Senior ML Ops Engineer

At Kensho, we hire talented people and give them the autonomy, support, and resources needed to build cutting edge technology and products for our parent company, S&P Global. As a result, we produce technology that solves the challenges of one of the world’s largest, most successful financial institutions.

 

As an MLOps Engineer, you are a thoughtful, collaborative, and resourceful technologist who is passionate about designing effective tools, enabling ML engineers to build, test, and manage high quality production-ready models. You have a strong desire to work on an internal team and to provide value to your fellow engineers. You have experience developing and working with tools for model serving, model monitoring, model and data lineage, dataset versioning, ML experimentation, EDA or model optimization, and are excited to bring your unique skills to our interdisciplinary team. While you are detail-oriented, you excel at looking at a problem from a high level, gathering requirements from multiple stakeholders and pitching solutions.

 

Are you looking to make impactful, scalable contributions that streamline the way we build and ship software and models? If so, we would love to help you excel here at Kensho. We take pride in our tightly-knit, team-based community that provides our Kenshins with a collaborative, supportive environment.

 

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/MA) will be required for team meetings or company events.

 

Kensho states that the anticipated base salary range for the position is 150k-225k. 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 You'll Do:

• Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the modeling workflow — from annotating data to deploying and monitoring models — robust, auditable, and usable
• Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions
• Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into stable, demonstrable prototypes
• Provide resources and training for ML teams on best practices, enabling them to efficiently productionize their work to be leveraged by high-value products and services
• Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into existing infrastructure
• Establish scalable, efficient, and automated processes for ML model training and evaluation
• Develop processes and tools to help monitor ML models in production, detecting performance, model drift, and decay
• Promote industry best practices and strengthen the technical expertise of the team with your unique skill set
• Maintain a close relationship with Core Infrastructure to ensure solutions provide the right level of abstraction on top of our compute infrastructure

What We Look For:

• At least 3 years of experience as a Machine Learning Engineer, ML Ops Engineer or alike
• Desire to build internally to improve developer efficiency and experience
• Familiarity with the process of prototyping, building, and deploying an ML model to production
• Experience managing resilient distributed systems with Kubernetes
• Experience with Data Engineering technologies
• Experience with continuous integration frameworks
• Proficiency in Python
• Experience with shell scripting (Bash, Sh) and package managers (pipenv, poetry, npm)

How to Really Get Our Attention

• Experience building and/or deploying cloud-native services, especially related to model serving and monitoring
• Open source projects showing innovation and initiative
• Has built both proprietary software as well as integrated third party software

Technologies We Like

• Git
• Ubuntu linux or similar
• Kubernetes
• Docker
• Airflow
• Prometheus
• Django
• Kafka
• Sentry
• Pytorch
• LightGBM
• Scikit-learn

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 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.

 

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

 

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.