Full-Time Senior Machine Learning Scientist

Machine Learning is integral to the continued success of our company. You will join a global team of scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams to integrate Machine Learning into a broad suite of products. Your contributions will have global reach and scale.

Responsibilities:

• Research and develop production grade Machine Learning models.
• Optimize models for scaled production usage.
• Work with colleagues to explore product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.
• Work with subject matter experts to curate and generate optimal datasets.
• Investigate weaknesses of models in production and work on pragmatic solutions.
• Utilize, adopt, and fine-tune off the shelf models, including LLMs exposed via API and locally hosting LMs and other foundation models.
• Write clean, efficient, and modular code with automated tests and appropriate documentation.
• Work with downstream teams to productionize your work and ensure that it makes into a product release.
• Communicate insights to peers, subject matter experts, and product owners.
• Present and publish your work.

Requirements:

• Master's degree or PhD in Computer Science, AI, Machine Learning, or related field.
• At least 5 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering.
• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite.
• Academic publications in peer reviewed conferences or journals related to Machine Learning.
• Machine / Deep Learning development skills, including popular platforms.
• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families.
• Excellent communication and teamwork skills.
• Fluent in written and spoken English.

Bonus:

• Software development proficiency.
• Experience working with text data to build Deep Learning and ML models.
• Experience with deep learning in other modalities such as vision and speech.
• Familiarity in building front-ends for simple demos, POCs and prototypes.
• Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM.
• Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries.
• Essential dev-ops skills.

What is the last date for applying to the job?

Which countries are accepted for this remote job?