Senior Machine Learning Engineer - Behaviors (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer - Behaviors in the United States.

As a Senior Machine Learning Engineer specializing in behavioral modeling, you will drive the development and deployment of advanced ML models that enable autonomous vehicles to navigate safely and efficiently. You will work closely with a team of engineers and research scientists to design, train, and evaluate neural networks for scene understanding, behavior prediction, and motion planning. Your contributions will directly influence the performance and safety of autonomous systems in real-world environments. The role requires creative problem-solving, rigorous experimentation, and continuous collaboration with cross-functional teams. You will stay at the forefront of machine learning research while applying your expertise to high-impact, real-world applications. This position offers a challenging, intellectually stimulating environment with opportunities for career growth and remote work flexibility.

Accountabilities:

• Design, implement, and evaluate ML models for scene understanding, behavior prediction, and autonomous vehicle planning.
• Conduct high-value experiments, prototype model architectures, and iterate on metrics to improve model performance.
• Analyze offline and on-road evaluation data to inform model updates and deployment decisions.
• Maintain high-quality training and evaluation codebases, including dataset generation and evaluation pipelines.
• Stay current with state-of-the-art ML and deep learning research, proposing novel approaches for model improvement.
• Collaborate with engineering and research teams to ensure smooth integration and deployment of models.
• Mentor team members and contribute to a culture of knowledge sharing and continuous learning.

Requirements

• Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience.
• Proven experience designing, training, and analyzing neural networks for motion planning, object detection, sensor fusion, motion prediction, or multi-object tracking.
• Strong software engineering skills, including code design, source control, build processes, testing, and reviews.
• Proficiency in Python-based deep learning frameworks such as PyTorch.
• Experience working with large datasets and deriving actionable insights from complex data.
• Demonstrated ability to solve ambiguous problems efficiently and deliver high-quality results.
• Strong collaboration and mentoring skills within technical teams.

Preferred Qualifications:

• Publications in relevant ML or computer vision conferences (CVPR, ICML, NeurIPS, ICCV).
• Experience with autonomous vehicles or deploying ML models in real-world environments.
• Strong programming skills in C++ and/or CUDA.

Benefits

• Competitive salary range ($146,000–$225,000), dependent on location, experience, and expertise.
• Remote work flexibility within the United States with occasional travel.
• Comprehensive health, dental, and vision coverage.
• 401(k) retirement plan with company match.
• Life insurance and other financial wellness benefits.
• Equity opportunities and eligibility for discretionary bonuses.
• Access to professional development and a collaborative, innovative work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team.

Thank you for your interest!