<p>Location: Minneapolis, MN</p><br/><p>Employment Type: Full Time</p><br/><p>Team: Engineering</p><br/><div><span style="font-size: 16px">Hi, we’re Gravie. Our mission is to improve the way people purchase and access healthcare through innovative,&nbsp;consumer-centric health benefit solutions that people can actually use.&nbsp;Our industry-changing products and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><b style="font-size: 16px">A Little More About Us:</b></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; We are quickly becoming one of the fastest growing health benefits companies in the country. We have received numerous awards and accolades, including Inc. Magazine Best in Business Gold Medal award in 2021, and JMP Securities Top 50 Private Companies in Insurtech in 2022.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Our customers like us. Our revenue churn is in the low single digits, in an industry where greater than 20% churn is common.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. We may not be the right place for everybody, but if you get energized by doing work every day that focuses on putting consumers at the front of the line, we could be a great place for you. It takes unique people and diverse perspectives to deliver our results. We encourage you to be your authentic self – we like you that way.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><b style="font-size: 16px">A Little More About The role:</b></div><div><span style="font-size: 16px">We are looking for a driven professional who possesses exceptional technical and leadership qualities to spearhead our Machine Learning (ML) team. This role is ideal for someone who is deeply passionate about technology and keen on employing the most current AI/ML methods to tackle significant, real-world problems.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><b style="font-size: 16px">You will:</b></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Shape and direct our AI/ML strategy to align with Gravie's objectives and strategic priorities, pinpointing opportunities where AI/ML can add significant value, and clearly articulating the value to leadership and the broader team.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Oversee the entire ML project lifecycle — from initial scoping, through roadmap development and milestone planning, to execution and analysis — ensuring timely and effective delivery of results aligned with success criteria.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure the ML team adheres to best ML practices and principles. Define and track key performance indicators (KPIs) to ensure timely and provide regular reports to executive leadership.&nbsp;</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Cultivate, mentor, and lead a ML team, fostering collaboration and professional growth while managing resources and budgets effectively.&nbsp;</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Work closely with various departments and stakeholders to align AI/ML initiatives with business needs, ensure smooth execution of ML roadmap, and communicate complex data insights to non-technical stakeholders.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Work closely with data management teams to ensure data infrastructure supports AI/ML initiatives and establish data governance policies to ensure the quality, accuracy, and security of data used by the ML team.&nbsp;</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Stay updated with advancements in AI/ML and continuously assessing their relevance and potential impact on Gravie’s strategic goals and vision.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Stay informed about legal and ethical considerations in AI/ML and ensure our AI/ML practices comply with relevant regulations and ethical standards.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><b style="font-size: 16px">You bring:</b></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A Master’s or Ph.D. degree in AI and Machine Learning, Statistics, Computer Science, or a related field.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5+ years of hands-on experience with successfully building and managing Machine Learning products end-to-end in the startup ecosystem, preferably within the healthcare or insurance sectors.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Deep understanding of AI/ML and statistical models, coupled with a substantial track record of applying these techniques effectively in practical, real-world environments.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Expertise and experience with standard machine learning development tools and libraries such as Python, Scikit-learn, Pandas, PyTorch, TensorFlow, HuggingFace, Anyscale, etc.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with ML tools and platforms essential for managing the full lifecycle of ML projects including data management (Spark and Databricks), model development and versioning (HuggingFace, Anyscale, Weights and Biases, MLflow, DVC), model deployment (AWS Sagemaker), automated pipelines for model training and testing, and CI/CD pipelines, among others.&nbsp;</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven experience in leading and developing talent within the ML team and managing ML projects end to end with a focus on strategic thinking and alignment with business.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent problem-solving skills, strategic thinking, and a proactive approach to challenges.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Exceptional ability in articulating complex concepts to non-technical stakeholders, connecting business requirements to technical areas, and managing various stakeholders and multiple projects effectively.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><b style="font-size: 16px">Extra credit:</b></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience in startups, particularly within the healthcare and insurance sectors.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Familiarity with data pipelines and data visualization tools like Tableau.</span></div><div><span style="font-size: 16px">·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Familiarity with healthcare regulations, and compliance standards.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><span style="font-size: 16px">Competitive pay is standard. Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, 16 weeks paid parental leave, paid holidays, cell phone reimbursement, education reimbursement, and 1 week of paid paw-ternity leave just to name a few.</span></div><div><span style="font-size: 16px">&nbsp;</span></div><div><span style="font-size: 16px">Join us at Gravie, where your expertise in machine learning can make a real difference in the way healthcare is accessed and utilized. We look forward to seeing your unique skills and perspectives in action, helping to shape the future of health benefits.</span></div><div><span style="font-size: 16px">&nbsp;</span></div>

Location: Minneapolis, MN

  

Employment Type: Full Time

  

Team: Engineering

  

Hi, we’re Gravie. Our mission is to improve the way people purchase and access
healthcare through innovative, consumer-centric health benefit solutions that
people can actually use. Our industry-changing products and services are
developed and delivered by a diverse group of unique people. We encourage you
to be your authentic self - we like you that way.



 **A Little More About Us:**

·       We know healthcare. Our company was founded and is still led by
industry veterans who have started and grown several market-leading companies
in the space.

·       We are quickly becoming one of the fastest growing health benefits
companies in the country. We have received numerous awards and accolades,
including Inc. Magazine Best in Business Gold Medal award in 2021, and JMP
Securities Top 50 Private Companies in Insurtech in 2022.

·       We have raised money from top tier investors who share the same long-
term vision as we do of building an industry defining company that will endure
over the long run. We are well capitalized.

·       Our customers like us. Our revenue churn is in the low single digits,
in an industry where greater than 20% churn is common.

·       Our culture is unique. We tend to be non-hierarchical, merit-driven,
opinionated but kind people who thrive working in a high-performance, fast-
paced environment. People at Gravie care deeply about making a positive impact
in the lives of the people we serve. We may not be the right place for
everybody, but if you get energized by doing work every day that focuses on
putting consumers at the front of the line, we could be a great place for you.
It takes unique people and diverse perspectives to deliver our results. We
encourage you to be your authentic self – we like you that way.



 **A Little More About The role:**

We are looking for a driven professional who possesses exceptional technical
and leadership qualities to spearhead our Machine Learning (ML) team. This
role is ideal for someone who is deeply passionate about technology and keen
on employing the most current AI/ML methods to tackle significant, real-world
problems.



 **You will:**

·       Shape and direct our AI/ML strategy to align with Gravie's objectives
and strategic priorities, pinpointing opportunities where AI/ML can add
significant value, and clearly articulating the value to leadership and the
broader team.

·       Oversee the entire ML project lifecycle — from initial scoping,
through roadmap development and milestone planning, to execution and analysis
— ensuring timely and effective delivery of results aligned with success
criteria.

·       Ensure the ML team adheres to best ML practices and principles. Define
and track key performance indicators (KPIs) to ensure timely and provide
regular reports to executive leadership.

·       Cultivate, mentor, and lead a ML team, fostering collaboration and
professional growth while managing resources and budgets effectively.

·       Work closely with various departments and stakeholders to align AI/ML
initiatives with business needs, ensure smooth execution of ML roadmap, and
communicate complex data insights to non-technical stakeholders.

·       Work closely with data management teams to ensure data infrastructure
supports AI/ML initiatives and establish data governance policies to ensure
the quality, accuracy, and security of data used by the ML team.

·       Stay updated with advancements in AI/ML and continuously assessing
their relevance and potential impact on Gravie’s strategic goals and vision.

·       Stay informed about legal and ethical considerations in AI/ML and
ensure our AI/ML practices comply with relevant regulations and ethical
standards.

·       Demonstrate commitment to our core competencies of being authentic,
curious, creative, empathetic and outcome oriented.



 **You bring:**

·       A Master’s or Ph.D. degree in AI and Machine Learning, Statistics,
Computer Science, or a related field.

·       5+ years of hands-on experience with successfully building and
managing Machine Learning products end-to-end in the startup ecosystem,
preferably within the healthcare or insurance sectors.

·       Deep understanding of AI/ML and statistical models, coupled with a
substantial track record of applying these techniques effectively in
practical, real-world environments.

·       Expertise and experience with standard machine learning development
tools and libraries such as Python, Scikit-learn, Pandas, PyTorch, TensorFlow,
HuggingFace, Anyscale, etc.

·       Experience with ML tools and platforms essential for managing the full
lifecycle of ML projects including data management (Spark and Databricks),
model development and versioning (HuggingFace, Anyscale, Weights and Biases,
MLflow, DVC), model deployment (AWS Sagemaker), automated pipelines for model
training and testing, and CI/CD pipelines, among others.

·       Proven experience in leading and developing talent within the ML team
and managing ML projects end to end with a focus on strategic thinking and
alignment with business.

·       Excellent problem-solving skills, strategic thinking, and a proactive
approach to challenges.

·       Exceptional ability in articulating complex concepts to non-technical
stakeholders, connecting business requirements to technical areas, and
managing various stakeholders and multiple projects effectively.



 **Extra credit:**

·       Experience in startups, particularly within the healthcare and
insurance sectors.

·       Familiarity with data pipelines and data visualization tools like
Tableau.

·       Familiarity with healthcare regulations, and compliance standards.



Competitive pay is standard. Our unique benefits program is the gravy, i.e.,
the special sauce that sets our compensation package apart. In addition to
standard benefits, Gravie’s package includes alternative medicine coverage,
flexible PTO, 16 weeks paid parental leave, paid holidays, cell phone
reimbursement, education reimbursement, and 1 week of paid paw-ternity leave
just to name a few.



Join us at Gravie, where your expertise in machine learning can make a real
difference in the way healthcare is accessed and utilized. We look forward to
seeing your unique skills and perspectives in action, helping to shape the
future of health benefits.



