2,651 Results for

Machine Learning Jobs in Lake City, WA

Jobs

Seattle,, Washington30+ days ago

Remote

$80–$85 Per Hour
Contractor

li class="MsoNoSpacing" style="margin:0in">Critical objectives within the team are related to each and every service: high uptime/zero downtime (availability), efficiently scaled (up to 1000 requests per second) and performance (sub-second latency) for our customers. Job Description:

The MLPT Polymer group supports a range of Machine Learning platform products including: Bolt, Hub, Lightning and many Data Platform systems.

New!

Bellevue, WA3 days ago

$80,000–$173,800 Per Year
Full-time

p>Bachelor’s degree (or foreign equivalent) in Engineering, Computer, Electronics, Electrical, Information Technology or related with 5 Years of experience in IT industry*. Master's degree (or foreign equivalent) in Engineering, Computer, Electronics, Electrical, Information Technology or related with 3 Years of experience in the IT industry*.

Redmond, WA30+ days ago

$79,000–$136,000 Per Year
Full-time
Employee

p>If you’re tired of failing interviews and want a structured plan to convert interviews into offers, start here:

Seattle, WA7 days ago

$135,500–$203,300

p style="background-color:rgb( 255 , 255 , 255 );color:rgb( 51 , 51 , 51 )">Attention Internal Applicants:To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures.

Seattle, WA27 days ago

Full-time
Employee

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). Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas.

Seattle, WA27 days ago

Full-time
Employee

Bellevue, WA25 days ago

$161,138–$200,000 Per Year
Full-time
Employee

Seattle, WA30+ 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, WA30+ 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, WA26 days ago

Full-time
Employee

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). You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization.

Seattle, 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. 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, WA30+ 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, WA30+ days ago

Full-time
Employee

Proven Staff-level technical leadership as a hands-on IC, including setting technical direction, driving multi-quarter roadmaps, and aligning senior stakeholders across Product, Engineering, Data Science, Infra, and partner teams. Lead the design, implementation, and productionization of ML-powered components for ads measurement products, including areas such as measurement methodologies, diagnostics, anomaly detection, automated insight generation, and advertiser decision-support.

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.

Clyde Hill, WA30+ 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.

Seattle, WA30+ days ago

Full-time
Employee

We're looking for a Staff ML engineer to develop core bidding and ranking systems that help us optimally buy and sell inventory across exchanges, driving strong ROI for advertisers and growing a critical revenue stream for Pinterest. This role will need to be in the office for in-person collaboration3 times per quarterand therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Seattle, WA27 days ago

Remote

Full-time
Employee

We are looking for a Staff MLE to lead the technical vision for our Ads Advanced Conversion Modeling team, building the state-of-the-art systems that power our global marketplace. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

Redmond, WA30+ days ago

$65–$70 Per Hour

The ideal candidate will have strong experience in data and analytics architecture, scalable data modeling, and end-to-end data flow design and a proven ability to deliver governed, performant data solutions that enable monetization, product decision-making, and AI/ML use cases. * Disqualifiers: Repetitive, overly long, or generic or keyword heavy resumes that lack context on impact or outcomes (ex, just listing tools/tech without explaining business value) will likely be disqualified.

Redmond, WA30+ days ago

$65–$70 Per Hour

The ideal candidate will have strong experience in building data pipelines, designing scalable data models, and developing data-serving APIs on cloud platforms and a proven ability to deliver analytics and data products that enable measurable business outcomes across creator programs, product, and marketing. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Bellevue, WA30+ 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, WA30+ 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, WA30+ days ago

Full-time
Employee

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. 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.

Seattle, WA30+ days ago

Intern
Full-time

Seattle, WA30+ 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, WA30+ 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).

WA30+ days ago

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

$164,350–$260,000 Per Year

WA30+ days ago

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. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges.

Seattle, WA30+ days ago

Full-time

Seattle, WA30+ days ago

Remote

As a Senior Machine Learning Engineer for the Applied Machine Learning Team, you'll breathe life into our research by transforming prototypes into high-performance production systems, building the automated MLOps pipelines and real-time optimizations that keep our models running at scale. We have real estate data at a national level and work across various domains in machine learning using large-scale multi-modal property data (documents, images, text, video, 3D scans etc.).

Seattle, WA20 days ago

$180,200–$270,200 Per Year

ul>

7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation.

5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation.

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.

Bellevue, WA30 days ago

Full-time
Employee

In this role, you will design and manage a scalable, reliable ecosystem across our recruiting technology stack and Learning Management System (LMS), ensuring seamless workflows, high-quality data, and strong system performance globally. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process.

Seattle, WA27 days ago

Strong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models' safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability. **Minimum Qualifications** + 8+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models + Proven record of consistent delivery of technology/products across the full Machine Learning life cycle + MS or Ph.

Bellevue, WA30+ 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, 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, Washington30+ days ago

There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings.

As one of our AI ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

Seattle, WA30+ days ago

Minimum Qualifications** + MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies. As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can.

Seattle, WA30+ days ago

Kirkland, WA30+ days ago

$175,000–$215,000 Per Year

We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to: • develop methods for efficiently and continuously learning from large scale real-world data, • develop models and model training at scale, • analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, • optimize models for our onboard and offboard hardware. You have: • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience • 3+ years experience in Machine Learning and/or Computer Vision • Experience with Python and familiarity with C++ • Experience with ML frameworks like PyTorch, JAX, or Tensorflow.

Kirkland, WA30+ days ago

$118,700–$154,100 Per Year

p>General Information Locations: Kirkland, Washington, United States of America Location: Kirkland Country: United States of America Role ID: 212201 Worker Type: Regular Employee Studio/Department: CT - Security Work Model: Hybrid. This role focuses on building and operating production-grade data and machine learning infrastructure that enables data scientists and analysts to deliver fraud detection, anti-cheat, and account security solutions across EA games.

Seattle, WA30+ days ago

$137,500–$192,500 Per Year

We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide. Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.

Seattle, Washington30+ days ago

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment: Ad Platforms

Job Posting Primary Business: AP - Software Engineering

Primary Job Posting Category: Machine Learning

Employment Type: Full time

Primary City, State, Region, Postal Code: Seattle, WA, USA

Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway

Date Posted: 2026-02-05

Job Posting Title: Lead Machine Learning Engineer, Ads Research

Req ID: 10142044

Job Description:

Technology is at the heart of Disney’s past, present, and future.

Seattle, WA30+ days ago

$141,900–$190,300 Per Year

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 generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. 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.

Seattle, WA13 days ago

$167,500–$220,000 Per Year

li>2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.

New!

Seattle, WA6 days ago

$208,000–$298,500 Per Year

li>Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning.

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love.

New!

Seattle, WA1 day ago

$211,680–$272,160 Per Year

You will also be responsible for maintaining and enhancing existing machine learning systems through feature development, retraining strategies, and robust monitoring frameworks, including metrics, alerts, and dashboards that ensure model performance, reliability, and long-term health. You will leverage Plaid’s unique datasets to identify high-impact opportunities for machine learning, develop proofs of concept to validate new approaches, and build MVP solutions that demonstrate customer value.

Seattle, WA30+ days ago

Use deep learning and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers Key job responsibilities Amazon Science gives insight into the company's approach to customer-obsessed scientific innovation. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems.

Seattle, WA20 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.

WA30+ days ago

Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.

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Machine Learning Jobs in Lake City, WA

DevOps Engineer III Pinnacle Technical Resources

Solution Architect Wipro Connected Services Inc

Junior Data Scientist/data Analyst/Java full stack developer SynergisticIT

Senior AI Architect Weyerhaeuser

Sr. Machine Learning Engineer, Monetization Engineering Pinterest, Inc.

Machine Learning Engineer, Monetization Engineering Pinterest, Inc.

Machine Learning Engineer Robinhood Markets, Inc.

Sr. Machine Learning Engineer, Core Engineering Pinterest, Inc.

Sr. Machine Learning Engineer PitchBook Data

Machine Learning Engineer FlightSafety International Inc

Principal Machine Learning Engineer, Ads Delivery Pinterest, Inc.

Staff Machine Learning Engineer, Conversion Visibility Pinterest, Inc.

Staff Machine Learning Engineer, Ads Measurement Products Pinterest, Inc.

Machine Learning Engineer, Firefly Services Adobe Inc.

Principal Machine Learning Engineer- Search Quality Snowflake Inc.

Staff Machine Learning Engineer, Programmatic Ads Pinterest, Inc.

Staff Machine Learning Engineer, Ads Conversion Pinterest, Inc.

AI Solutions Architect 2 BC Forward

AI Data Engineer 3 BC Forward

Staff Machine Learning Engineer - Cortex Code Quality Snowflake Inc.

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

Sr Engineer, Machine Learning Engineering T-Mobile USA, Inc

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

Engineering Manager, Machine Learning Operations PitchBook Data

Senior Machine Learning Engineer FlightSafety International Inc

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase & Co

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

Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence JPMorgan Chase & Co

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

Remote Senior Applied Machine Learning Engineer - Applied Machine Learning Team Rocket Companies Inc

Senior Machine Learning Engineer/Machine Learning Engineer III Workday Inc

AIML - Machine Learning Engineer, Visual Intelligence Technology Apple

People Technology Manager - Recruiting Tech & Learning Platforms OKTA

Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms Apple

Machine Learning Scientist - GenAI, KIT Amazon

AIML - Machine Learning Engineer - Computer Vision & Audio, MIND Apple

AI Staff Machine Learning Engineer, General AI, ML & Big Data C-Serv

Sr. Computer Vision and Machine Learning Engineer, Creativity Apps Apple

Sr. Computer Vision and Machine Learning Engineer, Creator Studio Apple

Machine Learning Engineer, Geometry Team Waymo LLC

Machine Learning Engineer III Electronic Arts Inc

Machine Learning Scientist III Expedia Group Inc

Lead Machine Learning Engineer, Ads Research The Walt Disney Company

Sr Machine Learning Engineer The Walt Disney Co

Machine Learning Engineer II Qualtrics International Inc (Inactive)

Staff Machine Learning Engineer, Foundation - Seattle Qualtrics International Inc (Inactive)

Machine Learning Engineer - Embedded Insights Plaid

Applied Scientist, Brand Protection Machine Learning Amazon

AIML - Sr Machine Learning Engineer - Data and ML Innovation Apple

PhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender Systems Pinterest Inc

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