Torc Robotics에서 ML 엔지니어를 채용합니다. 자율주행 트럭을 위한 딥러닝 모델 개발 및 ML Ops 워크플로우 구축을 담당합니다. 관련 분야 학사 4년 또는 석사 2년 이상의 경력이 필수입니다. 데이터 분석과 소프트웨어 공학 역량을 갖춘 분을 찾으며, 최신 AI 기술을 실무에 적용하는 도전적인 업무를 수행하게 됩니다.
Remote - US
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.
As a Machine Learning Engineer on the ML Ops team, you will translate ambiguous and complex business problems into machine learning workflows including exploratory data analysis, deep learning model development, batch inference, metric computation, and embedded deployment. Our team is comprised of outstanding engineers with various backgrounds including start up tech sector, physical AI, consumer package goods, Fortune 500 SaaS companies.
The New AI Initiatives, is a role which frequently bounces between topics to both pursue cutting edge technology and see their implementation through to production. As a New Initiatives engineer, you will regularly be working with numerous stakeholders and different teams to ensure Torc embraces state of the art technology.
You will play a key role building the foundation of Torc's AI development tooling.
Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, enforcing version control, and maintaining documentation of created applications.
Operate with Data Ops to define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
Organize and lead projects, serving as project lead guiding less experienced team members in multiple facets of project execution.
Empower users with key insights, supporting visualization and data accessibility in a customer centric manner.
Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
Communicate and collaborate within the team and participate with the team’s interfaces to the rest of the organization.
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:
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)
AD+D and Life Insurance
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.
Job ID: 102743
US Pay Range
$153,200 - $183,800 USD
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