About the Role
The role involves developing and refining large language models, implementing efficient training pipelines, and deploying models into production environments with a focus on performance and scalability.
Responsibilities
- Design and implement machine learning models with emphasis on large language architectures
- Optimize training workflows for efficiency and speed
- Collaborate with research teams to translate prototypes into production systems
- Monitor model performance and iterate on improvements
- Develop tools for data preprocessing and evaluation
- Ensure models adhere to ethical and safety standards
- Work on prompt engineering and fine-tuning strategies
- Support deployment of models across different platforms
- Troubleshoot issues in model behavior and inference
- Contribute to version control and reproducibility practices
- Evaluate model outputs for accuracy and consistency
- Participate in code reviews and technical discussions
- Integrate feedback loops for continuous learning
- Maintain documentation for models and pipelines
- Stay current with advancements in language model research
- Assist in scaling infrastructure for distributed training
- Implement methods for model compression and distillation
- Work with datasets to improve training quality
- Ensure compliance with data privacy requirements
- Collaborate on benchmarking against state-of-the-art models
- Design experiments to validate model capabilities
- Support API development for model access
- Contribute to internal tooling for model monitoring
- Engage in cross-functional planning with product teams
- Help define best practices for model evaluation
Nice to Have
- Master’s or PhD in machine learning, computer science, or related discipline
- Published research in NLP or AI conferences
- Experience with multi-modal models
- Contributions to open-source machine learning projects
- Familiarity with model quantization techniques
- Experience with large-scale inference optimization
- Knowledge of responsible AI frameworks
- Prior work in a startup or fast-moving environment
Compensation
Competitive salary and equity package
Work Arrangement
Remote
Team
Small, agile team focused on advancing language model applications
About the Role
This position is central to building next-generation language technologies. You will work directly on improving model behavior, training efficiency, and deployment reliability. The focus is on practical implementation informed by cutting-edge research.
What We Value
We prioritize technical depth, curiosity, and the ability to ship high-quality code. Candidates should be comfortable iterating quickly and working with ambiguity in a remote-first environment.
Not available
