Personalized precision heart health
Senior Machine Learning Software Engineer
Location
United States + 1 moreAll locations: United States, Portugal
Posted
14 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- 7+ years of experience in software engineering for ML production or ML platform delivery.
- Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
- Proficiency in Python (required), Java, or similar, with software engineering best practices for ML workflows.
- Experience with unit, integration, and pipeline-level testing for ML models, including data validation, correctness checks, and reproducibility.
- Familiarity with cloud platforms (AWS preferred: SageMaker, S3, EC2) and reproducible ML pipelines.
- Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data platforms (SageMaker, Databricks, Unity Catalog, Snowflake/Snowpark) to build scalable ML data pipelines and model workflows.
- Strong collaboration skills to work effectively with AI scientists, software engineers, and regulatory teams.
- The base salary range for this role varies by location and is aligned to market benchmarks.
- Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
- Final compensation is determined based on location, experience, skills, and internal equity.
Benefits
- This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
- Base Salary: $153,000 - $179,000
- TTC: $176,000 - $206,000
- Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.
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