Senior Data Scientist

Daxx; San Ramon, Seattle (CA, WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Daxx is seeking an enthusiastic Senior Data Scientist to help build a high-performance data analytics platform using cutting-edge big data technologies. This role involves researching innovative alignment methods for LLMs and collaborating with diverse stakeholders while working within a highly motivated team. Join us to contribute to transformative projects at a leading company in Silicon Valley.

Benefits

Opportunity to work on cutting-edge projects

Flexible schedule

Full benefits including medical, dental, vision

Professional development opportunities

Corporate social events

Qualifications

• Expertise in aligning LLMs using methods like SFT and RLHF.
• Fluency in Python or R for statistical programming.
• Ability to work autonomously in research projects.

Responsibilities

• Research approaches for safe alignment of LLMs with societal norms.
• Collaborate with technical stakeholders to tailor LLM usage.
• Monitor and ensure LLM efficiency and safety.

Skills

Machine Learning Principles

Statistical Programming

Research Agenda Development

Data Collection

Communication Skills

Education

PhD or advanced degree in Computer Science, Machine Learning, Cognitive Science, Psychology, Economics

Job description

Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. We are looking for an enthusiastic and technology-proficient Senior Data Scientist, who is eager to participate in the design and implementation of a top-notch big data solution that will be deployed at a massive scale.

Responsibilities :

1. Research how to best use techniques like Supervised Fine Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) to align LLMs.
2. Work with technical and non-technical stakeholders to align LLMs for specific use cases.
3. Research approaches to ensure LLMs are safe, preventing the generation of harmful content and maintaining alignment with societal norms.
4. Research scalable oversight mechanisms that enable efficient monitoring and control of LLMs as they grow in size and complexity, ensuring consistent alignment with predefined objectives.

Requirements :

• Strong understanding of machine learning principles, especially in the context of LLMs.
• Knowledge about different LLM approaches for aligning LLMs (SFT, RLHF, etc.).
• Ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out projects.
• Fluent in at least one statistical programming language such as Python (preferred) or R.
• Demonstrated experience in collecting data from human participants (e.g., surveys, experiments) with knowledge about data quality, data validity, etc.
• Strong verbal and written communication skills with the ability to work effectively across internal and external organizations and virtual teams.
• PhD or advanced degree in computer science, machine learning, cognitive science, psychology, economics, or similar (preferred).

What we offer :

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Full benefits including but not limited to medical, dental, vision
• Corporate social events
• Professional development opportunities

About Us : Grid Dynamics (Nasdaq : GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe. To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.