Machine Learning Research Scientist

Voiceflow; San Mateo (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation against major LLM labs

Unlimited PTO

Flexible working arrangements

Conference attendance and publication support

Job summary

Voiceflow is seeking a full-time Machine Learning Research Scientist based in the San Francisco Bay Area. The role involves developing autonomous research systems and collaborating closely with the engineering team to build and deploy production-ready systems.

The ideal candidate holds a PhD in a relevant field and has a strong publication record in top-tier AI/ML conferences. The position offers competitive compensation, unlimited PTO, and opportunities for conference attendance.

Qualifications

• Exceptional candidates with strong research contributions are encouraged to apply without formal degrees.
• Experience in publishing at top-tier AI/ML conferences is a requirement.

Responsibilities

• Develop autonomous research systems with the founder.
• Collaborate with engineering on production-ready research systems.
• Fine-tune reasoning models for automating machine learning research.

Skills

Training machine learning models

Deep learning

Reinforcement learning

Curiosity for scientific discovery

Education

PhD in Computer Science or related field

Job description

Company Description

At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.

Role Description

This is a full-time on-site role for a Machine Learning Research Scientist located in the San Francisco Bay Area.

• Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
• Collaborate with the engineering team to build and deploy production-ready research systems.
• RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
• Stay current with the latest developments in AI research and automation.

Qualifications

• Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
• Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc.) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI, etc.).
• Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.
• Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.

Recommended Qualifications

• Systems: Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
• Science: Any background or proven interested in Automated Scientific Research is a plus.

Benefits & Perks

• Our comp is competitive against major LLM frontier lab packages
• Unlimited PTO and flexible working arrangements
• Conference attendance and publication support

Our Culture

We're a team of passionate researchers and engineers working to automate scientific discovery. We believe in the power of AI to accelerate scientific discovery and are committed to responsible AI development. We are an e-verify employer.