Founding Machine Learning Engineer

Tactivus • Mountain View, CA

19h

About The Position

Our client is a venture-backed startup focused on transforming how enterprises deploy and scale AI systems. Their platform simplifies and accelerates the deployment of customized, safe, and aligned AI solutions—going from concept to fully operational applications in days instead of months. Their core innovation includes proprietary alignment technology, leveraging cutting-edge research in reinforcement learning and AI safety. The client specializes in creating powerful AI evaluation systems tailored specifically to the brand values and strategic goals of leading global enterprises. Backed by top-tier investors, they are dedicated to building the future of safe, robust, and highly effective AI solutions. Join the client and be part of redefining what's achievable with AI! Role Overview As a founding ML Engineer, you'll significantly impact the client's core technology and product. You'll contribute directly to groundbreaking research, helping translate insights into robust, scalable production systems. Your work will primarily focus on enhancing the safety, reliability, and performance of advanced ML models.

Requirements

• PhD or Master's degree in Computer Science, Machine Learning, or a related technical discipline.
• 3+ years of experience in industry ML research roles or equivalent academic research experience.
• Deep expertise in fine-tuning open source LLMs, distributed training of large-scale models, or optimization of ML systems for performance.
• Strong understanding of foundational ML models (e.g., large language models), their architectures, and their practical applications.
• A history of meaningful contributions to research communities—open-source projects or publications in top-tier conferences (NeurIPS, CVPR, ICCV/ECCV, etc.).
• Solid software engineering fundamentals combined with proven empirical research skills.
• Excellent teamwork, communication, and presentation capabilities.

Responsibilities

• Contribute directly to groundbreaking research.
• Translate insights into robust, scalable production systems.
• Enhance the safety, reliability, and performance of advanced ML models.

Benefits

• Work directly with industry leaders and top researchers to push the limits of AI safety and performance.
• Collaborate closely with renowned global enterprise clients on impactful AI-driven initiatives.
• Be part of an ambitious, high-agency team with minimal ego and maximum commitment to excellence.
• Exceptional opportunity for rapid learning, professional growth, and doing impactful work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior