1. About Our Client: This organization operates within the machine learning and artificial intelligence industry, focusing on building and deploying large-scale ML systems outside of research environments.

It addresses challenges related to operationalizing ML models in production, ensuring these systems meet accuracy, latency, and reliability requirements while managing real-world constraints such as cost and safety. 2. About the Opportunity: The Member of Technical Staff, Machine Learning role involves developing core ML components and working directly on production ML systems from the start.

The position is designed for engineers aiming to build strong systems judgment by shipping, debugging, and iterating on real-world machine learning solutions. This role contributes to the organization by enhancing ML models and infrastructure to deliver reliable, high-performing AI-powered features. 3.

Responsibilities

: • Build and improve ML components spanning data, training, evaluation, and inference. • Fine-tune and adapt models within larger production systems. • Implement evaluation and testing to assess model behavior. • Develop and maintain data pipelines for real-world and synthetic data. • Diagnose and resolve model issues, performance problems, and production incidents. • Deliver iterative improvements based on user feedback. • Collaborate closely with senior ML engineers and product teams. • Operate under production constraints including latency, cost, reliability, and safety. 4.

Requirements: • Strong foundation in machine learning and modern neural network architectures. • Experience in artificial intelligence is required. • Hands-on experience training, fine-tuning, or deploying ML models. • Ability to produce production-quality code and adapt to new tools quickly. • Curiosity, coachability, and eagerness to learn from production systems. • Capacity to handle ambiguity with guidance and progressively take ownership. • Focus on shipping, iteration, and continuous improvement. • Experience with tech stack including GPU, JAX, Python, and PyTorch. 5.

Pay Range and Compensation Package: • USD 160000 to USD 190000 yearly. 6. Benefits & Perks: • Medical insurance • Dental insurance • Vision insurance • Savings plan options • Paid time off (PTO) Equal Opportunity Statement: Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers.

We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.