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Machine Learning EngineerThe TalentHaus • New York, New York, United States
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Machine Learning Engineer

The TalentHaus
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

This range is provided by The TalentHaus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$200,000.00/yr - $300,000.00/yr Additional compensation types
Annual Bonus and RSUs Now Hiring: Machine Learning Engineer II (Autonomous Vehicles / Robotics) | Remote About the Company We're building the next generation of autonomous mobility systems to redefine how people and goods move through the world. Our platform powers fleets of self-driving vehicles operating in dynamic urban environments, and our machine learning team is at the core of this mission by developing scalable, production-grade models that enable real-time perception, prediction, and decision-making. As an MLE II, you'll contribute to building end-to-end ML systems for large-scale autonomy in designing, training, deploying, and optimizing models that allow vehicles to perceive their environment, anticipate intent, and respond safely and intelligently. What You’ll Do Design, train, and deploy deep learning models for real-time perception tasks (e.g., object detection, semantic segmentation, sensor fusion, depth estimation). Build predictive modeling systems for behavior forecasting of pedestrians, cyclists, and vehicles. Optimize and scale ML pipelines across edge and cloud environments using tools like TensorRT, ONNX, and ROS. Contribute to data-centric AI efforts by developing labeling strategies, data augmentation techniques, and automated validation tools. Collaborate cross-functionally with robotics, software, and hardware teams to ensure model performance in simulation and on-vehicle testing. Conduct rigorous evaluations of model robustness, safety, and explainability in diverse edge cases. Participate in architecture reviews and actively shape the evolution of our ML infrastructure and tooling. 5+ years of experience in applied machine learning or deep learning (preferably in AV, robotics, or embedded systems). Proficiency with modern ML frameworks such as PyTorch or TensorFlow, and strong coding skills in Python and/or C++. Experience building and deploying computer vision models using camera, LiDAR, and radar data. Familiarity with 3D perception, point cloud processing, Kalman filtering, or multi-sensor fusion algorithms is a strong plus. Comfortable working with large-scale datasets, distributed training (e.g., PyTorch DDP or Ray), and GPU optimization techniques. Experience with edge deployment frameworks (TensorRT, TVM, ONNX) and embedded hardware constraints is preferred. Solid understanding of statistical modeling, overfitting/underfitting trade-offs, and model debugging techniques. Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field; PhD a plus but not required. Work on real-world systems at the forefront of autonomous mobility Collaborate with world-class researchers, engineers, and roboticists Access to cutting-edge hardware, large-scale data, and live vehicle fleets Competitive compensation, bonus + equity, and benefits in a fast-moving startup backed by top-tier investors Mission-driven culture focused on safety, innovation, and impact Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at The TalentHaus by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Child care support Paid paternity leave Tuition assistance Get notified about new Machine Learning Engineer jobs in
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  • New York, New York, United States

Compétences linguistiques

  • English
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