Machine learning techniques, MLOps tools, PyTorch, Scikit-learn, Statistical modeling, statsmodels, TensorFlow
Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. Our products are powered by state-of-the-art Machine Learning techniques that allow customers to unlock insights faster using Artificial Intelligence, including voice-to-text transcription, data extraction from documents and natural language processing that gives computers the ability to comprehend and analyze human language.
As a Manager for the ML Ops team you will work closely with Core Infra, Machine Learning, SRE and other engineering teams to codify best practices, standardize processes, build tools and frameworks that improve developer’s and modeler’s workflows, and help manage our growing inventory of state-of-the-art machine learning models.
At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/DC/MA) will be required for team meetings or company events.
Kensho states that the anticipated base salary range for the position is 180k - 250k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
What is ML Ops?
ML Ops is a set of practices that combines Machine Learning and DevOps, which aims to deploy and maintain ML systems in production reliably and efficiently. Software engineers develop a set of tools or practices for versioning, validating (data & model), deploying, scaling, and monitoring Kensho’s ML services. ML Ops includes managing the consumption and use of models in conjunction with the ML, API Services, SRE and Core Infra teams. ML Ops engineers may create tools to help prototype/build new models, monitor or retrain models (e.g. due to drift) over their lifespan, as well as decommission models that are obsolete or no longer meet performance requirements. ML Ops may help with creating multiple versions of models, trained or tuned for specific use cases or customers. MLOps may develop tools or processes to help end users discover ML.
What Will You Do?
A few qualities that will make you successful in this Team Lead role are:
What We Look For
At Kensho, we pride ourselves on providing top-of-market benefits, including:
- Medical, Dental, and Vision insurance
- 100% company paid premiums
- Unlimited Paid Time Off
- 26 weeks of 100% paid Parental Leave (paternity and maternity)
- 401(k) plan with 6% employer matching
- Generous company matching on donations to non-profit charities
- Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
- Plentiful snacks, drinks, and regularly catered lunches
- Dog-friendly office (CAM office)
- In-office gyms and showers (CAM, DC)
- Bike sharing program memberships
- Compassion leave and elder care leave
- Mentoring and additional learning opportunities
- Opportunity to expand professional network and participate in conferences and events
Kensho deploys scalable machine intelligence and analytics systems across the most critical government and commercial institutions in the world to solve some of the hardest analytical problems of our time.
Washington D.C., DC, USA
2-4 year
New York, NY, USA
2-4 year
Cambridge, MA, USA
2-4 year
New York, NY, USA
2-4 year
Washington D.C., DC, USA
2-4 year