Machining engineer jobs in Kirkland, WA

Title: Service Engineer - Cloud Security & Azure Service Fabric Worksite: Onsite About WCT WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you will be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution. Role Overview You'll implement and manage changes across Service Fabric clusters, cloud services, and adjacent infrastructure to achieve high reliability, security/compliance alignment, and operational excellence. The role emphasizes automation, secure deployments via ADO (YAML) pipelines, secret rotations, geo expansion (including sovereign cloud), and modernization-migrating legacy workloads, consolidating services to improve cost, and simplifying architecture (distributed systems troubleshooting is key). What You'll Do Own health, configuration, and change management for multi region Azure Service Fabric clusters; author rollout/upgrade templates and monitor with Azure Monitor/Application Insights/Geneva. Build, maintain, and harden Azure DevOps (ADO) YAML pipelines; manage libraries, variable groups, service connections, certificates, and secrets; eliminate PATs/local authorities by adopting workload identity. Provide support for S360 and SFI platforms, ensuring compliance and reliability across integrated workflows enabling Security initiatives like securing azure resources(through IaC), securing build/deployment pipelines, enabling modern security practices and mitigating application security concerns raised by Microsoft as best practices etc. Drive geo expansion and sovereign cloud enablement; design traffic flows with Azure Front Door (Premium), Traffic Manager, DNS; prepare IPv6 ready ARM/Bicep templates. Lead modernization such as Service Fabric → AKS transitions, service consolidation, and cost optimization (rightsizing, reserved instances, eliminating waste). Troubleshoot distributed systems end to end (service model, deployment, networking, data); debug C#/.NET services; and resolve Cosmos DB issues where needed. Document runbooks/operational standards; automate with PowerShell; uphold security/compliance best practices and change control. What You'll Bring 5+ years in Azure engineering/SRE/DevOps working on distributed systems and cloud automation. Hands on expertise with Azure Service Fabric (stateless/stateful apps, node types, cluster upgrades) and ADO YAML pipelines. Proficiency in scripting (PowerShell); working knowledge of C# for service/debug scenarios. Experience with observability tooling (Azure Monitor, Application Insights, Geneva) and Kusto for diagnostics. Experience in security initiatives like securing azure resources(through IaC), securing build/deployment pipelines, enabling modern security practices and mitigating application security concerns raised by Microsoft as best practices etc. Familiarity with compliance frameworks (e.g., ISO 27001, SOC 2; HIPAA/GDPR as applicable). Nice to have: AKS/Kubernetes, 1ES/OneBranch/1CDN, Azure networking (AFD, Traffic Manager), Cosmos DB. IaC (ARM/Bicep) Compensation / Salary Range The typical pay for this role across the U.S. is USD 90,000 yearly to USD 110,000 yearly. Factors that may affect pay within or outside of this range may include but are not limited to geography or market, skills, education, experience, and other qualifications of the successful candidate. Benefits Medical, dental, vision, life, PTO, holidays, 401(k) benefits, and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment. WCT will accept applications, and process offers for this role until the role is closed. Equal Employment Opportunity Declaration WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex including pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airlines (BCA), ETC (Electrical Technical Center) Electrical Design organization has an exciting opportunity for a Wiring Design and Installation Engineer (Experienced or Senior) in Everett, WA and Renton, WA to help us define the future of commercial aerospace with innovative ideas that advance or culture of safety and quality that our customers, the flying public expect. Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Wiring Design and Installation Engineers. Position Responsibilities: You will be responsible for developing and maintaining electrical product detail, assembly and installation designs (e.g., equipment racks, power panels, cable routing and geometry, antennas) for our diverse portfolio of advanced Commercial Aircraft. Our greatest current need involves developing and maintaining critical electrical cable/wire harness installation, detail and assembly designs. This includes defining the physical routing layout of wire routing throughout the airplane. You must take into account such requirements as wire supports and brackets, separation to maintain physical and functional safety, proper parts selection, as well as environmental impacts on the many parts that make up the system of wire harnesses. All while ensuring that Safety and Quality are the number 1 priority. You will also develop and analyze engineering design disposition on discrepancies (e.g., rejection tags, production action requests and shop revision requests). This often involves working closely and collaborating with our partners on the factory floor to ensure our designs can be built efficiently and safely. You will follow and look for improvements to documented processes, specifications and procedures that support safe and quality design and manufacture of electrical commodities. You will develop basic statements of work. Also, participate in technical reviews of supplier capabilities to facilitate source selection. You will analyze functional and physical requirements to assure the development of integrated designs and system architecture. Actively supporting critical analysis and design reviews. You will work with and under general supervision of a lead engineer and an experienced mentor to enhance both your technical learning and career growth. Work Authorization: The position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. § 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelor's, Master's or Doctorate of Science degree from an ABET accredited course of study in engineering and ABET accredited college / university. 3+ years of experience with wire harness, electrical and/or mechanical design. Preferred Qualifications (Desired Skills/Experience): 5+ years of related work experience or an equivalent combination of education and experience. 3+ years of experience in Computer aided design (CAD) tools are a plus. Experience working in a cross functional team environment and have good verbal and written communication skills. Knowledge of CATIA V5. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Experienced (Level 3): $104,550 - $141,450 Senior (Level 4): $128,350 - $173,650 Additional Information: Formal training is available as part of the job. All information provided will be checked and may be verified. Applications for this position will be accepted until Dec. 15, 2025 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Who is Wyze? Wyze is a high-growth, Series B, consumer technology company. Our vision is to make great technology accessible to everyone through our smart home platform. Our aim is to serve everyday people, like me, you, and our friends and families, with products and services that are too good to be true. We want employees who will be inspired by this and welcome all who will help us build the next amazing chapter at Wyze. Wyze is home to some of the most innovative products and services in the market. Forbes named us in their America's Best Startup Employers 2023 list, Time Magazine selected us for their 100 Most Influential Companies of 2022, Fast Company named us as one of the Most Innovative Companies in 2021and PCMag gave our Cam v3 an Editor's Choice Award. We disrupted the market with our Wyze Cam v1 and then quickly took over as a market leader in the space. We recently disrupted it again with our revolutionary Cam Plus Pro service. GeekWire calls us a start-up to watch and one of the Pacific Northwest's next unicorns… and we are just getting started. Our people-centric innovative vision is not only present in our products and services, but it is also embedded in the fabric of our company. We were just listed in the Top 100 Best Places to Workby Built in Seattle, listed as one of their Best Midsize Companies to Work For and awarded as one of their Companies with the Best Benefits. Seattle Business Magazine certified us as a Best Places to Work too! We value the unique life experiences every employee brings to work every day. We are committed to creating an inclusive environment whereby our employees are encouraged to be their authentic whole selves and are rewarded for their impact across the company. Everyone is welcome and empowered to do the best work of their lives. If you are based in the Greater Seattle Metropolitan area, we are working hybrid (three days a week in the office and two days a week remote). Come join us and make the impossible possible! Overview: Wyze is seeking a talented and dedicated Senior Product Security Engineer to join our dynamic and rapidly growing team. As a Senior Product Security Engineer at Wyze, you will play a critical role in safeguarding our systems, networks, and data, ensuring the security and privacy of our products and services. You will collaborate with cross-functional teams and be responsible for implementing and maintaining security measures, monitoring for threats, and responding to incidents. Key Responsibilities: API Pentesting Mobile Pentesting Binary exploitation secure source code review Security Implementation: Design, implement, and maintain security measures for Wyze's Smart Products. Threat modeling for hardware products, creating SBOM for firmware, pentesting IoT smart devices and cameras. Vulnerability Assessment: Conduct regular security assessments and vulnerability testing to identify and remediate potential weaknesses in our products and applications. Security Policies: Develop and enforce security policies, standards, and procedures to ensure compliance with industry best practices and relevant regulations. Collaboration: Work closely with cross-functional teams, including software developers, DevOps engineers, and IT teams, to integrate security into the software development lifecycle and ensure a proactive security posture. Security Research: Stay updated on emerging threats, vulnerabilities, and industry best practices, and provide recommendations to improve our security posture. Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field. Advanced degrees or relevant certifications are a plus. Security Assessment and Penetration Testing: Conduct ethical hacking and penetration testing on camera devices and web applications to identify vulnerabilities and security flaws. Proven experience in cybersecurity roles, emphasizing embedded systems, network, and application security. Security Implementation: Develop and implement robust security measures to protect camera devices, web applications, and data infrastructure from unauthorized access and potential threats. Data Management and Query Optimization: Manage and optimize data queries in Snowflake, ensuring data integrity, efficiency, and compliance with data governance standards. Knowledge of cybersecurity frameworks and standards such as NIST, ISO 27001, or CIS. Proficiency in security tools and technologies, including firewalls, intrusion detection systems, SIEM solutions, and more. Strong programming and scripting skills (e.g., Python, Bash). Relevant certifications such as OSCP, OSWE , OSED, OSEE are preferred. IoT Embedded exploit researcher Manual Static code analysis review Exceptional problem-solving skills, attention to detail, and strong communication abilities. Our Benefits Wyze has a full benefits package through Premera Blue Cross. This includes Medical, Dental, Vision, Basic Life Insurance, Voluntary Life Insurance, EAP, Short-term disability, Long-term disability, FSA, and Daycare FSA. Employee premiums will be paid 100%, and about 67% paid premium for dependents. 12 Holidays - 8 set holidays and 4 Floating Holidays for you to use however you choose 24 days of PTO every year Additional Wyze anniversary vacation days Principal 401k Plan - there is no company match at this time Rosetta Stone reimbursement if you'd like to learn Mandarin $50 a month reimbursed as a technology stipend - taxes apply Wyze employee product perks: Wyze employees receive an array of our most loved products and services, as well as Wyze software services once they are launched. Employees also get a chance to participate in our beta program for unreleased products to help make Wyze better for all! Come Join Us! If this sounds too good to be true and you are ready to be part of #teamwyze, then we want to hear from you! Please send us a cover letter that showcases some of the outstanding things you can do and how you feel they could apply to our vision and projects here at Wyze! We will ensure individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at *******************. Lastly, and exceptionally important to us: we are an equal opportunity employer and value diversity as well as inclusion here at Wyze. We are fully committed to providing equal employment opportunities for all employees and all applicants for employment. That's how we do things! Job Type: Full-time Pay: $140,000 - $220,000 per year

Kodiak is seeking a resourceful individual with broad knowledge and understanding of HVAC and related systems to join our team as a Mechanical Design Engineer. You will be responsible for performing a wide range of HVAC activities for commercial and industrial customers. We are looking for someone who can contribute, grow, think, and create. This is not a remote position. Candidates must live within a reasonable commute distance to our office in Tacoma, WA (or plan to relocate prior to hire date). SALARY RANGE: $150,000 to $165,000 per year JOB FUNCTIONS AND DUTIES (other duties may be assigned) Work with Sales and Project Managers to provide timely field-related design solutions for our customers Analyze customer specifications and performance requirements to determine mechanical designs Assist with budgets, pre-contract designs and presentations Active participant in all aspects of system design process: research, design, load calculations for system sizing, layout, sizing of components, equipment selection Manage projects with both internal and external deadlines and changing time constraints Design all details for construction required elements for installation Assure all code requirements are met providing necessary information for permit application Produce O&M's, Commissioning and other documents required for project communication and completion Perform site surveys as required to verify details necessary for complete and accurate design Monitor design standards and implement/practice quality control EDUCATION AND EXPERIENCE BS in Mechanical Engineering or related field Three years related experience in HVAC or construction industry Related experience in plumbing design preferred, but not required Equivalent combination of education and experience is acceptable Working knowledge of Microsoft Office products, CAD, Revit a plus OTHER QUALIFICATIONS Familiarity with HVAC principles and technical applications Ability to comprehend and implement applicable HVAC related federal, state and local laws, codes and regulations Read, analyze, and interpret information including blueprints, drawings, and equipment specifications Strong verbal and written communication skills Effectively present information and respond to questions from internal and external clients Highly motivated team player with the ability to positively work with others Self-motivated with strong interpersonal skills, achievement oriented, excellent problem solving, time management, organizational, and relationship building skills CERTIFICATES, LICENSES, REGISTRATIONS Valid Driver's License Professional Engineer (PE) License preferred, but not required PHYSICAL DEMANDS & WORK ENVIRONMENT Frequently required to sit, stand, walk, talk, hear, see, and use hands to operate computer keyboard, mouse, and telephone Occasionally lift and/or move up to 25 pounds Typical office environment with occasional visits to other offices and commercial/industrial business environments Noise levels in our office are low to moderate, other sites may have moderate to high noise levels Daily job stress runs from minimal to high, based on varying factors of site considerations, time constraints, travel requirements, and customer needs Reasonable accommodation may be made to enable those with disabilities to perform the essential functions of this position Benefits Offered: Medical, dental, and vision insurance with company premium contribution Company paid basic life insurance, long-term disability, and three Employee Assistance Programs [EAP] Voluntary [employee paid] short-term disability, additional life insurance, and AFLAC 401K and Roth retirement plans with employer matching funds Flexible Spending Accounts and Health Savings Accounts available 7 paid holidays per year 80 hours vacation pay, accrued by hours worked and available after 90 days [Accrual increases after 5 and 10 years of service] 48 hours paid time off per year [prorated for first year of employment] Vehicle Allowance Discretionary bonuses

- CAD Engineer RATE- $50/hr Job descriptions: - 10+ years of experience required EDA Semiconductor Design Enablement Responsible for supporting and optimizing Electronic Design Automation (EDA) tools and flows used in silicon design. This role bridges design teams and infrastructure, ensuring high availability, performance, and scalability of CAD environments across front-end and back-end workflows.

Compensation: $190K - $230K Base + Equity + Bonus opportunities Our client, an early-stage technology company is seeking a Staff Platform Engineer to help build the foundation of its next-generation platform. The team is focused on creating smarter, more intuitive customer experiences by leveraging modern software and AI technologies. This role offers the chance to work closely with experienced founders and contribute to shaping a product designed to transform a major software category. Responsibilities: Design and develop high-quality software, driving architecture and full lifecycle delivery of new platform capabilities. Collaborate with cross-functional teams to deliver features on time. Build integrations with tools across the ecosystem. Partner with leadership on strategy for customer-facing experiences. Write technical documentation and improve internal processes. Take ownership of technical direction and decisions. Mentor engineers in the technology stack. Establish engineering standards and best practices. Qualifications: 8+ years of experience building scalable platforms. Strong understanding of database internals and schema design. Experience with AWS. Interest in integrating AI/LLMs into products. Hands-on experience with data pipeline technologies (Spark, Flink, etc.). Proficiency with React, TypeScript, Next.js, and Postgres. Strong problem-solving skills with a focus on impact. Experience taking software from concept to launch. Why Join: Impact: Play a pivotal role in shaping the technical foundation of a new product. Growth: Collaborate with a highly skilled team across engineering, product, design, and go-to-market functions. Rewards: Competitive compensation package including base salary, equity, and bonus opportunities. Environment: Hybrid flexibility with a culture that values innovation, collaboration, and excellence. Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws

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. 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

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.

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! We are building an advanced AI platform that powers next-generation creative workflows for flagship products like Photoshop and Lightroom. As a Sr. Machine Learning Engineer, you will combine hands-on engineering with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and vision-language models (VLLMs). In this role, you will: * Build core agent capabilities, including planning, memory, verification, and tool orchestration. * Integrate with multi-tenant runtimes across desktop, web, and mobile surfaces. * Partner with product and platform teams to deliver reliable, scalable, and delightful AI experiences for millions of users. * Evaluate and integrate multiple model providers, balancing quality, latency, and cost with strong observability. * Define practical evaluation approaches to ensure high-quality releases. What you'll bring: * 8+ years building ML/AI or platform systems, including production experience with LLM/VLLM-backed features. * Strong software engineering skills in Python and TypeScript; experience with cloud services. * Proficiency in C++ is a big plus * Depth in agentic systems (planning, tool use, memory) and multimodal pipelines. * Passion for turning frontier AI into impactful products. If you thrive at the intersection of advanced AI and product engineering, and you want to shape how millions of creatives work every day, we'd love to hear from you. 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 $162,000 -- $301,200 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. 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 **************.

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. Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you'll get the freedom to work to bring together pinners and partners in this unique marketplace. What you'll do: Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest. 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. What we're looking for: MS or PhD degree in Computer Science, Statistics or related field, or equivalent experience. 6+ years of industry experience. 2+ years of experience leading projects/teams. Strong software engineering and mathematical skills with knowledge of statistical methods. Hands-on experience with large-scale online e-commerce systems is a plus. Background in computational advertising is preferred, but not required. 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. This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle. #LI-HYBRID #LI-SM4 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$208,145-$364,254 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.

**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.

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: The Data Collection AI/ML team builds intelligent systems that scale and improve PitchBook's data extraction, enrichment, and validation processes. The team applies advanced ML including classification, entity/relationship extraction, LLM-based parsing, OCR, and anomaly detection to ensure high accuracy, coverage, and timeliness of our proprietary datasets. The Staff MLE role is a force multiplier for the team, partnering with technical leadership to set best practices and design reusable ML architectures that support rapid innovation and operational excellence. As a Staff Machine Learning Engineer on the Data Collection AI/ML team, you will serve as the senior technical expert responsible for designing, architecting, and deploying advanced AI and machine learning systems that power PitchBook's data collection, extraction, and enrichment workflows. You will play a pivotal role in elevating the technical bar of the organization by setting engineering standards, driving architectural decisions, and supporting teams to build scalable, production-grade ML systems. Your work will focus on automating and enhancing PitchBook's ingestion and data quality pipelines across a wide variety of structured and unstructured sources, drawing from domain areas such as document understanding, OCR, natural language processing, entity resolution, multimodal modeling, retrieval systems, and LLM-driven extraction. You will collaborate closely with Engineering, Product, and Data Operations partners to translate business requirements into robust, high-impact AI solutions. This role is ideal for someone who thrives as a deeply technical IC and wants to push the boundaries of document AI and data extraction technology, shape long-term architectural direction, and materially influence the future of data automation at PitchBook. In addition to driving product impact, this role offers an opportunity to shape PitchBook's growing presence and technical reputation in the AI and ML space. We are looking for individuals who are active contributors to the broader AI community through peer-reviewed research, technical publications, or open-source initiatives. Candidates who have authored conference papers or patents and who are excited to explore the frontiers of generative AI, LLMs, and applied NLP will be well-positioned to help us both advance our internal capabilities and deepen trust with our customers through thought leadership Primary Job Responsibilities: Serve as the key technical leader shaping system design, ML architectures, model lifecycles, and scalable infrastructure for data extraction, document understanding, and structured data enrichment Architect reusable frameworks and services for LLM-powered extraction, entity recognition and resolution models, and multimodal document processing Partner with engineering leaders to ensure our systems meet the highest standards of reliability, performance, and cost efficiency Design and build state-of-the-art ML models using transformers, LLMs, generative models, graph-based approaches, and OCR/Document AI frameworks Identify opportunities to advance automation and accuracy across our ingestion stack, including entity linking, relationship inference, classification, and anomaly detection Translate emerging research into practical, production-ready capabilities Contribute to PitchBook's growing technical reputation through experimentation, publication, or open-source work Work closely with Product, Engineering, and Data Operations to ensure AI systems integrate smoothly into human-in-the-loop workflows and downstream pipelines Provide technical expertise during prioritization discussions, roadmap planning, and long-term strategic design Elevate engineering excellence through code reviews, design reviews, and technical guidance for ML engineers and scientists Act as a multiplier by shaping best practices for experimentation, model evaluation, responsible AI, and scalable ML engineering Guide teams across the organization toward cohesive, reusable, and standards-aligned architectures Own the lifecycle of mission-critical ML systems from data preparation to deployment, monitoring, and continuous improvement Ensure strong standards for model governance, explainability, and data integrity across the AI/ML stack. Partner with ML Ops and Platform Engineering teams, along with other partner engineering groups, to maintain high availability, reliability, and robustness for production ML systems Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Mathematics, Data Science, or a related technical discipline (Master's degree preferred) 8+ years of experience in machine learning, data science, or AI-focused engineering, with at least 4+ years of experience leading technical teams Proven success delivering AI-driven data extraction, enrichment, or document understanding systems at scale. Hands-on experience with parameter-efficient fine-tuning methods and expertise in document classification optimization preferred Deep expertise in natural language processing, document AI, OCR, entity resolution, and large-scale data automation Strong understanding of modern ML frameworks and infrastructure (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, MLFlow) Demonstrated ability to define and execute multi-year AI roadmaps with measurable business impact Strong knowledge of cloud-native architecture, distributed computing, and scalable model deployment Excellent communication, collaboration, and influencing skills including experience presenting to executive and cross-functional leadership A track record of fostering technical excellence and innovation across global, multidisciplinary teams Experience in fintech, data platforms, or large-scale information extraction systems preferred Contributions to the AI/ML research community (e.g., publications, patents, or open-source projects) are strongly preferred Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $260,000-$325,000 Target annual bonus percentage: 20% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI- #LI-Onsite

Job Description The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally. About the Role As a Principal Robotics Engineer at The Nuclear Company, you will lead the development and deployment of robotic systems for nuclear construction, inspection, and maintenance operations. This role combines expertise in robotics, automation, and control systems to enable remote operations in high-dose areas, automated construction tasks, and intelligent inspection systems for Nuclear OS. You'll work at the intersection of robotics technology and nuclear infrastructure, helping to transform how nuclear facilities are built, inspected, and maintained through advanced autonomous and remotely controlled systems Key Responsibilities Robotic System Development & Integration Design and develop robotic systems for remote and semi-remote operation, maintenance, and inspection in nuclear environments Develop remotely controlled mobile devices including mobile robots for maintenance, inspection, and construction support Implement construction robotics for cost-intensive on-site labor activities including welding, material handling, and automated assembly Design robotic systems for high-dose areas enabling remote operations in radiation fields and reducing worker exposure Remote Inspection & Maintenance Systems Develop remote inspection capabilities for piping, tanks, containment buildings, and other critical nuclear infrastructure Design remotely operated tooling for reactor vessel maintenance, O-ring groove cleaning, and equipment inspection Provide adequate space and provisions for robotic maintenance and inspection equipment in facility designs Support submersible robotics for underwater inspections and maintenance operations Automation & Control Systems Develop robotic network infrastructure including wireless control systems, spectrum management, and failsafe configurations Implement autonomous navigation systems with appropriate levels of autonomy and operator engagement Integrate computer vision and automated monitoring for robotic inspection and quality control Design failsafe systems ensuring safe operation if communications are lost, including controlled descent or return-to-home capabilities AI & Digital Integration Integrate robotics with Nuclear OS enabling AI-powered construction management and real-time progress tracking Support AR-enabled field operations providing robotic systems that work alongside workers with augmented reality tools Develop automated inspection systems using AI and computer vision to verify construction quality and detect deviations Safety & Compliance Ensure safe robotic operations near sensitive nuclear equipment with proper control protocols and administrative controls Evaluate wireless transmissions to avoid interference with station components and safety systems Design for radiation field operations enabling remote operations that reduce worker time in radiation fields Required Qualifications 10+ years of professional robotics engineering experience in industrial, construction, or inspection applications Bachelor's or Master's degree in Robotics Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or related field Expertise in robotic control systems including autonomous navigation, path planning, and sensor fusion Proficiency in robotics frameworks (ROS/ROS2) and programming languages (Python, C++) Experience with computer vision and machine learning for robotic perception Knowledge of wireless communication protocols and network security for robotic systems Understanding of industrial automation and control systems Experience with CAD software for robotic system design and integration Strong problem-solving skills and ability to design failsafe systems for safety-critical applications Preferred Qualifications Experience in nuclear industry or highly regulated critical infrastructure environments Knowledge of radiation-hardened systems and remote operations in high-dose areas Experience with submersible or underwater robotics Familiarity with construction automation and modular construction techniques Background in AI and machine learning for autonomous systems Experience with digital twin platforms and BIM integration Knowledge of AR/VR systems for robotic teleoperation Understanding of NRC regulations and nuclear quality standards Experience with Palantir Foundry or similar data integration platforms Advanced certifications in robotics or automation engineering Benefits Competitive compensation packages 401k with company match Medical, dental, vision plans Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $198,000-$228,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airlines (BCA), ETC (Electrical Technical Center) Electrical Design organization has a great opportunity for a Wiring Design Engineer (Experienced or Senior) in Everett, WA and Renton, WA to help us define the future of commercial aerospace with innovative ideas that advance or culture of safety and quality that our customers, the flying public, expect. Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Wiring Design Engineers. Position Responsibilities: Develop and maintain electrical wire harness detail, assembly and installation designs for our diverse portfolio of advanced Commercial Aircraft. Our greatest current need involves developing, integrating and maintaining critical electrical cable/wire harness detail, assembly and installation designs. This includes integrating the functional system requirements into an efficient logical and physical wire harness architecture throughout the airplane. You must take into account such requirements as proper materials and parts selection based on electrical and environmental properties, functional separation based on systems safety and failure analysis, and efficient build processes. All while ensuring that Safety and Quality are the number 1 priority. Develop and analyze engineering design disposition on discrepancies (e.g., rejection tags, production action requests and shop revision requests). This often involves working closely and collaborating with our partners on the factory floor to ensure our designs can be built efficiently and safely. Follow and look for improvements to documented processes, specifications and procedures that support safe and quality design and manufacture of electrical commodities. Develop basic statements of work. Also, participate in technical reviews of supplier capabilities to facilitate source selection. Analyze functional and physical requirements to assure the development of integrated designs and system architecture. Actively supporting critical analysis and design reviews. Work with and under general supervision of a lead engineer and an expert mentor to enhance both your technical learning and career growth. Work Authorization: The position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. § 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 3+ years of experience with wire harness, electrical and/or mechanical design. Preferred Qualifications (Desired Skills/Experience): 5+ years of related work experience or an equivalent combination of education and experience. 3+ years of experience using wire design tools such as WIRS, MAPPER, CADDS and/or Capital Logic. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Experienced (Level 3): $104,550 - $141,450 Senior (Level 4): $128,350 - $173,650 Additional Information: Formal training is available as part of the job. All information provided will be checked and may be verified. Applications for this position will be accepted until Dec. 15, 2025 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

About the team The ads system at TikTok USDS operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc. We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: * Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems. * Provide technical leadership and guidance to team members and project peers. * Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts. * Lead the innovation efforts, and bring in new ideas and technologies.Minimum Qualification(s): * Bachelor's degree in computer science or related technical disciplines. * 3+ years of hands-on experience with building and training complex and scalable machine learning systems. * Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills. * Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning. * Experience in managing projects. Preferred Qualification(s): * Experience in Ads domain. * Experience with building large-scale ranking models, recommendation system.

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

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. 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 **************.