ZipRecruiter

Log In

2

Remote Machine Learning Researcher Jobs in Michigan

Varsity Tutors

Statistics Graduate Level Tutor

Detroit, MI · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

micro1 AI

Engineering AI Evaluator (PhD)

Detroit, MI · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Detroit, MI · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

... managed machine learning services. 3. A/B testing design, implementation, and analysis, and ... Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a ...

OneStream

AI Engineer

Birmingham, MI · Remote

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

OneStream

AI Product Specialist

Birmingham, MI · Remote

Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

New

next page

Showing results 1-20

All JobsMachine Learning Researcher JobsRemote Machine Learning Researcher JobsRemote Machine Learning Researcher Jobs in Michigan

Remote Machine Learning Researcher information

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Researcher, and why are they important?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.
What are the most commonly searched types of Machine Learning Researcher jobs in Michigan? The most popular types of Machine Learning Researcher jobs in Michigan are:
What are popular job titles related to Remote Machine Learning Researcher jobs in Michigan? For Remote Machine Learning Researcher jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Researcher jobs in Michigan look for? The top searched job categories for Remote Machine Learning Researcher jobs in Michigan are:
What cities in Michigan are hiring for Remote Machine Learning Researcher jobs? Cities in Michigan with the most Remote Machine Learning Researcher job openings:
Remote Machine Learning Researcher jobs near you

Software Engineer II - Python

Rocket Close, LLC

Detroit, MI • On-site, Remote

Full-time

Posted 12 days ago

Job description

As a Python Engineer on our Data Science team, you will be at the forefront of our most ambitious technical initiatives. Your role is dual-purposed: you will build and orchestrate next-generation Agentic AI systems using AgentCore and LangGraph, and you will act as a Machine Learning Engineer (MLE) to productionize the sophisticated models developed by our Data Scientists.
We don't just follow industry trends; we aim to set them. You will be expected to be a perpetual student of the field, constantly researching and implementing the newest technologies to ensure our platform remains world-class.
Minimum Qualifications
  • Master's degree in Computer Science, Software Development, Machine Learning, or a related field, OR equivalent professional experience (3-5+ years in production-level engineering).
  • Expert-level proficiency in Python with a focus on building distributed, scalable cloud-native services.
  • Proven experience in a Data Science or Machine Learning environment, specifically in bridging the gap between research code and production software.

Preferred Qualifications
Agentic AI & Orchestration:
  • Hands-on experience with AgentCore runtime for building and managing autonomous agents.
  • Extensive experience using LangGraph to create complex, stateful multi-agent orchestrations with high visibility.
  • Deep familiarity with Amazon Bedrock, OpenAI, or Anthropic APIs and the latest advancements in LLM reasoning.
  • Experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines.

Machine Learning Engineering (MLE):
  • Proven track record of productionizing Data Science models, transforming research-grade code into high-performance, scalable APIs (e.g., using FastAPI).
  • Experience with the full MLOps lifecycle: model deployment, versioning, and performance monitoring.
  • Familiarity with Amazon SageMaker or other cloud-based ML platforms.

Cloud & Infrastructure (AWS):
  • Expertise in the AWS ecosystem: Lambda (Serverless), Step Functions, ECS/EKS (Containers), EventBridge, and S3.
  • Strong proficiency in Infrastructure as Code (IaC) using Terraform.
  • Experience building asynchronous, event-driven architectures.

Observability & Engineering Excellence:
  • Proficiency in Splunk and CloudWatch for production monitoring and alerting.
  • Strong knowledge of software development life cycle (SDLC) processes, including unit testing, regression testing, and Agile concepts.
  • Ability to work with broad, loosely developed concepts and translate them into precise technical specifications.

Key Responsibilities
  • Agentic AI Innovation: Design and implement autonomous agents using AgentCore and orchestrate them via LangGraph to ensure complex workflows are visible and manageable.
  • MLE Productionization: Partner with Data Scientists to take ML models from research notebooks into scalable, production-ready AWS environments.
  • Constant Research: Proactively research, test, and present the newest technologies, frameworks, and AI research papers to the team. You are expected to be an early adopter of tools that can improve our velocity or service quality.
  • System Architecture: Build and maintain the cloud-native infrastructure (AWS) required for AI/ML inference and agentic execution, ensuring high availability and cost-efficiency.
  • Observability: Implement deep monitoring and alerting for all services, using LangGraph for agent-specific visibility and Splunk for broader system health.
  • Code Quality: Participate in rigorous code reviews and help define the engineering standards for the Data Science team.
  • Collaboration: Work without complete specifications to help derive technology solutions that meet the evolving needs of the business.

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
On-Call Expectations
This role may include participation in an on-call rotation to support production systems and ensure service reliability. On-call responsibilities may include coverage during nights and weekends. If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.
About us
Rocket Close is a leading national provider of title insurance, property valuations and settlement services. Here, you'll be given all the resources and support needed to deliver innovative solutions and in turn, your hard work will be rewarded with a competitive compensation package and an array of other amazing benefits. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

Apply