ML Engineer at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

8000000.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Reinforcement Learning, TypeScript, Python, Go, Java, Backend Development, Full-Stack Engineering, PyTorch, Model Training, Model Deployment, Engineering Fundamentals, Codebase Navigation, Testing, Infrastructure Manipulation, Development Tools

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 8000000 (ie INR 25-80 LPA) Min Experience: 3 years Location: Remote (India) JobType: full-time We are seeking exceptional full-stack ML engineers who can work independently, navigate complex systems, and contribute to building advanced environments used for training next-generation coding agents. What We’re Looking For Experience working in small, high-ownership environments (e.g., early-stage startup, founding engineer, CTO). Deep expertise in at least one core stack: TypeScript / Python / Go / Java — with a strong preference for backend experience and familiarity with TypeScript. Background as a product engineer, platform engineer, or ML engineer (not infrastructure-only or data-science-only profiles). Ability to understand, reason about, and solve difficult technical problems independently, while also effectively using tools like Cursor to accelerate development. Strong engineering fundamentals and comfort navigating large, unfamiliar codebases quickly. What You Will Do Build reinforcement learning environments and sandboxes used by major AI labs to train advanced coding agents. Onboard to a new codebase every 1–1.5 months, develop a deep understanding of it, and construct RL tasks on top of it. Design engineering challenges, create mocks, write robust tests, and manipulate infrastructure components as needed to build realistic RL scenarios. Develop tools, utilities, and agent-support systems that make environment creation faster and more efficient for the entire engineering team. Work across full-stack components where required, while focusing heavily on backend logic and environment behavior. Why You Should Join Join an extremely talented and deeply technical founding team with strong backgrounds in engineering, reinforcement learning, and startup building. Be part of a mission to build one of the most talent-dense engineering teams in India. Work closely with the founders on a daily basis in a high-ownership, high-trust environment. Opportunity to work on some of the most exciting problems in the AI ecosystem and contribute directly to the evolution of agentic systems. Competitive compensation and the chance to be part of a rapidly scaling, high-momentum company backed by top-tier global investors. In-person office being set up in Bangalore, with flexibility for exceptional remote candidates. Skills PyTorch Training ML models Deploying ML models Backend fundamentals (TypeScript / Python / Go / Java) Full-stack engineering (as needed)

Responsibilities

Build reinforcement learning environments and sandboxes for training advanced coding agents. Onboard to new codebases, develop understanding, and create RL tasks.