Full-Time Senior Machine Learning Scientist - Applied Research

• Develop novel and deployable ML models and solutions.
• Construct novel model architectures, loss functions, training methods, training loops etc.
• Keep abreast of the latest research advancements in AI and Deep Learning.
• Production level coding and software engineering proficiency is required.
• Ability to train on multiple GPUs and nodes.
• Dataset exploration, generation, design, construction and analysis.
• Code & model maintenance, code hardening.
• Presenting your work within the company as well as via publications in peer reviewed venues.

• Research and develop production grade Machine Learning models.
• Optimize models for scaled production usage.
• Work with colleagues to explore product issues and recommend innovative ML/AI based solutions.
• Work with subject matter experts to curate and generate optimal datasets.
• Explore and access SQL, no-SQL and web data and write efficient parallel pipelines.
• Review and design datasets to ensure data quality.
• Investigate weaknesses of models in production and work on pragmatic solutions.
• Utilize, adopt, and fine-tune off the shelf models, including LLMs.
• Write clean, efficient, and modular code with automated tests and appropriate documentation.
• Stay up to date with technology and platforms.
• Work with downstream teams to productionize your work.
• Communicate insights, as well as the behavior and limitations of models, to peers.
• Present and publish your work.

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