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Staff LLM Data Scientist at Tifin
Job details
WHO WE ARE:
TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, SEI, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.
We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.
In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.
OUR VALUES: Go with your GUT
- Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
- Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.
- I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.
WHAT YOU'LL BE DOING:
TIFIN is looking for a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work on generative AI products across various holdings for our early-stage ventures. This person will work end-to-end, training, and productionalizing models, as well as focus on language translation. We are looking for a creative thinker who can be hands-on. The ideal candidate is passionate about Generative AI and LLM and their application in the investment space.
You must be a motivated and tenacious self-starter who is comfortable interpreting technology requirements, based on business requirements, and implementing them with maximum impact on the users. You will be expected to develop technology that minimizes technical debt while maximizing the customer experience. This is a high-impact role on a lean team that is results-and execution-oriented. We are a team of do-ers!
THE ROLE:
- Design and fine-tune open source and proprietary LLMs for various tasks such as answering questions, summarization, reasoning and planning, etc.
- Build advanced Retrieval Augmented Generation (RAG) pipeline including rewriting, embedding fine-tuning, hybrid search, reranking, knowledge graphs, etc.
- Implement a comprehensive evaluation framework and metrics for model performance
- Deploy models into production environments and ensure low latency, reliability, and scalability.
- Collaborate with product team and software engineering team to build end-to-end product systems.
WHO YOU ARE:
- Ph.D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field
- Experienced in the field of NLP/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), advanced RAG pipelines
- Excellent knowledge of LLM evaluation methods and metrics
- 6-8+ years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch
- 2+ years of practical experience in the development of generative AI applications
- Experience using LLMs to translate different languages
- Publications at reputable machine learning conference or journal
- Proficient in Python and SQL
- Analytical and problem-solving skills
- Ability to visualize data in the most effective way possible for a given project or study
- Thrives in a highly demanding, entrepreneurial, and fast-paced environment
- 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
COMPENSATION AND BENEFITS PACKAGE:
The expected starting salary range for this position is between $190,000 - $225,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law.
TIFIN offers a competitive benefits package that includes:
- 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, 6 week paid paternity leave
- Corporate Social Responsibility and volunteering opportunities
- Access to our Chief Mindfulness Officer for Mindfulness events and 1:1 personal coaching
- Company sponsored events like Qi Gong, mindfulness events, development workshops, team dinners, pickleball games, happy hours, holiday parties and more!
- The ability to make a real impact in an incredibly fast-growing organization
A note on location. While we have team centers in New York City, San Francisco, Charlotte, Mumbai, Bangalore and Madrid, TIFIN is headquartered in Boulder, CO and our preference is to build the team here whenever possible, so relocation packages are available for any candidate willing to relocate to the Boulder area.
TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.