Senior Machine Learning Engineer
New York, New York
Technology – Engineering /
Full Time Employee /
Remote
We are looking to add a Machine Learning Engineer to our team. This role will be responsible for developing products that provide ML-powered insights to our customers and integrating those applications into the Cherre tech pipeline. Candidates must have an R&D / research background as well as industry-based engineering experience deploying models into production.
The work we do at Cherre touches multiple aspects of ML - the ideal candidate should be familiar with such diverse topics as deep learning, graph algorithms, and named entity resolution. Ability to implement algorithms at scale and experience with distributed computing / big data applications is critical - our knowledge graph has billions of edges!
Responsibilities
- Work within an agile fullstack scrum team to deploy ML models into production
- Develop new ML-based services that enhance our data capabilities
- Design and implement scalable and repeatable ML pipelines
- Collaborate with data engineering to design workflows for ingesting data streams required for ML applications
Requirements
- 2+ years software experience, preferably in an object-oriented language
- 3+ year experience deploying ML models in a production environment Industry-based experience with big data / distributed computing applications
- Familiarity with current NLP technologies
- Languages: Python, SQL
- Technologies: Airflow, Kubernetes, Docker, GCP stack
Nice to Haves
- Masters degree in Computer Science / Engineering discipline
- Publications / patents in the field of machine learning
- Technologies: Apache Spark
Starting Goals
- 30 Day
- Familiar with the Cherre tech stack
- Exposure to the Cherre release process
- Understands company and team goals
- Assigned a mini-project that they will own
- 60 Day
- Familiar with the existing Cherre ML pipeline
- Able to start contributing PRs
- Understands the types of data we ingest and common customer use cases
- 90 Day
- Contributing to the ML pipeline on a daily basis
- Mini-project is completed
Benefits
- Competitive Base Salary
- Equity
- Range of Healthcare Plans
- Paid Parental Leave
- Unlimited Vacation
- Flexible Work Schedule
- Compensation: $155,000-220,000/ year
