Machine Learning Engineer

🕒 February 25

🇺🇸 United States – Remote

💵 $150k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Helm.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🚗 Transport

🤝 B2B

🔥 Funding within the last year

💰 Corporate Round - Helm.ai on 2025-10

Artificial Intelligence • Transport • B2B

Helm. ai is an AI-first autonomy software company that builds vision-only, production-ready perception and autonomy stacks and generative-simulation foundation models for ADAS through Level 4 autonomous driving. The company provides on-vehicle real-time software (Helm. ai Vision, Helm. ai Driver) and offline training/validation tools (GenSim-2, VidGen-2, WorldGen-1) trained with its Deep Teaching™ unsupervised learning and generative AI to scale training, simulation, corner-case resolution, and deployment for production-bound projects. Helm. ai partners with global automakers such as Honda and Volkswagen to deliver scalable, vision-first autonomous driving solutions.

📋 Description

• Collaborate with researchers to perform research operations using existing infrastructure • Use judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems • Characterize neural network quality, failure modes, and edge cases based on research data • Maintain awareness of current trends in relevant areas of research and technology • Coordinate with researchers and accurately convey status of experiments • Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines • Review experimental results and suggest theoretical or process improvements for future iterations • Write technical reports indicating qualitative and quantitative results to external parties

🎯 Requirements

• A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it! • Proficiency in Python • Proven ability to thrive in fast-paced environment • Ability to communicate complex technical concepts to colleagues and a variety of audience • Introspection, thoughtfulness, and detail-orientation • Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field (a plus) • Experience reading research papers and implementing the techniques therein (a plus) • Computer vision and deep learning experience (a plus)

🏖️ Benefits

• Competitive health insurance options • 401K plan management • Free lunch and fully-stocked kitchen in our South Bay office • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale • The opportunity to work on one of the most interesting, impactful problems of the decade