Lead ML Engineer
Location
Poland
Posted
57 days ago
Salary
0
Seniority
Senior
Job Description
Lead ML Engineer
Intuition Machines
• Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance. • Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints. • Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels. • Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value. • Set technical standards and lead the development of scalable, testable, and high-performance applications. • Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization. • Work on systems that affect millions of users daily, scaling machine learning systems with billions of data points and millions of inferences per second. • Gain experience in architecting and scaling advanced ML solutions for real-world challenges, moving beyond standard approaches from research papers. • Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale.
Job Requirements
- 7+ years of experience building and maintaining large-scale production ML systems, with a focus on performance, scalability, and reliability.
- Proven experience as the owner or significant contributor to products used by tens of thousands of customers, with the ability to make complex design decisions.
- Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes.
- Strong problem-solving skills with creative approaches to overcoming technical challenges.
- Experience leading technical discussions, driving decisions, and setting technical standards for a team.
- Excellent written and verbal communication skills, with the ability to articulate complex technical topics to both technical and non-technical stakeholders.
- Familiarity with modern orchestration platforms (Kubernetes, containerization, microservice design) and distributed systems.
- Ability to identify, define, and segment complex research problems and drive innovative solutions that align with business and technical goals.
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