Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.   Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it.   Job Description/Preferred Qualifications
Are you ready to solve one of the toughest challenges in semiconductor manufacturing? Imagine developing models that can detect nanoscale defects, even when access to data and systems is limited. Join us and be part of the entire journey - from designing and developing to deploying these groundbreaking models and systems. Your expertise will drive innovation and make a real impact!
Key Responsibilities:      Lead the development and implementation of AI products, ensuring they meet project requirements and business goals.
Help the team build infrastructure and deploy modern MLOps techniques to our customer sites.
Rapidly prototype and iterate on machine learning applications, demonstrating large language models (LLMs) for various use cases.
Stay updated with the latest ML/AI research and integrate new techniques into our products.
Select appropriate datasets, perform data preprocessing, and ensure data quality for training models.
Conduct machine learning tests, perform statistical analysis, and fine-tune models for efficient performance.
Work closely with multi-disciplinary teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
Guide and mentor junior team members, encouraging a culture of continuous learning and improvement.
Required Skills and Experience:      Educational background in Computer Science, Mathematics, or a related field.
Proficiency in Python and Machine Learning (ML) frameworks such as PyTorch, TensorFlow, and Keras.
Hands-on experience with Large Language Models and related tools.
Strong problem-solving abilities and experience with statistical analysis.
Effectively convey sophisticated technical concepts to non-technical team members.
Ability to work collaboratively with fellow team members and lead multiple projects simultaneously.
Preferred Qualifications:
Experience with cloud platforms like Azure, AWS, or Google Cloud for deploying and running ML models.
Previous experience in a similar role within the AI/ML industry.
Minimum Qualifications
Typically requires a minimum of 5 years of related experience with a Bachelors degree, or 3 years of experience and a Masters Degree
Base Pay Range: $102,200.00 - $173,700.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.  Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City - our test course for advanced mobility - we're bringing greater freedom, safety and happiness to people and society.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

TEAM

At Woven by Toyota, we work on a diverse set of problems ranging from solving Trajectory Planning and Decision Making problems, to optimizing latency on hardware accelerators, designing novel neural network architectures and applying and advancing the state-of-the-art of machine learning (ML) for perception, prediction, and motion planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. You will be interacting on a daily basis with other software and hardware engineers and researchers to tackle some of the most challenging problems in AI and Robotics.

WHO WE ARE LOOKING FOR

The team is looking for an experienced Machine Learning Engineer to join us in developing a state-of-the-art motion planning system for autonomous driving. As an expert in machine learning in the Motion Planning team, you will be responsible to design and develop new Machine Learning models for our Motion Planners, and to deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles. The ideal candidate will have published some deep learning research in top-tier conferences such as NeurIPs or CVPR, built and deployed real-world deep learning products, and worked in a fast-paced environment along with other highly talented engineers. We recognize the unique capabilities each team member brings, and encourage applicants to reach out even if they do not match all of the characteristics described below.

RESPONSIBILITIES:

Motion Planning ML model R&D by prototyping, validating and iterating on existing and new model architectures leveraging imitation learning, deep reinforcement learning, and large-scale data.
Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
Lead large, multi-person projects and significantly influence the overall Motion Planning architecture and technical direction.
Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
Work in a high-velocity environment and employ agile development practices.
Team player and "get things done" mentality
Collaborate closely with teams such as Perception, Simulation, Infrastructure, Tooling to drive unified solutions.
Closely collaborate with Motion Planning subteams to develop end-to-end solutions.
EXPERIENCE:      MS, or higher degree, in Machine Learning, Robotics, CS (or other related fields), or other quantitative fields or equivalent in industry experience.
5+ years of experience with ML frameworks such as PyTorch, Caffe, Tensorflow
Extensive experience with learning-based planning approaches like imitation learning, reinforcement learning and state-of-the-art techniques for sequential modeling like Transformer architectures, and camera input or vector/point-based representations.
Strong programming skills in Python or C++
5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
Passionate about self driving car technology and its potential for humanity.
Strong communication skills and ability to communicate concepts clearly and precisely
Nice to Have      Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, model predictive control, etc or self-driving problems (Perception, Prediction, Mapping, Localization, Planning, Simulation)
Experience in writing production level code in a real-time operating system.
Experience with temporal/sequential modeling and/or reinforcement learning.
Experience in optimizing runtime-critical systems for Linux, UNIX-like real-time operating systems on automotive-grade compute platforms, and building safety-critical software architecture.

The base pay for this position ranges from $140,000 - $230,000 a year

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

• Excellent health, wellness, dental and vision coverage

• A rewarding 401k program

• Flexible vacation policy

• Family planning and care benefits

Our Commitment

• We are an equal opportunity employer and value diversity.

• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

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.

About the Team:

Torc's virtual driver software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking a highly experienced senior machine learning engineer to join the Machine Learning Frameworks team. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by enhancing AI performance.

The ML Frameworks Team is hiring a Senior Machine Learning Engineer that will focus on our next generation ML training framework components for large scale, distributed model training in the cloud. The new engineer will focus on building a new distributed training architecture based on Ray and PyTorch Lightning as well as on the migration of existing, legacy implementations at Torc towards this new architecture. This new training framework utilizes heterogenous cloud resources for fast and highly resource efficient model training and will consequently be used to train large, multitask architectures for various perception and planning functions of the autonomous truck. Furthermore, the new engineer will participate in general tasks within the frameworks team, including building tooling for various parts of the ML lifecycle, the maintenance of a large, shared ML codebase and the continuous support of the internal userbase.

What you'll be doing:
Mature and optimize machine learning workflows
Take a significant role in implementing and rolling out our new Ray-based framework for distributed, large scale machine learning training, deployment as well as data transformation pipelines
Maintain a large code base in which all machine learning projects at Torc are hosted
Collaborate with researchers and engineers to maintain and improve their machine learning projects
Engage with the data and compute interfaces of the team to ensure optimal tooling impact to product deliveries
Stay abreast of the latest advancements in PyTorch, maximizing their potential for cloud execution
Collaborate with machine learning engineers to develop innovative and performant deep learning solutions
Analyze and optimize deep learning training using profiling and optimization tools, identifying and eliminating performance bottlenecks
Contribute to the development of internal tools and libraries to further enhance deep learning performance on the target hardware
Document your work clearly and concisely, sharing knowledge effectively with team members
What you need to succeed:     Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 3+ years of experience
Mastery of Python and Pytorch, with the ability to write efficient and maintainable code for both performance and flexibility
Expert knowledge of Ray
In-depth knowledge of AWS EC2 and Sagemaker
Excellent understanding of parallel computing (GPGPU) and high-performance (HPC) concepts
Excel at working in a highly collaborative environment   Familiarity with AGILE development practices
Comfortable using collaborative development tools such as Git and Jira
Ability to adhere to company coding standards

Proven dedication to writing production-quality code that is robust, efficient, portable, maintainable, and bug-free
Bonus Points!     Phd with 1+ years of experience
Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP
Knowledge of other Deep Learning frameworks such as TensorFlow or Caffe
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

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.

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.

About the Team:

Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking a highly experienced senior machine learning engineer to join our scene modeling team. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI.

As a senior engineer of the team, you are applying machine learning science in a production focused environment. You are using machine learning models in both a unimodal and multimodal context, to create a 3D representation of the driving scenario. Training, validation, data science, architectural design are your daily work. You are interested in understanding how your model performs in deployment, for what you collaborate closely with deployment focused teams. You mentor and guide more junior members of the team and are always interested in the newest trends in research, eager to translate scientific improvements into our production grade machine learning pipelines.

What you'll be doing:
Develop and Optimize Computer Vision Algorithms: Implementing monocular and stereo depth estimation algorithms; comprehending objects, lanes, obstacles, and weather conditions within the driving environment; enhance perception systems to process multi-modal sensor data (camera, LiDAR, radar) effectively; and utilizing data science techniques to analyze model performance, data distributions, and identify corner cases
Contribute to BEV Self-Driving Architectures: Design and implement deep learning models for object detection, semantic segmentation, and voxel grid occupancy in BEV frameworks; integrate BEV representations into end-to-end planning and control pipelines
Data Management and Processing: Develop efficient pipelines for large-scale data processing and annotation(pseudo-labeling) of sensor data (e.g., LiDAR point clouds, image frames); and implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness
Model Deployment and Optimization: Collaborating with conversion and deployment teams to ensure seamless integration; deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency; and optimize inference pipelines for embedded and automotive-grade hardware platforms
Cross-functional Collaboration: Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems; and work with product and operations teams to define performance metrics and improve system reliability
Research and Innovation: Stay updated with the latest advancements in computer vision, BEV models, and autonomous driving technologies; translating scientific research into production-grade machine learning pipelines; and publish findings in top-tier conferences and journals (optional but encouraged)
Leadership: Contributing to the model development roadmap and providing strategic advice to technical leadership and mentoring and guiding junior team members to enhance their technical skills and career growth; and mentoring and guiding junior team members to enhance their technical skills and career growth
What you need to succeed:     Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience
Scientific understanding of machine learning for 3D BEV space modeling
Versatile in training PyTorch machine learning models
Experience with understanding data distributions and analyzing long tail distributions
Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards
Bonus points!     PhD in machine learning or data science
Proficient in writing CUDA kernels and developing custom PyTorch operations
Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP
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

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.

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.

What you'll do:

The Principal Machine Learning Engineer will define and grow the technical vision for the Autonomy Applications Division, collaborating across teams to drive scalable, high-performance machine learning solutions that power autonomous driving capabilities.
Lead the technical architecture for ML solutions within the Autonomy Applications Division, integrating perception, planning, and control systems.
Collaborate with stakeholders to design scalable, maintainable ML solutions aligned with Torc's technical vision.
Provide technical mentorship, conduct design/code reviews, and promote best practices across engineering teams.
Analyze software performance and guide teams in optimizing algorithms for speed, efficiency, and scalability.
Troubleshoot and resolve critical issues within the Autonomy Applications stack.
Stay current with industry trends and integrate emerging technologies where applicable.
What you'll need to succeed:    Bachelor's in Computer Science, Electrical Engineering, Robotics, or related field (Master's/Ph.D. preferred).
15+ years in engineering, with a focus on real-world ML projects, robotics applications, and safety-critical systems.
Proficiency in C++ & Python programming (PyTorch, and CUDA preferred.)
Strong background in ML model optimization for real-time autonomous systems.
Excellent communication and leadership skills to align technical objectives with business goals.
Experience with safety-certified coding, vehicle dynamics, control theory, and V&V processes.
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)

Hiring Range for Job Opening

US Pay Range

$237,700-$285,200 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.

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.

Summary:

The Senior Machine Learning Engineer will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation.

What you'll be doing:
You will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation.
Advance modern simulation techniques by using state-of-the art ML approaches and computer vision techniques
Monitor, evaluate, and integrate the latest research advances in Neural Rendering and related domains to a production environment.
Deliver key contributions to design, architecture and implementation of a neural rendering framework that allows to scale perception simulation
Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
Develop sensor models for camera, LIDAR and RADAR and apply them to a Neural Rendering setting
What you need to succeed:     BS, MS or PhD in computer vision, machine learning, computer science, computer engineering or related fields
5+ years of software development experience or a PhD in machine learning, Computer Vision, or related field
Strong experience in Python and science libraries like Numpy, SciPy, Pandas and Matplotlib
Experience with one or more deep learning framework such as PyTorch or TensorFlow
Expert knowledge of the principles, algorithms and tools of applied Deep Learning, including model training strategies, data processing, cost functions, quality metrics, etc.
Experience with 3D Computer Vision or rendering algorithms
Experience in applying machine learning towards rendering, 3D computer vision or related field, preferably multiple projects in these core areas
Track record of successfully building and shipping products or open-source projects
Bonus Points:     Publication record in Computer Vision, Computer Graphics and Machine Learning conferences (e.g. SIGGRAPH, CVPR, NeurIPS, ICCV, ICLR, ICML ...) is a plus
Kanban, Scrum or Scaled Agile development
Experience developing sensor models, 3D simulation environments, rendering and ray tracing in a perception simulation environment (i.e., game engine or other similar simulation environment)
Software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification
Technical leadership experience
Experience with C++, C#, ROS for autonomous SW development and simulation tooling
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.

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City - our test course for advanced mobility - we're bringing greater freedom, safety and happiness to people and society.

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

Team

At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.

WHO ARE WE LOOKING FOR?

The team is looking for a skilled Machine Learning Engineer to help advance a cutting-edge machine learning system for perception, prediction, and motion planning in autonomous driving. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.

RESPONSIBILITIES

Design and develop advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data analysis.
Deploy scalable and efficient ML models on our autonomous vehicle platform.
Integrate modern technologies with rigorous safety standards while maintaining cost efficiency.
Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation.
Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
Work in a high-velocity environment and employ agile development practices.
Exhibit a "Giver" mindset, proactively asking, "What can I do for you?" to facilitate production development processes while maintaining a "get things done" mentality.
Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions.
Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week.
MINIMUM QUALIFICATIONS      MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience.
3+ years of experience with Python, any major deep learning framework, and software engineering best practices
Comfortable in writing C++ code to help integrate with our autonomous vehicle platform.
2+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning.
2+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
Strong communication skills with the ability to communicate concepts clearly and precisely.
NICE TO HAVES      Published research at top-tier conferences (NeurIPs, CVPR and similar).
Proven track record of deploying ML models at scale in self-driving or related fields.
Familiarity with production-level coding in time-limited task schedules.
Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping)
Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)
Experience with temporal data and/or sequential modeling.
Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation).

For California: The base pay for this position ranges from $161,000- $264,500 a year

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

• Excellent health, wellness, dental and vision coverage

• A rewarding 401k program

• Flexible vacation policy

• Family planning and care benefits

Our Commitment

• We are an equal opportunity employer and value diversity.

• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

Machine Learning Engineer Jobs in Ann Arbor, MI

Sr Machine Learning Engineer
March 12, 2025

Senior Machine Learning Engineer Motion Planning
March 9, 2025

Senior Machine Learning Engineer
March 1, 2025

Senior Machine Learning Engineer Computer Vision
March 1, 2025

Principal Machine Learning Engineer Autonomy Applications
February 25, 2025

Senior Machine Learning Engineer Data Driven Simulation
February 25, 2025

Senior Machine Learning Engineer Autonomy
February 24, 2025

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Machine Learning Engineer Jobs in Ann Arbor, MI

Sr Machine Learning EngineerMarch 12, 2025

Senior Machine Learning Engineer Motion PlanningMarch 9, 2025

Senior Machine Learning EngineerMarch 1, 2025

Senior Machine Learning Engineer Computer VisionMarch 1, 2025

Principal Machine Learning Engineer Autonomy ApplicationsFebruary 25, 2025

Senior Machine Learning Engineer Data Driven SimulationFebruary 25, 2025

Senior Machine Learning Engineer AutonomyFebruary 24, 2025