Research Scientist Text
Research Scientist Text
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$ 200000 - 350000
1 Vacancy
Job Description
A bit about Cantina:
Cantina founded by Sean Parker is a new social platform with the most advanced AI character creator. Build share and interact with AI bots and your friends directly in the Cantina or across the internet.
Cantina bots are lifelike social creatures capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI imagine someone new or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice video and text.
If youre excited about the potential AI has to shape human creativity and social interactions join us in building the future!
About the role:
We are seeking talented Research Scientists to join our team focused on advancing the capabilities of our AIdriven social platform. As a Research Scientist you will play a pivotal role in developing stateoftheart text models that enable our AI bots to interact in a multbot and multiuser environments in realtime.
A bit about the work:
Lead research initiatives to develop large language models (LLMs) optimized for complex conversational scenarios including multiturn dialogue dynamic memory management and openended interactions.
Focus on model efficiency and latency optimization to enable realtime interactions within the product at scale.
Collaborate with product design and engineering teams to guide research prototypes to production.
Survey and investigate state of the art published research implement baselines based on that research and extend it given product requirements.
Contribute to the research community through publications and opensource contributions.
A bit about you:
Ph.D. or equivalent experience in Computer Science Electrical Engineering or related fields with a focus on natural language processing and generative modeling.
Demonstrated expertise in:
Finetuning LLMs with training methodologies such as RLHF (Reinforcement Learning from Human Feedback) DPO or contrastive learning.
Evaluation techniques for conversational agents including challenges related to multiagent interactions and longform dialogue.
Optimizing models for deployment using quantization distillation or sparse modeling with experience using tools like vLLMs DeepSpeed or Hugging Face Transformers
Proven track record of research excellence demonstrated through publications at toptier conferences (NeurIPS ICLR ACL EMNLP AAAI etc).
Strong programming skills in Python and experience with deep learning frameworks (TensorFlow PyTorch) along with knowledge of distributed training and inference optimization.
Ability to work independently and collaboratively in a fastpaced dynamic environment with a strong sense of ownership and drive to deliver impactful results.
Location:
We have offices located in Sunnyvale CA San Francisco CA and Brooklyn NY. While we have a strong focus on individuals near our office hubs we offer fully remote and hybrid employment opportunities.
Pay Equity:
In compliance with Pay Transparency Laws the base salary range for this role is between $200000 $350000 for those located in the San Francisco Bay Area New York City and Seattle WA. When determining compensation a number of factors will be considered including skills experience job scope location and competitive compensation market data.
Application Process: Please submit your resume cover letter and any relevant portfolio or publications demonstrating your research contributions in AI.
Benefits Summary:
Health Care 99 of premiums for medical vision dental are fully paid for by Cantina plus One Medical membership.
Monthly Stipend $500/month to use on whatever youd like!
Rest and Recharge 15 PTO days per year 10 sick days all federal holidays and offices closed for winter break (Christmas Eve to New Years Day)!
401(K) Eligible to participate on day one of employment.
Parental Leave & Fertility Support
Competitive Salary & Equity
Lunch and snacks provided for inoffice employees.
WFH equipment provided for fulltime hybrid/remote employees.
Employment Type
Full-Time
