1,480 Results for

Machine Learning Jobs in Eastgate, WA

Jobs

New!

Seattle, WA4 days ago

$82,000–$145,000 Per Year
Temporary
Contractor
Full-time

They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives. Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more.

New!

Seattle, WA4 days ago

$140,000–$170,000 Per Year

We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.

Seattle, WA30+ days ago

Full-time
Employee

and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs.

Seattle, WA22 days ago

$170,000–$240,000 Per Year
Full-time
Employee

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.

Seattle, WA30+ days ago

Full-time
Employee

You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users.

Seattle, WA30+ days ago

Full-time
Employee

You will partner with a team of expert applied researchers who specialize in various domains, including document understanding, natural language processing (NLP), computer vision, and more to prototype and productionize solutions for real business use-cases at scale. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Seattle, WA30+ days ago

$125,000–$180,000 Per Year
Full-time
Employee

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.

Seattle, WA30+ days ago

Full-time
Employee

Seattle, WA30+ days ago

Full-time
Employee

What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.

Seattle, WA30+ days ago

Full-time
Employee

What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.

Bellevue, WA16 days ago

Remote

$82,000–$141,000 Per Year
Full-time
Employee

SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

Seattle, WA30+ days ago

Remote

Full-time
Employee

What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.

Seattle, WA22 days ago

Remote

Full-time
Employee

4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning). With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love.

Seattle, WA7 days ago

$45,760–$65,520 Per Year

Since 2010 , SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte , and more—often with offers between $90,000 and $154,000 depending on role and expertise. SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer , Java full stack engineer , Python/Java developer , DevOps/cloud engineer , plus data-track roles like data analyst , BI analyst , data engineer , data scientist , and ML/AI engineer .

Seattle, WA10 days ago

$78,000–$127,000 Per Year

Seattle, WA22 days ago

Full-time
Employee

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. 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.

Seattle, WA22 days ago

Full-time
Employee

Lead the design and implementation of identity and conversion signal models (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces. Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders.

Seattle, WA10 days ago

$52–$59

They will have passion for data and analytics, be self-starter comfortable with ambiguity, with strong attention to detail, ability to work in a fast-paced and entrepreneurial environment and driven by a desire to innovate on behalf of our customers. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.

Times Square, WA30+ days ago

Full-time
Employee

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. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Seattle, WA30+ days ago

Full-time
Employee

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.

Seattle, WA19 days ago

Remote

$78,000–$136,000 Per Year
Temporary
Contractor
Full-time

SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps.

Seattle, WA30+ days ago

Full-time
Employee

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.

Seattle, WA14 days ago

Full-time
Employee

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers.

Seattle, WA30+ days ago

Full-time
Employee

Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In this high-impact role, you will lead engineering efforts collaborating closely with Research and product teams to deliver scalable, high-performance GenAI systems powering flagship features in Photoshop, Lightroom, Firefly, and our GenAI Enterprise offerings.

New!

Clyde Hill, WA2 days ago

$264,000–$379,500 Per Year
Full-time
Employee

Search Domain Expertise: Deep, hands-on experience with search technologies (e.g., Lucene/Elasticsearch/OpenSearch, vector databases) and a proven track record of improving search relevance and ranking at scale. The Snowscope team is at the heart of this mission, building and maintaining the internal search system that powers discovery across diverse corpuses, including the Catalog, Marketplace, Documentation, Workspaces, Notebooks, and more.

Bellevue, WA30+ days ago

Full-time
Employee

The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capabilities, focusing on the design, development, and deployment of large language models (LLMs) and generative AI solutions. Collaborating with cross-functional technical teams, they ensure the seamless integration of LLM-powered solutions into products and workflows, reinforcing the organization's leadership in applying advanced AI technologies.

Seattle, WA22 days ago

Intern
Full-time

You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.

Bellevue, WA23 days ago

$236,000–$339,200 Per Year
Full-time
Employee

As a Staff MLE/AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient,repeatable, auditable, and shippable. Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.

Seattle, WA22 days ago

$240,000–$300,000 Per Year
Full-time
Employee

Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow. Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives.

Seattle, WA22 days ago

Intern
Full-time

Seattle, WA9 days ago

Full-time
Employee

Experience must include 1 year of experience with each of the following: Analyzing product and marketing performance to generate actionable insights, improve efficiencies, and guide strategic business decisions; building and maintaining automated dashboards and analytical tools that support real-time monitoring and cross-functional decision making; collaborating with marketing, product, and engineering teams on product design, sizing, and prioritization to optimize resource allocation and decision making; conducting A/B and multivariate experiments to evaluate product and marketing effectiveness and inform strategy; conducting customer experience analysis to improve acquisition, engagement, and retention; developing forecasting models to guide budget planning and financial outlook; leveraging methodologies and analytical techniques including cohort analysis, data visualization, funnel analysis, market research, product KPI development, risk mitigation, segmentation, and user behavior analysis; and working with Databricks, Excel, Power BI, Python, R, Snowflake, SQL, and Tableau. Position requires a Master’s degree in Marketing, Business Analytics, Statistics, or a related quantitative field, and 2 years of experience with applying predictive analytics and modeling techniques in the financial services industry to optimize marketing performance and enhance customer experience.

SEATTLE, WA30+ days ago

Full-time
Employee

Solidify and scale the Leapfrog Data Science and Engineering Culture and Practice: * Lead definition and implementation of data, data science, and machine learning competency definitions at every level, and align with recruiting initiatives. * Work with other engineering leadership,a nd under the guidance of the Senior Vice President Engineering to hire, train, and deploy data engineers, machine learning engineers and data.

Seattle, WA14 days ago

Full-time
Employee

We are building a self-healing ecosystem where Multi-Agent Systems and Reinforcement Learning (RL) loops work in tandem with Large Language Models (LLMs) to not only detect incidents in real-time but to troubleshoot and resolve them autonomously. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Seattle, WA15 days ago

$186,000–$201,000 Per Year
Full-time
Employee

Duties include: design, develop, and deploy large-scale machine learning systems; architect and develop end-to-end machine learning systems using innovative architectures; develop and implement scalable, GPU-optimized modeling algorithms capable of handling large-scale data in production environments; build and maintain high-performance, scalable, and maintainable platform features throughout the complete ML pipeline; partner with architects, product management, and engineering teams to translate product requirements into innovative technical solutions; design and develop runtimes and libraries for emerging ML technologies, ensuring we remain at the forefront of the field; and contribute to the creation of detailed requirements and design documents for features across the technology stack. Position requires: (1) Machine Learning; (2) Statistics; (3) Data Science; (4) Computer Science; (5) PyTorch; (6) AWS; (7) Python; (8) Scikit-learn; (9) Hugging Face; (10) NLP; (11) Computer Vision; and, (12) Large Language Models.

Seattle, WA16 days ago

Remote

Temporary
Contractor
Full-time

Linux, Unix, Windows, Agile SDLC, Application Architecture Disciplines, Infrastructure Architecture Disciplines, Apache Kafka, Docker, Jenkins, NodeJS, Spring, C++, CSS, Hibernate, HTML, JQuery, Selenium, Shell Scripting, SQL, Typescript, XML, Angular, Apache Tomcat, Bootstrap, REST, WebSphere, Maven, Swift, JSON, Kubernetes, Apache Zookeepter, AWS Cloud Services, Dynatrace, Hadoop, Hive, Splunk, Apache Subversion, GIT, Cucumber, Junit, Automated Testing, Blackbox Testing, Functional Testing, Manual Testing, Performance Testing, Regression Testing, Smoke Testing, System Integration Testing, Unit Testing, and User Acceptance Testing. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies.

Seattle, WA30+ days ago

Full-time
Employee

We excel in custom broadband telecommunication economics work and the creation of niche datasets and applications that enable companies and regulators to make effective, informed decisions, and allocate their capital more efficiently. Our team utilizes GIS (Geographic Information System) solutions to design, develop, and implement economic models, applications, and geographic data to support the broadband telecommunications ecosystem.

New!

Seattle, WA6 days ago

$164,350–$260,000 Per Year

The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Seattle, WA30+ days ago

Full-time

Seattle, WA30+ days ago

$128,250–$195,000 Per Year

Seattle, WA23 days ago

Preferred Qualifications** + MS or Phd in Machine Learning, Natural Language Processing, Computer Vision or related areas strongly preferred + Experience in ML frameworks for training, fine-tuning, and deploying ML/generative models at scale + Proven track record of building large scale, enterprise-grade ML/Gen-AI products in cloud environments (AWS, GCP , Azure) or on-prem infrastructure **Minimum Qualifications** + Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience + 2+ years of hands-on experience in applied AI/machine learning work in industry or 4+ years of hands on AI research and development experience in academia + Demonstrated expertise in generative AI, computer vision, natural language processing, or general machine learning with a passion for problem solving.

New!

Bellevue, WA2 days ago

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence.

Seattle, WA9 days ago

The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation.

Seattle, WA30+ days ago

The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. YOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING: Designing self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification.

Redmond, WA14 days ago

$100,600–$199,000 Per Year

Preferred Qualifications:** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) + OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. **Qualifications** **Required Qualifications:** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) + OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field + OR equivalent experience.

Seattle, WA30+ days ago

Minimum Qualifications** + MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field + 7+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining + 5+ years of experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs + Experience being a tech lead, and has been successfully leading a team to ship software to users + Excellent knowledge and good practical skills in designing ML platforms, architectures or algorithms + Strong interpersonal skills able to work independently as well as in a team **Preferred Qualifications** + Has iOS / MacOS development experience + Experience with optimizing performance on resource constrained devices + Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

Seattle, WA30+ days ago

Remote

Work with Pacvue's Data, ML and AI team to support the development and experimentation of machine learning models that improve campaign optimization, forecasting, or decision automation. Collaborate with data scientists, ML engineers, and product managers to explore large-scale retail media datasets and identify patterns that can inform product capabilities.

New!

Redmond, WA2 days ago

$163,000–$296,400 Per Year

Qualifications** **Required Qualifications:** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) + OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. **Preferred Qualifications:** + Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience.

Seattle, WA30+ days ago

In this role, you will focus on designing and scaling high-performance data processing pipelines, ensuring data quality, performing in-depth failure analysis on production models, and implementing advanced data augmentation techniques to boost model performance. With roots in ML, computer vision, and energy efficiency research, our team is strategically positioned to contribute to diverse initiatives ranging from shipping features in well-known Apple products to ambitious, long-term research projects.

Seattle, WA30+ days ago

$194,040–$206,168 Per Year

Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker. Using cutting-edge machine learning approaches, including deep sequence models, embeddings and multi-modal technologies, we aim to deliver a personalized and compelling experience for over 22 million active customers.

Seattle, WA15 days ago

Minimum Qualifications** + Demonstrated experience in helping delivering end-user facing ML driven products + In-depth development experience with C/C++ or similar languages + Knowledge and experience with machine learning techniques, including deep learning frameworks such as PyTorch, TensorFlow or Jax + Passionate about creating extraordinary products built on machine learning and AI **Preferred Qualifications** + MS or PhD or equivalent experience with a machine learning (engineering) focus + Scientific publication(s) in a relevant machine learning field + Deployment and development of real-world, large-scale, user-facing MT or LLM systems. **Role Number:** 200618506-3337 **Summary** We are seeking an experienced machine learning engineer to help bring the next generation of core machine translation (MT) technology and large language model (LLM) technologies into the hands of users all over the globe.

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Machine Learning Jobs in Eastgate, WA

Jobs

Junior AI & Machine Learning Engineer/Java/MERN DeveloperSynergisticIT

Solutions Architect - (Data Engineering)Jobot

Applied Machine Learning Scientist II (AI/ML)Blue Origin LLC

Sr. Machine Learning EngineerPitchBook Data

Staff Machine Learning Engineer, MonetizationPinterest, Inc.

Machine Learning EngineerFlightSafety International Inc

Machine Learning EngineerPitchBook Data

Sr. Machine Learning Scientist, GenAI/R&DBlue Origin LLC

Machine Learning Engineer, Monetization EngineeringPinterest, Inc.

Sr. Machine Learning Engineer, Monetization EngineeringPinterest, Inc.

Junior Software Developer /Data Scientist/Engineer - Junior (Remote)SynergisticIT

Machine Learning Engineer, Core EngineeringPinterest, Inc.

Sr. Machine Learning Engineer, Core EngineeringPinterest, Inc.

Entry Level Data Scientist/ML/AI Engineer/Java full stack developerSynergistic it

Entry Level Data Scientist/Analyst/Java full stack developerSynergistic it

Principal Machine Learning Engineer, Ads DeliveryPinterest, Inc.

Staff Machine Learning Engineer, Conversion VisibilityPinterest, Inc.

Software Develoopment Engineer IIKforce Inc.

Staff Machine Learning Engineer, Ads Late FunnelPinterest, Inc.

2026 University Graduate - Machine Learning EngineerAdobe Inc.

Data Scientist/Engineer - Junior (Remote)/Software programmer AISynergisticIT

Sr. Machine Learning Engineer, Adobe Firefly ServicesAdobe Inc.

Machine Learning Engineer, Firefly ServicesAdobe Inc.

Staff Machine Learning EngineerAdobe Inc.

Principal Machine Learning Engineer- Search QualitySnowflake Inc.

Sr Engineer, Machine Learning EngineeringT-Mobile USA, Inc

PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender SystPinterest, Inc.

Staff Machine Learning Engineer - Cortex Code QualitySnowflake Inc.

Engineering Manager, Machine Learning OperationsPitchBook Data

Master's Fall Machine Learning Internship (ATG - Visual Search)Pinterest, Inc.

Senior Product Marketing AnalystRemitly, Inc.

Principal Engineer, Data Science & Machine LearningLeapfrog Technology, Inc

Senior Machine Learning EngineerFlightSafety International Inc

Machine Learning Engineer (multiple openings)ADOBE SYSTEMS INC

Sr. Full Stack Engineer (70% backend, 30% front-end)The AES Group

Machine Learning/AI AssociateCostQuest Associates, LLC

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine LearningJPMorgan Chase

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of ExcellenceJPMorgan Chase Bank, N.A.

Machine Learning Scientist - NLP - Sr. Associate - Machine Learning Center of ExcellenceJPMorgan Chase

Machine Learning Engineer, (Applied Machine Learning), AI & Data Platforms (AiDP)Apple

Machine Learning Scientist - GenAI, KITAmazon

AIML - Sr Machine Learning Engineer, Data and ML InnovationApple

AIML - Sr Machine Learning Engineer - Data and ML InnovationApple

Machine Learning Scientist IIMicrosoft Corporation

AIML - Machine Learning Engineer, Visual Intelligence TechnologyApple

Machine Learning Product Summer InternPacvue

Manager- Applied Sciences / Machine LearningMicrosoft Corporation

AIML - Machine Learning Engineer - Computer Vision & Audio, MINDApple

Machine Learning Scientist III - SearchWayfair

AI/ML - Machine Learning Research Engineer, Machine TranslationApple

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