Black OrePosted 14mo ago

Senior Applied Scientist - NLP

Senior Applied Scientist - NLP at Black Ore scores 98 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Remote (United States - Remote)seniorfull_time

AI in this role

pytorchtensorflowscikit-learn

prompt-engineeringai-evaluationnlp

About UsBlack Ore is building the leading AI platform for financial services. By combining LLMs, proprietary AI/ML and automation we accelerate core workflows for the industry, allow financial services professionals to be more productive and enable consumers to enhance their personal finance. Our flagship product, Tax Autopilot, combines AI with federal and state tax codes & regulations to simplify the tax preparation and review process for Certified Public Accountants (CPAs) and accounting firms.
Founded in 2022, we launched with $60 million in early stage funding from some of the world’s leading investors including a16z, Founders Fund, General Catalyst, Khosla Ventures, Oak HC/FT, Trust Ventures and leading tech founders/angel investors including Jason Gardner (Founder and CEO of Marqeta), Max Levchin (Founder of Paypal and Affirm), Tom Glocer (Former CEO of Thomson Reuters), Gokul Rajaram, and Mark Britto (EVP, CPO, PayPal).
Our team has an incredibly ambitious vision to completely transform the way businesses and consumers interact in financial services. We’re looking to hire strong team members to grow the team. Some of the traits we look for are:

Owner Mentality - Desire to take initiative, identify problems and implement solutions
Mission Driven - Passion for building AI/ML solutions that reimagine how businesses and consumers operate
Intellectually Curious - Excitement going deep and building detailed understanding of the function, role, customer and problem space
Team Oriented - Ability to collaborate respectfully and put the team above the self

The RoleWe are seeking a skilled and driven Senior Applied Scientist with 7+ years of industry experience to join our team. You’ll play a key role in building and deploying machine learning models and AI systems that are reliable, scalable, and impactful. The ideal candidate has experience applying NLP techniques in production environments and thrives in a fast-paced, collaborative setting.
Responsibilities

Research and engineer NLP solutions to solve real-world problems within the tax industry and push state of the art LLMs and assistants.
Independently design and implement algorithms, train state of the art large language models (LLM) on large data, and evaluate their performance.
Drive engineering and science that can be applied to Black Ore platform development
Fine tune models

Basic Qualifications

Masters degree in Computer Science, Computer Engineering, Artificial Intelligence or relevant technical field, or equivalent practical experience. PhD preferred but not required.
Applied Research experience in one or more of these areas: NLP, NLU, machine learning, deep learning, or related fields.
Direct experience in Summarization, Classification and/or Extraction
Experience with NER (named-entity recognition)
End to end experience delivering production-ready code
3+ years of experience with development and implementation of LLM algorithm/systems and model training.
Direct experience in generative AI and LLM's, and implementing solutions to production
Experience working with machine learning libraries like Pytorch.
Familiar with scripting languages such as Python and shell scripts.
Direct experience in Prompt Engineering
Continued interest in LLM trends and the latest in cutting edge models within AI
Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar
Strong understanding of ML fundamentals, including supervised/unsupervised learning, model evaluation, feature engineering, and overfitting/underfitting
Experience working with large datasets and building production-ready data pipelines

What We Offer (for U.S. Based Employees)

Competitive salary and equity based compensation
Employer-paid medical, dental and vision insurance
Ability to define your own success
Continuous learning and new challenges to master

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringAI EvaluationNlpPyTorchTensorFlowscikit-learn

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide that one model's output is better than another's for a given task?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, AI Evaluation, Nlp, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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