Job details

Sr. Machine Learning Ops Engineer

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

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.

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

Average salary estimate

$180000 / YEARLY (est.)

min

max

$170000K

$190000K

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What You Should Know About Sr. Machine Learning Ops Engineer, Sense

At Sense, we’re on a mission to make homes intelligent, and we need a talented Sr. Machine Learning Ops Engineer to join our passionate team. By leveraging your expertise, you’ll play a key role in deploying, monitoring, and maintaining our machine learning models to help us drive efficiency and safety in homes. With over five years of experience in building and maintaining production AI/ML applications, you’ll design and optimize our model training infrastructure while collaborating closely with our data scientists and engineers. You’ll lead efforts to automate workflows, improve annotation tools, and champion best practices in our development processes. If you’re skilled in programming with Python or C, have experience with libraries like PyTorch or TensorFlow, and are comfortable navigating cloud technologies, we want to hear from you! You’ll find an agile, innovative workplace where your contributions are valued and impactful. Imagine working in a dynamic consumer smart home startup that’s not only gaining recognition in the industry but is also contributing to the fight against climate change. With flexible policies, competitive compensation, and a commitment to inclusivity, Sense is not just a job; it's a place to make a difference. Join us on this exciting journey and truly evolve the smart home landscape.

Frequently Asked Questions (FAQs) for Sr. Machine Learning Ops Engineer Role at Sense

What are the key responsibilities of a Sr. Machine Learning Ops Engineer at Sense?

As a Sr. Machine Learning Ops Engineer at Sense, your responsibilities will include designing and maintaining infrastructure for model training and serving, automating workflows for model training, and collaborating with data scientists and engineers to enhance productivity. You'll also lead data engineers, oversee production software robustness, and implement cost management strategies.