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Machine Learning Engineer New Grad Jobs in Pinckney, MI

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

The role involves working across various data domains and collaborating with machine learning engineers to enhance production processes. Responsibilities : • Work across domains--for example, all ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ... New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base ...

THOMSON REUTERS

Research Engineer

Ann Arbor, MI · Hybrid

At least2years software engineering experience, ideally in the context of machine learning and ... A desire to learn and embrace new and emerging technology * Familiarity with probabilistic models ...

THOMSON REUTERS

Applied Scientist Intern

Ann Arbor, MI

$14.75 - $19.50/hr

Are you a curious and open-minded individual with an interest in programming and machine learning ... We support the organization and our customers through applied research and development of new ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Pinckney, MI

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 7, 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

Senior Simulation Engineer - Machine Learning

Woven by Toyota

Ann Arbor, MI

$140K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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
The Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. We collaborate with partners across Toyota, offering numerous opportunities to integrate cutting-edge technology into consumer vehicles globally. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. The simulation technologies we develop and integrate form the foundation of our virtual verification and validation efforts, enabling autonomy and ADAS stack development, regression testing, and model training.

WHO ARE WE LOOKING FOR?

The Simulation Core team is seeking an experienced Senior Simulation Engineer to lead the adoption and integration of advanced machine learning technologies, including world foundation models, into large‑scale simulation workflows. This role sits at the intersection of simulation and machine learning and will enable us to complement traditional simulation paradigms with workflows that enable large scale training and testing of machine learning-based autonomy stacks. By steering technical direction, collaborating with cross-functional teams, and mentoring developers, you will play a key role in evolving our critical AD/ADAS simulator tools.

RESPONSIBILITIES

  • Lead adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g. scenario creation, reactive agents and sensor/vehicle/intersection/world modeling).

  • Architect and extend our next generation core simulation technologies (e.g. agent frameworks,  scenario engine, sensor simulation).

  • Partner with ADAS teams to improve the development and evaluation of ADAS software.

  • Help set the team roadmap to support the growing landscape of ADAS customers and use cases.

  • Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.

  • 5+ years of relevant work experience.

  • Experience with machine learning frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred).

  • Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization

  • Strong programming skills in Python, Rust or C++.

  • Proven track record crafting well-designed, impactful solutions within allotted time and resource constraints.

  • Ability to think, design, and code for both the user’s and simulator developer’s perspectives.

  • An infectious self-driven passion for solving complex problems while learning new techniques and technologies!

NICE TO HAVES

  • Familiarity with recent breakthroughs in machine learning (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures).

  • Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).

  • Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).

  • Experience in the automotive and/or self-driving autonomy domain.

For positions based in Palo Alto, CA, the base pay 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.