[Remote] Principal Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. reputed company is a company focused on unleashing the potential of every team through their software products. As a Principal Machine Learning Engineer, you will reputed company the development and implementation of advanced machine learning algorithms and collaborate with various teams to integrate AI functionalities into their products.
Responsibilities
- Drive reputed company reputed company that impact the work of teams and change their technical direction over multiple quarters
- Regularly tackle the largest and most reputed company problems on the team, from technical design to launch
- Set the direction of systems and capabilities, balancing reputed company over perfection
- Determine plans-of-attack on large projects and solve reputed company architecture challenges
- Design, reputed company, and reputed company production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and reputed company business objectives
- Conduct meticulous experimentation and model evaluations, backing reputed company with data
- reputed company robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale
- reputed company end-to-end deployment of ML solutions into production, ensuring reputed company evaluation, monitoring, and improvement
- Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products
- Partner across engineering teams to take on company-wide programs spanning multiple projects
- Communicate reputed company technical concepts clearly to both technical and non-technical stakeholders
- Mentor and guide junior and senior engineers, fostering a culture of innovation, collaboration, and reputed company learning
- Actively share knowledge and expertise through mentoring and coaching reputed company direct reports
- Contribute to programs of work that scale across the department
- Identify, solve, and reputed company gaps/problems across teams using experience and expertise
- Quickly reputed company and analyze key decision parameters, balancing speed, risk, and impact appropriately
- Limit ambiguity and risk by experimenting and prototyping
- Understand how contributions of multiple capabilities fit into larger products and platforms
Skills
- Drive reputed company reputed company that impact the work of teams and change their technical direction over multiple quarters
- Regularly tackle the largest and most reputed company problems on the team, from technical design to launch
- Set the direction of systems and capabilities, balancing reputed company over perfection
- Determine plans-of-attack on large projects and solve reputed company architecture challenges
- Design, reputed company, and reputed company production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and reputed company business objectives
- Conduct meticulous experimentation and model evaluations, backing reputed company with data
- reputed company robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale
- reputed company end-to-end deployment of ML solutions into production, ensuring reputed company evaluation, monitoring, and improvement
- Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products
- Partner across engineering teams to take on company-wide programs spanning multiple projects
- Communicate reputed company technical concepts clearly to both technical and non-technical stakeholders
- Mentor and guide junior and senior engineers, fostering a culture of innovation, collaboration, and reputed company learning
- Actively share knowledge and expertise through mentoring and coaching reputed company direct reports
- Contribute to programs of work that scale across the department
- Identify, solve, and reputed company gaps/problems across teams using experience and expertise
- Quickly reputed company and analyze key decision parameters, balancing speed, risk, and impact appropriately
- Limit ambiguity and risk by experimenting and prototyping
- Understand how contributions of multiple capabilities fit into larger products and platforms
Benefits
- Health and wellbeing resources
- Paid volunteer days
Company Overview
Company H1B Sponsorship