Sr Data Scientist

UST

$106K — $159K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's in Computer Science or related quantitative field from a prestigious institution.
  • Proven experience delivering impactful AI solutions in top tech firms, research labs, or leading consulting companies.
  • Over 3 years of specialized experience in developing large language models and autonomous agents.
  • Expertise with frameworks such as PyTorch, TensorFlow, and JAX.
  • Familiarity with orchestration tools like LangGraph and LangChain, and data infrastructures such as Pinecone and SQL.

Responsibilities

  • Develop proprietary foundation models to address high-stakes business challenges.
  • Architect sophisticated multi-agent systems for advanced problem-solving.
  • Engineer high-fidelity synthetic datasets for model training and evaluation.
  • Contribute to domain-specific fine-tuning using techniques like PEFT and RLHF.
  • Integrate advanced retrieval-augmented generation workflows into engineering processes.

Benefits

  • Minimum of 10 days of paid vacation annually and 6 days of paid sick leave.
  • Participation in a 401(k) retirement plan with employer matching.
  • Comprehensive health insurance for employees and their dependents, including medical, dental, and vision coverage.
  • Company-paid basic life and disability insurance benefits.
  • Voluntary options for additional short-term disability and Health Savings/Flexible Spending Accounts.
Full Job Description
Role description

Sr Data Scientist

Lead II - ML Engineering

UST is searching for a Sr Data Scientist with good experience with Agents and related frameworks & use cases fit for FinTech.

The opportunity:
• Develop Foundation Models: Contribute to the end-to-end development of proprietary foundation models and domain-specific fine-tuning (PEFT, RLHF) to solve high-stakes business challenges.
• Architect Agentic Systems: Engineer sophisticated multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows that integrate advanced RAG for complex, multi-step problem solving.
• Engineer High-Fidelity Data: Drive the synthesis of curated and synthetic datasets, ensuring data integrity for large-scale model pre-training, alignment, and benchmarking

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:
• Distinguished Academia: An advanced degree (PhD or Masters) in Computer Science or a quantitative field from a world-class institution.
• Elite Industry Pedigree: A proven track record of delivering high-impact AI solutions at top-tier tech firms, AI research labs, or leading management consulting practices.
• Deep Generative AI Mastery: 3+ years of specialized experience in LLM development, including the design of autonomous agents, architectural design of foundation models, and production-grade RAG pipelines.
• Technical Proficiencies: Frameworks: PyTorch, TensorFlow, JAX. Agent & LLM Orchestration: LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, LlamaIndex. Fine-Tuning & Ops: DeepSpeed, LoRA/QLoRA, vLLM, Triton Inference Server. Data & Vector Infra: Pinecone, Milvus, Weaviate, Spark, SQL.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Washington

Compensation Range: $106,000-$159,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

#UST

#CB

#LI-DU

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