Research Engineer / Machine Learning Engineer - B2B Applications: design and build state-of-the-art speech models, collaborate with software engineers and product managers, and optimize and scale models for performance and accuracy. Requirements include a Master's/ PhD degree in Computer Science, Machine Learning, or a related field, and 2+ years of professional engineering experience in relevant roles. Enjoy making AI technology accessible and impactful.
Requirements
- Master's/ PhD degree in Computer Science, Machine Learning, or a related field.
- 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies.
- Demonstrated experience in deep learning and transformers models
- Proficiency in frameworks like PyTorch or Tensorflow
- Strong foundation in data structures, algorithms, and software engineering principles.
- Familiarity with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
- Experience with speech models is a plus.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan