Staff Machine Learning Engineer, Gen AI
Mozilla
Engineering & Technology
Job Summary
A Staff Engineer is the next level from a Senior Engineer. At Mozilla this role can vary but typically a Staff Engineer is a domain expert who leads others within a single team to tackle multi-month projects. Tasks that may be initially ambiguous or require significant planning and require them to influence or direct the work of several engineers.
- Minimum Qualification: Degree
- Experience Level: Senior level
- Experience Length: 6 years
Job Description/Requirements
What you’ll do...
- Lead the design, development, and integration of Generative AI solutions in Firefox, collaborating cross functionally with product management, full stack engineering and design.
- Build, fine-tune and evaluate LLMs and GenAI models for use cases on the web and mobile Firefox product experiences.
- Implement robust validation and testing procedures to ensure the developed models' generalizability and reliability
- Continuously monitor and optimize deployed models for performance and efficiency
What You Bring…
- 6+ years experience as a Machine Learning engineer with working knowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet.
- Experience with fine-tuning and evaluating LLM models.
- Experience working in machine learning tooling and infrastructure for training, deploying and inference of models.Â
- Analytical ability to apply and solve sophisticated machine learning problems spanning web and mobile experiences.Â
- Strong problem-solving skills and ability to communicate complex concepts to technical and non-technical stakeholders.
- Experience with design of experiments, survey design, and large-scale AB testing.
- Experience working collaboratively with product managers, project managers, and/or other non-engineering teams.
- Good written and verbal English communication skills and have participated effectively on a distributed team.
- Commitment to our values:
- Welcoming differences
- Being relationship-minded
- Practicing responsible participation
- Having grit
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