Perception Machine Learning Engineer
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.
We will consider qualified applicants with a criminal history pursuant to Federal, State and Local law, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance and the San Francisco Fair Chance Ordinance. You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Talascend is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. Applicants with criminal histories are encouraged to apply. To find out more visit California Fair Chance Act.
Pay range is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. Talascend also offers a variety of benefits including: health and disability insurance, 401(k), EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, plan requirements, schedule type, and client work site mandates.
Talascend is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.