San Francisco, California, United States · Hybrid
$238k–$345k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Model Fine-tuning, Natural Language Processing, PyTorch, TensorFlow, JAX
San Francisco, California, United States · Hybrid
$197k–$345k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Model Fine-Tuning, Natural Language Processing, PyTorch, TensorFlow, JAX
Seattle, Washington, United States · On-site
$231k–$370k/yr
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and adv…
Skills: Technical Program Management, People Management, Distributed Systems, API Design, Risk Management
Seattle, Washington, United States · On-site
Job Summary and Mission At Starbucks, our mission is to inspire and nurture the human spirit – one person, one cup, and one neighborhood at a time. Starbucks Technologists work to achieve this mission through the use of …
Skills: Product Planning, Technical Product Management, API Technologies, Agile Development, User Story Writing
Seattle, Washington, United States · On-site
$144k–$194k/yr
Amazon Web Services (AWS) has been leading the world into the cloud computing era since its inception in 2006. The AWS Partner Network (APN) is the vital ecosystem we have created with our tens of thousands of consulting…
Skills: C#, C++, Java, Perl, Object Oriented Design
Seattle, Washington, United States · On-site
@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions. Field Account Executive Hyve Solutions is a leader in th…
Skills: Account Management, Strategic Planning, Technical Sales, Infrastructure Solutions, Customer Relationship Management
Seattle, Washington, United States · On-site
Amazon is building AI-powered shopping experiences that reimagine how hundreds of millions of customers discover and buy products — and we need a Principal PMT to own the vision, strategy, and execution for one of our fa…
Skills: Product Strategy, Generative AI, Roadmap Definition, Monetization Strategy, Technical Product Management
New York, New York, United States · On-site
$167k–$226k/yr
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners…
Skills: Machine Learning, Artificial Intelligence, Deep Learning, Python, Java
Seattle, Washington, United States · On-site
$144k–$194k/yr
Would you like to build highly available, scalable and distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you? The Analytics & Data Management (ADM) team in Ads AI Cor…
Skills: Java, AWS, Spark, EMR, Athena
Seattle, Washington, United States · On-site
$144k–$194k/yr
Would you like to build highly available, scalable and distributed engineering systems for one of the largest data lakes in Amazon? Does Petabyte scale excite you? The Analytics & Data Management (ADM) team in Ads AI Cor…
Skills: Java, AWS, Spark, EMR, Athena
Seattle, Washington, United States · On-site
About the Role We are seeking Robot Teleoperators to support next-generation robotics and AI programs. In this role, you will remotely operate and supervise robotic systems through advanced control interfaces, helping ro…
Skills: Robot Teleoperation, Hand-Eye Coordination, Data Collection, Data Annotation, Telemetry Monitoring
Seattle, Washington, United States · On-site
About the Role We are seeking an experienced Senior Teleoperations Lead to oversee robotics operations teams supporting AI training, robotic testing, and commercial deployment programs. In this role, you will be responsi…
Skills: Teleoperations, Robotics Operations, Team Leadership, Operational Excellence, KPI Monitoring
Seattle, Washington, United States · On-site
About the Role We are seeking Robotics Operations Technicians to support daily robot deployment, testing, and operational activities across a variety of robotics programs. The successful candidate will help ensure roboti…
Skills: Robotics Operations, Troubleshooting, Equipment Inspection, Data Collection, Hardware Replacement
Seattle, Washington, United States · On-site
$144k–$194k/yr
Build the systems that deliver billions of personalized ad impressions daily — combining large-scale distributed services, LLMs, and innovative shopper experiences to help brands connect with customers during their most …
Skills: Distributed Systems, LLMs, Generative AI, System Design, C#
Seattle, Washington, United States · Remote Solely
$110k–$125k/yr
UI Engineer Department: Engineering Employment Type: Full Time Location: Remote - USA Reporting To: Director, Engineering Compensation: $110,000 - $125,000 / year Description Job Impact As a member of the Product Develop…
Skills: Angular, TypeScript, HTML, CSS, C#
Seattle, Washington, United States · On-site
Automation Onsite Administrator - Seattle, WA The Automated Onsite Administrator (AOA) provides support for Omnicell solutions to ensure desired customer outcomes. This role builds and maintains the relationship between …
Skills: Microsoft Excel, Data Analysis, Presentation Skills, Planning, Organizational Skills
Seattle, Washington, United States · On-site
$30/hr
Automation Onsite Administrator - Seattle, WA The Automated Onsite Administrator (AOA) provides support for Omnicell solutions to ensure desired customer outcomes. This role builds and maintains the relationship between …
Skills: Microsoft Excel, Data Analysis, Project Management, Presentation Skills, Interpersonal Communication
San Francisco, California, United States · Hybrid
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: OpenBMC, Firmware Security, C++, Python, Yocto
Seattle, Washington, United States · On-site
$170k–$215k/yr
Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are m…
Skills: Product Design, UX Design, Interaction Design, Visual Design, System Thinking
Seattle, Washington, United States · On-site
$168k–$227k/yr
As part of the AWS Applied AI 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…
Skills: Software Development, System Architecture, Design Patterns, Technical Leadership, Code Review
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Design and execute end-to-end fine-tuning strategies for LLMs to power Slack's NLP features like summarization and search ranking. Own the full lifecycle from data curation and training on GPU infrastructure to production deployment and monitoring.
Requires 5+ years of experience training and fine-tuning deep learning models in NLP using frameworks like PyTorch or TensorFlow. Must have a proven track record of shipping production-scale models and proficiency in languages such as Python, Java, or Go.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software EngineeringJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES
Slack is looking for a Staff Machine Learning Engineer with deep expertise in model training and finetuning to join our ML team. You'll design, train, and ship NLP models that power core product experiences — from summarization and search ranking to generative AI features used by millions daily. This role is hands-on: you'll work at a low level with training frameworks, optimize model architectures, build finetuning pipelines, and own the full lifecycle from experiment to production.
We have over 10 million daily active users relying on our product.
At peak usage, a million messages a minute pass through Slack.
During the week, our users spend over a billion minutes a day active in our product.
Machine learning engineers at Slack ship models that serve millions of users daily. This role owns that end-to-end: finetuning models for Slack's NLP tasks and putting them into production with the rigor and reliability our users expect. We're not looking for someone who hands off a checkpoint — we want someone who sees it through to serving traffic. Broader ML skills — data pipelines, experimentation, feature engineering — are valuable here too, but deep training and productionization expertise is the core of this role.
This is a practical machine learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.
Design and execute finetuning strategies for large language models and other deep learning architectures tailored to Slack's NLP tasks (summarization, ranking, classification, generation).
Own the model training lifecycle end-to-end: data curation, training infrastructure, hyperparameter optimization, evaluation, deployment and monitoring.
Build and maintain scalable finetuning training pipelines on GPU infrastructure.
Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.
Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
Mentor other engineers and deeply review code.
Improve engineering standards, tooling, and processes.
5+ years of hands-on experience training and fine-tuning deep learning models in NLP (or a closely related domain like speech, IR, or multimodal).
5+ years of experience with common deep learning frameworks like PyTorch, TensorFlow, JAX, etc
Track record of shipping fine-tuned models to production that serve real users at scale — not just research prototypes.
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
Led technical architecture discussions and helped drive technical decisions within the team.
The ability to write understandable, testable code with an eye towards maintainability.
Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.
Expertise with recommendation systems or search.
Familiarity with model optimization for inference (quantization, pruning, speculative decoding, compilation via TorchScript/TensorRT/ONNX).
Experience with retrieval-augmented generation and hybrid retrieval/generation systems.
Broad experience across NLP, ML, and Generative AI capabilities.
Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.
Broad experience across NLP, ML, and Generative AI capabilities.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform. Privacy Statement: http://www.salesforce.com/company/privacy/
Offices: 415 Mission St, San Francisco, California 94105, US · 1 Market, Staines, Switzerland, CH · 1 Market, Singapore, Singapore 038989, US · 1-1-3 Marunouchi, Chiyoda-ku, Tokyo 100-0005, JP · Erika-Mann.Straße 63, Munich, 80636, DE
Based on 2420 listings with disclosed salaries, most technology jobs in Seattle, WA pay between $119k–$243k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,819 open technology positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Amazon, Blue Origin, Oracle, Apple, Expedia Group, among others. Browse the listings above to see every active employer.
Yes — 898 of the 2819 open technology positions offer remote or hybrid work (224 remote, 674 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
