world utility. + **Develop an AIOps pipeline** to enable rapid experimentation with prompts, models, and RAG systems, using clear, measurable success criteria to evaluate iterations. + **Evaluate model outputs** for accuracy, reliability, and usability, then prototype and deploy improvements based on structured feedback and testing. + **Collaborate with product and platform teams** to co-design AI-enhanced TDIR workflows that are intuitive, scalable, and immediately useful to analysts. + **Contribute to the core architecture** powering AI-native security operations, helping to shape how Splunk and Cisco scale trusted automation across the enterprise. **Minimum Qualifications** **Security:** + **Security Operations Experience** - Understanding of security operations concepts, including detection, triage, investigation, and response. + **Security Telemetry Fluency** - Comfortable working with common data sources such as endpoint logs, network traffic, authentication events, or cloud audit trails-and understanding how they're used in detection and investigation workflows. **Engineering Experience:** + **Senior-Level Python Development** - Consistent record building scalable backend services, APIs, and automation workflows in Python. + **DevOps/SecOps Practices** - Proficient with CI/CD pipelines, version control (GitHub/GitLab), Jira, and automated testing frameworks. + **Security Automation** - Experience building and integrating with product APIs to drive SecOps efficiency. + **Cross-Functional Collaboration** - Comfortable partnering with product managers, security SMEs, and engineers to iterate quickly and deliver impactful solutions. **AI/LLM:** + **Prompt Engineering & LLM Integration** - Skilled in crafting, testing, and optimizing prompts for large language models. Ideally, you have contributed to or shipped an AI-powered feature or product, and understand the nuances of integrating LLMs into real-world workflows-including usability, performance, and trust considerations. + **AI Evaluation & Experimentation** - Capable of designing experiments to evaluate LLM output for accuracy, usability, performance, and cost **Preferred Qualifications** + **SOAR/SIEM Familiarity** - Experience working with security data and/or tools such as SIEM/SOAR platforms (e.g., Splunk), whether from a practitioner, developer, or automation perspective. + **Splunk Enterprise Security (ES) Experience** - Familiarity with ES architecture, correlation searches, notables, and risk-based alerting. Bonus if you've worked with Splunk's APIs, internals, or have experience developing on the Splunk platform. + **Security Operations Background** - Former Tier 3 SOC analyst or equivalent, with experience automating SecOps workflows and building scalable, resilient detection infrastructure. + **RAG and Vector Search Implementation** - Hands-on experience developing retrieval-augmented generation pipelines and working with vector databases (e.g., FAISS, Pinecone). + **LLM Fine-Tuning and Embeddings** - Exposure to fine-tuning large language models or generating custom embeddings for domain-specific tasks in cybersecurity. + **Security Data Engineering** - Experience building and maintaining pipelines for ingesting, parsing, and normalizing large-scale security telemetry. + **UX and Human Factors for Analysts** - Background or interest in designing intuitive, AI-assisted analyst workflows with a focus on usability, trust, and decision support. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $291,500.00 to $369,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $291,500.00 - $424,400.00 Non-Metro New York state & Washington state: $259,400.00 - $377,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like Llama2, GPT2, GPT3 and beyond, as well as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trn1. Experience optimizing inference performance for both latency and throughput on these large models using Python, Pytorch or JAX is a must. Deepspeed and other distributed inference libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed inference support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Trn2 servers. Strong software development using Python/C++ and ML knowledge are both critical to this role. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Title: Machine Learning Engineer Company: Actifai The Role Actifai is looking for an experienced and motivated Machine Learning Engineer (MLE) to join our growing team. Embedded within the Data Science team, the MLE will play a critical role in scaling our ML and AI infrastructure and to support model development, deployment, and continuous reinforcement learning. This is a high-impact position tasked with shaping automation workflows and making architectural decisions. Part of the role will be building agentic AI systems. These LLM-based agents will automate complex, multi-step workflows, from customizing customer's plan recommendations to assisting sales and support teams, enabling more personalized, efficient, and scalable customer experiences. Responsibilities Build, Maintain, and Enhance Infrastructure & Systems including: The API we use for model inference, ensuring performance, reliability, and scalability. Cloud-based infrastructure for scalable and efficient model training. Robust ML pipelines for streamlined deployment and experimentation. Application & Integration Build software layers that integrate ML models with our core application and APIs. Collaborate with data scientists, software engineers, data engineers, and product teams to deliver end-to-end AI solutions. Product Development R&D Build the infrastructure to deploy the models developed by our Data Scientists for new end-to-end AI products Build agentic workflows that automate tasks such as customer query resolution and sales assistance. Automation & Tooling Lead the automation of our end-to-end client model onboarding process, reducing manual effort across: Data ingestion and transformation Exploratory data analysis Model training, validation, and deployment Unit testing and post-deployment updates in response to client-specific or market-driven changes Build tools and internal frameworks to improve model reproducibility, monitoring, and lifecycle management. Qualifications 5+ years of experience in Python Proficiency in building and consuming RESTful APIs (we use FastAPI with Pydantic) Familiarity with the machine learning lifecycle and modern ML engineering practices Hands-on experience with Docker, Airflow, and Kubernetes for containerization and orchestration Experience working in cloud environments (Google Cloud Platform preferred) Proficiency in SQL (BigQuery and PostgreSQL are a plus) Bachelor's degree in computer science, systems engineering, machine learning, data science, or a related technical field - or equivalent professional experience Nice to Have Experience with A/B testing infrastructure or experimentation platforms Background in MLOps, model monitoring, or validation Familiarity with deploying models like Gradient Boosted Decision Trees, generative models, or neural networks Past involvement in zero-to-one product development initiatives The Company Actifai is the leading provider of AI software for customer sales and experience operations in the broadband industry. We work with several of the largest telecommunications providers in North America and have just begun further international expansion. Our platform delivers intelligent, data-driven sales and support recommendations that guide both consumers and front-line agents during digital, phone, and in-person engagements. These recommendations are grounded in behavioral patterns learned from millions of real-world customer interactions, allowing us to surface the right options, actions, and guidance in the moments that matter most. But we don't just build models-we operationalize AI-backed intelligence. Actifai's software delivers our proprietary models via polished UIs and tightly integrated workflows, while our continuous learning systems adapt to new data, improve performance over time, and even inform the development of entirely new software solutions. Actifai was created in 2019 within Foundry.ai, a technology studio focused on building practical AI applications for Fortune 1000 companies. Foundry's backers include The Pritzker Organization, Breyer Capital, and Madrone Capital Partners. Benefits and Culture Actifai offers an extremely competitive compensation package, including equity, employer-covered health/vision/dental insurance (with an optional FSA), and 401k matching. Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C. Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role. For additional information on benefits and what it's like to work at Actifai, please visit actif.ai/careers. Finally, we highlight that excellence has no single mold, particularly in a field as rapidly evolving as AI. We're looking for excellent candidates of all backgrounds with strong business intuition and coding skills, and welcome applicants regardless of ethnic/national origin, gender, race, religious beliefs, disability, sexual orientation or age.

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place. Key Responsibilities: Design, implement, and maintain ML deployment pipelines for scalable production systems. Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability. Build robust model monitoring, logging, and alerting systems to track performance and detect drift. Partner with data scientists to transition models from research/prototype into production-ready deployments. Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment. Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems. Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems. Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements. Qualifications: 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role. Proven experience deploying and maintaining machine learning models in production at scale. Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar). Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems. Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling. Strong understanding of MLOps best practices, monitoring, and automation. Excellent problem-solving skills, with an emphasis on building reliable, scalable systems. Strong communication and collaboration skills across technical and non-technical teams.

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company-we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility-whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we're growing!The role We're seeking a Senior Machine Learning Engineer to help orchestrate and scale the entire ML lifecycle at Cognitiv. As we transition from a legacy platform to a modern, automated, and highly scalable system, this role will be central in shaping the next generation of our ML infrastructure. You'll own automation across data ingestion, model training, deployment, and monitoring, enabling rapid experimentation and iterative refinement while maintaining operational excellence. This is a high-impact opportunity to reduce bottlenecks, streamline workflows, and drive architectural improvements that power a wide variety of models critical to Cognitiv's growth. Location: This is a Hybrid role (MTW in office) out of our Bellevue WA or San Mateo CA office. What You'll Do Own the entire ML lifecycle-from data exploration and model development to deployment, monitoring, and continuous improvement. Build and maintain scalable data pipelines and infrastructure to support automated model training, evaluation, deployment, and lifecycle management. Redesign and optimize systems to handle scalability challenges and complex workflows. Collaborate cross-functionally with product, engineering, operations, and ML teams to drive alignment and impact. Take ownership of core codebases while mentoring and supporting junior engineers. Tech Stack Languages/Frameworks: Python (primary), PyTorch Lightning Cloud/Infra: AWS, Docker, Apache Airflow Data: ClickHouse, S3, distributed data processing tools Models: Deep Learning, LLMs, Hugging Face ecosystem Who You Are Senior Engineer - You've delivered complex systems end-to-end and write strong, production-level Python. MLOps expertise - You're skilled in ML automation, infrastructure at scale, and building robust pipelines. Deep learning practitioner - You're hands-on with PyTorch (ideally PyTorch Lightning) and familiar with LLMs and the Hugging Face ecosystem. Cloud & infra fluent - You know AWS, Docker, and Airflow, and you're comfortable managing TB-scale data. Architect + builder - You think strategically about long-term system design while still rolling up your sleeves to code. Owner mindset - You take full responsibility for production codebases and drive them forward independently. Resilient & gritty - You thrive in ambiguity, manage competing priorities, and push through obstacles. Strong communicator - You collaborate effectively across technical and non-technical stakeholders, resolving conflicts productively. In-person collaborator - You want to work onsite MTW in Bellevue, WA. Bonus Points If You Have Startup or AdTech experience. Experience with ClickHouse or other high-performance analytical databases. Familiarity with PySpark or distributed processing. Low-latency model serving experience. Advanced degree (MS/PhD) in a relevant field. Strong C++ programming background. Salary $200,000-$220,000 Base Salary + Equity What We OfferCompensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv-you'll also receive equity and a comprehensive benefits package.Highlights include: Medical, dental & vision coverage (some plans 100% employer-paid) 12 weeks paid parental leave Unlimited PTO + Work-From-Anywhere August Career development with clear advancement paths Equity for all employees Hybrid work model & daily team lunch Health & wellness stipend + cell phone reimbursement 401(k) with employer match Parking (CA & WA offices) & pre-tax commuter benefits Employee Assistance Program Comprehensive onboarding (Cognitiv University) …and more! What You'll Find at Cognitiv Festiv - We make work fun with cross-team games, events, and creative team bonding. Responsiv - You'll be close to clients and leadership, influencing real outcomes. Inclusiv - Diversity and individuality are celebrated across all levels. Inventiv - We reward curiosity and embrace bold ideas. Transformativ - We support your growth with training, mentorship, and flexibility. Collaborativ - We operate across coasts, connected by purpose and teamwork. Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid Who We Need Join Truveta's Intelligence Platform and Applications team to engineer the next wave of healthcare AI - developing adaptive agentic systems and fine-tuned foundation models that continuously learn, reason, and accelerate real-world impact. Guided by Truveta's mission of Saving Lives with Data, you'll help transform how health data becomes intelligence, powering breakthroughs that enable clinicians and researchers to make data-driven, proactive, and impactful decisions. We are seeking Senior Machine Learning Engineers who thrive at the intersection of machine learning, applied AI, and large-scale engineering. You'll blend ML craftsmanship with platform engineering excellence to create scalable, self-improving AI agents and models that learn from vast, diverse healthcare data and deliver meaningful insights through automation and reasoning. You'll help shape the AI capabilities that make healthcare more intelligent, efficient, and equitable - driving real-world impact across research, care delivery, and patient outcomes. This Opportunity Patients, doctors, and medical researchers deserve to benefit from the same large-scale technological innovations and artifical intelligence that have transformed productivity, creativity, and communication. As part of the Intelligence & Application Platform team, you'll use your expertise in applied AI, model optimization, and agentic intelligence to create systems that think, adapt, and improve R&D, business strategy, operations and care delivery across the healthcare ecosystem. If you're seeking a sense of purpose and are motivated to advance how AI supports learning, decision-making, and discovery in healthcare, you'll find this an inspiring place to grow. You'll work in an ambitious, fast-paced and collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful. We Are Seeking Senior ML Engineers Who: Design and reason with agentic AI frameworks - experienced in building multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, integrating reasoning, planning, and memory to create intelligent, goal-driven systems. Bring a deep understanding of LLM fundamentals - knowledgeable in transformer architectures, attention mechanisms, and tokenization principles. You understand how embeddings, context windows, and model scaling laws influence quality, cost, and performance. Work fluently with embeddings and vector stores - experienced in building or integrating retrieval-augmented generation (RAG) pipelines, managing vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search, or similar), and leveraging semantic search or context injection to enhance reasoning. Excel at model fine-tuning - with hands-on expertise fine-tuning large language models (LLMs) or multimodal models using supervised, reinforcement, or instruction-tuning techniques (e.g., LoRA, PEFT, TRL). Skilled at optimizing model efficiency, interpretability, and inference performance. Think and build like engineers - grounded in strong software design principles, modular architecture, and code quality. You can translate experimental ideas into robust, maintainable systems that integrate seamlessly within large-scale AI platforms. Collaborate across boundaries - partnering with platform, application, and product engineers to transform concepts into scalable, reliable AI solutions. You communicate clearly, share knowledge openly, and thrive in cross-functional teams. Demonstrate senior-level ownership - capable of setting technical direction, mentoring peers, and making pragmatic design trade-offs that balance innovation, performance, and reliability. Understand evaluation deeply - fluent in ML validation and measurement (Precision, Recall, Specificity, NPV, etc.), and experienced designing reward functions, evaluators, or grader models for reinforcement fine-tuning and continuous improvement. Adapt and learn continuously - staying ahead of evolving AI architectures, agentic frameworks, and emerging paradigms in reasoning and retrieval. You have curiosity, humility, and a bias for iteration. Act with purpose - applying thoughtful engineering and ethical AI principles to create systems that advance healthcare intelligence responsibly and at scale. Key Qualifications 5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment. Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A. Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL. Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines. Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP). B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person) The base pay for this position is $165,000 to $190,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.