Staff Machine Learning Engineer

Proficient in prompt engineering and developing LLM based features
Experience with methods of training and fine tuning LLMs, such as distillation, supervised fine-tuning and policy optimization
Experience in using AI productivity tools such as Cursor, Windsurf, etc.
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
6+ years of relevant experience with a Bachelor’s degree; or 4 years with a Master’s degree; or a PhD with no experience; or equivalent work experience
Solid expertise in Python
Solid Machine Learning / Deep Learning theoretical knowledge and hands-on experience
Experience with LLM benchmarking and evaluation is required; experience generating synthetic data is a plus
Ability to read and experiment with ideas from recent research papers
High level of creativity, quick problem-solving abilities, and adaptability
Effective communication skills to convey research findings to both technical and non-technical stakeholders

Use AI/ML expertise and creativity to apply existing methods and develop new ones to solve real-world challenges and datasets
Research, propose and implement appropriate models/techniques for LLM benchmarking
Participate in data collection and synthetic data generation, and generate custom benchmarks to evaluate diverse LLMs capabilities
Collaborate daily with a team of developers, applied research scientists, product managers, quality engineers and linguists, to produce quality software
Contribute to the implementation of tools to facilitate LLMs evaluation and perform model / error analysis
Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry
Potentially write research papers in collaboration with our Research Group, to be published to the most notorious AI Conferences
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality & high-impact solutions to our users