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Startup Machine Learning Remote Jobs in Andover, MN

UnitedHealth Group

Technical Product Manager

Eden Prairie, MN · On-site +1

$170K - $196K/yr

... a hybrid-remote position* as you take on some tough challenges. Primary Responsibilities ... Broad understanding of the machine learning lifecycle, natural language processing (NLP), Large ...

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$26.3K

$44K

$90.9K

How much do startup machine learning remote jobs pay per year?

As of Aug 21, 2026, the average yearly pay for startup machine learning remote in Andover, MN is $43,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,600.00 and $47,500.00 per year, depending on experience, location, and employer.

What is a startup machine learning engineer remote?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What skills and qualifications are needed to thrive as a startup machine learning engineer remote?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are some unique challenges faced by startup machine learning engineers working remotely?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.

What cities near Andover, MN are hiring for Startup Machine Learning Remote jobs?

Cities near Andover, MN with the most Startup Machine Learning Remote job openings:

Startup Machine Learning Remote jobs near you

Principal Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Re-posted 11 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 891 rated healthcare providers

Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together
As a Principal Data Scientist within the Optum Technology team supporting UHC Technology, you will lead the design, development, and deployment of advanced machine learning and generative AI solutions. In this role, you will define end-to-end ML architecture, select appropriate tools and frameworks, drive proof-of-concept experiments, and guide engineering teams in productionizing scalable AI services. You will balance architectural leadership with hands-on execution across complex initiatives, establishing best practices for model governance, reproducibility, and security to drive healthcare innovation.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design, develop, and deploy scalable, production-grade AI solutions to address complex business challenges while embedding responsible AI principles, fairness, transparency, and accountability throughout the model development lifecycle
  • Lead solution architecture and hands-on development across complex AI/ML initiatives using traditional ML, deep learning, and modern LLM-based approaches
  • Lead proof-of-concept experiments in generative AI (transformers, GANs, diffusion models) and evaluate emerging tools, research, and frameworks to drive strategic innovation
  • Collaborate with research, data engineering, software engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities
  • Define and establish enterprise best practices for model governance, versioning, reproducibility, security, and cloud-native MLOps pipelines
  • Provide technical guidance, architectural design reviews, and mentorship to junior engineers and data scientists without formal people management duties
  • Document architecture designs, technical proposals, and recommendations, presenting findings directly to cross-functional stakeholders and leadership

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 10+ years of experience designing, building, and deploying production machine learning solutions
  • 3+ years of experience building Generative AI applications using LLMs and orchestration frameworks such as LangChain and/or LangGraph
  • Deep expertise in either NLP or Computer Vision with multiple years of hands-on solution ownership in that domain
  • Proven solid foundation in core ML and statistical methods (supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling) alongside substantive deep learning experience
  • Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure, or GCP), including containerization (Docker/Kubernetes) and MLOps (CI/CD, model registry, monitoring)
  • Proven track record of successfully moving models from research/POC phase into production at scale
  • Hands-on programming proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Demonstrated solid background in probability, linear algebra, and statistical inferenc
  • Demonstrated problem-solving ability with clear verbal and written communication skills

Preferred Qualifications:
  • Experience working with healthcare data, clinical systems, or U.S.-based healthcare environments
  • Practical experience fine-tuning generative models (e.g., GPT, BERT, Stable Diffusion, or custom architectures)
  • Experience with MLOps tools such as MLflow, Kubeflow, TFX, or Airflow
  • Familiarity with big data technologies including Apache Spark, Hadoop, or Dask
  • Knowledge of data visualization tools (Tableau, Power BI) and dashboard design

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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