Remote Senior Machine Learning Engineer

Summary

Join us as we transform cyber security, user privacy, and machine learning online! We are seeking a Machine Learning Engineer to build scalable multimodal (language and vision) ML models, deploy ML solutions to production, mentor fellow engineers, and contribute to our technical roadmap.

Requirements

• Thoughtful, conscientious, and self-directed individual
• 5+ years of professional experience in ML
• Proven experience with the entire modeling lifecycle: building, evaluating, debugging, and productionalizing large ML models
• Strong experience with fine-tuning and deploying LLMs and large vision models
• Experience with generative vision and language models
• Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc
• Bachelor's Degree or an equivalent in a technical or related field from an accredited college or university, or equivalent job experience
• Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers

Responsibilities

• Implement, fine-tune, and evaluate the latest LLMs, large vision models, and multimodal approaches
• Clearly present the results of your experiments, including standard metrics and business goal evaluations
• Implement and deploy solutions iteratively: from POC to MVP to full-scale production
• Translate business requirements into technical specifications for language, vision, or multimodal solutions
• Provide technical mentorship to other ML engineers and researchers
• Iterate quickly, focusing on early and frequent deployment to ensure new products or features reach millions of users
• Write well-structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests
• Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability
• Provide technical input to the research and engineering roadmap

Preferred Qualifications

• Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus)
• Software engineering/development experience with large-scale distributed systems
• Ability to collaborate with ML DevOps engineers to integrate your work into our infrastructure, including automating observability, deployment, quality, and security

Benefits

• 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 diversity and are committed to creating an inclusive environment for all members of our team