Frontier AI Research Engineer: Agentic & Multimodal Systems

Nxt Level

San Francisco (CA)

On-site

USD 180,000 - 280,000

Full time

6 days ago
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Job summary

Nxt Level is seeking a Research Engineer / Scientist to own ambitious research bets end to end in San Francisco. You will drive hypothesis generation, data strategy, model training, evaluation, deployment, and iteration on reinforcement learning, post-training, and long-horizon autonomous systems.

The role welcomes fresh PhDs or senior researchers and offers the chance to shape product architecture while collaborating closely with founders and engineering leadership on technical strategy.

Qualifications

  • Experience in frontier AI research, applied AI research, or research engineering.
  • Strong background in ML, DL, RL, post-training, continual learning, or multimodal systems.
  • Ability to design and run rigorous experiments.

Responsibilities

  • Run experiments and train frontier AI models focused on human judgment scaling and intent representation learning.
  • Post-train LLMs and multimodal agents using RL and continual learning methods.
  • Work with large-scale screen recording and behavioral data to understand user workflows.

Skills

Frontier AI research
Reinforcement learning
Post-training learning
Continual learning
Multimodal systems
Experimental design
Programming fundamentals
Large-scale data handling

Education

PhD or MSc in Computer Science / ML

Tools

PyTorch
TensorFlow
Experiment tracking (Weights & Biases / MLflow)

Job description

Nxt Level is seeking a Research Engineer / Scientist to own ambitious research bets end to end in San Francisco. You will drive hypothesis generation, data strategy, model training, evaluation, deployment, and iteration on reinforcement learning, post-training, and long-horizon autonomous systems.

The role welcomes fresh PhDs or senior researchers and offers the chance to shape product architecture while collaborating closely with founders and engineering leadership on technical strategy.

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