Applied ML Engineer
| Company | Kognitos |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $120000 – $240000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proven experience in developing and deploying machine learning models in production environments.
- Expertise in fine-tuning techniques for large-scale models and optimizing resource usage.
- Strong intuition working with LLMs
- Familiarity with multimodal language models and their enterprise applications.
- Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Responsibilities
- Design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution.
- Optimize AI systems for multimodal applications, addressing real-world enterprise challenges.
- Innovate on fine-tuning techniques to maximize resource efficiency and improve model performance.
- Ensure AI systems are aligned to regulatory policies and deliver consistent business value.
- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions.
- Stay at the cutting edge of AI research, incorporating new advancements into Kognitos’ platform.
Preferred Qualifications
- Experience with agentic workflows and multi-agent systems.
- Knowledge of enterprise automation challenges and opportunities.
- Prior work in AI for non-consumer use cases, especially in large-scale enterprise environments.
- Familiarity with cloud platforms and distributed computing frameworks.