Senior Machine Learning Engineer
Remote, United States
- Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment
- 12 paid holidays and flexible paid time off
- 401(k) contributions
- Employee Resource Groups that build community
- Career growth opportunities
- An excellent work/life balance
- Own end-to-end development, training, productionization, evaluation, and improvement of machine learning systems to rank claim opportunities.
- Analyze and explore data to identify actionable opportunities from internal and 3rd party data.
- Research, implement, and launch new model architectures that drive business impact.
- Partner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers and analysts to design and build practical solutions.
- Implement MLOps best practices to streamline the development, deployment, and maintenance of machine learning models.
- Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.
- Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
- Experience working in a similar role, with a focus on machine learning or data science.
- Experience, developing, and deploying machine learning models in a production environment.
- Experience with scikit-learn, TensorFlow, PyTorch, in Python and/or Scala.
- Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations.
- Applied experience with contemporary natural language processing (NLP) tasks, techniques, and tools (e.g., entity extraction, seq2seq modeling, transformers, hugging face).
- Experience with Spark.
- Experience with operating ML pipelines in a cloud platform (e.g., AWS, GCP, Azure)
- A Master's degree or Ph.D.
- A quiet, distraction-free environment to work from in your home.
- A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads is required.
- The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply. Revecore is an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply. Must reside in the United States within one of the states listed below: Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, and West Virginia
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Data analysis EDA Engineering GCP Machine Learning Mathematics ML models MLOps NLP Pipelines Python PyTorch Research Scala Scikit-learn Spark TensorFlow Transformers
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance
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