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ai/ml research intern Jobs in San Francisco

ai/ml research intern

ai ml research intern

Ludo Robotics

<div>
 
 The Company
 
 
 
 LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society.
 
 
 We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems.
 
 
 We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward.
 
 
 We are looking for passionate builders who want to explore uncharted territory, take on difficult problems, and ship ambitious, industry-shaping work. You will collaborate across diverse teams as we bring our technology from research into real-world deployment.
 
 
 
 THE OPPORTUNITY
 
 
 
 We're looking for passionate and driven AI/ML Research Interns to join our team for a 8-10-week program at the forefront of physical AI and embodied intelligence. You'll work on meaningful, research-driven projects at the intersection of machine learning, world modeling, and robotics &mdash; with real deliverables and the opportunity to make a genuine impact. All interns will start on or around June 22, 2026.
 
 
 By the end of the program, you'll be expected to produce:
 
 
 <ul>
 <li>
 A working prototype or experimental system (e.g., a learned world model, simulation environment, or control pipeline)
 </li>
 <li>
 A technical write-up and presentation covering your approach, methodology, and results
 </li>
 <li>
 A demonstration of how your system contributes to modeling, prediction, or control in a physical AI context
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 Project focus areas will be tailored to your skills and interests, and may include:
 
 
 <ul>
 <li>
 Developing and training world models that capture human behavior, social interaction dynamics, and physical environments
 </li>
 <li>
 Building and refining simulation environments and digital twins for robot&ndash;human interaction, enabling scalable training and evaluation
 </li>
 <li>
 Designing and integrating robot learning algorithms (e.g., reinforcement learning, imitation learning, generative modeling) that leverage world models for prediction and planning
 </li>
 <li>
 Exploring closed-loop systems where perception, prediction, and control are tightly coupled in real-time robotic settings
 </li>
 <li>
 Prototyping systems that combine digital human technologies with physical AI to enable realistic interaction, adaptation, and personalization
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Strong foundation in AI/ML, including deep learning, reinforcement learning, and/or generative models
 </li>
 <li>
 Genuine interest in embodied intelligence, robotics, and world modeling
 </li>
 <li>
 Proficiency in Python and modern ML frameworks (e.g., PyTorch)
 </li>
 <li>
 Ability to work independently in a fast-paced, research-oriented environment
 </li>
 <li>
 Ability to translate human behavioral and perceptual insights into socially intelligent system design
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Master's or PhD students are preferred. Exceptional undergraduates with strong AI/ML experience and a demonstrated interest in robotics and physical AI will also be considered.
 
 
 </li>
 </ul>
 
 Reasonable Accommodation
 
 
 
 LUDO ROBOTICS is committed to the full inclusion of all qualified individuals. As part of this commitment, the Company will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to apply for an open position, perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the Operations Team, to begin the interactive process.
 
 
 
 EEOC Statement
 
 
 
 LUDO ROBOTICS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
 
 
 This position may be filled at multiple levels depending on experience, scope, and business need. In California, the expected salary range for this position is $50- $70/hr. The listed expected salary ranges represent good faith estimates. Actual compensation may vary based on job-related factors including experience, education, skills, performance, and work location.
 
 
 
 Don&rsquo;t meet every single requirement?
 
 
 
 Studies have shown that women and people of color are less likely to apply at jobs unless they meet every single qualification. At LUDO ROBOTICS we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You might just be the right candidate for this or other roles.
 
 
 
 Due to recent scams, our recruiters will only reach out to you via @ludorobotics.ai, @sds.com, @krafton.com or @pubg.com. If you received an email and are unsure you can always email recruiting_KA@Krafton.com
 
</div>

AI/ML Research Intern

Rocket Lawyer

<div><div><div>About Rocket Lawyer</div>
<div></div>
<div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div>
<div></div>
<div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div>
About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You'll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities
<ul>
<li>Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features</li>
<li>Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models</li>
<li>Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products</li>
<li>Research and stay up-to-date with industry trends around generative AI and machine learning</li>
<li>Prototype product features to explore new AI capabilities and write clean, understandable code</li>
</ul>
What you'll need
<ul>
<li>Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.</li>
<li>Basic understanding of machine learning concepts and algorithms.</li>
<li>Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).</li>
<li>Interest or experience working with large language models (LLMs) and generative AI.</li>
<li>Strong programming skills in Python</li>
</ul><h3 class="jobSectionHeader">A bonus if you have</h3>
<ul><li>Experience with backend Python frameworks like FastAPI, Flask, Django, etc.</li>
<li>Familiarity with vector databases.</li>
<li>Additional programming skills in languages such as Java, Kotlin, or NodeJS.</li>
<li>SQL knowledge.</li>
<li>Interest in building user-facing products.</li>
<li>Understanding of microservices architectures and distributed systems.</li>
</ul>
Interview Process
<ul>
<li>Recruiter Phone Screen</li>
<li>Hiring Manager Interview</li>
<li>Team Interview</li>
</ul><div><div><div><div><div><div>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</div>
<div></div>
<div>All your information will be kept confidential according to EEO guidelines.
</div><div>You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.</div>
<div></div>
<div>Location: Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship. 
Duration: June 8, 2026 - August 14, 2026, working 40 hours per week</div>
<div></div>
<div><div>Compensation per hour by location:</div>
<ul><li>San Francisco Bay Area, CA: $50.00</li>
<li>California (outside of San Francisco Bay Area): $46.25</li>
<li>Colorado: $42.50</li>
<li>Utah, Arizona, and North Carolina: $40.00</li></ul> 
</div>
</div></div></div></div></div><div></div><div>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</div></div>

AI/ML Intern

PHOTOROOM

<div><h2 class="jobSectionHeader">About us</h2>
Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce. 
 
We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. 
 
We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide.<h2 class="jobSectionHeader"> 
TL;DR</h2>
We're looking for a Head of Computer Vision to lead our world-class ML team through an ambitious growth phase. You'll drive our long-term technical vision, make bold strategic bets, and push the boundaries of what's possible in AI photo editing to achieve breakthrough capabilities.
Team size: ~10 ML Engineers &amp; Researchers (scaling rapidly)
Reports to: Chief Technology Officer
Competitive salary + stock options
Work flexibly from Germany, UK, Italy, France, Ireland, Portugal or Spain, with monthly Paris office visits (fully reimbursed)
Relocation support up to &euro;10k + visa sponsorship for France-based positions
Full tech setup + biannual company retreats<h2 class="jobSectionHeader">
About the role 
 
</h2>You'll own:<ul><li>
Long-term ML strategy, including training foundational models from scratch</li><li>
Team leadership - scaling our exceptional team while maintaining culture and excellence</li><li>
Technical excellence - code review, performance optimisation, and troubleshooting complex training issues</li><li>
Breakthrough innovation - driving next-generation capabilities that redefine industry standards</li><li>
Research excellence - balancing cutting-edge research with rapid product impact</li><li>
Cross-functional partnership - serving as the primary bridge between ML and Product/Sales/Engineering teams</li><li>
Talent attraction - building the industry's most compelling CV team</li></ul>
Key opportunities to drive impact:<ul><li>
Advanced research-to-production pipeline for faster innovation cycles</li><li>
Establish visionary technical direction for our ambitious growth phase</li><li>
Create space for calculated risk-taking alongside rapid shipping excellence</li><li>
Build comprehensive evaluation frameworks that set new industry standards</li></ul><h2 class="jobSectionHeader"> 
About you 
 
</h2>Must-haves:<ul><li>
5+ years leading ML/AI teams at product companies with strategic decision-making experience</li><li>
Deep Computer Vision + Diffusion/GenAI expertise with hands-on large model training</li><li>
Foundational model training experience - billion+ parameter models end-to-end</li><li>
Team scaling experience - 8+ people, proven hiring and mentorship track record</li><li>
Cross-functional collaboration - can work closely with Product, Sales, and Engineering teams</li><li>
Technical depth for mentorship - spot code issues, debug training failures, analyse performance bottlenecks, and guide ICs through complex technical challenges</li></ul> 
Leadership style:<ul><li> 
Empowering, non-micromanaging - sets context, not tasks</li><li>
Decisive on technical strategy - comfortable making big bets and owning outcomes</li><li>
Innovation-focused - encourages bold experiments while learning from failures</li><li>
Technically credible - maintains respect through hands-on expertise, code review proficiency, and opinionated technical guidance</li><li>
Results-driven - avoids unnecessary process, ensures clear accountability</li></ul><h2 class="jobSectionHeader"> 
What Success Looks Like 
 
</h2><ul><li>Clear ML roadmap with research/application balance and cross-functional visibility</li><li>
Foundational model training launched and progressing with measurable milestones</li><li>
Accelerated innovation velocity with more research projects reaching production, production features driving business metrics</li><li>
Enhanced team engagement around vision and technical challenges</li><li>
World-class hiring outcomes, attracting and retaining top technical talent</li><li>
Scaled team excellence, maintaining velocity and quality through rapid growth</li></ul><h2 class="jobSectionHeader">
About the Team</h2> 
We're a curious, ambitious group with deep ML expertise - folks who've trained billion-parameter models, built real-time CV infrastructure, and shipped to millions of users.
Team strengths: Lightning-fast iteration, state-of-the-art models, strong collaboration, proven user impact at massive scale
Ready for: Visionary leadership to guide our next breakthrough phase, ambitious foundational model initiatives, enhanced research-to-production processes, and technical mentorship from experienced leadership
The opportunity: Lead breakthrough AI capabilities that will process billions more images and define the future of AI photo editing.<h2 class="jobSectionHeader">
Hiring Process
</h2><ul><li>Screening call with Recruiter</li><li>
Initial conversation, then a deep dive with our CTO</li><li>
Home technical assignment + team review</li><li>
Culture fit interviews + meet the team</li><li>
Reference check &amp; Offer</li></ul><h2 class="jobSectionHeader">
Diversity, Equity, Inclusion, and Belonging</h2>
We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds.
That's also why we have flexible working hours, trust people to work remotely, and extended parental leave.
All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.</div>

Head of Computer Vision

THRAD

<div><h3 class="jobSectionHeader">The Role</h3>
We are looking for an Applied Scientist to own the models that decide which ad appears in which AI conversation, in real time, across millions of queries a day. Ad selection inside LLM chats is a genuinely new problem: no click history, no cookies, no page context. Just an evolving conversation and a few hundred milliseconds to make a decision that has to feel native to the user, relevant to the advertiser, and profitable for the publisher.
This is a research role with a production mandate. Your models go live, not into a paper. You will work directly with our CTO and the founding engineering team on the systems powering millions of ads a day across Fortune 500 campaigns.<h3 class="jobSectionHeader">
Core Tech Stack</h3><ul><li>
ML: PyTorch, embedding-based retrieval, modern transformer architectures</li><li>
Backend: Python (FastAPI), async serving, real-time inference</li><li>
Data: PostgreSQL for transactional, ClickHouse for analytics and event data</li><li>
Infra: AWS, Docker, CI/CD</li><li>
Plus: whatever the problem demands. We pick tools that ship.</li></ul><h3 class="jobSectionHeader">
Example Projects</h3><ul><li>
Design and train contextual ad relevance models for LLM conversations, from retrieval through ranking through creative selection.</li><li>
Build efficient algorithms for real-time bidding and auction mechanics, balancing publisher yield and advertiser ROAS.</li><li>
Productionize regression models to predict downstream conversion from early conversational signals.</li><li>
Apply privacy-preserving clustering methods to categorize conversational context and improve advertiser targeting without compromising user data.</li><li>
Run live experiments against real traffic on our publisher network. Iterate on CTR, ROAS, and conversation quality metrics.</li><li>
Own the evaluation framework for ad quality, relevance, and user experience across the marketplace.</li><li>
Read an ArXiv paper on Monday. Have a prototype running on Friday.</li></ul><h3 class="jobSectionHeader">
What You Will Do</h3><ul><li>
Own the research and shipping of the models powering ad selection across Thrad's network.</li><li>
Move research to production end to end: hypothesis, training, evaluation, deployment, monitoring.</li><li>
Collaborate directly with the CTO and co-founders to translate research direction into working systems, often within the same day.</li><li>
Partner with the Data and Product teams to design and analyze live experiments on real traffic.</li><li>
Contribute to system architecture decisions as we scale from millions to billions of daily ad impressions.</li><li>
Communicate findings clearly to both technical and non-technical audiences across the team.</li></ul><h3 class="jobSectionHeader">
Who You Are</h3>
Must-haves<ul><li>
2 to 5 years of applied ML experience, ideally in ads, search, recommendations, ranking, or NLP.</li><li>
An advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field &mdash; or equivalent experience shipping production ML.</li><li>
Strong fundamentals in mathematical and statistical modeling. You know why your model works, not just that it does.</li><li>
Fluent in PyTorch, modern transformer architectures, and embedding-based retrieval.</li><li>
Strong Python, comfort with distributed training and inference.</li><li>
You have shipped ML to production at scale. Not just notebooks.</li><li>
You enjoy identifying and owning hard, open-ended problems. You form testable hypotheses and run them to ground.</li><li>
Based in San Francisco or willing to relocate. This is an in-person role at our SF HQ.</li></ul>
Nice-to-haves<ul><li>
Experience with RLHF, preference modeling, or LLM fine-tuning.</li><li>
Background in auction theory, bidding systems, real-time pricing, or yield optimization.</li><li>
Prior work at an ad-tech, search, recommendations, or marketplace company.</li><li>
Published research at NeurIPS, ICML, ACL, KDD, RecSys, or equivalent.</li><li>
Familiarity with ClickHouse or other column-oriented OLAP databases for analytical workloads.</li><li>
A relentless interest in the AI and LLM ecosystem and how advertising will evolve inside conversational interfaces.</li></ul><h3 class="jobSectionHeader">
Why Thrad</h3><ul><li>
First mover: We are defining a new category. Paid ads in AI is an inevitable market and we are building the infrastructure for it.</li><li>
Real traction: Fortune 500 clients, millions of daily impressions, and publisher partners across the AI web, all pre-seed.</li><li>
Research with teeth: Your work ships. Your models run in production against real traffic with real revenue on the line.</li><li>
Direct impact: Small founding team. Your decisions shape the models, the product, and the company.</li><li>
Ownership: Meaningful equity in a company at the intersection of two massive markets: AI and ad tech.</li><li>
Craft: A team that cares about shipping quality, not just quantity.</li></ul><h3 class="jobSectionHeader">
How to Apply</h3>
Send your CV and a brief note on what excites you about building at the intersection of AI and advertising. If you have published work, a GitHub, or models you have shipped that you are proud of, include them. We read every application.</div>

Applied Scientist

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 Untangling the science of Data &amp; Evaluations for Frontier AI
 
 
 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
 </li>
 <li>
 Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
 </li>
 <li>
 Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
 </li>
 <li>
 Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 Based in San Francisco, and excited to work in the office.
 </li>
 <li>
 Ph.D. in ML/AI, data science, or related fields.
 </li>
 <li>
 Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
 </li>
 <li>
 Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $320K - $365K
 
 
</div>

AI Research Scientist

Tacit

<div>
 
 About Tacit
 
 
 
 We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can&rsquo;t reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
 
 
 
 About The Role
 
 
 
 As a
 
 data scientist intern
 
 , you be joining the ML / research team to develop new tools and techniques for data processing, data analysis, and improving our technology stack. You&rsquo;ll be responsible for designing, running and analyzing experiments using our system, interpreting results to inform future data collection and hardware design, and improving our decoding algorithms. This role will feature hands-on work with our basic signals coming off custom hardware all the way up to studying performance scaling across large numbers of people.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, implement, and test algorithms for data feature extraction from bio-signals for use in machine learning models.
 </li>
 <li>
 Rapid iteration on experiments for evaluating new hardware prototypes, data collection improvements, and to gain understanding of key aspects of our system.
 </li>
 <li>
 Develop analytical tools for visualization and establish data quality metrics.
 </li>
 <li>
 Work with hardware and electrical engineers to improve the overall sensing stack.
 </li>
 <li>
 Collaborate with ML team on data augmentation, multimodal training, synthetic data experiments for improved generalization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Currently enrolled in (or recently graduated from) a PhD program in neuroscience, biomedical engineering, computer science, applied math, or related fields.
 </li>
 <li>
 Effective communication and writing skills.
 </li>
 <li>
 Ability to collaborate effectively across different teams and rapidly adapt to new fields.
 </li>
 <li>
 Fluency in Python (and PyTorch is a plus).
 </li>
 <li>
 Experience with dimensionality reduction techniques and time series data analysis.
 </li>
 <li>
 Independent work ethic, flexibility, and resourcefulness.
 </li>
 <li>
 Enjoy fast moving startup environment, excited to build independently.
 
 
 </li>
 </ul>
 
 Strong candidates may have
 
 
 
 <ul>
 <li>
 Familiarity with real-time human-machine interaction, ranging from automatic speech recognition to closed-loop neural interfaces.
 </li>
 <li>
 Expertise with speech motor control, communication prostheses, and/or speech neuroscience.
 </li>
 <li>
 Prior experience with consumer wearable devices.
 </li>
 <li>
 Basic fundamentals in ML, ML infrastructure: experiment management tracking (e.g. Hydra, WandB) and AWS, Slurm.
 
 
 </li>
 </ul>
 
 Compensation Range
 
 
 
 Hourly determined based on your specific skills and experience
 
 
 
 Details
 
 
 
 <ul>
 <li>
 Company size: 20-30 people
 </li>
 <li>
 Duration: 12 weeks (Start Summer/Fall)
 </li>
 <li>
 This position is full time, on-site in San Francisco
 
 
 </li>
 </ul>
</div>

Data Scientist Intern

Distyl

<div>
 
 About Distyl AI
 
 
 
 Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
 
 
 We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
 
 
 Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
 
 
 
 What We Are Looking For
 
 
 
 As a Software Engineer Back End you will help design, build, and optimize Distillery&mdash;our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.
 
 
 Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build &amp; Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
 </li>
 <li>
 Develop Cloud-Native Microservices &amp; Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
 </li>
 <li>
 Optimize System Performance &amp; Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
 </li>
 <li>
 Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
 </li>
 <li>
 Proficiency in Backend &amp; Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
 </li>
 <li>
 Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
 </li>
 <li>
 Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
 </li>
 <li>
 Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus
 </li>
 <li>
 Travel: Ability to travel 10-20%
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
 </li>
 <li>
 100% covered medical, dental, and vision for employees and dependents
 </li>
 <li>
 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
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 Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
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 Ownership of high‑impact projects across top enterprises
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 A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
 
 
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 Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.
 
 
 
 
 We&rsquo;re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we&rsquo;re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we&rsquo;ve completed our review, regardless of the decision.
 
 
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Software Engineer - Back End

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