Senior ML Engineer

Reposted 25 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
In-Office
Senior level
eCommerce • Food • HR Tech • Information Technology • Mobile • Retail • Software
Instawork is the leading flexible staffing solution that connects businesses with more than one million hourly workers.
The Role
Design and implement machine learning algorithms, collaborate with teams, and optimize workforce scheduling and performance monitoring.
Summary Generated by Built In

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.

Instawork’s mission is to create economic opportunities 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. 

We need an innovative Senior Machine Learning Engineer to join our growing team.  While we have a team in the US, this role will be the founding ML engineer in APAC and thus can help set the direction and vision for ML in the region.

Who You Are:

  • 6-10 years of experience building machine learning models for business applications
  • Entrepreneurial mindset with a mix of startup and large scale experience, bonus points for being a co-founder
  • Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applications
  • Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks
  • Strong communication and presentation skills with a natural executive presence
  • Expert level fluency using languages like Python & SQL to manipulate data and draw insights from large data sets
  • Working knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc.
  • Strong understanding of DBT or other similar data transformation/organization methodologies
  • Experience with BI tools (e.g. Mode, Tableau, Looker)
  • B.Tech/ B.E or BS/B.Sc in Math, Statistics, Physics, Computer Science, or other quantitative fields.

What You'll Do:

  • Design, develop, and implement machine learning algorithms to solve complex problems in real-time scheduling and workforce optimization
  • Initially, you’ll work closely with a US-based team for 1-2 quarters to build knowledge before immersing more in APAC-focused projects.  Flexibility to work some mornings or evenings will be necessary during this period.
  • Impact key company objectives by working closely with Product to refine our roadmap
  • Build/maintain reports, dashboards, and metrics to monitor the performance of our products
  • Gather, clean, and prepare large datasets for machine-learning models
  • Build and maintain machine learning pipelines that are robust, scalable, and efficient
  • Collaborate with cross-functional teams to integrate machine learning solutions into production systems
  • Monitor and evaluate the performance of machine learning models and make continuous improvements

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.

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Top Skills

Bi Tools
Dbt
Python
SQL

What the Team is Saying

Ashwini Batrahalli
Vinayak
Jagdish Das
Avantika Garg
Geraldine Cortez
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The Company
HQ: San Francisco, CA
400 Employees
Year Founded: 2015

What We Do

Our digital marketplace connects thousands of businesses and more than six million workers, actively working to help bridge the labor demand/supply gap. Instawork helps businesses in food & beverage, hospitality, and warehouse/logistics industries fill temporary and permanent roles in more than 40 U.S. markets.

We have been fortunate to be funded by world-class investors in Silicon Valley including: Benchmark (Bill Gurley), Y Combinator, Spark Capital, Google Ventures, Greylock Capital, Four Rivers Group, Craft Ventures, and many more. Leveraging our accelerated growth, we will continue to expand throughout the U.S. and globally in order to revolutionize the labor market.

Instawork recently raised $60 million in Series D financing, bringing a total funding to over $160 million. The new funding round allows Instawork to accelerate investment in its AI-powered mobile app and platform that connects over 6 million skilled hourly workers with tens of thousands of businesses.

Our values help us craft impactful products and be extraordinary colleagues to each other:

Empathy, Trust, and Candor
Being empathetic helps build trust in our community and company, and fosters successful decision-making.

Always Be Learning
We learn eagerly, from different teams within and outside the company. Respectful debate makes our company stronger.

Act Like an Owner
We have a strong ownership mentality. Every person on the team has the potential to make a huge impact.

Bias for Action
We practice high-velocity decision-making, despite encountering ambiguity frequently.

Why Work With Us

Our team is composed of talented individuals who are passionate about our mission, continuously learning from one another and encouraging each other to achieve their full potential. We believe that failure is not a setback, but an opportunity to learn and apply those lessons toward future growth. We also make sure to have some fun along the way.

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Instawork Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We ask that all employees near a hub location come into the office Mondays, Tuesdays, and Thursdays.

Typical time on-site: 3 days a week
HQSan Francisco, CA
Company Office Image
Singapore, Singapore
Company Office Image
Bangalore Office
Chicago, IL
Culver City, CA
New York, NY
Phoenix, AZ
Learn more

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