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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining technical direction and executing roadmaps for advanced machine learning solutions, particularly in reinforcement learning and vision transformers. Capable of leading experimentation, mentoring engineers, and delivering scalable ML models with measurable performance improvements.
Highest-signal resume keywords
Machine Learning ExpertiseVision TransformersPyTorch FrameworkDeep Learning ArchitecturesTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Reinforcement LearningML Model DevelopmentOptimization TechniquesProbabilistic Modeling3D Awareness and Planning
Soft Skills
MentorshipTechnical Guidance
Industry Keywords
Computer VisionMulti-Modal FusionLarge-Scale ML ModelsStructured ExperimentationBenchmarking
Tech Stack
Tools & technologiesPyTorch
About the role
Key responsibilities & impact- Define and drive the technical direction for physical AI algorithms
- Define and execute on a technical roadmap towards state-of-the-art reinforcement learning
- Design, implement, and improve ML / vision transformer models for 3D awareness and planning
- Architect multi-modal fusion approaches to build 3D environments
- Identify larger end-to-end models that should replace traditional approaches
- Apply advanced ML techniques to improve perception performance
- Lead structured experimentation and benchmarking
- Translate research ideas into reliable, scalable ML solutions
- Provide technical guidance and mentorship to perception engineers
Requirements
What you’ll need- 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision
- Deep expertise in modern deep learning architectures
- Strong hands-on experience with PyTorch (or equivalent frameworks)
- Proven experience building and iterating on large-scale ML models
- Strong mathematical foundations in optimization and probabilistic modeling
- Track record of delivering measurable improvements in ML system performance
- Experience guiding technical decisions within a small engineering team
Benefits
Comp & perks- A competitive compensation package
- Time and resources to grow and develop
- Paid leave for learning days
- Paid access to e-learning resources
- Enhanced parental leave
- Paid leave to care for loved ones
- Work flexibility
- Setup budget for home office
- Monthly allowance for extra support
- Options to work from home country and abroad
- Competitive holiday plan
- Extra day off to celebrate your birthday
- Annual events like Hackathon and DevDays
- Inclusive global culture with diverse community