Machine Learning Engineering Manager - Link
Remote
Kensho
Kensho develops cutting-edge products and technologies that transform businesses. We are the AI Innovation Hub for S&P Global.Kensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (NED), structured document extraction, record linkage, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us build and deploy state-of-the-art models across a variety of domains!
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.
About The Role
As a Machine Learning Engineering Manager at Kensho Link, you will be responsible for driving machine learning efforts as they relate to applied research and productionizing machine learning models for automated record linking. The Link team builds world-class solutions that map clients’ entities' data (companies, transactions, people, etc.) to unique ID numbers drawn from S&P Global’s world-class company database with precision and speed. As a manager, you would ensure the team is making measurable progress towards their goals, engaged & maintaining a healthy velocity, and you’ll provide technical insights and contributions to the team as well. The ideal candidate has a passion for working with structured data.
What You’ll Do
- Manage a dedicated team of Applied ML scientists and ML engineers who design, build and maintain state-of-the-art capabilities that power Kensho LINK
- Ensure that the team builds production-ready modeling code that can be scaled out to large volume of data
- Apply creative thinking to solve complex modeling problems
- Collaborate with the product, go-to-market, and engineering leaders to define the team’s strategic vision and the most promising problems to go after
- Grow, mentor, coach and develop your team members both professionally and technically
- Partner with our talent acquisition team to hire Applied ML scientists and ML engineers to expand the team
- Be hands-on to the extent that it makes sense for your team
Who You Are
- Have 5+ years of industry experience designing, building, evaluating, and maintaining robust and scalable production ML systems
- Have 2+ years of management experience
- Have experience mentoring and/or building a team of engineers. We are looking for someone who can think long term about hiring and training
- Have experience partnering with a product manager
- Have a deep understanding of modern ML system design, from problem framing to deployment and monitoring in production
- Are an innovation oriented person who can come up with out-of-the-box solutions
- Are a thoughtful and collaborative code reviewer and teammate
- Are highly organized and result-oriented
- Measure your professional success by your team’s success
Technologies We Love
- ML: Lightgbm, XGBoost, NetworkX, Weights & Biases
- Deployment: Airflow, Docker, Kubernetes, AWS
- Datastores: Postgres, SQLite, S3, Elasticsearch
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow ASR AWS Classification Data visualization Docker Elasticsearch Engineering Kubernetes LightGBM Machine Learning ML models NLP PostgreSQL Research Weights & Biases XGBoost
Perks/benefits: Career development Conferences Health care Medical leave Parental leave Pet friendly Startup environment Team events Unlimited paid time off
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