Torc Robotics에서 자율주행 트럭을 위한 MLOps 프레임워크를 설계하고 구축할 시니어 ML 엔지니어를 찾습니다. Ray, PyTorch, AWS 환경에서의 대규모 분산 학습 경험이 필수입니다. ML 파이프라인의 전 과정을 최적화하고 사내 개발자들의 생산성을 높이는 핵심 역할을 수행하게 됩니다. 자율주행 기술의 상용화를 이끌어갈 역량 있는 분들의 많은 지원 바랍니다.
Remote - US, Ann Arbor, MI
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale. We are the team responsible for enabling the full ML experimentation process, from ideation to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format. We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight.
You will work to build, maintain and improve our Torc ML frameworks including the following tools:
Cloud tooling
Terraform, AWS Managed Services, EKS, Ray
Data ops
Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
ML Development pipeline
Python, Ray, PyTorch, Lightning, Gymnasium
Logging & aggregation, Experiment tracking, Model registry & lineage
Visualization & dashboarding (e.g., tableau, voxel51, rerun)
Design organization wide systems and platforms for ML Ops.
Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.
Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
Experience with large scale distributed training, specifically working with Ray.
You are well versed in open-source software and make contributions.
You have built ML solutions that have reached production
You feel comfortable with the data science and ML iteration/lifecycle.
You can balance multiple stakeholders when designing components of the ML development lifecycle.
Ideal: You are familiar with model optimizations/compression for edge deployment.
You have familiarity with compute and data platforms
You understand how to build ML systems that scale.
You have experience making tradeoffs for speed of development.
You want to build, maintain, grow, and improve our ML platform
You know that a healthy software deployment requires mature software practices
Ideal: You love to speak with users and help them reach their goals
Experience in the autonomous vehicle (L4) or adjacent industry.
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
$199,200 - $298,800
Job ID: 102397
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