We're seeking exceptional Research Scientists to advance the state-of-the-art in multimodal AI systems deployed in real-world environments. This role sits at the intersection of cutting-edge research and practical applications, focusing on the entire model lifecycle from pre-training to deployment and continuous improvement.
The Opportunity
As a Research Scientist on our team, you'll work on frontier multimodal models capable of understanding and reasoning across diverse input modalities including text, images, audio, and sensor data. Your research will directly impact how these systems perform in complex, real-world settings with real users.
Your work will span:
Model Architecture & Pre-training: Design and implement novel architectures, algorithms and systems for efficiently processing multimodal inputs at scaleRL & Post-training Techniques: Novel RL and post-training infrastructure and algorithms to scale multimodal test-time computeInference Aware Design: Research efficient architectures, streaming systems, model compression, distillation, quantization.Evaluation & Benchmarking: Create rigorous evaluation frameworks that assess real-world performance beyond standard benchmarksWhat You'll Bring
BS, MS, PhD in Machine Learning, Computer Science, or related field (or equivalent research experience)Strong publication record in multimodal learning, transfer learning, or deployment of ML systemsExperience with modern deep learning frameworks (PyTorch, JAX, TensorFlow)Track record of implementing and scaling large neural network architecturesAbility to translate research insights into practical engineering solutionsExcellent communication skills to collaborate with cross-functional teamsIdeal Candidates Will Also Have
Experience deploying ML models in production environmentsFamiliarity with model optimization techniques (pruning, quantization, distillation)Background in systems that integrate multiple modalities (vision-language, audio-visual, etc.)Understanding of ML infrastructure and distributed trainingExperience with datasets at scale and efficient data pipelinesJoin us in building the next generation of multimodal AI systems that push boundaries while solving real-world problems!
Compensation
At Perceptron, we offer competitive benefits including:
For this role, a base salary of $180,000 to $250,000 + Equity (Please note: Starting salary may depend on location and level of experience)Medical, dental, and vision insurance; paid time off and company holidays; equity/stock options; in-office perks at our Bellevue, WA headquarters.Location: Bellevue, WAEQUAL OPPORTUNITY STATEMENT
Perceptron is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. All hiring decisions are based on qualifications, merit, and business need.
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If you’re excited to build, learn, and ship at the frontier of physical AGI—apply here.
