Machine Learning Engineer

Job not on LinkedIn

🔥 12 hours ago

🇨🇦 Canada – Remote

💵 $150k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 1%

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Logo of Helm.ai

Helm.ai

51 - 200 employees

Founded 2016

🚘 Automotive

🏭 Manufacturing

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 Corporate Round - Helm.ai on 2025-10

Automotive • Manufacturing • Artificial Intelligence

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 • Characterize neural network quality, failure modes, and edge cases based on research data • Maintain awareness of current trends in relevant research and technology • Coordinate with researchers and accurately convey experiment status • Manage concurrent experiments and estimate timelines for deadlines • Review experimental results and suggest theoretical or process improvements • Write technical reports with qualitative and quantitative results for external parties

🎯 Requirements

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

🏖️ Benefits

• Competitive health insurance options • 401K plan management • Free lunch and fully-stocked kitchen in our South Bay office • Monthly wellness stipend • Office set up allowance • Company retreats • Opportunity to work on impactful problems

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