Job TitleIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Kirkland, WA, USA; New York, NY, USA.
Minimum Qualifications:
PhD degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
Experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).Experience in developing multimodal AI models and systems.
Experience conducting research and development, including experimental design, implementation, and analysis.
Publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).
Preferred Qualifications:
Experience fine-tuning and post-training LLMs using Reinforcement Learning (RL) or other alignment methods.
Experience with developing generative AI architectures, techniques, and agentic AI solutions.
Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).Proven expertise in working with, tuning, and prototyping large-scale vision-language models (VLMs) using modern prompting strategies.
Strong interest in and awareness of the AI alignment, safety, responsibility, and fairness landscape, with an excitement to collaborate across disciplines.
