Applied Machine Learning Engineer
InferenceSan Francisco, California, United States
Posted January 5, 2026
220000 - 320000 USD
Full Time
About the Company
Inference delivers enterprise decision-management solutions, including a .NET Rules Engine, Business Rules Management System (BRMS), and data-driven decision analytics services, enabling organizations to operationalize big-data insights. With a decade of experience, the company builds predictive modeling and decision-architecture technologies that integrate seamlessly into existing workflows. Guided by a client-first philosophy inspired by Marvin Bower, Inference prioritizes client interests, honest assessment, and a commitment to delivering only work they can execute at the highest level. This disciplined, tailored approach to analytics and consulting sets Inference apart in the competitive analytics and management-consulting landscape.
Job Description
Help us build the systems that train specialized AI models for the fastest-growing companies in the world. We're a well-funded ten-person team of engineers who work in-person in downtown San Francisco on difficult, high-impact engineering problems.
Requirements
- 2+ years of experience training AI models using PyTorch
- Hands-on experience with post-training LLMs using SFT or RL
- Strong understanding of transformer architectures and how they're trained
- Experience with LLM-specific training frameworks (e.g., Hugging Face Transformers, DeepSpeed, Axolotl, or similar)
- Experience training on NVIDIA GPUs
- Strong data processing skills and comfortable building ETL pipelines and working with large datasets
- Track record of creating benchmarks and evaluations
- Ability to take research techniques and apply them to production systems
Benefits
- Competitive compensation
- Equity in a high-growth startup
- Comprehensive benefits
