AI/ML Engineer (Stealth Startup)

Pumex Computing, LLC; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

Join a pioneering tech venture as a Founding AI/ML Engineer. Lead the development of innovative AI-powered recruitment solutions, collaborate with the founding team, and take ownership of core AI architecture. This remote position offers competitive compensation and significant equity as the startup grows.

Benefits

Equity stake

Flexible work-life balance

Collaborative culture

Rapid growth environment

PTO

Qualifications

• 5+ years of experience in building machine learning systems.
• Strong foundations in ML algorithms and NLP pipelines.
• Fluent in Python; experience with ML libraries and cloud platforms.

Responsibilities

• Architect and build core AI models for recruitment solutions.
• Own end-to-end AI infrastructure including data pipelines.
• Collaborate with founders to shape product direction.

Skills

Machine Learning

Deep Learning

NLP

Python

MLOps

Scalable Systems Design

Tools

TensorFlow

PyTorch

Scikit-Learn

Docker

Kubernetes

AWS

Job description

Join to apply for the AI/ML Engineer (Stealth Startup) role at Pumex Computing, LLC

Join to apply for the AI/ML Engineer (Stealth Startup) role at Pumex Computing, LLC

Position: Founding AI/ML Engineer (Stealth Startup)

Location: Remote (U.S.)

Type: Full-Time, Equity Heavy

Compensation: Competitive salary plus meaningful equity stake

About the Opportunity

We’re a high-energy, early-stage tech venture operating in stealth mode, building the next generation of AI-powered recruitment solutions. As our first AI/ML hire, you’ll be instrumental in shaping our core architecture, driving model development, and owning end-to-end AI infrastructure. This is a true “ground-floor” role: you’ll work side-by-side with the founding team, define best practices, and influence product direction from day one.

What You’ll Do

• Architect & Build Core Models: Design, develop, and deploy novel machine learning and deep learning models (NLP, recommendation, ranking, etc.) tailored to large-scale candidate/job data.
• End-to-End Pipeline Ownership: Build robust data ingestion, preprocessing, feature engineering, and model-serving pipelines, scalable for millions of users.
• Research & Innovation: Explore cutting-edge AI techniques (transformer architectures, graph neural networks, contrastive learning) to continuously improve matching accuracy and user experience.
• Collaborate on Product Roadmap: Partner with founders and product leads to translate high-level business goals into technical requirements and AI milestones.
• Productionize & Monitor Models: Develop MLOps workflows: automated training, CI/CD pipelines, model monitoring, and A/B testing; ensure performance, reliability, and compliance.
• Mentor & Shape Culture: Establish coding standards, review peers’ work, and create documentation for a scalable, maintainable codebase. Coach future AI hires as the team grows.
• Cross-Functional Teamwork: Work closely with engineering, product, and design to integrate AI features seamlessly into a clean, user-friendly platform.

What We’re Looking For

• Proven Track Record: 5+ years building and shipping machine learning or deep learning systems in production (preferably in fast-paced startups or R&D environments).
• Deep Technical Expertise:
• Strong foundations in ML algorithms (supervised, unsupervised, reinforcement learning).
• Hands-on experience with NLP pipelines (text embedding, intent classification, entity extraction).
• Familiarity with recommender systems, ranking models, or graph-based architectures a plus.
• Software Engineering Excellence:
• Fluent in Python; proficiency with ML libraries (TensorFlow, PyTorch, Scikit-Learn, Hugging Face).
• Experience designing scalable microservices (Docker/Kubernetes) and working with cloud platforms (AWS/GCP/Azure).
• Knowledge of data stores and processing frameworks (PostgreSQL, Redis, Spark, Kafka, etc.).
• Product-Driven Mindset:
• Ability to distill ambiguous, high-level problems into concrete ML solutions.
• Passion for building intuitive data visualizations and dashboards to surface key metrics.
• Thrive in an ambiguous, fast-changing environment, comfortable rolling up your sleeves and shipping features.
• Startup DNA: bias for action, sense of ownership, and a high bar for quality.
• Clear, concise communicator who can present complex technical concepts to non-technical stakeholders.
• Experience collaborating cross-functionally with product, design, and business teams.

Nice to Have

• Prior experience in HRTech or recruiting-tech space
• Background in signal processing, graph neural networks, or advanced recommendation techniques
• Familiarity with container orchestration (Kubernetes) and Terraform/Helm for infrastructure as code
• Published research (papers, patents) or open-source contributions in ML/AI

Why You Should Join Us

• True Ownership: You’ll own AI strategy, influence product roadmap, and see the direct impact of your work from day one.
• Equity & Upside: As a founding engineer, you’ll receive significant equity and have a real stake in the company’s success.
• Rapid Growth Environment: Join a small, deeply talented team that moves at startup speed, your contributions will be highly visible.
• Collaborative Culture: We prioritize transparency, continuous learning, and a supportive atmosphere where all ideas are welcome.
• Flexible Work-Life Balance: Fully remote, with occasional team meetups; generous PTO and a culture that values well-being.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Pumex Computing, LLC by 2x

Get notified about new Machine Learning Engineer jobs in United States.

United States $120,000.00-$170,000.00 1 day ago

United States $100,000.00-$720,000.00 1 week ago

Arlington, VA $71,600.00-$140,600.00 1 day ago

San Francisco, CA $60.00-$70.00 2 days ago

Austin, TX $71,600.00-$140,600.00 9 hours ago

United States $170,000.00-$720,000.00 3 days ago

United States $130,000.00-$180,000.00 3 days ago

New York, United States $120,000.00-$230,000.00 21 hours ago

Machine Learning Engineer, Search (multiple levels)

United States $185,800.00-$322,000.00 3 days ago

Redwood City, CA $69,000.00-$158,200.00 1 day ago

Machine Learning Software Engineer L4/L5

United States $100,000.00-$720,000.00 4 days ago

United States $110,000.00-$120,000.00 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.