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Undisclosed · 2 weeks ago

Principal Applied Scientist - Technical Lead

United States

Full-time

Remote

Lead/Staff

$285K/yr - $400K/yr

10+ years exp

Undisclosed company is seeking a Principal Applied Scientist/TLM who will set the standard for the applied science team and grow into a Head of ML over time. This role blends technical leadership, hands-on research and development, and team management, focusing on large-scale AI and machine learning initiatives.

Financial Services

Responsibilities

Lead, mentor, and develop a team of applied scientists, fostering a culture of innovation, collaboration, and excellence

Define and drive the scientific strategy and roadmap for large-scale AI and machine learning initiatives

Provide hands-on technical leadership across the full model lifecycle, including: fine-tuning, and deploying large-scale NLP and generative models

Designing and implementing robust retrieval-augmented generation (RAG) systems and advanced question-answering frameworks

Building scalable, efficient data processing pipelines (ETL) for diverse and complex datasets

Collaborate cross-functionally with engineering, product, and business stakeholders to translate research outcomes into reliable production systems

Evaluate and integrate state-of-the-art techniques, frameworks, and tools to elevate the organization’s technical capabilities

Lead scientific exploration, hypothesis testing, and experimentation to solve ambiguous, high-impact problems

Drive best practices in model evaluation, performance monitoring, data quality, and reproducibility

Qualification

Machine LearningNatural Language ProcessingModel DeploymentPythonDeep Learning FrameworksCloud PlatformsResearch PublicationsCommunication SkillsTeam Leadership

Required

10+ years of relevant ML/AI industry experience, 3 those in a Technical Lead or TLM position

Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Statistics, or a related field

Experience in software development with one or more programming languages (e.g., Python) and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems

Deep expertise with machine learning and AI, particularly in NLP

Strong experience in model deployment at scale, production-grade ML systems, and real-world data challenges

Excellent communication skills, with the ability to clearly present complex ideas to both technical and non-technical audiences