Lead ML Engineer
Apply Now- Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale.
What we are looking for:
- 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.
What we offer:
- Fully remote position with flexible working hours.
- An inspiring team of colleagues spread all over the world.
- Pleasant, modern development and deployment workflows: ship early, ship often.
- High impact: lots of users, happy customers, high growth, and cutting edge R&D.
- Flat organization, direct interaction with customer teams.
We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!
Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.