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Remote Tesla Machine Learning Engineer Jobs in Milwaukee, WI

HotRun Inc.

Field Service Engineer

Milwaukee, WI · Remote

This position is a remote position working from a home office and travelling to client's plants in ... Installation of newly purchased plastic molding machines at customer locations across the US. This ...

HotRun Inc.

Field Service Engineer

Milwaukee, WI · Remote

$90K - $120K/yr

This position is a remote position working from a home office and travelling to client's plants in ... Installation of newly purchased plastic molding machines at customer locations across the US. This ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

Hybrid and remote options available for this role. Responsibilities : * Design, develop, and ... Exposure to predictive analytics, AI, or machine learning concepts. Human Relations Skills: Ability ...

Varsity Tutors

Statics and Dynamics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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All JobsTesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer Jobs in Milwaukee, WI

Remote Tesla Machine Learning Engineer information

See Milwaukee, WI salary details

$31K

$126.9K

$190.6K

How much do remote tesla machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote tesla machine learning engineer in Milwaukee, WI is $126,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What does a remote Tesla machine learning engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

What are some common challenges faced by remote Tesla machine learning engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

What are the key skills and qualifications needed to thrive as a remote Tesla machine learning engineer?

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

What is the difference between Remote Tesla Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

What are popular job titles related to Remote Tesla Machine Learning Engineer jobs in Milwaukee, WI? For Remote Tesla Machine Learning Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Machine Learning Engineer jobs in Milwaukee, WI look for? The top searched job categories for Remote Tesla Machine Learning Engineer jobs in Milwaukee, WI are:
Remote Tesla Machine Learning Engineer jobs near you

Software Engineer III - IntelliScript (Remote)

Milliman

Brookfield, WI • On-site, Remote

$54.50 - $73.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

What We Do
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance clients. We're a business unit within Milliman, Inc., a respected consultancy with offices around the world.
Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career.
Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company and learn more about our cultural values here.
Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability.
What this position entails
The Software Engineer III is a critical contributor at the intersection of product engineering and data engineering, responsible for designing and delivering scalable backend services and data pipelines that power next-generation Insurtech products. As a member of the Data Curation team, you will be responsible for creating and modernizing solutions central to our most-used offerings based on market needs and product requirements. You will mix system-level thinking and hands-on development while partnering closely with software engineers, data engineers, product managers, and stakeholders to deliver solutions that are scalable, compliant, and market-differentiating.
As a software engineer focused on prescription, health, and medical record data solutions, you thrive in fast-moving, modernization development and can balance strategic thinking with hands-on execution to help us achieve product-market fit and scale. You will have the opportunity to help lead the development of new processes and workflows that will become the core of many products that drive efficiency, compliance, and value for our clients.
What you'll be doing
  • Design, build, and optimize data pipelines for ingestion, transformation, enrichment, and distribution of structured and unstructured data
  • Develop event-driven and batch data processing systems using AWS-native services
  • Integrate backend application services with data pipelines, ensuring consistency between transactional and analytical systems
  • Modernize legacy systems into microservices and event-driven architectures in AWS
  • Implement data reliability and quality mechanisms (validation, monitoring, observability, and error handling)
  • Build and maintain data workflows and orchestration pipelines to ensure timely and accurate data delivery
  • Ensure systems are designed for performance, scalability, security, and compliance
  • Mentor engineers and contribute to raising the team's engineering maturity and delivery quality
  • Collaborate in SAFe Agile teams, delivering measurable outcomes aligned to product and platform objectives
  • Support production operations, including monitoring, troubleshooting, and continuous improvement of system performance

What we need
  • 5+ years of experience in software engineering with significant focus on data pipeline development and backend systems
  • Strong proficiency in C# (.NET) and SQL, with experience working with large-scale data systems
  • Hands-on experience building and operating data pipelines and data processing systems
  • Experience with AWS data and compute services
  • Experience with microservices and event-driven architecture
  • Strong understanding of data modeling, data integration, and data lifecycle management
  • Experience with DevOps practices, including CI/CD, GitHub workflows, and Terraform
  • Working knowledge of Agile/SAFe delivery models
  • Experience with full software development lifecycle
  • Strong problem-solving and debugging skills across both application and data layers
  • Ability to design resilient, scalable, and observable data systems
  • Proven ability to own pipeline reliability, performance, and data quality outcomes
  • Excellent collaborative skills, work well independently and as a team member
  • Proven analytical skills to interpret and implement business and functional requirements

What you bring to the table
  • A data-first engineering mindset, with deep understanding of how data flows through systems and enables business value
  • Demonstrated ability to design and operate complex data pipelines and distributed systems
  • Strong ownership and accountability for data quality, reliability, and system performance
  • Can identify, analyze, and evaluate complex problems, demonstrating attention to detail and the ability to synthesize complex data, contributing to team goals and objectives
  • Experience influencing engineering teams through technical leadership, mentoring, and best practices adoption
  • A collaborative approach, working effectively across software engineering, data engineering, and product teams
  • Has a thorough understanding of the field and seeks to enhance technical expertise by staying up to date with industry trends, best practices, and emerging technologies

Wish list
  • Continued education and/or advanced degree(s)
  • Experience building production-grade data pipelines using AWS data services
  • Experience with real-time or streaming data architectures
  • Familiarity with data warehouse and lakehouse architectures
  • Experience implementing data observability, lineage, and governance practices
  • Experience working in regulated data environments (e.g., healthcare, HIPAA, or financial data systems)
  • Strong understanding of digital health data-experience with EHR systems, FHIR/HL7 interoperability, or data integration is highly preferred
  • Experience with clinical informatics (e.g. data table structure, storage, relationships, maintenance, etc.) as well as in-depth knowledge of medical claims and electronic health records (ICD-10 codes, data management, research, etc.)
  • Experience rebuilding on-prem legacy applications in a modern cloud environment (AWS)
  • Experience with workflow orchestration tools and pipeline scheduling frameworks
  • AWS certifications or advanced cloud data engineering training

Location
The expected application deadline for this job is August 15, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $104,900 - $199,065. For candidates residing in:
  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the range is $120,635 - $199,065.
  • All other locations the salary range is $104,900 - $173,100.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Benefits
We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:
  • Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners.
  • Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges.
  • 401(k) Plan - Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program - Recognizing employee contributions.
  • Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses.
  • Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
  • Holidays - A minimum of 10 paid holidays per year.
  • Family Building Benefits - Includes adoption and fertility assistance.
  • Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria.
  • Life Insurance & AD&D - 100% of premiums covered by Milliman.
  • Short-Term and Long-Term Disability - Fully paid by Milliman.

Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

What Milliman employees say

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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947

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