Full Stack Engineer, ML Data & Evaluations

Sunday1 months ago

Location

Redwood City, CA

Type

Full Time

Salary

USD 150,000 – 220,000

Level

Senior

Role

Full Stack Engineer

Posted

Feb 19, 2026

Full TimeSenior

The role

Summary

Sunday is seeking a Full Stack Engineer specializing in ML Data & Evaluations to build critical infrastructure for robotic intelligence. The ideal candidate will develop interactive data systems, evaluation tools, and data processing services that power the company's next-generation home robotics platform.

What you'll do

Interactive Data Systems: Architect interfaces and engines that unify robot and Skill Capture Gloves™ data, enabling sophisticated human-in-the-loop workflows for robotic task execution and intervention.

Evaluation & Benchmarking: Develop high-performance tools to compare model-driven motion against human-captured ground truth, quantifying model progress across diverse robotic tasks.

Data Processing & Orchestration: Design processing services that transform raw sensor and capture data into machine learning-ready formats, ensuring seamless data flow from global collection systems to robotic models.

Platform Flexibility: Demonstrate adaptability by shifting priorities and domains within the tech stack as the company scales and evolves.

What we look for

Technical

Full-Stack DevelopmentProven experience building cloud-native applications with modern frontend and backend technologies

Programming LanguagesProficiency in React, TypeScript, Node.js, and Python

ML InfrastructureExperience with ML observability, data transformation, and experiment tracking platforms

Education

Computer ScienceBachelor's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Professional Experience3+ years of full-stack development experience with cloud-native applications

ML Platform ExperienceBackground in building high-throughput internal tooling or human-in-the-loop platforms

Skills

Required skills

Cloud-Native DevelopmentStrong ability to build scalable, modern web applications

Data ProcessingExpertise in transforming raw data into structured, machine learning-ready formats

Frontend DevelopmentAdvanced skills in React and TypeScript for creating interactive interfaces

Backend DevelopmentRobust backend development skills using Node.js and Python

Nice to have

Startup ExperiencePrevious work as an early-stage startup employee, capable of defining roadmaps without existing blueprints

ML Experiment TrackingFamiliarity with tools like Weights & Biases, MLFlow, or similar frameworks

Multi-Modal DataExperience handling and processing large-scale, multi-modal datasets

Compensation & benefits

Salary

USD 150,000 – 220,000 (annual)

Stock options

Available

Benefits

Equal Opportunity Employer

Committed to diversity and inclusive hiring practices

Innovative Work Environment

Opportunity to work on cutting-edge home robotics technology

Interview process

1
Initial Application Review — Screening of candidate's background and qualifications
2
Technical Interview — In-depth discussion of technical skills, experience with ML platforms, and full-stack development
3
Coding Challenge — Practical assessment of coding abilities and problem-solving skills
4
Onsite or Virtual Interviews — Meetings with team members and leadership to assess cultural fit and technical expertise