Machine Learning Engineer
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 (Named Entity Disambiguation), structured document extraction, automated database linking, 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
Kensho is looking for an ML Engineer 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.
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
Who You Are
-
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.
- Have 3+ years of experience being a major machine learning contributor at a top company, hedge fund, or university
- Experienced 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
That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:
Technologies We Love
- ML: PyTorch, DGL, NetworkX, XGboost, LightGBM, DVC, NVIDIA NeMo, HuggingFace, Weights & Biases
- Deployment: Airflow, Docker, Kubernetes, AWS
- Datastores: Postgres, Elasticsearch, SQLite, S3
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Classification Data visualization Docker Elasticsearch Excel HuggingFace Kubernetes LightGBM Machine Learning NLP Open Source PostgreSQL Python PyTorch Research TensorFlow 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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