Applied Scientist

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Manhattan / $60 - $65 hour

INFO

Salary
SALARY:

$60 - $65

Location

LOCATION

Manhattan

Job Type
JOB TYPE

Contract

Key Responsibilities

Experiment and Develop

  • Lead the end-to-end development of NLP and ML models, ensuring reproducible research, efficient experimentation, and scalable deployment.

  • Apply best practices in model management, data handling, and software delivery to deliver high-quality AI solutions.

Collaborate

  • Partner with cross-functional global teams to translate research into production-ready systems.

  • Mentor and elevate peers by sharing best practices and technical insights.

Deliver

  • Translate complex business challenges into well-scoped projects and deliver solutions efficiently in a fast-paced, agile environment.

  • Ensure accountability for timely, high-impact deliverables that align with organizational priorities.

Innovate

  • Explore and prototype new methods in NLP, IR, and Generative AI, leveraging emerging techniques such as transformer-based architectures, RAG frameworks, and agentic systems.

  • Contribute to a culture of experimentation and continuous learning.

Inspire

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

  • Advocate for AI adoption and best practices across the enterprise through demos, presentations, and collaboration.


Basic Qualifications

  • Master's degree in a relevant field (e.g., Computer Science, Computational Linguistics, Machine Learning) or equivalent experience.

  • 3+ years of hands-on experience building NLP, IR, or ML systems from ideation to deployment.

  • Strong software engineering foundation and prototyping skills.

  • Proven ability to translate research into impactful, production-level solutions.

  • Excellent collaboration and communication skills across diverse, cross-functional teams.

  • Demonstrated success applying novel IR or NLP models to real-world challenges.

  • Experience thriving in fast-paced, agile environments with evolving requirements.


Technical Qualifications

  • Deep understanding of classical machine learning and modern deep learning approaches for NLP (e.g., transformer architectures).

  • Familiarity with large language models (LLMs) and their underlying mechanisms.

  • Hands-on experience with Generative AI concepts, including prompt engineering, in-context learning, and function calling.

  • Experience implementing RAG frameworks, fine-tuning or pre-training language models, and curating training data.

  • Practical experience using agentic frameworks (e.g., LangGraph, AutoGen, Semantic Kernel) to build intelligent applications.

  • Proficiency in Python, Git, and cloud environments such as AWS or Azure.

  • Experience with lightweight UI development, rapid prototyping, and agile iteration.


Preferred Qualifications

  • 5+ years of practical experience building IR, ML, or NLP systems in academia or industry.

  • Background in search, question answering, or document summarization for large-scale datasets.

  • Experience building AI-driven solutions for document-heavy domains (e.g., legal, financial, or compliance).

  • Publication record at leading research venues (ACL, EMNLP, NAACL, NeurIPS, ICML, SIGIR, etc.).

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