Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
About the role
- Senior ML Engineer developing algorithms for road and lane detection in autonomous vehicles. Leveraging state-of-the-art machine learning techniques for high-performance perception systems.
Responsibilities
- Develop efficient pipelines for large-scale data processing and annotation(pseudo-labeling) of sensor data (e.g., LiDAR point clouds, image frames).
- Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness.
- Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency.
- Optimize inference pipelines for embedded and automotive-grade hardware platforms.
- Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems.
- Work with product and operations teams to define performance metrics and improve system reliability.
- Stay updated with the latest advancements in computer vision, Road Lane monocular and BEV models, and autonomous driving technologies.
- Contributing to the model development roadmap and providing strategic advice to technical leadership.
- Mentoring and guiding junior team members to enhance their technical skills and career growth.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Scientific understanding of machine learning for 3D BEV space modeling, including the ability to apply state-of-the-art ML research and methods in production.
- Applied understanding and hands-on expertise in lane and road geometry concepts, multi-camera calibration, and sensor projection.
- Experience with understanding data distributions and analyzing long tail distributions
- Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards.
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.
Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.
Staff ML Engineer at GEICO leading the design and deployment of AI applications. Collaborating with teams to ensure scalability and reliability of generative AI solutions.