Machining associate jobs near me - 220 jobs

Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client : Title of Role: Machine Learning Engineer Location: San Francisco, CA Company Stage of Funding: Series A Office Type: Onsite (5 Days a Week) Salary: $140,000 - $240,000 + Equity (0.2% - 0.8%) Company Description We are partnering with a rapidly growing Series A healthcare AI company that's transforming how medical systems operate. Backed by premier investors including YC and General Catalyst, the company has raised $14M and is solving some of the most complex operational challenges in American healthcare using cutting-edge AI. Their flagship platform streamlines prior authorization workflows by analyzing EHR data, accelerating patient access to care, and improving provider revenue. Despite being early-stage, the company has already signed enterprise contracts with major U.S. health systems and is scaling quickly. They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models. What You Will Do Design and develop LLM-powered pipelines to process various medical documents, including handwritten clinical notes. Build production-ready question-answering systems that extract actionable insights from structured and unstructured patient data. Create ML solutions that automate integrations between EHR platforms and other healthcare infrastructure systems. Own ML features from research and experimentation to scalable deployment in real-world healthcare environments. Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals. Continuously iterate on and improve ML models, pipelines, and infrastructure to ensure performance and scalability. Ideal Candidate Background 5+ years of hands-on experience building and deploying production-grade machine learning systems. Strong expertise in training and fine-tuning large language models (LLMs), beyond basic API use. Deep understanding of ML frameworks such as PyTorch and TensorFlow. Proven success in roles at companies with mature ML environments (e.g., FAANG, AI startups, or top-tier ML-focused orgs). Prior work in document processing, information extraction, or question-answering systems. Preferred MS or PhD in Computer Science or a related STEM discipline, or equivalent industry research and production experience. Exposure to fast-paced startup environments with small, collaborative teams. Contributions to ML research or publications are a plus, but not required. Experience in healthcare tech or working with EHR data is a bonus. Compensation and Benefits Base Salary: $140,000 - $240,000 Equity: 0.2% - 0.8% stock options Visa Sponsorship: H1B transfers supported Work Schedule: Full onsite presence (5 days/week), working west coast hours Additional Perks: Join a tight-knit engineering team of 11, with high-impact ownership and the opportunity to help shape the future of healthcare AI from the ground up. #J-18808-Ljbffr

Odins3 Remote / Seattle Full-time Posted 685 days ago AI Development 3+ years $160K - $220K 0.05% - 0.2% equity Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development. About This Role Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically. This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization. Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users. Requirements 3+ years ML engineering experience Strong Python, TensorFlow/PyTorch background Experience with computer vision and NLP Knowledge of web technologies and design principles Experience with MLOps and model deployment Understanding of design systems and UI/UX principles Experience with cloud platforms (AWS, GCP, Azure) Knowledge of containerization and orchestration Experience with A/B testing and experimentation Strong data analysis and visualization skills Responsibilities Develop ML models for automated web design Deploy and monitor ML models in production Research and prototype new AI capabilities Optimize model performance and accuracy Build data pipelines for training and inference Collaborate with design team on AI‑generated layouts Contribute to ML platform and infrastructure Required Skills & Technologies Python TensorFlow PyTorch Scikit‑learn NumPy Computer Vision NLP MLOps Docker AWS Redis Airflow Git Equity package: 0.05% - 0.2%. Unlimited PTO and flexible hours. $4,000 annual learning budget. Top‑tier hardware and equipment. Conference attendance support. Health and wellness benefits. Team building and social events. Fully remote with optional quarterly in‑person sessions. Flexible schedule with some overlap with PST hours. Reporting Structure Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team. Job Summary Department: AI Development Experience: 3+ years Type: Full‑time Location: Remote / Seattle Equity: 0.05% - 0.2% Posted January 12, 2024 About Odins3 We're revolutionizing web development with AI‑powered tools that make creating beautiful, functional websites accessible to everyone. Join our innovative team and help shape the future of digital experiences. #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs. We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge. What you'll do Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions Prototype innovative, LLM-powered experiences, and drive their development into robust product features Help build a world class AI/ML engineering team by recruiting and mentoring teammates Who you are You have a BS or MS degree in CS, AI, or applied math You have 5+ years of experience building AI/ML based products in NLP domains You have a strong understanding of deep learning AI/ML frameworks or cloud services You have hands-on ML Ops experience Bonus Points Experience leading AI/ML product initiatives Publications in applied AI/ML scientific journals Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc) Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #J-18808-Ljbffr

San Francisco, United States | Posted on 01/14/2026 We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities. What we do Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous. With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes. At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone). We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide. What you'll do Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. Deploy trained models to edge compute devices with real-time inference constraints. Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring 3+ years of hands‑on ML experience, preferably in robotics, computer vision, or embodied AI. Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). Strong Python skills and experience with ML libraries. Bonus: Experience with Vision‑Language‑Action models, foundation models, or deploying models to edge devices. Additional Notes Our team develops on physical robots in person-expect hands‑on testing and debugging Need to be located or willing to relocate to San Francisco, CA Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet Come join us in building a new global economy, where anyone can do manual work remotely and with robo‑scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong Python and C/C++ design and implementation skills. Knowledge of deep learning and ML frameworks (i.e. PyTorch). Strong software design skills with a focus on usability. Strong analytical, debugging and problem-solving skills. Experience in Embedded Software development. At least 3 years of work experience in a relevant field. Preferred extra experience and skills: Excellent programming capabilities in Java. Knowledge of Generative AI (GenAI) technologies. Knowledge of Android programming is a plus. Knowledge of neural network model optimization and on-target deployment is a plus. Previous experience with Docker, Git and CI/CD. Knowledge of NPUs / ML accelerators. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits: $140,800.00 - $211,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A culinary essentials distributor is seeking a Machine Learning Engineer to design predictive models and automate ML pipelines. You will work with data science teams to turn prototypes into production code. Ideal candidates have over 2 years in ML engineering, proficient in Python, and familiar with tools like TensorFlow and AWS. The role offers flexible remote or hybrid work options and a competitive salary range of $50,000 - $200,000 USD annually based on experience and location. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics ML Accelerator architecture knowledge & experience with ML Accelerators - GPU/NPU Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills. Strong command of Machine Learning training frameworks (i.e. PyTorch ) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Hands-on experience developing software for heterogenous platforms with OpenCL. Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments. Prior experience with model quantization, profiling and running models on edge devices. Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git. Preferred qualifications: Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Pay range: $140,800.00 - $211,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we're the first to produce a digital K-1. Learn more at ********** About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software's ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! Responsibilities Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents. Collaborate with cross-functional teams to integrate machine learning solutions into our software products. Apply statistical analysis to identify signals, trends, and insights that can inform product development. Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment. Qualifications Masters' or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects Demonstrated experience leading end-to-end data science project implementations Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spa Cy) Preferred experience: Previous experience with applications of NLP to financial documents Familiarity with alternative investment accounting needs Experience deploying machine learning models using containerization and orchestration technologies Benefits: Unlimited Vacation Policy+ Sick Time + Holidays Paid Parental Leave Fully Remote Opportunity Healthcare Benefits and 401K Growing Startup Culture #J-18808-Ljbffr

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you. You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value. What you'll do Design, build, and deploy machine learning models and systems that operate reliably at scale in production Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings What you have Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar Experience with cloud platforms and containerization technologies Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core Datastores: Postgres, MemcachedRedis, Elasticsearch Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration Version control: Gitlab AI Tooling: Cursor, Github Copliot, Claude Code Observability: Datadog Perks Equity stake Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching program Student loan support resources Health, vision, dental, and life insurance Up to $25k towards family building and reproductive health services Gender-affirming care support program $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $120 per month to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $145,000-$209,000 USD. This role is also equity eligible. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here. #LI-Remote

At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented - in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Senior Machine Learning Engineer (Recommendation Systems) Philo's recommendation system improves user engagement and customer satisfaction by tailoring content discovery to individual preferences and viewing habits. We want users to be confident that Philo will have something they want to watch every time they open the app. We are seeking a Senior Machine Learning Engineer to lead our content personalization efforts, shaping experiences that impact millions of users. In this role, you will research, design, and build advanced algorithms and large-scale systems that power Philo's recommendation engine. As a senior member of a growing team, you will tackle complex machine learning challenges and collaborate with data science, product, infrastructure, and backend engineering teams to deliver innovative, data-driven personalization solutions. Your work will directly impact content discovery, deepen user engagement, and drive long-term retention. Responsibilities: Lead development of recommendation systems: Design, build, and optimize advanced algorithms for SVOD, Live TV, and FAST personalization. Drive ML innovation at scale: Conduct deep dives into models and system components, ensuring performance, scalability, and robustness across regions and product areas. Own the ML pipeline: Build and maintain reliable pipelines for data extraction, feature engineering, model training, testing, and deployment. Collaborate with Product, Data Science & Engineering: Translate product requirements into ML solutions, set clear expectations, and deliver measurable improvements in user engagement. Advance deep learning in recommendations: Apply frameworks such as TensorFlow, PyTorch, or similar to develop state-of-the-art recommendation models. Experimentation: Conduct rigorous A/B testing and ML experiments to understand model performance and iterate rapidly based on feedback. ML Vision and Roadmap: Contribute to the strategic planning of the recommendations roadmap, aligning engineering efforts with business objectives and user needs. Explore advanced architectures: Experience with frameworks like Two-Tower models and Deep Cross Networks (DCN) is a strong plus. Qualifications: 8+ years of experience in backend engineering and/or data science, including 4+ years focused on machine learning. Experience with recommendation systems is a big plus. Strong coding skills in Python, as well as proficiency in using ML frameworks like PyTorch or TensorFlow. Excellent analytical and problem-solving skills, with the ability to translate complex technical challenges into business solutions. Proven track record of leading projects and delivering impactful machine learning solutions. Strong communication and documentation skills; capable of explaining complex, technical concepts to non-technical stakeholders and to diligently document your work to help the team as a whole learn and move quickly. Experience with Amazon SageMaker or similar MLOps platforms More about Philo At Philo, we're a company that puts people first-both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email ******************** and we'll work with you to meet your needs. Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a Facebook co-founder and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: San Francisco, New York City: $175K - $235K Boston, DC Metro, Los Angeles, Seattle: $165K - $225K Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $155K - $215K Texas, Florida: $150K - $205K We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team: Full health, dental and vision coverage for you and your family 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay) Flexible working hours Up to 20 weeks of fully paid parental leave Unlimited paid time off for vacation and sick leave $2,000 annual vacation bonus (we pay you to take a two week vacation) $5,250 annually for professional development and educational assistance $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter) $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco) Free Gympass subscription - an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps Dog-friendly office And much more! For California Residents: Philo's CCPA Notice at Collection - Employees, Applicants, Owners, Directors, Officers and Contractors Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role Angi is seeking an exceptional Staff Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This technical leadership position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi's marketplace problems, demonstrating proficiency in software engineering. Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance. What you'll do Model Development: Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions). Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success. Model Deployment and Engineering: Design and architect robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, optimizing runtime performance of models, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, ml infra team, data scientists and product managers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Develop a long-term technical vision; propose a roadmap for team setting clear objections. Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are You hold a Master's or Ph.D. in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. You possess 7+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments. You are knowledgeable about large-scale distributed application architecture, design, implementation, and performance tuning. You have the ability to drive the roadmap and direction of scalable, production-quality systems end-to-end, and effectively communicate cross-functionally with Product and Engineering teams. You have practical knowledge of advanced machine learning algorithms and deep learning to deploy for search systems, information retrieval, and ranking algorithms. You are proficient in SQL, Python and ML frameworks (such as TensorFlow and PyTorch) with strong coding skills. You possess excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi , the industry's leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we're rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit **************** Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. Develop and maintain backend services using Python, focusing on AI-driven applications. Design and implement APIs for seamless integration with AI models and services. Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. Participate in code reviews, testing, and quality assurance processes. Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. Document and communicate development processes, system designs, and architectural decisions. Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment. Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph. Experience working with voice AI technologies and conversational AI. Deepgram, PlayHT, ElevenLabs Telephony technologies, such as Twilio is a big plus Familiarity with cloud platforms such as AWS or Azure. Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. Passion for customer, innovation, product quality, service excellence, and test engineering The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. Experience working with microservices/an API-based application paradigm. Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Salary Range$150,000-$180,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at *********************************************

About the Company Rain makes the next generation of payments possible across the globe. We're a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain's next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat. What you'll do Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback) Build robust monitoring and alerting for model performance, latency, data quality, and drift Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle Partner with platform teams to meet strict SLAs for availability, latency, and accuracy Collaborate closely with talented engineers, data scientist and compliance teams across Rain Work in a fast-paced environment on a rapidly growing product suite Solve complex problems at the intersection of ML systems, data, and reliability What we're looking for 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field Proven track record designing and maintaining ML models at scale Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale Nice to have, but not mandatory Domain expertise in banking, payments, or transaction monitoring Experience with graph-based or network-level fraud detection techniques A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science) Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you'd like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more - all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions. SENIOR MACHINE LEARNING ENGINEER I - TS/SCI CLEARANCE Rocket Lab's Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Machine Learning Engineer I based at our Optical Systems site in Tucson, AZ, you will have the opportunity to collaborate with researchers on high-impact ML, AI, and computer vision projects. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space! WHAT YOU'LL GET TO DO: Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision Perform rapid prototyping and enhanced development to be integrated into operational systems Contribute your strong programming ability and experience to develop robust solutions for real-world problems Validate, optimize, and deploy advanced exploitation algorithms Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness Perform other duties as assigned Ability to support travel or off-site work, as needed YOU'LL BRING THESE QUALIFICATIONS: Bachelor's degree in computer science, electrical or computer engineering, mechanical engineering, physics, or other field 5+ years of software experience Active TS/SCI U.S. Government Security Clearance Proficiency in Python Experience with deep learning libraries (PyTorch, TensorFlow, etc.) Strong background in both classical and modern (deep learning) machine learning including model selection, architecting, training, validation, testing, and deployment Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Super Resolution Ability to apply modern AI approaches to solve real-world problems THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Machine learning experience with imagery or 3-D data Master's degree or PhD in computer science, electrical or computer engineering, mechanical engineering, physics, or other science or engineering field Classical machine learning methods Experience with AWS, docker, Agile development Experience curating quality, real-world datasets for training deep learning models Proficiency in C++, MATLAB ADDITIONAL REQUIREMENTS: Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing Must be physically able to commute to buildings Occasional exposure to dust, fumes and moderate levels of noise WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at ***********************.This dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do. Responsibilities Use machine learning techniques to create scalable solutions for business problems Analyze and extract key insights from rich stores of customer data Research and implement ML algorithms for a variety of business problems Automate processes for analyses, model development, validation, and implementation General application data and performance analysis Requirements 2+ years experience with: Natural language processing (NLP) Free-text analytics Machine learning (ML) algorithms Predictive modeling and analysis Data visualization software (Tableau preferred) Familiarity with AWS SageMaker Strong programming skills in Python Experience with SQL and NoSQL databases Strong problem-solving ability Excellent written and verbal communication and skills Degree in Computer Science or related field

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or PhD in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$138,905-$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

at Triton Digital Canada Inc. Are you passionate about new technologies and looking to be part of a software development team that is constantly striving for innovation in a warm, relaxed, and stimulating environment?We are looking for a Big Data Developer / Machine Learning Engineer to join our “Audience” team.Our success depends on our ability to tackle challenges together. We are technology enthusiasts. Always on the lookout for the best tools and methods to do our work, we also place great importance on communication skills and team spirit.If you're interested in building Business Intelligence tools that leverage data generated by millions of audio streaming users, read on!You're an excellent candidate if you: Are proficient in programming languages like Scala (a must) and Python (an asset). Have already developed applications that prioritize high concurrency and short response times. Have mastered data modeling and parallel processing concepts, and have solid knowledge of Big Data technologies (e.g., Apache Spark) and distributed data storage systems (e.g., Scylla DB). Have advanced knowledge of containerization tools (Docker, Kubernetes, Red Hat Openshift) and cloud platforms (e.g., AWS). Have experience with test-driven development (TDD) and are familiar with CI/CD tools such as GitHub Actions and Bamboo. Have already designed and optimized data processing pipelines using tools like Airflow. Have proven experience in Machine Learning engineering and operations applied to Big Data, and have worked with frameworks like Apache Spark for ML. Use AI tools in your software development work. Are autonomous and possess excellent problem-solving skills and analytical thinking. Have developed in Agile/Scrum environments. Have at least five years of professional experience as a Big Data developer. Your responsibilities: Develop new products/applications and enhance existing ones using Scala or other relevant technologies. Participate in all phases of the software development lifecycle: planning, design, coding, testing, deployment, monitoring, support, documentation. Write high-quality code to develop and maintain robust, large-scale applications. Work closely with data scientists to understand their models and translate complex algorithms into scalable solutions. Manage the lifecycle of machine learning models, including testing, deployment, and monitoring in production environments. Maintain documentation of processes and best practices, so team members can easily understand and follow established protocols. Collaborate cross-functionally with Big Data developers, Data Ops teams, and IT Ops to ensure seamless integration of ML solutions into the existing infrastructure. Be an engaged and positive member of a self-organized, multidisciplinary Agile team. Offer help and be open to asking for it in return. Be receptive to others' ideas while communicating respectfully. Work with the Product Manager and other product teams to help define the future solutions of the organization. Recommend technological choices and be capable of supporting them.

About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again! We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about - it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you. We are looking for Data Science/Machine Learning Engineers to join our growing team! ABOUT THE ROLE: As a Data Science/Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities. ABOUT YOU: You are a curious and driven Machine Learning Engineer with a strong foundation in Python and hands-on experience building and deploying ML models in cloud environments like AWS. You thrive on solving complex problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative mindset allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life. You stay current with the latest ML techniques and tools, and you're passionate about turning prototypes into production-ready systems that deliver real-world impact. RESPONSIBILITIES: Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals. Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches. Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data. Perform data processing using State of the Art LLM Models and technologies Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization's data strategy with novel ML and AI methods. Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management. Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes. Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices. REQUIRED QUALIFICATIONS: 5+ years of overall professional experience in data science, analytics, or a related field. At least 2-3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering). Education: Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Technical Proficiency: Coding knowledge and experience with Python Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development. Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks Familiarity with LLM evaluation, interpretability, and best practices. Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, , etc.). Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development. NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing) Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services. Preferred: experience with Document Processing Ability to obtain a Public Trust Clearance BENEFITS: We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits. Health Insurance -100% employer-paid premiums - ICA covers the full cost of one of three offered medical plans Dental Insurance Vision insurance Health Spending Account Flexible Spending Account Life and Disability insurance 401(k) plan with company match Paid Time Off (Vacation, Sick Leave and Holidays) Education and Professional Development Assistance Remote work from anywhere within the continental United States LOCATION & TELEWORK This is a remote position. Candidates residing in the DMV area preferred. ADDITIONAL INFORMATION: ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. See yourself at Twilio Join the team as Twilio's next Machine Learning Engineer. About the job Join Twilio's rapidly-growing AI & Data Platform team as an Machine Learning Engineer. You will design, build, and operate the cloud-native data and ML infrastructure that powers every customer interaction, enabling Twilio's product teams and customers to move from raw events to real-time intelligence. This is a hands-on, builder-focused role that offers clear technical ownership, mentoring, and growth inside a company defining the future of communications with AI. Responsibilities In this role, you'll: Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads. Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling. Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets. Monitor, test, and improve data quality, model performance, latency, and cost. Partner with product, data science, and security teams to ship resilient, compliant services. Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices. Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions. Embrace Twilio's “We are Builders” values by taking ownership of problems and driving them to completion. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or related field-or equivalent practical experience. 3-5 years building and operating data or ML systems in production. Proficient in Python and SQL; comfortable with software engineering fundamentals (testing, version control, code reviews). Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Dagster) and cloud data warehouses (Snowflake, BigQuery, or Redshift). Familiarity with ML lifecycle tooling such as MLflow, SageMaker, Vertex AI, or similar. Working knowledge of Docker and Kubernetes and at least one major cloud platform (AWS, GCP, or Azure). Understanding of data modeling, distributed computing concepts, and streaming frameworks (Spark, Flink, or Kafka Streams). Strong analytical thinking, communication skills, and a demonstrated sense of ownership, curiosity, and continuous learning. Desired: Experience with Twilio Segment, Kafka/Kinesis, or other high-throughput event buses. Exposure to infrastructure-as-code (Terraform, Pulumi) and GitHub-based CI/CD pipelines. Practical knowledge of generative AI workflows, foundation-model fine-tuning, or vector databases. Contributions to open-source data/ML projects or published technical presentations/blogs. Domain experience in communications, marketing automation, or customer engagement analytics. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600. Based in the San Francisco Bay area, California: $163,100 - 203,900. This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.. Applications for this role are intended to be accepted until May 20, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.