ML Engineer
San Francisco, California, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Mid-level / Intermediate USD 160K - 185K
Instawork
Instawork intelligently matches businesses with our vetted pool of 7 million workers whether you need them for a few hours, a few months, or anything in between.Instawork’s vision is to create economic opportunities for local businesses and skilled hourly workers in communities around the world. With an AI-first approach, we’re supercharging the leading online labor marketplace and looking for exceptional talent to help us build the future of hourly work. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and more, we want you to help us continue to scale quickly and make an even greater impact.
We are seeking an innovative ML Engineer to join our dynamic and growing team. Our goal is to create economic opportunity for businesses and local professionals globally. We believe AI and machine learning will be key factors across our products and company in accelerating our mission.
Who You Are:
- BS or MS in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field
- 0-2 years of experience in quantitative analysis, statistical modeling, or deploying ML solutions to production
- Understanding of statistical techniques, including regression, hypothesis testing, and distributions
- Familiarity with machine learning algorithms, including decision trees, clustering, and neural networks. Exposure to LLMs and generative AI (e.g., prompt engineering, RAG) is a plus
- Proficient in Python and SQL, with some experience in ML libraries such as Scikit-learn, PyTorch, TensorFlow
- Familiarity with data modeling, modern data/ML infrastructure concepts (e.g., Airflow, MLFlow, feature stores) is a plus
- Strong communication and documentation skills with the ability to collaborate cross-functionally
What You'll Do:
- Assist in building/integrating new machine learning models into production and monitoring their performance
- Collaborate with cross-functional teams to understand and support machine learning platform strategies
- Contribute to technical approach and problem analysis documents
- Work closely with Product to understand and support our roadmap
- Help build/maintain reports, dashboards, and metrics to monitor the performance of our products
- Learn from and be mentored by senior team members
- Contribute to our ML platform architecture and strategy
- Support efforts to create a data-driven culture across the company
For CA based applicants:
- The base salary range for this position is $160,000 - $185,000, dependent on experience
- This position is eligible for equity in the form of stock options
- This position is eligible for Instawork benefits, including:
- A variety of medical, dental, and vision plans with coverage beginning on the date of hire
- Flexible paid time off
- At least 8 paid company holidays annually
- Phone stipend
- Commuter stipend
- Supplemental pay on qualified leaves
- Employee health savings accounts (HSA) contribution
- Flexible spending plans
- 401K plan
- Perkspot - discount program through Lumity
A variety of factors are considered when determining someone’s compensation including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above.
Our Values
-
Empathy, Trust & Candor
We put ourselves in the shoes of our colleagues and customers and don’t shy away from uncomfortable conversations, instead building trust through honest and direct feedback. -
Bias for Action
We practice high-velocity decision-making, clear-eyed that we often operate with incomplete information. Growing quickly means it’s OK to be wrong, so long as we learn from our mistakes and course correct! -
Always Be Learning
We’re a curious bunch, and with AI transforming our workplace we encourage everyone to learn from each other, compounding our knowledge and experience to help us change an entire industry. -
Act Like an Owner
We work long, hard, and smart, building products that delight our users and drive growth. Your ability to impact Instawork is limited only by your courage and conviction, not your job description.
About Instawork
Founded in 2015, Instawork is the nation’s leading online labor marketplace for food services, hospitality, light industry, and logistics, connecting more than 7M skilled workers with local restaurants, hotels, warehouses, stadiums, and more. Our AI-powered platform serves thousands of businesses across more than 50 major markets in the United States and Canada. We're not just helping fill shifts, we're supporting local economies—and we're just getting started!
Instawork has been featured by CBS News, The Wall Street Journal, The Washington Post, and the Associated Press. Forbes included us on their Next Billion Dollar Startups list; RetailTech Breakthrough named us Workforce Hiring Solution of the Year for 2025; and Inc. 5000 recognized us as one of the country's top 10% fastest-growing companies two years in a row. But what matters most is our impact. We're solving real problems for real people, and we’re doing it at scale.
Join our team to help us build something that matters! We’re looking for superstars who want to help us shape the future of work. With hubs in San Francisco, Bangalore, and Chicago, city offices in New York, Phoenix, and Singapore, we're back to working together in-person five days a week because we believe the best ideas happen when great people collaborate face-to-face. We also value diverse perspectives and encourage applications from candidates of all backgrounds.
Ready to make an impact? Learn more at www.instawork.com/about.
Tags: Airflow Architecture Clustering Computer Science Engineering Generative AI LLMs Machine Learning Mathematics MLFlow ML infrastructure ML models Physics Privacy Prompt engineering Python PyTorch RAG Scikit-learn Spark SQL Statistical modeling Statistics TensorFlow Testing
Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Flex vacation Health care Startup environment
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