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Senior Machine Learning Engineer, NLU & Agentic AI

About WerQ AI & This Opportunity:

At WerQ AI, we’re building the world’s first Career Intelligence & Relationship Management™ (CIRM™) platform to put professionals at the center of their own career ecosystem. With deep agentic AI designed to work for you, not against you, we automate repetitive and tedious workflows, freeing your time to focus on what truly matters: your skill growth, your connections, and future-proofing your career.

We entered beta last month and are actively enhancing our platform with valuable feedback from our early testers. As we prepare for our public launch and raise our seed round (expected to close in February 2025), we’re planning to build our team. Applying now allows us to connect early, streamline interviews, and have a rapid onboarding process once funding is secured. If you’re excited to help shape the future of work that is more people-centered, we’d love to hear from you!

About the Role:

We are seeking a Senior Machine Learning Engineer, NLU & Agentic AI to design, build, and optimize machine learning models that power our AI-driven talent marketplace. You'll focus on natural language understanding (NLU) and agent-based AI systems to create smart, responsive, and human-centric tools.

Responsibilities:

  • Design and deploy scalable NLU models and conversational AI systems.
  • Develop agentic AI solutions for decision-making workflows.
  • Optimize ML models for accuracy, speed, and scalability.
  • Collaborate with the product and engineering teams to integrate AI solutions.
  • Stay updated on AI trends and incorporate best practices.

Who You Are:

  • You are passionate about building AI solutions that solve real-world problems.
  • You are driven by curiosity and thrive in a fast-paced, innovative environment.
  • You care about collaboration and value diverse perspectives.
  • You take ownership of your work and follow through on commitments.

What You Can Do:

  • Proficiency in building and deploying NLU and agentic AI systems.
  • Expertise in Python and libraries such as TensorFlow, PyTorch, or HuggingFace.
  • Ability to develop and fine-tune large language models (LLMs) for production.
  • Strong understanding of data preprocessing, model evaluation, and optimization techniques.
  • Experience with deploying AI models in production environments using cloud services (AWS, GCP, Azure).
  • Demonstrated success in solving real-world AI/ML challenges with measurable outcomes.

Why Join Us:

  • Lead the AI foundation of a mission-driven product.
  • Work with a team passionate about people-first innovation.
  • Enjoy autonomy, ownership, and growth opportunities.

Salary:

  • $130,000 - $165,000

Benefits:

  • Fully Remote & Flexible Work Schedule (Work from anywhere in the world with flexible hours tailored to your productivity style and time zone.)
  • Unlimited PTO
  • Health, Dental, & Vision Insurance premiums fully paid by Company

Growth Opportunities (Join at a critical growth stage, with opportunities for rapid career progression and cross-functional exposure.)

Want to Learn More About Us?

Join our WerQ Ai Discord Community!

Our product is currently in beta, and the Discord is where we connect with people interested in what we're developing. Some are even beta testing the platform as we work to reshape the job market and make a meaningful difference for job seekers. Whether you're applying for this role or just curious about what we're building, we'd love to have you there!

Join Our Discord: https://discord.gg/XzxkxzwmZb

Average salary estimate

$147500 / YEARLY (est.)
min
max
$130000K
$165000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Transparent & Candid
Growth & Learning
Fast-Paced
Collaboration over Competition
Take Risks
Friends Outside of Work
Passion for Exploration
Customer-Centric
Reward & Recognition
Feedback Forward
Rapid Growth
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Paternity Leave
Fully Distributed
Flex-Friendly
Some Meals Provided
Snacks
Social Gatherings
Pet Friendly
Company Retreats
Dental Insurance
Life insurance
Health Savings Account (HSA)
MATCH
VIEW MATCH
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 6, 2025

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