Machine Learning Engineer

Job not on LinkedIn

September 12

Apply Now
Logo of Helm.ai

Helm.ai

Artificial Intelligence • Transport • Automotive

Helm. ai is an innovative technology company providing full-stack artificial intelligence solutions for autonomous driving systems, ranging from Advanced Driver Assistance Systems (ADAS) to Level 4 autonomous driving. The company develops AI-based simulation and validation tools, such as Gensim-1 and Vidgen-2, to aid in the creation and testing of autonomous vehicles. Helm. ai offers production-grade perception software utilizing deep neural networks for path prediction and human-like driving maneuvers. Their technology aims to reduce development costs and accelerate market readiness for automakers, with solutions adaptable to various geographies and driving conditions.

11 - 50 employees

🤖 Artificial Intelligence

🚗 Transport

📋 Description

• Collaborate with researchers to perform research operations using existing infrastructure • 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 • Use judgment in complex scenarios and apply standard techniques to a wide variety of technical problems

🎯 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, not required) • Experience reading research papers and implementing the techniques therein (a plus, not required) • Computer vision and deep learning experience (a plus, not required)

🏖️ 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 • Compensation may include additional compensation in the form of equity or a bonus/commission

Apply Now

Similar Jobs

September 12

Pierce Professional Resources

11 - 50

🏢 Enterprise

🎯 Recruiter

MLOps Engineer building production ML infrastructure and pipelines for modern AI applications, enabling model deployment, observability, and agent orchestration.

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

September 10

Diligent Robotics

2 - 10

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

Design and operate cloud-based ML and fleet automation for Diligent Robotics' service robots; improve monitoring, provisioning, and SRE practices.

🇺🇸 United States – Remote

💰 $30M Series B on 2022-04

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

September 9

Glydways

51 - 200

🚗 Transport

🤖 Artificial Intelligence

👥 B2C

Senior ML platform engineer building perception data, ETL, training, and deployment pipelines for Glydways' autonomous transit system.

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

September 9

OneStudyTeam

201 - 500

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

Senior Machine Learning Engineer building scalable ML and LLM products to accelerate clinical trials and improve patient outcomes at OneStudyTeam.

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

September 8

Launch Potato

51 - 200

📱 Media

👥 B2C

Lead ML engineering team building large-scale personalization systems at Launch Potato. Architect multi-stage ranking systems and mentor engineers.

🇺🇸 United States – Remote

💵 $130k - $250k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

Developed by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com