Applied Scientist

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New York / $60 - $75 hour

INFO

Salary
SALARY:

$60 - $75

Location

LOCATION

New York

Job Type
JOB TYPE

Contract

What You'll Do

Experiment and Develop

  • Lead the full model development lifecycle, from research and prototyping to production deployment.

  • Apply best practices for reproducibility, model governance, and high-quality software delivery.

Collaborate

  • Work closely with product, engineering, and research teams across multiple regions.

  • Mentor teammates, share knowledge, and contribute to a culture of technical excellence.

Deliver

  • Translate complex business needs into scoped, actionable ML and NLP projects.

  • Ensure timely, well-managed delivery in a dynamic, fast-paced environment.

Innovate

  • Explore new methods, frameworks, and model architectures.

  • Drive experimentation with emerging NLP, IR, and LLM techniques.

Inspire

  • Communicate findings clearly to both technical and non-technical audiences.

  • Help guide enterprise adoption of modern AI technologies.


Basic Qualifications

  • Master's degree in a relevant field or equivalent applied experience.

  • 3+ years building NLP, IR, or ML systems from inception through production.

  • Strong software engineering skills for prototyping and iterative development.

  • Demonstrated experience transforming research concepts into functional prototypes with clear objectives.

  • Ability to collaborate effectively within diverse, cross-functional teams.

  • Hands-on exploration of novel NLP or IR models to address real-world challenges.

  • Experience thriving in fast-paced, agile environments.

  • Excellent communication skills and strong data-driven decision making.


Technical Requirements

  • Solid understanding of classical ML methods for NLP tasks.

  • Strong knowledge of deep learning approaches, including transformer-based architectures.

  • Familiarity with the internals and behavior of large language models.

  • Experience working on text-heavy NLP projects.

  • Practical experience with Generative AI techniques such as:

    • prompt engineering

    • in-context learning

    • chain-of-thought prompting

    • prompt optimization and evaluation

    • controlled generation

    • function calling

  • Experience with RAG architectures, model fine-tuning, and creating training datasets.

  • Exposure to agentic frameworks (LangGraph, AutoGen, Semantic Kernel, etc.).

  • Proficiency in Python, Git, and cloud environments (AWS or Azure) for model development and deployment.

  • Experience with rapid prototyping, lightweight UIs, and agile iteration.


Preferred Qualifications

  • 5+ years designing NLP, IR, or ML systems in industry or research settings.

  • Background in building search or Q&A systems across large document corpora.

  • Experience with long-document summarization or high-volume text processing.

  • Familiarity with legal-tech or document-heavy enterprise workflows.

  • Publications at major conferences such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, or similar.

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