Head of AI Research

1 month ago

San Francisco, United States Rungalileo Full time

At Galileo, our mission is to make AI safe and available to all. Our roots lie in leading the creation of some of the world’s most widespread AI applications from Apple’s Siri to Google Speech. We believe that AI builders need well-crafted tools to create trustworthy and high-quality generative AI applications that will change how we work and live. In a few short years since its inception, Galileo is already used by Fortune 10 banks, Fortune 50 telecommunications companies, as well as AI teams at Reddit, Headspace Health and many others.

Role Description

Galileo is hiring an experienced Machine Learning Research leader for the Head of Applied Research role, to help spearhead state-of-the-art ML research initiatives in the incredibly exciting space of Large Language Models. This key leadership position would entail leading Galileo's ML Research organization, and requires a strong background in advanced machine learning research, particularly in the area of LLMs.

In this role, you will be responsible for shaping and executing the research strategy, managing a team of top-tier ML research scientists, and collaborating with cross-functional teams to translate research into productionized evaluation metrics and product features.

Main Responsibilities

  1. Research & Development: Oversee and contribute to ambitious research projects, particularly in the development, training and trustworthy application of advanced language models. Stay at the forefront of machine learning advancements and ensure the team is leveraging the latest research while pushing boundaries in our field.
  2. Leadership and Strategy: Define and execute an ambitious research strategy, aligning it with Galileo's long-term vision as well as near term OKRs with a keen focus on productizing the research on a regular basis. Inspire and lead a team of research scientists, fostering a culture of innovation, rigor and excellence.
  3. Publication and Thought Leadership: Drive the publication of high-impact research papers and represent Galileo at top-tier conferences and industry events. Establish Galileo as a leader in the machine learning research community.
  4. Mentorship and Development: Mentor, develop and grow the research org, providing guidance and support to help team members achieve their professional goals. Foster an environment of continuous learning and professional growth.

Minimum Qualifications

  1. Experience: 6-10 years of experience in cutting-edge machine learning research, with a strong track record of leading ML innovation.
  2. Leadership: Proven experience in leading and managing research teams of 5-10 scientists, with at least 1-3 years of leadership experience in reputable research organizations.
  3. Technical Expertise: Deep expertise in building and training machine learning models, particularly language models. Proficiency in PyTorch and/or TensorFlow, or similar model frameworks is essential.
  4. Publications: A strong publication record in top-tier machine learning conferences and journals, demonstrating significant contributions to the field.
  5. Collaboration Skills: Excellent interpersonal and communication skills, with a demonstrated ability to collaborate effectively with remote/cross-functional teams.
  6. Education: A Ph.D. or MS in Computer Science, Machine Learning, or a related field is highly preferred, but exceptional candidates with equivalent experience will also be considered strongly.

Why Galileo

  • Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally.
  • We obsess over our team’s culture driven by inclusivity, empathy and curiosity.
  • We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer:
  • Unlimited PTO
  • Parental leave – 100% pay for 8 weeks
  • Medical, Dental and Vision Insurance
  • 401 (K) Retirement Savings Plan
  • Early stage equity
  • Mental and Physical Wellness Stipend
  • Daily Lunch Stipend
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