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Temporary Machine Learning Scientist Jobs in Detroit, MI

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Train new machine learning models to solve complex business problems. * Prototype new AI solutions ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

Role: Data Scientists Modeling Location: Dearborn, MI (Hybrid) Duration: Long term Rate: Market ... Develop, train, and evaluate statistical and machine learning models to address specific business ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Bachelor's degree in Computer Science, Engineering, or equivalent experience * 7+ years of ...

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All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Detroit, MI

Temporary Machine Learning Scientist information

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What are the most commonly searched types of Machine Learning Scientist jobs in Detroit, MI?

The most popular types of Machine Learning Scientist jobs in Detroit, MI are:

What are popular job titles related to Temporary Machine Learning Scientist jobs in Detroit, MI?

For Temporary Machine Learning Scientist jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Scientist jobs in Detroit, MI look for?

The top searched job categories for Temporary Machine Learning Scientist jobs in Detroit, MI are:

Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in Detroit, MI as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 59% In-person, and 41% Remote job distribution.

Senior Simulation Engineer - Machine Learning

Woven by Toyota

Ann Arbor, MI • On-site

$140K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

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.
TEAMThe 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.

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