3 days ago
Base Salary
$114k - $228k/yr
Responsibilities
- Define the architecture and roadmap for ML platform capabilities including feature stores, training pipelines, model registries, deployment, and serving.
- Connect curated data and ML features while maintaining lineage from raw sensor data through model output.
- Build self-service training and deployment templates, tooling, and documentation for data scientists.
- Extend delivery pipelines with model-specific testing, validation gates, and approval workflows aligned with design controls.
- Implement monitoring for model performance, data drift, sensor data quality, alerting, and rollback.
- Build pipelines to package and deliver models to mobile and wearable devices.
- Support LLM and agentic services through prompt and model versioning and evaluation runs.
- Own ML tooling and training and inference cost decisions while partnering on infrastructure capacity, scalability, and reliability.
- Ensure the platform meets security, privacy, compliance, and audit-readiness requirements.
Requirements
- Bachelor’s degree in engineering, mathematics, computer science, or a related field.
- Minimum eight years of software or ML engineering experience, including at least three years deploying ML models on mobile or embedded devices.
- Hands-on experience with Azure ML SDK, Azure Data Factory, Databricks, MLflow, and Kubeflow.
- Strong Python proficiency, container experience with Docker and Kubernetes, infrastructure-as-code experience, and experience with a major cloud platform.
- Experience partnering with DevOps and SRE teams on shared infrastructure.
- Experience with data lakes, streaming or time-series data, feature stores, model monitoring, drift detection, and automated retraining.
- Preferred: master’s or Ph.D. in computer science, machine learning, or a related field.
- Preferred: experience in regulated industries, validated software environments, medical devices or SaMD, mobile or edge deployment, LLM operations, and high-volume IoT or wearable sensor data.
- Preferred familiarity with IEC 62304, ISO 13485, FDA guidance on AI/ML-enabled devices, and HIPAA.
Benefits
- The position can work out of the Alameda, California location.
- Career development opportunities with an international company.
- Eligibility for free medical coverage through the Health Investment Plan PPO in the next calendar year.
- Retirement savings plan with a high employer contribution.
- Tuition reimbursement, the Freedom 2 Save student debt program, and the FreeU education benefit.
- Equal opportunity employment and company diversity initiatives.
Tech Stack
Categories
About Abbott
Abbott is a NYSE‑listed healthcare company that develops diagnostics, medical devices, nutrition products, and branded generic medicines for clinicians and consumers. Founded in 1888 and headquartered in Abbott Park, Illinois, it sells products in more than 160 countries, including the FreeStyle Libre continuous glucose monitoring system. Revenue comes primarily from product sales to hospitals, clinics, and retail channels.