EvolutionIQ Logo

EvolutionIQ

Senior Machine Learning (ML) Engineer (AI Insurtech)

Posted Yesterday
In-Office or Remote
2 Locations
190K-225K Annually
Senior level
In-Office or Remote
2 Locations
190K-225K Annually
Senior level
Design, build, and deploy scalable ML models for claims forecasting and NLP; perform exploratory data analysis, feature engineering, model evaluation, and production-quality code reviews; translate business problems into ML solutions and maintain model-serving pipelines.
The summary above was generated by AI

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. 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 and Built In’s Best Places to work in 2025 and 2026!

About You: A Senior Machine Learning Engineer 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:

  • Build ML models for production use
  • 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
  • Write and review production-quality PRs daily
  • Translate client business problems into ML problems
  • Build scalable machine learning models for claim time series forecasting and NLP text understanding
  • 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:

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments.
  • You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions.
  • You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences.
  • You’re a team player who is solutions-oriented.
  • Experience leveraging Claude Code and related tools is a strong plus

Even Better if You Have the following:

  • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
  • Owned and deployed, and maintained model-serving pipelines in production
  • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
  • Experience with advanced statistical modeling, especially probabilistic programming
  • 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 $190-225K, 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.

HQ

EvolutionIQ New York, New York, USA Office

Located in the heart of Manhattan's iconic Flatiron District, our neighborhood melds modern urban flair with deep-rooted heritage. It is a short walk to the beautiful Madison Square Park and a variety of trendy eateries, cafes, and shops.

Similar Jobs

12 Days Ago
Easy Apply
Remote or Hybrid
IN, USA
Easy Apply
160K-200K Annually
Senior level
160K-200K Annually
Senior level
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
The Senior Machine Learning Engineer will develop and implement machine learning models, work with stakeholders, and drive AI solutions for complex data engineering challenges while ensuring high-performance operations.
Top Skills: C++DockerGoJavaKubernetesPythonPyTorchRustScalaScikit-LearnTensorFlow
Yesterday
Remote or Hybrid
United States
119K-201K Annually
Senior level
119K-201K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.
Top Skills: AirflowAWSCloudbeesDbtFeastGoJenkinsKafkaPythonPyTorchQlikScikit-LearnShell/BashSnowflakeSQLTableauTensorFlow
25 Days Ago
Remote
US
Senior level
Senior level
Healthtech • Software
As a Senior Machine Learning Engineer, you'll design and develop infrastructure and models for AI-powered applications while collaborating with teams to enhance product functionality.
Top Skills: AWSDagsterDvcGCPGkeGoJavaJupyterKubeflowKubernetesLlmsMlflowPostgresPythonTriton Server

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account