EvolutionIQ
Staff Machine Learning (ML) Engineer (AI / Insurtech)
EvolutionIQ, New York, New York, us, 10261
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Staff Machine Learning (ML) Engineer (AI / Insurtech)
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EvolutionIQ
1 month ago Be among the first 25 applicants
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About Us EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!
About You A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves.
In this Role, you will:
Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
Suggest and implement new features to improve model performance and business logic
Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI
Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries
Build ML models for production use, write and review production-quality PRs daily
Translate client business problems into ML problems
Build scalable machine learning models for claim time series forecasting, NLP text understanding, and generative AI solutions
Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets
Requirements & Skills
You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production
You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions.
You’re a team player who is solutions-oriented.
You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.
You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments.
You owned, deployed, and maintained model-serving pipelines in production
Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices.
Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments
Experience translating state-of-the-art research papers into production code
Accustomed to collaborating with data labelers and SMEs
Experience building production agentic systems
Even Better if You Have the following
Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
Experience with advanced statistical modeling, especially probabilistic programming
You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback.
Ambitious, collaborative, and empathetic values
A work style that is open to giving and receiving critical feedback and collaborating effectively across teams
Work-life, Culture & Perks
Compensation: The base salary range is $240-280K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries: Software Development
Referrals increase your chances of interviewing at EvolutionIQ by 2x
#J-18808-Ljbffr
Staff Machine Learning (ML) Engineer (AI / Insurtech)
role at
EvolutionIQ
1 month ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
About Us EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!
About You A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves.
In this Role, you will:
Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
Suggest and implement new features to improve model performance and business logic
Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI
Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries
Build ML models for production use, write and review production-quality PRs daily
Translate client business problems into ML problems
Build scalable machine learning models for claim time series forecasting, NLP text understanding, and generative AI solutions
Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets
Requirements & Skills
You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production
You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions.
You’re a team player who is solutions-oriented.
You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.
You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments.
You owned, deployed, and maintained model-serving pipelines in production
Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices.
Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments
Experience translating state-of-the-art research papers into production code
Accustomed to collaborating with data labelers and SMEs
Experience building production agentic systems
Even Better if You Have the following
Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
Experience with advanced statistical modeling, especially probabilistic programming
You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback.
Ambitious, collaborative, and empathetic values
A work style that is open to giving and receiving critical feedback and collaborating effectively across teams
Work-life, Culture & Perks
Compensation: The base salary range is $240-280K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries: Software Development
Referrals increase your chances of interviewing at EvolutionIQ by 2x
#J-18808-Ljbffr