Sr Machine Learning Engineer
SimpliSafe2 days ago
Base Salary
$153k - $204k/yr
Responsibilities
- Lead the architecture, deployment, and optimization of scalable ML model-serving systems for real-time and batch use cases.
- Collaborate with data scientists, engineers, and stakeholders to operationalize machine learning models.
- Develop release pipelines for ML models to support rapid, safe, and consistent deployments.
- Design, implement, and own production monitoring for ML models and systems.
- Manage AWS or other public-cloud infrastructure supporting ML workloads.
- Drive best practices for model versioning, observability, reproducibility, and deployment reliability.
- Participate in an on-call rotation as a first responder for software owned by the team.
Requirements
- At least 5 years of experience in software engineering, data engineering, or a related field, including at least 3 years focused on MLOps or ML infrastructure.
- Deep hands-on experience with AWS or similar public clouds, including compute, networking, container orchestration, and observability stacks.
- Hands-on experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools such as Terraform or CloudFormation.
- Proficiency in Python or similar programming languages and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring.
- Strong communication skills for collaboration with technical and non-technical teams.
- Preferred experience includes Ray, LLM production deployment, vLLM, distributed systems, Spark, Hadoop, Kafka, Kinesis, cloud security, IAM, compliance, prompt engineering, and LLM evaluation.
Benefits
- Hybrid work model with two core in-office days, typically Tuesday, Wednesday, or Thursday, and flexibility to work from home on other days.
- Target annual base pay range of $152,900 to $203,800, excluding additional compensation figures from the benefits summary.
- Total Rewards package that may include annual bonus participation, equity, medical benefits, retirement benefits, and lifestyle benefits.
- Free SimpliSafe system and professional monitoring for the employee’s home.
- Employee Resource Groups offering networking, mentoring, development, and advocacy opportunities.
- Mission-driven, inclusive workplace with reasonable accommodation support available.
Tech Stack
Categories
About SimpliSafe
SimpliSafe builds DIY wireless home security systems—sensors, smart locks, and cameras—sold direct to consumers with optional 24/7 professional monitoring on a subscription basis. Founded in 2006 and headquartered in Boston, it is privately held and majority-owned by Hellman & Friedman. Its systems are used in over 2 million U.S. homes and are available online and through retail partners.