Type: Full-time
Ndea is building frontier AI systems that combine intuitive pattern recognition with program synthesis. We’re looking for an experienced deep learning engineer to help build the "System 1" (à la Kahneman) side of that architecture: fast, intuitive systems that complement symbolic reasoning. You’ll take problems from training data to working production systems - choosing the right approach, training and evaluating models, building the surrounding system, and deploying it to real users. We’re looking for someone who has done this end-to-end before and has strong practical intuition about what works. The larger challenge is open-ended: help us determine what intuition guidance should look like as our architecture evolves. This is a high-ownership role for someone who combines deep ML expertise with a builder's mindset.
We offer
- Meaningful equity, competitive salary, and benefits
- Aggressive compute budget
- Small, high-talent-density, globally remote team
Ndea is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
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Qualifications
- Deep experience training machine learning models end-to-end
- Experience building and deploying production ML systems for tasks such as prediction,
classification, ranking, recommendation, routing, or decision-making
- Experience across the full ML lifecycle: data, training, evaluation, system design,
productionization, deployment, and operation
- Experience taking ML systems beyond research prototypes and putting them into the hands of real
users
- Current, technically-grounded understanding of advances in deep learning architectures and
techniques
- Ability to evaluate new approaches from first principles: how they work, what they can and can’t do,
and whether they actually improve on existing methods
- High agency - you can take an underspecified problem, determine the right path forward, and drive it
to a measurable result
Nice-to-have
- Experience operating in an early-stage startup or similarly fast-moving environment
- Experience with non-LLM architectures and earlier generations of deep learning
- Familiarity with symbolic AI (program synthesis, logic, solvers, formal methods, etc.)
Apply
If you're interested in this role, send us an email including the following items to: future@ndea.com
- Your location (city, country)
- Links to your profile(s) (e.g., GitHub, LinkedIn, etc.)
- Your resume (optional if the above links are sufficient)
Refer
Know someone who might be a good fit for this role? Refer them to us, and if they're hired and stay for 30 days, you could earn a $10,000 bonus. Learn more