---
title: 'Senior Applied Scientist - NLP at Black Ore'
canonical: 'https://feeny.ai/job/senior-applied-scientist-nlp-black-ore-austin-r3v97z59btzz'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Applied Scientist - NLP at Black Ore

- **Company:** Black Ore
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-07-29
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/black-ore/am9icG9zdDrSwQ9j6S9iJ00FXTzRnYLr

## Job description

## About Us

Black 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 Role

We 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

## About Black Ore

## Company Overview
- **One-liner**: Black Ore builds an AI-powered platform that automates end-to-end tax preparation for CPA and accounting firms, starting with its flagship product Tax Autopilot.
- **Entity Type**: Private (Seed Round, $60M total funding)
- **Headquarters**: Austin, Texas, United States (offices also in New York, San Francisco, Tel Aviv)
- **Founded**: 2022
- **Founders**: Eyal Shinar (Co-Founder & CEO) – additional co-founder(s) not publicly disclosed

## Core Business
- Primary industry: AI infrastructure for tax and financial services
- Target customers: B2B – CPA firms, accounting practices, tax professionals (from small firms to Top 20 firms)
- Mission: “The next era of financial services will be powered by intelligent systems—not manual workflows. Starting with tax, we're building infrastructure that automates execution, scales personalized advice, and unlocks the full earning and wealth-creation potential of every firm, business, and individual.”

## Products & Services
- **Tax Autopilot**: AI platform that autonomously handles the full lifecycle of complex tax returns – document ingestion (W-2s, 1099s, K-1s, brokerage statements, bank records), intelligent extraction, return preparation applying federal/state tax code, workpaper generation, and integration with major tax software. Delivers review-ready returns with >99% accuracy and up to 98% time savings. (SaaS / AI platform)

## Market Standing
- **Valuation**: Not disclosed
- **Total Funding**: $60M (Seed round, November 2023 – led by Oak HC/FT)
- **Annual Revenue**: $1.2M (estimated from publicly available data, per wiza.co)
- **Notable Investors/Partners**: Oak HC/FT (lead), a16z (Andreessen Horowitz), Founders Fund, General Catalyst, Khosla Ventures, Trust Ventures; individual angels include Tom Glocer (former CEO Thomson Reuters), Max Levchin (founder PayPal/Affirm), Gokul Rajaram, Jason Gardner (founder Marqeta).
- **Growth Signals**: 6 employees (+133.3% YoY); 8,769 LinkedIn followers (+50% YoY); 40% of the Top 20 CPA firms use Tax Autopilot; 75 firms onboarded from a waitlist of ~4,000; product moved from early access to broad availability in April 2026.

## Competitive Advantages
- Proprietary domain-specific AI trained on complex tax code (federal and state) – not a generic LLM wrapper.
- Proven results in live production: >99% accuracy, >98% autonomy rate, up to 98% time savings, up to 80% lower cost per return.
- SOC 2 Type II certified, operates in encrypted environments, and has passed rigorous security reviews.
- Trusted by top-tier firms (40% of Top 20) – strong reference base and network effects.
- Full end-to-end automation without needing human intervention from Black Ore’s side, yet retains auditability and professional sign-off.

## Strategic Focus
- Scale the platform to thousands of firms currently on the waitlist, leveraging the 2026 broad availability launch.
- Continue proving the product across tax seasons to capture more of the $25B+ annual unmet demand in tax preparation.
- Address the talent shortage in accounting (300,000+ accountants left the profession, CPA exam candidates at 17-year low) by offering a solution that accelerates revenue growth without burning out staff or relying on offshore outsourcing.

## Why Work Here
- **Culture**: “Work at Black Ore” careers page highlights roles in Technical, Product & Design, Customer Support, and GTM – with a fast-paced, AI-first environment backed by top-tier VCs.
- **Remote/Hybrid Policy**: Hybrid and remote options available – roles in Austin, New York, San Francisco, Tel Aviv, and some remote positions (e.g., Senior Engineer Full-Stack, Product Manager, Accountant, Account Manager/Executive).
- **Notable Perks**: Being part of a mission-driven team solving a massive, real-world problem in financial services; working with cutting-edge AI/ML stack (TensorFlow, PyTorch, Kubernetes, etc.); opportunity to scale a product that top accounting firms already trust.
- **Engineering Culture**: Emphasis on applied AI, full-stack, backend, and infrastructure engineering; strong technical leadership (Applied AI Leader, Tech Lead roles).

## Sources
1. [blackore.ai](https://blackore.ai/company) – Company overview, mission, investors, careers
2. [wiza.co](https://wiza.co) – Headcount, revenue, funding, growth data (via wiza.co profile)
3. [linkedin.com](https://linkedin.com/company/black-ore-ai) – Company page, follower stats, post about Tax Autopilot
4. [internationalaccountingbulletin.com](https://www.internationalaccountingbulletin.com/news/black-ore-opens-tax-autopilot-ai-platform-to-more-cpa-practices/) – Broad availability announcement, product details
5. [citybiz.co](https://www.citybiz.co/article/838799/black-ore-launches-tax-autopilot-for-broad-availability/) – Press release with results, investor list, adoption stats
6. [jobs.a16z.com](https://jobs.a16z.com/jobs/black-ore) – Andreessen Horowitz portfolio jobs page for Black Ore

## Other roles at Black Ore

- [Founding GTM](https://feeny.ai/job/founding-gtm-black-ore-austin-1862bc64p2md) — Austin, TX