Machine Learning Engineer

2 days ago

New York, New York, United States Kensho Technologies Full time

Kensho is an 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, automated database linking, text classification, real world applications of large language models (LLMs) and more. We are continuously expanding our portfolio and are looking for passionate engineers to help us build and deploy state-of-the-art models across a variety of domains

Kensho is looking for graduating ML Engineers to join the group of Machine Learning Engineers working on one of the following products: Scribe, Link, Extract, NERD, or Classify. We are looking for talented people who share our passion for bringing to production robust, scalable, and highly accurate models.

Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on one of the following products: Scribe, Link, Extract, NERD, or Classify. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate models to production.

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 (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

Kensho states that the anticipated base salary range for the position is 120k - 130k. 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.

Technologies & Tools We Use:

Traditional ML: SKLearn, XGBoost, LightGBM
Deep Learning: HuggingFace, PyTorch, Transformers, GNNs, DGL, LangChain
Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS
EDA/Visualization: Pandas, Matplotlib, Jupyter, Weights & Biases
Tools/Toolkits: DVC, NVIDIA NeMo, MosaicML, LabelBox
Datastores: Postgres, OpenSearch, SQLite, S3, VectorDB

What You'll Do:

Conduct original research on large proprietary and open source data sets
Design, build and maintain scalable production-ready ML systems
Actively participate in the ML model lifecycle, from problem framing to training, deployment and monitoring in production
Partner with ML Operations team to deliver solutions for automating ML model lifecycle, from technical design to implementation
Work in a cross-functional team of ML engineers, Product Managers, Designers, Backend & Frontend engineers who are passionate about their product

What We Look For:

Outstanding people come from all different backgrounds, and we're always interested in meeting talented people Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we'd love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:
Bachelor's degree or higher with relevant classwork or internships in Machine Learning
Experience with advanced machine learning methods
Have strong statistical knowledge, intuition, and experience modeling real data
Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
Demonstrated effective coding, documentation, and communication habits
Exercise strong communication skills and can effectively express even complicated methods and results to a broad, often non-technical audience
[optionally] Have published in top-tier journals and conferences in ML domain

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

About Kensho

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. We were founded in 2013 and now serve as S&P Global's innovation hub. We continue to maintain our distinct, independent brand in order to best 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.