Machining engineer jobs in Seattle, 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.

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

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.

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

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

- 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.

*CHIEF ENGINEER* * $668.32/Day plus Overtime and Cargo Time * 52 day rotation in on a Z Drive tractor tug in Dutch Harbor, Alaska - travel paid from Seattle to Dutch * Cadillac Health Benefits - 100% premiums paid *Chief Engineer Benefits:* * IBU Wages and Benefits * Health Insurance * Retirement Savings Program * Employee Assistance Program * ATO (Accumulated Time Off) *Chief Engineer Qualifications:* * Valid MMC * Valid USCG Medical Certificate (with valid STCW date) * Valid Transportation Identification Credential (TWIC) * State Driver's License * Minimum two (2) years experience sailing as Engineer * EMD experience, a plus *Chief Engineer Job Summary:* The Engineer is directly responsible to the vessel Master for proper operation and maintenance of all mechanical equipment on the vessel and its tow. The Engineer is accountable for all engine room tools and equipment. For more information or to view other opportunities with Dunlap, please visit ******************** _Dunlap Towing Company is an Equal Opportunity Employer and does not unlawfully discriminate on the basis of race, color, religion, national origin, age, gender, marital status, disability, veteran status or any other factor not related to job performance or job requirement._ _Dunlap Towing is a Drug Free Workplace. Drug testing is a condition of employment._ Job Type: Full-time Pay: $100,000.00 - $130,000.00 per year Benefits: * 401(k) * Dental insurance * Employee assistance program * Health insurance * Paid time off * Retirement plan * Vision insurance Application Question(s): * What type of engines have you worked on in your career? Experience: * Maritime Vessel Chief Engineer: 2 years (Preferred) * Tugboat Engineer: 1 year (Preferred) * EMD: 1 year (Preferred) License/Certification: * TWIC Card (Required) * Merchant Mariner Credential (Required) * Designated Duty Engineer(DDE) (Preferred) Work Location: On the road

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 *******************

About the team The TikTok USDS Shop Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance shop ads-both open-loop and closed-loop-to establish TikTok US as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation shop ad solutions for the platform. 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: * Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ad ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. * Explore, develop and experiment with new features to improve model accuracy. * Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. * Collaborate with Global counterpart, Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.Minimum Qualifications: * Highly self-motivated to drive business growth and foster technical advancement. * Proficient in using SQL and Python and experience with data manipulation * Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets. * Solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization. * Strong analytical and problem-solving skills, with a demonstrated ability to handle and derive insights from complex and unstructured datasets. Preferred Qualifications: * Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field. * 5+ years experience as a Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred * Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms or related fields is preferred. * Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.

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

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.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo has successfully deployed self-driving cars in real-world environments; now, our imperative is to scale this capability. Scale is driven by large models and data, and we are moving to ever-larger models which generalize by being trained on more data. To achieve this, we're focused on optimizing model inference and training, ensuring these advancements gracefully generalize across multiple platforms. In this role, you'll work embedded in an ML Engineering and Modeling team, working hand-in-hand to drive scale and multi-platform support of models. This role requires to follow the latest developments in efficient ML and bring those innovations to Waymo's production systems. In this hybrid role, you'll report to a Technical Lead Manager. You will: Optimize neural model architectures and systems for high performance on multiple GPU and TPU platforms (e.g., onboard vs simulation platform) Optimize neural model performance and overall system performance for systems with hard real-time constraints (Waymo's onboard system) Develop post-training algorithms (e.g., quantization), low-level optimizations (e.g., kernel optimization), etc. for improving inference speed and reducing inference memory consumption on modern GPU and TPU architectures Develop new neural model architectures (e.g., sparse architectures), decoding strategies (e.g., speculative decoding), etc. for improving inference performance on modern GPU and TPU architectures Optimize model training speed and efficiency for large models (often memory bound) and for fine-tuning (often i/o bound) Collaborate with ML infra teams (inference frameworks, training frameworks), Onboard hardware and Simulation teams, and Alphabet's research teams You have: Master's degree or PhD in Computer Science, Engineering, or a related technical field 3+ years of experience in software development for neural model inference or neural model training, and 1+ years experience with neural model inference and training optimization on modern GPU/TPU architectures 5+ years experience in software development for real-time systems, ideally experience with real-time systems running on device (e.g., Waymo's onboard system) Proficiency in C++, Python, and modern deep learning toolkits like PyTorch or JAX Passionate about low-level neural net optimization and willingness to learn new architectures and tools Deep understanding of latency and quality tradeoffs as it applies to neural network architectures and practical experience making said tradeoffs We prefer: Experience in ML-driven production systems that develops models with large-scale data, training, evaluation, and deployment Experience with developing and optimizing large-scale vision, video, or multi-modal foundation models Familiarity with end-to-end models and their development challenges Agility in a fast-paced environment The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$238,000-$302,000 USD

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

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.

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

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

We're a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work-and have a lot of fun while they're at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You'll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Job Description Logic20/20 is seeking a Lead Machine Learning Engineer to lead and support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through application of machine learning models. What you'll do: Lead conceptual designs and create frameworks to predict a variety of outcomes in different scenarios Build, deploy, and optimize machine learning models Collaborate with other data scientists and stakeholders on projects Develop solutions in R or Python Develop production-grade solutions Work in Hadoop, Redshift, and Spark Translate business and product questions into analytics projects Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights About the team The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. "We build an environment where we really operate as one team, building up each other's careers and capabilities." - Adam Cornille, Senior Director, Advanced Analytics Qualifications Required: 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment Experience building, deploying, and optimizing machine learning models Strong experience with AWS: AWS Glue, Sagemaker Strong experience with Terraform Strong CI/CD experience Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing and deployment Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc. Knowledge of statistics and Machine Learning techniques Experience with GitHub Experience building data pipelines Preferred: Master's degree/PhD in computer science or related field Ability to build enterprise templates Ability to model dashboards Ability to monitor models in production Azure DevOps Ability to implement best practices Additional Information At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $150,000 - 180,000. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees-and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at ********************************************* Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: ************************************************************ Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.

Please complete the attached Internal Transfer Request Form and submit. Please make sure to apply with your Coupang e-mail address. We exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billiondollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what's possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview Ads Growth team is dedicated to enhancing the advertiser experience through cutting-edge advertising recommendations, encompassing GMV forecasting, budget allocation, ROAS optimization, and beyond. Our goal is to empower advertisers with the most intelligent and insightful recommendations, ensuring maximum impact and effectiveness in their campaigns. As our Staff Machine Learning Engineer for Ads Growth , you will be responsible for designing and developing machine learning models, and performing data analyses to support Coupang's fast business growth. You will need to drive the projects from end to end, communicate with stake holders, collaborate with other roles in the team, and provide ad hoc supports for our business partners. What You Will Do Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning and vector search Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence Define and track key performance metrics to evaluate model impact and identify highleverage opportunities for improvement Collaborate cross-functionally with product, engineering and data science teams to align technical solutions with business goals and customer experience Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 4 years of professional experience in applied machine learning Experience in machine learning, deep learning, and statistical modeling Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications Master's or PhD in relevant technical fields Experience with search systems, information retrieval or recommendation engines Experience with LLMs, embeddings, and vector search technologies Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working in startup or high-growth environments Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders Demonstrated ability to work independently and manage ambiguity in fast-paced environments General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Paid Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. Job Requisition ID: R0060117 Please complete the attached Internal Transfer Request Form and submit. Please make sure to apply with your Coupang e-mail address.