1,784 Results for

Machine Learning Jobs in Broadway, WA

Jobs

Seattle, WA19 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, WA1 day ago

We use data across the sustainability imperatives (carbon, water, waste, biodiversity, environmental risk and more) and these skills and capabilities to identify, develop, experiment, and scale the scientific solutions and innovations necessary for Amazon, customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals. - Developing and optimizing robust data pipelines for internal data from sources such as Product Lifecycle Management tools, Product Details (images, text, and structured data), Inventory Management Platforms, and financial systems.

New!

Seattle, WA1 day ago

Deliver net-new production AI models by EOY 2026 aligned to WWOS SPS goals: reduce theft/fraud loss from 0.30% to 0.19% of GMS and transform incident preparedness from reactive to proactive. - Lead Science & BI pillar within WWOS Tech: grow Science team over next 18 months, manage 3 BIE managers overseeing BIEs across EESN, Ops Disruption, and Business Reporting teams.

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.

New!

Bellevue, WA1 day ago

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. - Strong publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL) OR Demonstrated experience in applying machine learning innovation in industry.

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

$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, WA7 days ago

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges.

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, 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, WA11 days ago

$78,000–$127,000 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,, Washington11 days ago

Remote

$80–$85 Per Hour
Contractor

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. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

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, WA8 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, WA8 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, 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.

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.

New!

Redmond, WA6 days ago

$79,000–$136,000 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, WA29 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.

Clyde Hill, WA17 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, WA14 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.

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.

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, WA29 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, WA30 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, WA30+ days ago

Full-time

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, WA21 days ago

$164,350–$260,000 Per Year

Seattle, WA30+ 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!

Seattle, WA4 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

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, WA29 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, WA24 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.

New!

Bellevue, WA3 days ago

$229,000–$343,000 Per Year

The Company's three core products are Snapchat (https://www.snapchat.com/) , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio) , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (https://www.spectacles.com/) . **Snap News (https://newsroom.snap.com/)** **:** Stay up to date on the latest and greatest product and innovation news at Snap Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant\_and\_Candidate\_Privacy\_Policy.pdf)

Seattle, WA11 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.

Bellevue, WA17 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.

Redmond, WA11 days ago

$163,000–$296,400 Per Year

Bachelors 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 Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). Masters 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).

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.

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. Usingcutting-edge machine learning approaches, including deep sequence models,embeddings and multi-modal technologies, we aim to deliver a personalized andcompelling experience for over 22 million active customers.

Seattle, WA30+ days ago

$150,750–$241,200 Per Year

As an Applied Machine Learning Scientist/Engineer focused on Sensor Fusion & Tracking, you will research, design, and validate advanced estimation and probabilistic models that power Dedrone's real-time airspace awareness systems. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors.

Redmond, WA30+ days ago

$139,900–$274,800 Per Year

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. **Qualifications** **Required Qualifications** + Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python + OR equivalent experience.

New!

Seattle, WA4 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, WA30+ 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.

Seattle, WA30+ days ago

Comscore, Total Visits, March 2025) **Day to Day** The Machine Learning Engineer I role partners closely with business partners across various functions to help execute strategic initiatives that increase revenue, drive operational scale, and improve efficiency for continuous growth. **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws.

Seattle, WA30 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.

Seattle, WA9 days ago

Remote

$60–$70 Per Week

Job Details: + Location: Seattle, WA (Hybrid with 3 days a week onsite) + Pay Rate: $60-70 hr/w2 + Job Type: Contract + Contract Length: 6 months + Experience Level: Mid-level to Senior Key Responsibilities: + Design and build LLM-based evaluation frameworks, including automated scoring pipelines and rubric-based grading systems + Build and maintain data pipelines for evaluation datasets using Python, SQL, and scalable processing tools + Translate complex evaluation results into clear, actionable insights for technical and non-technical stakeholders + Implement automation workflows and agentic evaluation systems to improve efficiency and reduce manual efforts + Develop prompt engineering strategies to evaluate output quality, accuracy, and consistency + Create and maintain metrics, KPIs, and dashboards to track and communicate model performance + Conduct error analysis, root-cause investigations, and quality deep dives to guide model improvements + Partner cross-functionally to define evaluation methodologies and integrate them into production workflows Must-Have Qualifications: + 5+ years of experience in ML engineering, NLP, or AI/ML automation + Strong programming skills in Python and SQL + Deep understanding of machine learning concepts with a focus on NLP and advanced LLM capabilities (e.g., Chain-of-Thought, agentic workflows) + Experience working with large-scale datasets and data pipelines + Strong experience with LLM evaluation, prompt engineering, or auto grading systems + Experience developing metrics and KPIs to measure model output quality and consistency Nice-to-Have: + Experience with LLM-as-judge systems or human + model evaluation frameworks + Background in inter-rater reliability, evaluation calibration, or judged systems design + Experience with PySpark or distributed data processing tools + Exposure to building dashboards or visualization tools for model performance tracking Technical Skills Python, SQL, NLP, LLM Evaluation, Prompt Engineering, Machine Learning, Data Pipelines, Automation Systems NOTE: This posting is for an existing vacancy. This role centers on designing scalable evaluation frameworks, optimizing prompt strategies, and building systems that ensure high-quality, consistent model outputs across product domains.

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Machine Learning Jobs in Broadway, WA

Junior AI & Machine Learning Engineer/Java/MERN Developer SynergisticIT

Applied Scientist II, WW Sustainability Amazon.com Services LLC

Senior Manager, Science and BI Lead, WWOS Tech Amazon.com Services LLC

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

Principal Applied Scientist, Delivery Foundation Model Amazon.com Services LLC

Staff Machine Learning Engineer, Monetization Pinterest, Inc.

Sr. Machine Learning Engineer PitchBook Data

Sr Mgr, Applied Science, AWS Supply Chain Amazon.com Services LLC

Machine Learning Engineer, Core Engineering Pinterest, Inc.

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

Entry Level Data Scientist/Analyst/Java full stack developer Synergistic it

DevOps Engineer III Pinnacle Technical Resources

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.

Staff Machine Learning Engineer, Programmatic Ads Pinterest, Inc.

2026 University Graduate - Machine Learning Engineer Adobe Inc.

Staff Machine Learning Engineer, Ads Late Funnel Pinterest, Inc.

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

Machine Learning Engineer, Firefly Services Adobe Inc.

Staff Machine Learning Engineer Adobe Inc.

Principal Machine Learning Engineer- Search Quality Snowflake Inc.

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

Staff Machine Learning Engineer - Cortex Code Quality Snowflake Inc.

PhD Fall Machine Learning Intern (ATG - Visual, Multimodal, and Recommender Syst Pinterest, 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 Engineer (multiple openings) ADOBE SYSTEMS INC

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

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

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

AIML - Machine Learning Engineer, Visual Intelligence Technology Apple

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

Machine Learning Scientist II Microsoft Corporation

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

Staff Machine Learning Engineer, Search Ranking Snap Inc.

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

Machine Learning Scientist - GenAI, KIT Amazon

Manager- Applied Sciences / Machine Learning Microsoft

Machine Learning Product Summer Intern Pacvue

Machine Learning Scientist III - Search Wayfair

Sr Machine Learning Engineer I Axon

Principal Machine Learning Engineer Microsoft Corporation

Applied Scientist, Brand Protection Machine Learning Amazon

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

Machine Learning Engineer Indeed

AI/ML - Machine Learning Research Engineer, Machine Translation Apple

Machine Learning Engineer - LLM Evaluation & Automation TEKsystems

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