Talascend is currently seeking a Perception Machine Learning Engineer for a W-2 contract opportunity located in Newark, California.
LOCATION:
This position is 100% onsite in Newark, CA
SCHEDULE:
- Monday-Friday 40 hours a week with the potential for overtime.
- 18-month contract.
SUMMARY:
We are looking for an experienced Perception Machine Learning Engineer to join our ADAS/Autonomous Driving team. This position requires a highly skilled professional with a strong background in machine learning, computer vision, and perception algorithms, as well as solid programming expertise. As a member of the Perception team, you will research, design, implement, optimize, and deploy state-of-the-art machine learning models that advance perception algorithms for autonomous driving. You will conduct literature reviews, develop and modify models to enhance performance, and contribute to the deployment of these models in production vehicles.
RESPONSIBILITIES:
- Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data.
- Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
- Research and integrate BEV-based transformer models for perception tasks.
- Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
- Test, release, and deploy perception algorithms into our client's production programs.
- Support the validation and verification of perception algorithms using prototype and pre-production vehicles.
- Propose innovative software algorithms to enhance future autonomous driving capabilities.
EDUCATION:
- Bachelor's degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
REQUIREMENTS:
- US Citizen or Green Card Holder.
- 3+ years of relevant work experience.
- Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
- Proficient in Python with a focus on clean, efficient, and scalable software development.
- Proficiency in C with experience writing efficient, maintainable code.
- Comfortable working with large codebases and debugging complex machine learning models.
- Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
- Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
- Excellent communication skills and a strong team player.
PREFERRED QUALIFICATIONS:
- Advanced degrees are preferred.
- Experience developing BEV transformer models for perception.
- Practical, hands-on approach to solving complex problems in autonomous driving.
- Experience in testing and validating perception systems in real-world conditions.
- Experience working in agile development teams.
- Expertise in component and system integration, testing, and verification at the system and vehicle levels.
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Drug Screen may be required.