Founding Machine Learning Engineer
Description For Founding Machine Learning Engineer
Lynx is an innovative AI platform focused on investigating and resolving engineering incidents. As a founding Machine Learning Engineer, you'll play a crucial role in shaping both the product and company direction.
The role involves collaborating with the team to build and integrate cutting-edge machine learning algorithms for code generation and understanding. You'll take complete ownership of the ML stack, from data pipelines to production systems, while working on features that enhance developer experiences.
We're seeking someone with strong technical foundations - 4+ years of ML development experience, deep understanding of ML algorithms, and proficiency in Python and C++. A degree in Computer Science or related field is required. Experience with transformers, pre-training techniques, and familiarity with TensorFlow, PyTorch, and Huggingface is preferred.
The position offers significant opportunity for impact as an early team member. You'll be working directly with founders to build an AI platform that makes incident resolution faster and more reliable. The company deploys within customer firewalls for security, trains on permissively licensed repos, and fine-tunes on customer codebases for more relevant suggestions.
We offer competitive compensation including founding equity, flexible vacation policy, and comprehensive health benefits. This is an excellent opportunity for an experienced ML engineer looking to make a significant impact in developer tools and incident resolution through AI.
Responsibilities For Founding Machine Learning Engineer
- Collaborate with team to build and integrate state-of-the-art machine learning algorithms
- Take end to end ownership of the ML stack: data pipelines, model architecture, training, evaluation, inference, and production systems
- Design and implement new features and products to improve developer experiences
Requirements For Founding Machine Learning Engineer
- 4+ years of professional software development experience in machine learning
- Strong understanding of the mathematical foundation of ML algorithms
- Proficiency in Python and C++
- Excellent written and verbal communication skills
- BS, MS, or PhD in Computer Science or related field
- Previous experience with transformers models and pre-training techniques (preferred)
- Familiarity with TensorFlow, PyTorch, and Huggingface (preferred)
- Familiarity with AWS and GCP (preferred)
Benefits For Founding Machine Learning Engineer
- Founding equity and competitive market salary
- Flexible vacation/time-off policy
- Full health, dental, and vision insurance
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