Senior Machine Learning Engineer
Denver, Colorado, United StatesAll locationsDenver, Colorado, United StatesCharlotte, North Carolina, United StatesNew York, New York, United States Hybrid
$161,600–$202,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
What you'll bring
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Minimum 4+ years of experience in industry with a strong focus on ML solutions development and production deployment.
- Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
- Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
- Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies
- Familiarity with cloud platforms such as AWS or Azure.
- Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc.
- Experience developing and fine-tuning prompts on any of the GenAI services
- Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
- Passion for customer, innovation, product quality, service excellence, and test engineering
- The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
- Experience working with microservices/an API-based application paradigm.