Staff Machine Learning Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Investigate and implement cutting-edge machine learning methodologies, such as large language models (LLMs), deep learning, and graph neural networks, to address intricate challenges throughout the organization.

• Work closely with management and stakeholders to establish strategic roadmaps and convert them into actionable quarterly initiatives.

• Create and implement scalable, secure systems utilizing advanced AI/ML technologies and industry-leading practices.

• Diagnose and resolve complex technical problems to enhance system reliability, scalability, and operational efficiency.

• Maintain the security, scalability, and architectural integrity of feature designs through comprehensive reviews across teams.

• Provide mentorship to other data professionals, including machine learning engineers (MLEs), within the organization.

⛳️ Requirements

• PhD in Computer Science, Statistics, Economics, or a related technical discipline, with a minimum of 5+ years of relevant experience, or a Master's degree with at least 8+ years of experience in machine learning and software engineering.

• At least 6 years of practical experience in designing, constructing, and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Causal Inference, Regressions, etc.

• A minimum of 4 years of experience in building and deploying AI/ML applications, including Reinforcement algorithms, Recommendation systems, and Generative AI.

• Strong problem-solving abilities with a proactive approach.

🏝️ Benefits

• Flexible working arrangements, including options for remote, on-site, and hybrid positions.

• Technology packages provided by the company for all team members.

• A collaborative, challenging atmosphere filled with forward-thinking team members.

• Significant growth opportunities, as evidenced by our history of promoting internally.

• Continuous business training and career development programs.

• Competitive salary aligned with market standards, including bonus compensation, quarterly profit sharing, and annual merit bonuses.

• Generous paid time off (PTO) and holidays, totaling 27.5 days in the first full year of employment.

• Comprehensive benefits package, including 401(K) matching, adoption assistance, parental leave, tuition reimbursement, extensive medical, dental, and vision coverage, along with various non-standard benefits that contribute to making us a Great Place to Work.