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Machine Learning Engineer – Inspire11
Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.
At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.
- Growth Through Challenge: We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively.
- The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next.
- Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be.
What you can expect in this role:
- Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
- Monitoring models in production
- Developing Generative AI solutions
- Ensuring security and compliance
- Preprocessing and analyzing datasets
- Developing and fine-tuning ML models to optimize for performance
- Communicating results to stakeholders
Tools for success:
- Exhibit strong software engineering principles
- Proficiency in cloud architecture (AWS, Azure, GCP)
- Familiarity with CI/CD and DevOps
- Expertise in data preprocessing and ML techniques
- Experience with model evaluation and libraries like TensorFlow, PyTorch
- Proven experience in ML engineering
- Strong programming skills (Python, R)
- Cloud services and infrastructure knowledge
- Agile methodologies understanding
Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.
Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/
U.S. Compensation & Benefits
Compensation at Inspire11
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.
Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.
Bonuses
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.
Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.
Options or Other Equity in Inspire11
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.
Benefits
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:
- Medical insurance plans,
- Dental insurance plans, and
- Vision insurance plans.
Full-time employees are eligible for the following benefits provided wholly by the Company:
- Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;
- Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;
- Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;
- A connectivity stipend of $325 annually;
- Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.
Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.
Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:
- Flexible savings accounts
- Limited-purpose flexible savings accounts
- Healthcare savings accounts
- Dependent care savings accounts
- Commuter benefit accounts
Paid Time Off and Leave
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.
In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.
Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.
Other Benefits
Inspire11 also maintains other programs that provide additional benefits to employees, such as:
- Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.
- Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.
- Regular gifts of Inspire11 clothes, office items, and swag.
Disclaimer
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.
Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.
EEOC
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.
US Compensation at Inspire11
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.
Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.
Ready to apply?
Apply to Inspire11
Senior Data Scientist
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AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid #LI-Remote
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthSenior Data Scientist
Share this job
AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. .
Address: 801 California St. Denver, CO 80202
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthSenior Data Scientist
Share this job
AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
Address: 11000 Optum Cir, Eden Prairie, MN 55344
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthSenior Data Scientist
Share this job
AT A GLANCE
RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and UnitedHealth Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
We're looking for a Senior Data Scientist to join a fast-moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.
Where You'll Be
To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO, office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
Address: 1101 Red Ventures Dr Fort Mill, SC 29707
This role is also open remotely for those not in an office location.
What You’ll Do
- Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human-in-the-loop review workflows
- Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
- Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
- Develop and ship generative AI applications — moving rapidly from proof of concept to production
- Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
- Stay current on state-of-the-art techniques and quickly evaluate what is worth building versus what is noise
- Lead cross-functional execution with stakeholders across product, engineering, and clinical teams
- Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency
What We’re Looking For
You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.
Core technical areas:
- Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, LangChain, or similar tooling
- Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human-in-the-loop review, and defining metrics that reflect real health outcomes
- Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
- Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
- Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change
Preferred qualifications:
- PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production-grade ML/AI solutions in complex domains like healthcare
- Strong Python skills; experience deploying models in production environments
- Familiarity with deep learning frameworks (PyTorch, TensorFlow) and NLP techniques (Transformers, LSTMs)
- Experience with vector databases, embeddings, or retrieval-augmented generation
- Hands-on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
- Demonstrated ability to move from research to production — not just notebooks
- Comfortable working with cross-functional teams and communicating technical tradeoffs to non-technical stakeholders
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $105,000, - $150,000
*Note actual salary is based on geographic location, qualifications and experience - Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA- Health Savings Account
- Commuter Benefits
- Gym & Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.
We do not provide visa sponsorship for this role at this time.
#LI-Hybrid
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Ready to apply?
Apply to RVO HealthABOUT onX
We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.
We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.
Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.
We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.
Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.
ABOUT THIS OPPORTUNITY
onX is seeking a Staff Software Engineer who will contribute to meaningful, real-world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on the design, development, and scaling of our core AI/ML platforms and product-facing services as part of the AI Foundations Team, supporting the integration of cutting-edge artificial intelligence solutions across onX's product lines. You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role will report to the Director of Engineering.
WHAT YOU'LL DO
Essential Job Duties & Functions
- Work on the design, development, and deployment of large-scale AI systems and services, including models, pipelines, product experiences and infrastructure.
- Help Drive the technical strategy and roadmap for AI feature development, focusing on scalability, repeatability, reliability, and performance.
- Mentor and guide other engineers in best practices and productionizing AI technologies.
- Collaborate with Product and Data Science teams to translate business problems into technical requirements and deliver high-impact AI solutions (combining LLMs, Vector Databases, ML and other technology in novel ways to serve onX’ unique audience).
- Look for opportunities to embed AI as a repeatable mechanism in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
- Be a leader in AI safety, ensuring AI-enabled products are aligned with our values and mission.
- Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
WHAT YOU’LL BRING
- Bachelor’s degree in Computer Science, Data Science, or a related technical field, or equivalent experience.
- 10+ years of professional software engineering experience, with at least 3 years focused on building and scaling production AI/ML systems, is required.
- Expertise in building scalable backend systems.
- Deep knowledge of MLOps practices, cloud infrastructure (AWS/GCP/Azure), and CI/CD pipelines for machine learning models and the common inference APIs/SDKs and frameworks.
- Experience with modern AI technologies, including Large Language Models (LLMs) and their various architectures, methods such as RAG, vector databases, and the common AI stack including TensorFlow/Keras, PyTorch, Transformers, etc.
- A strong curiosity for exploring new technologies, including AI
- A shared passion for and ability to demonstrate onX’s Company Values.
- Permanent US work authorization is a condition of employment with onX.
ADDED BONUSES
Though not required, we would be thrilled to consider candidates with any of the following:
- A history of engaging in AI development, from the early ML/NN (YOLO, Darknet) to the LLM era.
- Experience in monitoring and debugging production AI systems (inference, evals, judging, benchmarks) including cost and performance optimizations.
- Interest or experience in edge/on-device inference (MLX, JAX, transformers on TPU/NPU, etc.)
- Interest, experience or experimentation in training/fine-tuning transformer/diffusion models, dataset curation and captioning, etc.
THE ONX EXPERIENCE
onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.
While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.
Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
WHERE YOU CAN WORK
onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
HOW YOU’LL BE COMPENSATED
onX is committed to compensating all employees fairly and equitably for their contributions. Applicants can expect to make between $169,000 to $211,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.
WHAT WE’RE OFFERING YOU
- Competitive salaries, annual bonuses, equity, and opportunities for growth
- Comprehensive health benefits, including a no-monthly-cost medical plan
- Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
- 401k matching at 100% for the first 3% you save and 50% from 3-5%
- Company-wide outdoor adventures and amazing outdoor industry perks
- Annual “Get Out, Get Active” funds to fuel your active lifestyle
- Flexible time away package that includes PTO, STO, VTO, and paid holidays
PERFORMANCE ESSENTIALS
In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com.
Application Deadline is [day of week], [month] [day] at [0:00 pm] MST
Position open until filled.
#LI-Remote
At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!
onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.
As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.
Ready to apply?
Apply to onX
Data Scientist III - AI & Machine Learning
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ABOUT onX
We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.
We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.
Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.
We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.
Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.
ABOUT THIS OPPORTUNITY
We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.
WHAT YOU'LL DO
Essential Job Duties & Functions
- End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
- GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
- MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
- Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
- Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
WHAT YOU’LL BRING
- 5+ years in a professional Data Science role with a track record of deploying models at scale.
- Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
- Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
- Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
- Experience with ETL/ELT processes, specifically using dbt.
- A strong curiosity for exploring new technologies, including AI
- A shared passion for and ability to demonstrate onX’s Company Values.
- Permanent US work authorization is a condition of employment with onX.
Our Tech Stack
- Data Warehouse: BigQuery
- Orchestration: Airflow (Cloud Composer)
- Modeling: Vertex AI Pipelines, JupyterLab
- Deployment: Docker, GKE (Google Kubernetes Engine)
Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.
What Sets You Apart
- The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
- Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
- Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.
THE ONX EXPERIENCE
onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.
While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.
Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
WHERE YOU CAN WORK
onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
HOW YOU’LL BE COMPENSATED
onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.
WHAT WE’RE OFFERING YOU
- Competitive salaries, annual bonuses, equity, and opportunities for growth
- Comprehensive health benefits, including a no-monthly-cost medical plan
- Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
- 401k matching at 100% for the first 3% you save and 50% from 3-5%
- Company-wide outdoor adventures and amazing outdoor industry perks
- Annual “Get Out, Get Active” funds to fuel your active lifestyle
- Flexible time away package that includes PTO, STO, VTO, and paid holidays
PERFORMANCE ESSENTIALS
In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com.
Application Deadline is [day of week], [month] [day] at [0:00 pm] MST
Position open until filled.
#LI-Remote
At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!
onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.
As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.
Ready to apply?
Apply to onX