LLM Staff Data Scientists

Woods & Co; United States; On-site; USD 180,000 - 225,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Flexible Spending Account (FSA)

Health Savings Account (HSA)

401(k) Retirement Plan

Flexible PTO policy

Company-paid holidays

Parental Leave

Corporate Social Responsibility opportunities

Company-sponsored events

Job summary

An innovative start-up in the financial services sector is seeking a Director to lead their Data Science team. This role offers a unique opportunity to design and fine-tune cutting-edge open-source and proprietary large language models (LLMs) using reinforcement learning techniques. You will play a critical role in building advanced Retrieval Augmented Generation (RAG) pipelines, optimizing inference models, and deploying them into production environments. Join a dynamic organization that values collaboration and creativity, where you can make a substantial impact in a fast-paced environment. If you're passionate about AI and eager to drive innovation, this is the perfect opportunity for you!

Qualifications

• 2+ years in generative AI applications and LLM development.
• Hands-on experience with LLM fine-tuning and inference frameworks.

Responsibilities

• Design and fine-tune LLMs using reinforcement learning.
• Build and optimize RAG pipelines for enhanced performance.
• Collaborate with teams to develop end-to-end product systems.

Skills

Reinforcement Learning

LLM Fine-tuning Techniques

Analytical Skills

Problem-solving Skills

Communication Skills

Education

Ph.D. in Computer Science

Master's in Mathematics

Bachelor's in Engineering

Tools

vLLM

RAG Pipelines

Job description

This range is provided by Woods & Co. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $225,000.00/yr

Additional compensation types

Annual Bonus and Stock options

Woods & Co Recruitment have partnered with a start-up building AI for the wealth space leveraging supervised learning or Generative AI solutions. With strategic industry partners, this company is growing their Data Science team to drive collaboration, knowledge sharing and innovation.

The successful candidate will thrive in a fast-paced environment and have previous experience with end-to-end productionalization, building RAG pipelines and fine-tuning using reinforcement learning. You will adhere to established guidelines, remain open to direction and feedback, integrate diverse perspectives, and focus on the task at hand while contributing innovative ideas.

What’s in it for you?

• $180,000 - $225,000 salary | Performance-linked variable compensation, including equity
• Medical, dental, vision, life and disability insurance
• Flexible Spending Account (FSA) and Health Savings Account (HSA)
• 401(k) Retirement Plan
• Flexible PTO policy and Company-paid holidays
• Parental Leave: 12 week paid maternity, 4 week paid paternity leave
• Corporate Social Responsibility and volunteering opportunities
• Company-sponsored events like Qi Gong, Lunch & Learns, Development Workshops, Dinners, Happy Hours, and more!
• The ability to make a real impact in an incredibly fast-growing organization

What do you do?

• Design and fine-tune open source and proprietary LLMs for various tasks using reinforcement learning.
• Build advanced Retrieval Augmented Generation (RAG) pipelines.
• Design, build, and optimize inference models to improve model performance and accuracy.
• Deploy models into production environments and implement metrics for model performance.
• Collaborate with product team and software engineering team to build end-to-end product systems.

What do you need?

• Experienced in the field of LLM and well-versed with the current and latest state-of-the-art research.
• Hands-on experience in various LLM fine-tuning techniques (e.g. LORA), LLM inference frameworks (e.g. vLLM), and advanced RAG pipelines.
• 2+ years of practical experience in the development of generative AI applications.
• Experienced in inference modelling and computer use is highly preferred.
• Ph.D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field with publications at reputable machine learning conferences or journals.
• Analytical and problem-solving skills.
• Is a top performer and has a proactive, "doer", and problem-solver mentality.
• Is highly flexible, has a good tolerance for ambiguity, and can quickly adapt to changing priorities.
• Is an exceptional team player with solid communication skills.

If you're as passionate about this position as we are then please don't delay and APPLY NOW! We are interviewing immediately! To find out more about this position please call Lucy on [phone] or email [e-mail]

Woods & Co Recruitment is committed to creating a positively diverse and inclusive workforce that values all backgrounds and experiences. We do not discriminate and encourage applications (no matter age or status), people from culturally and/or linguistically diverse backgrounds, all members and genders of the LGBTQI community and people with disability.

Seniority level

Director

Employment type

Full-time

Job function

Engineering, Production, and Information Technology

Industries

Financial Services and IT Services and IT Consulting