Torcrobotics

<div>
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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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. 
</div>
<div>Meet the Team: As a Senior Machine Learning Engineer – End-to-End (E2E), you will develop and scale learning-based systems that connect multi-modal perception inputs to driving behavior, enabling safe, efficient, and human-like autonomy for real-world freight operations. You’ll work at the intersection of perception, prediction, and planning, contributing to unified learning pipelines that operate in closed-loop environments. This role focuses on owning meaningful portions of the E2E stack, improving model performance at scale, and driving iteration through data, experimentation, and cross-functional collaboration. This is a hands-on engineering role focused on execution, iteration, and delivery. What You’ll Do</div>
<ul>
<li>Own development and delivery of End-to-End ML models that map multi-modal sensor inputs (camera, LiDAR, radar, maps) to driving-relevant outputs (trajectories, cost functions, or intermediate representations)</li>
<li>Train and evaluate models using large-scale datasets from fleet logs, simulation, and synthetic data</li>
<li>Analyze model performance, identify failure modes, and drive data-driven improvements in robustness and generalization</li>
<li>Design and refine training pipelines, data workflows, and evaluation strategies to improve iteration speed and model quality</li>
<li>Contribute to model architecture decisions, including approaches such as imitation learning, reinforcement learning, transformers, and vision-language-action (VLA) models</li>
<li>Collaborate closely with Perception, Prediction, Planning, and Simulation teams to ensure alignment across the autonomy stack</li>
<li>Support integration of E2E models into simulation and on-vehicle systems for closed-loop validation</li>
<li>Improve tooling, experimentation workflows, and reproducibility across the team</li>
<li>Mentor junior engineers and contribute to team-level best practices and technical discussions</li>
</ul>
<div>What You’ll Need to Succeed</div>
<ul>
<li>Bachelor’s degree with 6+ years, Master’s with 3+ years, or PhD with 1+ years of experience in Machine Learning, Robotics, Computer Science, or a related field with a track record of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)</li>
<li>Experience developing and deploying ML models for autonomous systems, robotics, or complex decision-making environments</li>
<li>Strong programming skills in Python and PyTorch, with ability to write production-quality ML code</li>
<li>Experience training and evaluating models using large-scale datasets and distributed compute environments</li>
<li>Solid understanding of ML architectures used in E2E systems, such as Transformers, BEV models, VLA/VLM approaches, or diffusion models</li>
<li>Proven ability to debug model behavior, analyze performance metrics, and drive iterative improvements</li>
<li>Experience contributing to or influencing model architecture and training strategies</li>
<li>Ability to work cross-functionally and integrate ML systems into larger autonomy pipelines</li>
</ul>
<div>Bonus Points</div>
<ul>
<li>Experience developing End-to-End or mid-to-end models for autonomous driving or robotics</li>
<li>Experience with vision-language models (VLMs) or vision-language-action (VLA) systems</li>
<li>Familiarity with closed-loop simulation and evaluation frameworks</li>
<li>Experience with reinforcement learning or imitation learning in real-world systems</li>
<li>Experience with distributed training frameworks (e.g., Ray)</li>
<li>Understanding of vehicle dynamics, motion planning, or multi-agent systems</li>
</ul>
Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees   </li>
<li>401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures</li>
<li>AD+D and Life Insurance  </li>
</ul>
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: 102665<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$226,400—$271,700 USD</div></div></div>

Senior, Machine Learning Engineer - End-to-End

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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
Torc's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Senior Machine Learning Engineer – 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities, developing production machine learning solutions that improve environmental understanding, model robustness, and system performance across Torc's autonomy stack.
What You'll Do
<ul>
<li>Design, develop, and deploy production machine learning models supporting Torc's perception systems.</li>
<li>Own end-to-end model development for scoped perception problem areas, from data preparation and training through evaluation and deployment.</li>
<li>Write production-quality ML code to support scalable training, evaluation, and inference workflows.</li>
<li>Analyze model performance, identify failure modes, and iterate to improve robustness, accuracy, and generalization across diverse driving environments.</li>
<li>Develop and optimize perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.</li>
<li>Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production autonomy software.</li>
<li>Support improvements to training pipelines, data workflows, and tooling that accelerate model iteration and deployment.</li>
<li>Contribute to model architecture discussions and technical decision-making within the team.</li>
<li>Mentor junior engineers on implementation, experimentation, and machine learning best practices.</li>
</ul>
What You'll Need to Succeed
<ul>
<li>Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master's degree with 3+ years, OR Ph.D. with 1+ years of experience.</li>
<li>Experience developing production machine learning models for computer vision, perception, robotics, or autonomous systems.</li>
<li>Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.</li>
<li>Experience training, evaluating, and improving deep learning models using large-scale datasets.</li>
<li>Experience working with image-based and/or 3D perception systems.</li>
<li>Strong understanding of deep learning architectures commonly used for perception applications.</li>
<li>Experience debugging model behavior, analyzing performance metrics, and improving model reliability.</li>
<li>Ability to translate ambiguous perception challenges into practical machine learning solutions and deliver results independently.</li>
<li>Experience collaborating cross-functionally to integrate ML models into larger software systems.</li>
</ul>
Bonus Points
<ul>
<li>Experience developing perception systems for autonomous driving or robotics.</li>
<li>Experience with LiDAR, point cloud processing, sensor fusion, or other 3D perception techniques.</li>
<li>Experience with temporal perception models or video-based learning.</li>
<li>Experience with C++, ROS, or robotics software development.</li>
<li>Experience deploying machine learning models into production autonomy or robotics platforms.</li>
<li>Experience working with large-scale perception datasets and distributed training environments.</li>
<li>Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.</li>
<li>Experience improving ML tooling, infrastructure, or developer workflows to accelerate model iteration.</li>
</ul>
Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees   </li>
<li>401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures</li>
<li>AD+D and Life Insurance  </li>
</ul>
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: 102824<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$177,300—$212,800 USD</div></div></div>

Senior, Machine Learning Engineer - 3D Perception

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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
Torc's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.
As a Machine Learning Engineer II – 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc's autonomy stack.
<h3>What You'll Do</h3>
<ul>
<li>Design, develop, and improve machine learning models supporting Torc's perception systems.</li>
<li>Own model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.</li>
<li>Write production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.</li>
<li>Analyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.</li>
<li>Develop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.</li>
<li>Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.</li>
<li>Contribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.</li>
<li>Participate in model architecture discussions and contribute technical recommendations within the team.</li>
<li>Lead small technical initiatives or model components with guidance from senior engineers.</li>
<li>Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.</li>
<li>Document technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.</li>
</ul>
What You'll Need to Succeed
<ul>
<li>Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of relevant industry experience, OR Master's degree with 3+ years of relevant experience, or equivalent practical experience.</li>
<li>Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.</li>
<li>Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.</li>
<li>Experience training, evaluating, and improving deep learning models using large-scale datasets.</li>
<li>Experience working with image-based and/or 3D perception systems.</li>
<li>Solid understanding of deep learning architectures commonly used for perception applications.</li>
<li>Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements.</li>
<li>Ability to independently execute complex machine learning work within well-defined problem areas.</li>
<li>Experience collaborating cross-functionally to integrate machine learning models into larger software systems.</li>
<li>Strong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.</li>
</ul>
Bonus Points
<ul>
<li>Experience developing perception systems for autonomous driving, robotics, or ADAS.</li>
<li>Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.</li>
<li>Experience with temporal perception models or video-based learning.</li>
<li>Experience with C++, ROS, or robotics software development.</li>
<li>Experience deploying machine learning models into production autonomy or robotics platforms.</li>
<li>Experience working with large-scale perception datasets and distributed training environments.</li>
<li>Familiarity with perception evaluation frameworks, model validation, and performance benchmarking.</li>
<li>Experience improving ML tooling, automation, training workflows, or experimentation infrastructure.</li>
<li>Experience leading a small technical initiative or owning a production ML component from development through deployment.</li>
</ul>
Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees   </li>
<li>401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures</li>
<li>AD+D and Life Insurance  </li>
</ul>
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: 102882<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$153,200—$183,800 USD</div></div></div>

Machine Learning Engineer, II - 3D Perception

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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 a Machine Learning Engineer on the ML Ops Framework &amp; Conversion team, you will support the day-to-day operations that keep Torc's model development ecosystem running smoothly. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale. In this role, you will provide general MLOps support to model development teams, helping triage issues, maintain pipelines, and ensure engineers have what they need to move fast. You'll gain broad exposure across the ML stack and grow alongside a team working on some of the most complex model infrastructure in autonomous trucking.
What You’ll Do 
<ul>
<li>Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.</li>
<li>Assist in debugging model development workflows and identifying root causes across the ML stack.</li>
<li>Collaborate with senior engineers to improve tooling, documentation, and operational processes.</li>
<li>Communicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization. </li>
</ul>
What You’ll Need to Succeed 
<ul>
<li>Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience</li>
<li>Proficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.</li>
<li>Experience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration.</li>
<li>Strong debugging and problem-solving skills with an ability to triage issues under pressure.</li>
<li>Clear communicator who can work across teams and translate technical issues for different audiences.</li>
</ul>
Bonus Points 
<ul>
<li>Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).</li>
<li>Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker).</li>
<li>Infrastructure-as-code experience (Terraform).</li>
<li>Experience with edge deployment or embedded hardware.</li>
<li>Exposure to autonomous driving or robotics ML workflows.</li>
</ul>
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options </li>
</ul>
<ul>
<li>100% paid medical, dental, and vision premiums for full-time employees </li>
</ul>
<ul>
<li>401K plan with a 6% employer match </li>
</ul>
<ul>
<li>Flexibility in schedule and generous paid vacation (available immediately after start date) </li>
</ul>
<ul>
<li>AD+D and Life Insurance </li>
</ul>
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. 
Hiring Range for Job Opening  
US Pay Range 
$132,400  - $ USD 
Job ID:  102940

ML Engineer, I - MLOps Framework

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. <a href="https://torc.ai/daimler-testing-automated-trucks-public/" rel="noopener noreferrer ugc" target="_blank">Now a part of the Daimler family</a>, 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 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. 
What You’ll Do 
<ul>
<li>You will play a key role building the foundation of Torc's AI development tooling.</li>
<li>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.</li>
<li>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.</li>
<li>Organize and lead projects, serving as project lead guiding less experienced team members in multiple facets of project execution</li>
<li>Empower users with key insights, supporting visualization and data accessibility in a customer centric manner.</li>
<li>Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.</li>
<li>Communicate and collaborate within the team and participate with the team’s interfaces to the rest of the organization.</li>
</ul>
What You’ll Need to Succeed 
<ul>
<li>Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;</li>
<li>Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.</li>
<li>Adventurous spirit where you can work on topics at the frontier and drive exploration.</li>
<li>Rigorous disposition: you will have to pass judgement on what is and what is not practical for Torc to implement at scale. </li>
<li>You will need to communicate your outcomes and progress to other teams so they can take your findings and reliably implement them.</li>
<li>You will need resilience, you must be comfortable with working on a project for a month that may not reach production.</li>
</ul>
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:   
<ul>
<li>A competitive compensation package that includes a bonus component and stock options</li>
<li>100% paid medical, dental, and vision premiums for full-time employees</li>
<li>401K plan with a 6% employer match</li>
<li>Flexibility in schedule and generous paid vacation (available immediately after start date)</li>
<li>AD+D and Life Insurance </li>
</ul>
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<div><div><div>Hiring Range for Job Opening </div><div>US Pay Range</div><div>$153,200—$183,800 USD</div></div></div>

Torcrobotics

Open jobs at Torcrobotics

Senior, Machine Learning Engineer - End-to-End

Senior, Machine Learning Engineer - 3D Perception

Machine Learning Engineer, II - 3D Perception

ML Engineer, I - MLOps Framework

ML Engineer, II - New AI Initiatives

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