ML Engineer | Hybrid – San Francisco or Los Angeles
Berkley Hunt has partnered with a Tier 1 VC-backed startup at the forefront of innovation. They are building cutting-edge machine learning solutions that power next-generation products and drive real-world impact. As they scale, they are looking for an experienced ML Engineer to join their team and help shape the future of their AI-driven technology.
Responsibilities:
- Design, build, and optimize machine learning models for real-world applications.
- Develop and deploy scalable ML pipelines in production environments.
- Work closely with data engineers and software developers to integrate models into products.
- Research and implement state-of-the-art ML techniques to improve system performance.
- Collaborate with cross-functional teams to define ML strategies and best practices.
Requirements:
- 5+ years of experience in machine learning, deep learning, or related fields.
- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms (AWS, GCP, or Azure) and deploying ML models at scale.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Background in NLP, computer vision, or reinforcement learning is a plus.
