Machine Learning Lead - Instawork Robotics at Instawork

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, TechnologyIndustries

Requirements

Mid-career developer with at least 8 years of programming and/or engineering leadership experience, excluding internships
Machine learning expert with a Master’s or PhD in an AI or ML-related field and at least 2 years of professional experience building ML or CV models for robotics or autonomous vehicle applications
Experienced with data pipelines, with expertise in distributed systems, cloud computing on AWS infrastructure, and scalable data processing for large-scale datasets
Background in identifying and translating techniques from academic research and frontier labs into production systems
Problem-solver who enjoys building new-to-world systems, sharing technical expertise, and applying creativity and grit
Nice-to-haves
5+ years experience designing or architecting production distributed systems
Experience as an engineering team leader or software development manager
Experience shipping production code at an early-stage or mid-stage startup
Comfort and presence leading technical discussions with external partners and customers

Responsibilities

Plan, architect, and build the data labeling and enrichment pipeline at the foundation of Instawork Robotics’ data offering
Identify and implement continuous improvements to the data pipeline to improve efficiency, scalability, and quality
Develop methodologies and analytics to measure the quality and performance of the dataset and ML models
Stay on top of academic research and industry best practices related to robotics learning and training
Work closely with robotics leadership, data ops, QA, and other engineering teams to ensure alignment from concept to deployment
Guide mid and senior-level engineers through code reviews, pair programming, and architectural discussions, raising the technical bar across the organization

Skills

Key technologies and capabilities for this role

Machine LearningComputer VisionRoboticsAutonomous VehiclesData PipelinesDistributed SystemsAWSCloud ComputingScalable Data ProcessingProduction ML Systems

Questions & Answers

Common questions about this position

What education and experience are required for the Machine Learning Lead role?

Candidates need a Master’s or PhD in an AI or ML-related field, at least 8 years of programming and/or engineering leadership experience (excluding internships), and 2 years building ML or CV models for robotics or autonomous vehicles.

What technical skills are essential for this position?

Expertise in data pipelines, distributed systems, cloud computing on AWS infrastructure, and scalable data processing for large-scale datasets is required.

Is this role remote or location-specific?

The job is for CA based applicants, suggesting it requires being based in California.

What does the role involve in terms of leadership and collaboration?

You'll mentor mid and senior-level engineers through code reviews, pair programming, and architectural discussions, while collaborating cross-functionally with robotics leadership, data ops, QA, and other teams.

What makes a strong candidate for this Machine Learning Lead position?

Strong candidates are innovators who translate academic research into production systems, problem-solvers building new-to-world systems, and those with leadership experience sharing expertise; nice-to-haves include 5+ years in distributed systems, team leadership, startup shipping, and leading technical discussions.

Instawork

Connects businesses with vetted hourly workers

About Instawork

Instawork connects businesses with over 5 million vetted short-term, seasonal, and temp-to-hire workers through its online platform. It primarily serves companies looking for hourly workers, offering a solution that is more efficient than traditional staffing agencies. The platform features an intelligent matching system that pairs businesses with suitable workers from its extensive database, supported by a rigorous vetting process to ensure reliability. This has led to a high demand for Instawork's workers, with 93% of businesses wanting them to return and a low 2% no-show rate. Businesses can view worker profiles and experience before they pick up shifts, and those looking for full-time employees can also search and hire from the database. Instawork generates revenue by charging businesses for connecting them with workers, and its importance grew during the pandemic, solidifying its market position.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$144MTotal Funding

SERIES_DCompany Stage

Consulting, Consumer SoftwareIndustries

1,001-5,000Employees