Group1001wd
Staff ML Engineer
Zionsville, Indiana · Staff+
Sponsorship not specifiedDetected 30 days ago
PythonSnowflakeAWSCloud PlatformsKubernetesTerraformCI/CDPlatform EngineeringMachine LearningTensorFlowPyTorchscikit-learnAirflowData ScienceMLOpsTest AutomationLeadershipCommunicationCollaborationMentoringPublic Speaking
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Group1001's culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes.
- This goal extends to how we hire and onboard our most valuable assets - our employees. *Please note, this position requires an in-person interview.
- As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML.
Responsibilities
- Partner with Data & Platform Engineering to define how ML workloads integrate with our Snowflake-Dagster-Palantir ecosystem
- Evaluate and recommend tooling for the ML stack-balancing build vs. buy decisions against our scale and compliance needs
- Optimize for cost and performance-right-sizing instances, spot instance strategies, auto-scaling endpoints, and efficient GPU utilization
- Mentor senior ML engineers and technical leads, developing the next generation of ML engineering leadership
- Demonstrated experience building ML infrastructure that others build upon-serving layers, feature stores, or MLOps tooling
- Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team.
Nice to have
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- Master's degree or equivalent experience preferred
- Experience in insurance or financial services with deep understanding of industry challenges
- Recognized expertise through conference presentations, publications, or industry speaking engagements
- Experience with enterprise-scale systems and complex technical environments
- Palantir Foundry, Kubernetes, Bedrock, cost optimization strategies for ML workloads
- 6-10 years in ML engineering, MLOps, or platform engineering with a focus on productionizing ML systems
- Track record of improving ML delivery velocity through infrastructure and automation
Skills
- building and operating inference infrastructure at scale
- automated model testing, validation gates, and deployment automation
- AWS & Cloud Infrastructure: Strong AWS experience-SageMaker, EKS/ECS, Lambda, Step Functions, S3, IAM
- infrastructure-as-code (Terraform, CDK, CloudFormation)
- Monitoring & Observability: Model monitoring, drift detection, alerting
- tools like Evidently, WhyLabs, SageMaker Model Monitor, or custom solutions
- Feature Engineering Infrastructure: Experience with feature stores (SageMaker Feature Store, Feast, Tecton, or similar)
- designing feature pipelines for both batch and real-time serving
- Experiment Tracking & Registry: MLflow, Weights & Biases, SageMaker Experiments, or similar
- establishing reproducibility and governance across ML projects
- Nice to Have: Palantir Foundry, Kubernetes, Bedrock, cost optimization strategies for ML workloads
- Strategic vision with ability to define long-term technical direction aligned with business goals
Compensation
- Our compensation reflects the cost of labor across several U.S. geographic markets.
- The base pay for this position ranges from $190,000/year in our lowest geographic market up to $215,000/year in our highest geographic market.
- Pay is based on factors such as market location, job-related skills, and experience.
Benefits
- Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001's benefits package.
- Employees (and their families) are eligible to participate in the Company's comprehensive health, dental, and vision insurance plan options.
- Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability.
- All employees (regardless of hours worked) have immediate access to the Company's Employee Assistance Program and wellness programs-no enrollment is required.
- Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued.
- Benefits Highlights:
Company info
- To do this at scale, we need robust ML infrastructure-not just great models.
- Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture.
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