2026 phd scientist intern (driver pricing), us

ai analytics engineer (marketing analytics)

ai training - machine learning specialist (pst)

machine learning engineer Jobs in San Francisco

machine learning engineer

2026 phd scientist intern (driver pricing), us Jobs in San Francisco

ai analytics engineer (marketing analytics) Jobs in San Francisco

ai training - machine learning specialist (pst) Jobs in San Francisco

ai/machine learning engineer intern Jobs in San Francisco

ai/machine learning engineer intern

machine learning intern

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers &mdash; including 100% of the Fortune 50 &mdash; trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.
 
 
 This unique position in the ecosystem is driving exceptional growth &mdash; in 2025, we tripled ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how careers evolve in the AI economy at global scale, with visible real-world impact
 </li>
 <li>
 Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
 </li>
 <li>
 Help build a rapidly scaling business on a path toward multi-billion-dollar revenue
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 As a
 
 AI/Machine Learning Engineering Intern
 
 , you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.
 
 
 You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.
 
 
 This is a paid, full-time summer internship with two cohort options:
 
 
 <ul>
 <li>
 May 18 &ndash; August 7, 2026
 </li>
 <li>
 June 15 &ndash; September 4, 2026
 
 
 </li>
 </ul>
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner with senior engineers and data scientists to develop machine learning models that improve user experience
 </li>
 <li>
 Build Agentic pipelines/workflows to improve the Handshake student/employer user experience
 </li>
 <li>
 Contribute to experimentation, model evaluation, and performance monitoring
 </li>
 <li>
 Participate in technical discussions, brainstorming sessions, and team reviews
 </li>
 <li>
 Document methodologies and findings to support knowledge sharing and long-term system improvements
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 
 Must Haves
 
 
 
 <ul>
 <li>
 Are currently pursuing a degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Have exposure to software engineering best practices (version control, testing, code reviews)
 </li>
 <li>
 Have familiarity with data analysis techniques and experience with SQL
 </li>
 <li>
 Have strong problem-solving skills and the ability to work in a collaborative team environment
 </li>
 <li>
 Have strong communication skills and are able to explain technical concepts effectively
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, Google Cloud, or Azure
 </li>
 <li>
 Experience with modern coding tools like Cursor/Claude code/Codex
 </li>
 <li>
 Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 Handshake provides benefits that help you feel supported and thrive at work and in life.
 
 
 (The below benefits apply to US-based interns.)
 
 
 <ul>
 <li>
 💰 Competitive hourly compensation
 </li>
 <li>
 📚 Mentorship and hands-on learning from experienced ML engineers
 </li>
 <li>
 💻 5 days/week in-office experience
 </li>
 <li>
 🤝 Structured intern programming and team events
 
 
 </li>
 </ul>
 Explore our mission, values, and open roles at
 
 joinhandshake.com/careers
 
 .
 
 
</div>

AI/Machine Learning Engineer Intern

Uber

<div>We are looking for current students to join Uber as Scientist Interns for 12 weeks in Summer 2026. As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross functional partners.
 
 
About the Role
 
 
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked? If so, Uber is for you. In our Sciences division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
 
 
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
 
 
About the Team
 
 
The Driver Pricing team is looking for talented data scientists to help us tackle some of the most challenging and interesting problems at Uber. In this role, you will apply your quantitative skills in machine learning, statistics, and economics to improve the Uber user experience and the overall marketplace performance. You'll be a key contributor to the team that designs, evaluates, and builds our systems for pricing trips for drivers.
 
 
What You'll Do
<ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with engineers and product managers to turn prototypes into scalable solutions
</li><li>Present findings to leaders to inform decisions
</li><li>Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
</li><li>Conduct experiments to drive business decisions
</li></ul>Basic Qualifications
<ul><li>Pursuing a Ph.D. majoring in Economics, Operations Research, Mathematics, Computer Science, Statistics, Machine Learning, or other related quantitative fields. Candidates should have at least one semester/quarter left of their education after finishing the internship
</li><li>Strong problem solving and analytical abilities
</li></ul>Preferred Qualifications
<ul><li>Coding proficiency in areas such as R, Spark, SQL, Python and AB Testing
</li><li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
</li><li>Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, Model Development, Operations Management, Revenue Management and Pricing, Advertising, Experimental Design, Assortment Planning, Transportation
</li><li>Organized, detail oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li><li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
</li>Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Driver Pricing), US

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Machine Learning Engineer
 
 
 
 Company:
 
 Harnham
 
 
 
 Location:
 
 San Francisco, CA
 
 
 <ul>
 <li>
 Remote
 
 
 </li>
 </ul>
 
 Type:
 
 Full-time
 
 
 
 Posted:
 
 10 hours ago
 
 
 
 Job Description
 
 
 
 
 MACHINE LEARNING ENGINEER - MULTIMODAL AI
 
 
 
 
 FULLY REMOTE
 
 
 
 
 $260,000 - $325,000
 
 
 
 An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.
 
 
 You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.
 
 
 
 The Company
 
 
 
 The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.
 
 
 THE ROLE
 
 
 Hands-on engineering role focused on developing and deploying advanced ML models.
 
 
 <ul>
 <li>
 Develop computer vision and generative AI models for image and video
 </li>
 <li>
 Prototype and iterate on research solutions under tight timelines
 </li>
 <li>
 Collaborate with engineering, product, and research teams to productionize models
 </li>
 <li>
 Ensure clean, maintainable, and high-performance code
 
 
 </li>
 </ul>
 
 Your Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years in ML, computer vision, graphics, or related research/engineering roles
 </li>
 <li>
 Strong programming skills; experience with CUDA and C++ for performance optimizations
 </li>
 <li>
 Experience with at least one ML framework (PyTorch, TensorFlow)
 </li>
 <li>
 Deep interest in human-in-the-loop systems for creativity
 </li>
 <li>
 Ability to rapidly prototype and iterate on solutions
 </li>
 <li>
 Excellent collaboration, communication, and documentation skills
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please register your interest by sending your resume to Calum Reid via the apply link on this page.
 
 
 
 About Harnham
 
 
 
 <ul>
 <li>
 Company size: 51 - 200 Employees
 </li>
 <li>
 Headquarters location: New York, NY, US
 </li>
 <li>
 Year founded: 2006
 </li>
 </ul>
</div>

Machine Learning Engineer

Acceler8 Talent

<div>
 
 🚨
 
 Hiring: Machine Learning Engineer (Optimization / Decision Systems)
 
 
 
 📍 San Francisco (Onsite)
 
 
 💰 Up to $250K + Equity (Dependent on experience)
 
 
 
 
 
 Most companies still manage digital advertising like it&rsquo;s 2015. Manually adjusting budgets, guessing which campaigns work, and relying on black-box metrics from ad platforms.
 
 
 We&rsquo;re working with a venture-backed startup building something very different:
 
 
 An AI-driven optimization engine that autonomously allocates advertising spend using the same quantitative rigor used in high-frequency trading and financial markets.
 
 
 Instead of humans manually managing campaigns, their system continuously decides:
 
 
 &bull; Where budget should go
 
 
 &bull; When bids should change
 
 
 &bull; Which creative is losing performance
 
 
 &bull; How to maximize return across platforms
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 
 🧠 Build models for LTV prediction and budget optimization
 
 
 ⚙️ Design risk-aware algorithms that control how millions in ad spend is deployed
 
 
 🔌 Build real-time integrations with platforms like Meta, Google &amp; TikTok
 
 
 📊 Develop simulation &amp; backtesting systems before strategies go live
 
 
 🚀 Take models from research &rarr; production &rarr; monitoring
 
 
 
 
 
 
 Ideal Background:
 
 
 
 ✔️ 4+ years in Machine Learning or Applied ML Engineering
 
 
 ✔️ Strong foundation in statistics, probability, and optimization
 
 
 ✔️ Experience deploying ML models in production systems
 
 
 ✔️ Builders who care about real-world impact, not just research
 
 
 
 
 
 ⭐ Bonus if you&rsquo;ve worked in quant finance, algorithmic trading, or adtech
 
 
 
 
 
 
 Why This Role Is Interesting:
 
 
 
 &bull; You&rsquo;ll build systems that control real-world financial decisions
 
 
 &bull; Early engineer helping shape the core architecture
 
 
 &bull; Opportunity to work on a $1T+ global market
 
 
 &bull; Meaningful equity at an early stage
 
 
 
 
 
 If you're interested or know someone who might be, DM me or apply below 👇👇
 
</div>

OpenAI

<div>
 
 About The Team
 
 
 
 The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
 
 
 The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.
 
 
 
 About The Role
 
 
 
 As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You&rsquo;ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You&rsquo;ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
 </li>
 <li>
 Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
 </li>
 <li>
 Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
 </li>
 <li>
 Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
 </li>
 <li>
 Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Demonstrated experience in deep learning and transformers models
 </li>
 <li>
 Experience with content understanding or abuse prevention with LLMs is a plus
 </li>
 <li>
 Proficiency in frameworks like PyTorch or Tensorflow
 </li>
 <li>
 Strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Ability to work collaboratively with cross-functional teams.
 </li>
 <li>
 Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
 </li>
 <li>
 Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $266K - $555K
</div>

Machine Learning Engineer, Integrity

Superhuman

<div>
 
 Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
 
 
 
 
 About Superhuman
 
 
 
 Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company&rsquo;s products include Grammarly&rsquo;s writing assistance, Coda&rsquo;s collaborative workspaces, Mail&rsquo;s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters.
 
 Learn more at superhuman.com and about our values here.
 
 
 
 
 The Opportunites
 
 
 
 We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company's transformation.
 
 
 <ul>
 <li>
 Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI-native productivity suite for enterprises.
 </li>
 <li>
 Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems.
 </li>
 <li>
 Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs.
 </li>
 <li>
 Integrate Cutting-Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences.
 </li>
 <li>
 Thrive in a High-Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast-paced, ambiguous environment.
 </li>
 <li>
 Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals&mdash;just a focus on making meaningful contributions to a platform used by millions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS / PhD in Computer Science.
 </li>
 <li>
 5+ years of industry experience as a machine learning engineer or applied research scientist.
 </li>
 <li>
 A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.
 </li>
 <li>
 Experience building LLM-based products.
 </li>
 <li>
 A deep care about the end-user experience and strives to ensure high quality.
 </li>
 <li>
 Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.
 
 
 </li>
 </ul>
 We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!
 
 
 
 Compensation And Benefits
 
 
 
 Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
 
 
 <ul>
 <li>
 Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
 </li>
 <li>
 Disability and life insurance options
 </li>
 <li>
 401(k) and RRSP matching
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
 </li>
 <li>
 Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
 </li>
 <li>
 Annual professional development budget and opportunities
 
 
 </li>
 </ul>
 Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
 
 
 Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
 
 
 United States
 
 
 Zone 1: $250,000 - $385,000/year (USD)
 
 
 
 We encourage you to apply
 
 
 
 At Superhuman, we value our differences, and we encourage all to apply&mdash;especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
 
 
</div>

Machine Learning Engineer, Agents

Prolific

<div>
 <ul>
 <li>
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 </li>
 <li>
 ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"&gt;
 
 
 </li>
 </ul>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you'll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (PST)

Explore 157+ Machine learning intern in San Francisco this March. Find roles across top companies and apply now to boost your career.

157 machine learning intern jobs In San Francisco

AI/Machine Learning Engineer Intern

2026 PhD Scientist Intern (Driver Pricing), US

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer, Integrity

Machine Learning Engineer, Agents

AI Training - Machine Learning Specialist (PST)