Job Description

Staff Applied Scientist

Location : Hybrid in New York, New York (open to fully remote)

Compensation : $230,000 - $250,000 base salary + bonus + benefits

About the Company :

We are partnering with a leading financial services company in the legal space, driving innovation through AI. This company is at the forefront of transforming the way AI interacts with financial and legal professionals, creating smarter, faster, and more cost-effective models. As they scale their product, they are looking for leading NLP researchers to focus on novel NLP development. This is an exciting opportunity for someone to have a significant impact on the future of AI in a highly-regulated industry.

THE ROLE

As a Staff Applied Scientist , you will play a crucial role in developing novel machine learning and LLM models tailored for the legal and financial services domain. Your work will directly shape the company's AI capabilities, and you will report directly to the C-suite.

• Innovate and Build : Develop novel machine learning and LLM models from the ground up, tailored for the legal industry and open-source environments.
• Technical Leadership : Collaborate closely with C-suite executives to define and execute technical direction. You will be integral to decision-making and strategy.
• End-to-End Ownership : From research to production, you will lead the development of Proof-of-Concepts (PoCs) and build out platforms from scratch (0-1 development).
• Model Optimization : Lead efforts to optimize prompts, models, and inference strategies, ensuring continuous improvement and efficiency.
• Thought Leadership : Act as a thought leader in the domain of LLMs, both within the company and the broader AI community. Educate and guide non-technical stakeholders.
• Research Contribution: Own novel models and applications leading to patents and publications in top NLP journals.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced Staff Applied Scientist with the following qualifications:

• 5+ years of commercial experience in NLP, with a focus on building production-ready language-based models.
• Proven experience in building NLP platforms and working with large datasets.
• Deep expertise in Python (TensorFlow, PyTorch, NLTK, spaCy, etc.) and developing production-grade natural language / information retrieval models.
• A track record of taking models from concept to production , with hands-on experience in research and commercial deployment.
• Familiarity with advanced machine learning techniques for natural language models (NLP / LLMs) .
• Comfortable working in fast-paced environments, wearing multiple hats and collaborating with both technical and non-technical teams.
• A PhD in Computational Linguistics, Computer Science, Statistics, or a related field in natural language is required.
• Publication history in top NLP journals: NeurIPS, ICLR, ACL, EMNLP, and NAACL

THE BENEFITS

• Competitive Salary : Base salary of $230,000 - $250,000.
• Novel Research : Ownership of new applications you build
• Comprehensive Benefits : Full range of health benefits, retirement plans, and more.

HOW TO APPLY

Interested candidates should submit their resume to Tim Jonas via the Apply link on this page. We are eager to hear how you can contribute to the future of AI in legal and financial services.

KEYWORDS :

Machine Learning | Natural Language Processing | Natural Language Generation | Natural Language Understanding | NLG | NLU | LLM | Large Language Models | Artificial Intelligence | Generative AI | Research | Python | TensorFlow | PyTorch | NLP | Open-Source | Legal Tech | Financial Services | AI Platforms | Thought Leader | NLP Strategy

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