Senior Research Scientist
Cerence Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇩🇪 Germany
Visit company websiteJob Level
Senior
Tech Stack
Python
About the role
- Implement and develop state-of-the-art generative AI models including autoregressive, State Space Models and Diffusion modelling techniques.
- Leverage your expertise to effectively train, fine-tune, and optimize models that impact Multimodal LLMs, shaping them for optimal accuracy and performance.
- Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts.
- By understanding their requirements, you will collaboratively develop customised realtime solutions that combine the prowess of LLMs with other modalities.
- Innovate, modify and transform existing generative models for optimal performance and speed even on resource-constrained platforms.
- Stay fully abreast of the latest advancements, trends, and research in the realms of generative AI, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems.
Requirements
- Extensive experience in developing Generative AI models.
- Hands on experience in developing at least one of the following: encoder-decoder models, decoder-only models, SSMs and diffusion models.
- Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field.
- Exceptional programming skills in Python along with a strong ability to implement complex machine learning algorithms.
- Proven track-record in developing LLM-based systems (open-source models), successfully working with diverse elements involving conversation systems, vector databases and production systems.
- Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment.
Benefits
- Salary range of --- It is not typical for offers to be made at or near the top of the range.
- Annual bonus opportunity
- Insurance coverage (medical, dental, vision, life, and disability)
- Paid time off
- Paid holidays
- Company contribution to the RRSP (Registered Retirement Savings Plan)
- Equity awards for certain positions and levels
- Remote and/or hybrid work available depending on the position
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
generative AI modelsautoregressive modelsState Space ModelsDiffusion modelling techniquesencoder-decoder modelsdecoder-only modelsmachine learning algorithmsPythonLLM-based systemsvector databases
Soft skills
analytical thinkingproblem-solvingcollaborative mindset
Certifications
Ph.D. in computer sciencePh.D. in electrical engineering