Senior ML/AI Engineer

ML6 is a Machine Learning consulting company that builds end-to-end Machine Learning solutions. We help clients across various industries leverage the latest AI research to stay at the forefront of innovation. We are seeking a Senior ML/AI Engineer to join our team. In this role, you will be responsible for designing and implementing machine learning solutions that drive business value for our clients. You will work on innovative projects that leverage the latest AI research to solve complex problems. Our team includes professionals from top companies like Microsoft, Google, Amazon, and Uber, and we prioritize employee well-being with competitive salaries, equity options, and comprehensive benefits. We embrace a remote-first culture with flexible schedules.

Key Responsibilities:
* Lead the design and development of ML systems that optimize business processes for our clients.
* Drive architectural decisions for high-impact projects, ensuring scalability and reliability.
* Co-author long-term technical roadmaps that set the vision for ML scalability, performance, and engineering velocity.
* Set the standard for a culture of engineering and operational excellence.
* Build and nurture effective partnerships across engineering, product, and security teams.
* Lead and conduct design reviews for critical projects with a focus on system-level tradeoffs and ML scalability.
* Drive the design and implementation of 'secure by default' ML systems in collaboration with security teams.
* Act as a key stakeholder by engaging with clients and internal teams to understand business requirements.

Requirements:
* Proven experience leading complex engineering efforts focused on ML systems, data pipelines, and cloud infrastructure.
* Exceptional collaboration and communication skills to align stakeholders and lead cross-functional teams.
* A track record of contributing to long-term technical roadmaps and making thoughtful system-level tradeoffs.
* At least 8+ years of coding experience in languages like Python, with strong expertise in writing concurrent and distributed code.
* Extensive experience designing and building distributed systems, leveraging concurrency primitives, and optimizing ML performance.
* Deep expertise in ML systems, with familiarity across adjacent infrastructure domains.
* Hands-on experience with cloud providers such as AWS, GCP, or Azure, optimizing cost, performance, and scalability.