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Sr. Machine Learning Engineer, Planning

Remote: 
Full Remote
Contract: 
Salary: 
177 - 213K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Master’s degree in Computer Science or equivalent, 3+ years of relevant experience, Deep understanding of machine learning frameworks like TensorFlow or PyTorch, Experience in production environment with machine learning, Hands-on experience with prediction, planning, and control.

Key responsabilities:

  • Design, develop, optimize, and deploy ML models for trajectory planning
  • Collaborate with data scientists and engineers to improve model efficacy
  • Maintain software quality and efficiency in development
  • Participate in technical discussions and team meetings
  • Provide mentorship and guidance to junior team members
Torc Robotics logo
Torc Robotics SME https://torc.ai/
501 - 1000 Employees
See more Torc Robotics offers

Job description

About the Company

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.

Meet the team:  

As part of an organization at the forefront of autonomous driving, we develop trajectory prediction & planning networks that enable the truck to make data-driven decisions to the scene around it. The Learned Vehicle Intent team works in partnership with Perception and Control teams to plan out the safest possible trajectory given the traffic, weather and environment around the truck. 

What you’ll do:     

Design, develop, optimize and deploy machine learning models for trajectory planning in our autonomous trucks. The Senior ML Engineer will work closely with the rest of the machine Learning teams and the Vehicle Intent Department to advance our capabilities in time-series forecasting for autonomous driving. The candidate will participate in all aspects of the software lifecycle, from defining the requirements, planning and designing the model, to implementing and testing, and finally, deployment and maintenance. 

  • Produce production deployed models and software 
  • Contribute to the research, development, and improvement of machine learning models for end-to-end prediction, and planning 
  • Collaborate with data scientists and other engineers to evaluate and improve the efficacy of these models 
  • Develop software that is robust, efficient, and maintainable, always ensuring software quality 
  • Participate in team meetings to share progress, collaborate on new ideas, and address any challenges 
  • Stay updated on the latest developments in machine learning and autonomous driving. Evaluate how these can be utilized in our system 
  • Work closely with the Vehicle Intent, Sensing and Understanding, and other autonomy teams to align on objectives and deliverables 
  • Participate in technical discussions, brainstorming sessions, and other team meetings 
  • Develop and maintain thorough documentation for all developed models and associated code 
  • Provide mentorship and technical guidance to junior team members 

 

What you’ll need to succeed:     

  • Master’s degree in computer science, computer engineering, or engineering equivalent and 3+ years of relevant experience    
  • Deep understanding of machine learning frameworks such as TensorFlow or PyTorch 
  • Experience involving machine learning or related fields in a production environment 
  • Hands-on experience with learning-based prediction, planning and control 
  • Experience in autonomous driving systems, sensor fusion, and perception is a plus 
  • Adept communication skills, able to articulate complex concepts to diverse audiences 
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment 
  • Advanced knowledge contributing to engineering and process creation and maintenance 
  • Excellent time management and organizational skills to plan, develop, and prioritize effectively 
  • May require occasional travel to other sites  
  • Continuous technical education and training is required to stay updated in the field of machine learning and autonomous driving. 
  • Ability to be flexible and may work extended hours/weekends/evenings when project demands 
  • Ability to work and collaborate across locations over different time zones 

 

Bonus Points!     

  • Doctorate Degree in Computer Science, Computer Engineering, Robotics, or equivalent with 2+ years relevant experience 
     

Perks of Being a Full-time Torc’r    

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)     
  • Company-wide holiday office closures      
  • AD+D and Life Insurance 

 

Hiring Range for Job Opening 
US Pay Range
$177,300$212,800 USD

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. 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Depth Perception
  • Problem Solving
  • Organizational Skills
  • Physical Flexibility
  • Verbal Communication Skills

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