Sr. Machine Learning Ops Engineer

United States - Remote

Sense

Leverage high-resolution data on smart meters. Engage customers, detect devices, balance loads, forecast demand, and pinpoint grid faults with precision.

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Our mission at Sense is to make all homes intelligent by keeping people informed about what's happening in their homes, and helping to make homes safer, more efficient, and more reliable.

At Sense, we are serious about having a real impact on climate change.

The technology team at Sense is looking for an experienced ML Operations Engineer to help the data science team scale and to deploy, monitor, and maintain machine learning models in production.

Responsibilities 

  • Design, build, and maintain model training and serving infrastructure for CI/CD
  • Collaborate with data scientists and data engineers to improve productivity by increasing automation for model training and experimentation workflows
  • Provide technical leadership to data engineers
  • Support annotation and ground truth collection through tool improvement and automation
  • Champion best practices for data science software development processes and serve as architect for shared data science software libraries
  • Work with the infrastructure guild to upgrade and patch libraries; maintain and optimize pipelines
  • Responsible for ensuring data science production software is robust and scalable
  • Identify and implement cost savings; monitor and manage costs

Requirements

Qualifications

  • 5+ years of experience designing, building, and maintaining production AI/ML applications
  • Strong programming skills (Python, C, etc.) 
  • Experience with ML libraries (PyTorch, scikit-learn, Tensorflow)
  • Cloud experience (AWS preferred)
  • Experience with frameworks such as MLFlow, Kubeflow, Airflow, Docker, etc.
  • Strong communication and collaboration skills 
  • Must be authorized to work in the U.S.

Benefits

  • Flexible time away policy
  • Paid parental leave.
  • A wide range of difficult and interesting problems to be solved.
  • Work with a small team of experienced entrepreneurs creating revolutionary technology.
  • Great opportunity to gain experience at a consumer smart home startup.
  • Competitive compensation and generous healthcare benefits.
  • A great office in Central Square in Cambridge, MA right by the Red Line
  • Compensation 170k to 190k
  • Stock Options and 401k with up to 10k match

Why Sense

Join Sense and be part of our mission to reduce global carbon emissions by making homes smart and more efficient. Our energy data and tools demystify home energy use, empower people to take command of their usage, and enable utilities to build a cleaner and more resilient grid.

Sense supports a diverse and inclusive workplace where we all learn from each other. We welcome candidates with backgrounds that are traditionally underrepresented in tech, and we strive to foster an engaging, respectful and supportive community where everyone feels empowered to do their best work. Sense is committed to be an equal opportunity employer.

  • Be a part of building something that will make a difference in the world.
  • Have a big impact at a VC-backed consumer startup that's doing big things:
    • Best Startups in Cambridge - Tech Tribune
    • "One of the world's top 100 AI companies" - VentureBeat
    • Clean Tech Company of the Year - New England Venture Capital Association
    • 50 on Fire - BostInno
    • Top 100 - Red Herring
    • Best Consumer AI Technology - AI Dev World
    • Global Cleantech 100

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow AWS CI/CD Docker Kubeflow Machine Learning MLFlow ML models Model training Pipelines Python PyTorch Scikit-learn TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Gear Parental leave Startup environment

Regions: Remote/Anywhere North America
Country: United States

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