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Machine Learning Engineer New Grad Jobs in Pinckney, MI

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

A system thinker with technical depth in machine learning approaches to complex systems. This ... Incorporate data-driven approaches to improve system performance and unlock new capabilities for ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

A system thinker with technical depth in machine learning approaches to complex systems. This ... Incorporate data-driven approaches to improve system performance and unlock new capabilities for ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

A system thinker with technical depth in machine learning approaches to complex systems. This ... Incorporate data-driven approaches to improve system performance and unlock new capabilities for ...

Esteco Spa

Application Engineer

Novi, MI · On-site

... how to leverage machine learning and artificial intelligence to accelerate physics-based ... Design and lead technical training sessions and hands-on workshops that empower both new and ...

Esteco SpA

Application Engineer

Novi, MI · On-site

$70 - $95/hr

... how to leverage machine learning and artificial intelligence to accelerate physics-based ... Design and lead technical training sessions and hands-on workshops that empower both new and ...

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

Experience integrating Machine Learning and Generative AI solutions into production-grade ... New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base ...

Kla

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

Design, develop, and implement machine learning models and AI algorithms to address business ... Conduct research to explore new methodologies or improve existing ones, ensuring our solutions ...

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Machine Learning Engineer New Grad information

See Pinckney, MI salary details

$29.7K

$121.4K

$182.4K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning engineer new grad in Pinckney, MI is $121,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What cities near Pinckney, MI are hiring for Machine Learning Engineer New Grad jobs?

Cities near Pinckney, MI with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you

Lead Perception Engineer

Woven by Toyota

Ann Arbor, MI • On-site

$100K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
At Woven by Toyota, we work on some of the most challenging problems in autonomy from 3D geometric computer vision and perception to prediction, motion planning, and safe deployment of ML systems in real vehicles. Our AD/ADAS organization develops productiongrade autonomy and active safety technologies that operate in complex, uncertain realworld environments and ship at global scale.

You'll collaborate daily with ML researchers, software engineers, robotics engineers, and hardware teams to design, build, and deploy perception and worldunderstanding systems that directly influence how vehicles see, reason about, and interact with the world.
 
WHO ARE WE LOOKING FOR?
We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the multi-year roadmap, architecture, metrics, and technical strategy for software components contributing to understanding around the vehicle.  A system thinker with technical depth in machine learning approaches to complex systems. This engineer will accelerate the adoption of data-driven and deep learning methodologies, focusing on ML system design and verification, supervised/unsupervised learning, multi-modality, multi-tasks training,  and temporal/sequential modeling. This role emphasizes faster and more cost-efficient model iteration, data-driven validation strategies, and unlocking new safety/performance capabilities through advanced ML.
 
The role also requires strong communication skills, an aptitude for mentoring tech leads, influencing and collaborating with diverse stakeholders, including TMC, in identifying deep technical challenges, developing solutions, and executing on the delivery of our autonomy mission.
 
RESPONSIBILITIES
  • Driving the technical vision and multi-year strategy for World Understanding (including perception, mapping, fusion, on-board/off-board) software.
  • Leading project execution, defining efficient engineering processes, and mitigating risks.
  • Collaborate with cross-functional teams  such as Data, Behavior (Planner/Controller/HMI), Developer Ecosystem, and  Product Delivery while  influencing technical decisions across the organization to drive innovation, ensure seamless system integration, and improve overall engineering efficiency.
  • Develop state-of-the-art models  to deliver desired driving environments  in various sensor configurations.
  • Increase speed of the component- and system-level model iteration while maintaining cost efficiency
  • Incorporate data-driven approaches to improve system performance and unlock new capabilities for safety.
  • Maintain the functional architecture design and lead review of technical designs
  • Drive organizational metrics towards performance, safety, and quality
  • Maintain external presence of the department through papers, patents, and presentations
  • Assess and mitigate risk to the technical program
  • Act in partnership with other Lead Engineers in AD/ADAS to solve high impact cross-functional issues
  • Mentor and support engineers, fostering growth through code reviews, knowledge sharing, and collaboration with cross-functional teams to align technical solutions with business goals.
  • Design reusable software components as part of an integrated system.
  • Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing.
  • Build component and system level validation strategies that are leveraged to resolve complex interactions between components, increase performance, and evaluate design tradeoffs related to data-driven practices
MINIMUM QUALIFICATIONS
  • 10+ years of professional experience with machine learning applications or applied science
  • MS or PHD in Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar 
  • Deep expertise in ML algorithms, frameworks, data-driven methods, supervised/unsupervised learning, multi-modality, multi-tasks training,  and temporal/sequential modeling, and deployment of ML models at scale.
  • Strong R&D potential in algorithm design, data-driven approaches to safety, and large-scale, complex systems architecture, and requirements-driven development
  • Experience with utilizing deep learning frameworks to increase speed and ease of development
  • Experience with temporal data and/or sequential modeling
  • Experience with code quality and systems safety processes for production code delivery, with respect to data-driven methodologies and model validation
  • Strong, practical understanding of real-time system development, performance issues, testing modalities, and tradeoffs
  • Ability to write code in C++ and python
  • Ability to lead in globally distributed team
  • You are an excellent communicator, skilled collaborator, and principled colleague
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.
  • Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping) 
  • Experience with Planner ML system design (e.g.  including supervised/unsupervised learning, reinforcement learning, diffusion policy)
  • Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control) 
  • Japanese language skills
For positions based in Palo Alto, CA, the base pay ranges from $189,000-$310,500 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.
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