Cerence Inc. Logo

Cerence Inc.

Senior AI Scientist

Posted 21 Days Ago
Remote
Hiring Remotely in USA
124K-198K Annually
Senior level
Remote
Hiring Remotely in USA
124K-198K Annually
Senior level
Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Drive architecture choices (attention variants, MoE), optimize training stability and optimizers, validate scaling laws and compute/data tradeoffs, design loss and alignment strategies (RLHF, DPO, contrastive), and execute distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and checkpointing while partnering with ML systems teams.
The summary above was generated by AI
A Moving Experience.

What You Will Work On 

  • Design and train largescale transformer and hybrid foundation models 

  • Own model architecture choices across text, multimodal, and emerging paradigms 

  • Diagnose and resolve training instabilities at scale 

  • Navigate scaling tradeoffs across data and compute 

  • Define the technical direction for nextgeneration models 

Core Responsibilities 

Deep Learning & Transformer Foundations 

  • Apply strong fundamentals in deep learning and representation learning 

  • Design and modify transformer architectures, including: 

Attention variants 

  • RoPE, ALiBi 

  • Grouped Query Attention (GQA) 

  • MixtureofExperts (MoE) 

  • Build models from first principles, not just adapt preexisting codebases 

Optimisation Dynamics & Training Stability 

  • Own optimiser and scheduler choices, including: 

  • AdamW 

  • Lion 

  • Adafactor 

  • Learningrate and warmup schedulers 

  • Understand and debug: 

  • Optimiser instability 

  • Gradient pathologies 

Scaling Laws & Compute Tradeoffs 

  • Apply and validate scaling laws 

  • Navigate Chinchillastyle compute vs data tradeoffs 

  • Make informed decisions about model size, dataset size, and training duration 

Loss Functions & Alignment 

  • Design and experiment with loss functions including: 

  • Nexttoken prediction 

  • Contrastive objectives 

  • RLHF, DPO, GRPO 

  • Understand how loss design impacts convergence, generalization, and alignment 

Distributed Foundation Model Training 

  • Design and execute largescale training using: 

  • FSDP 

  • ZeRO3 

  • Tensor parallelism 

  • Pipeline parallelism 

  • Apply: 

  • Mixed precision (bf16, fp8) 

  • Gradient checkpointing 

  • Partner closely with ML systems teams
  • What we offer 

    We offer a generous compensation and benefits package (in addition to the base salary), including: 

  • Salary range $123,500.00 - $197,600.00 USD  It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors. 

  • 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   All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time. 

Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.  

 

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. 

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.

Similar Jobs

3 Days Ago
Remote
WA, USA
Senior level
Senior level
Artificial Intelligence • Machine Learning
Lead design and implementation of scalable AI systems for multi-step reasoning, agents, and multimodal workflows. Own experimentation, evaluation, and optimization of foundation models (including fine-tuning, distillation, RL). Deliver end-to-end AI solutions with engineering partners, mentor junior scientists, and influence product and technical strategy for enterprise-grade, low-latency, cost- and safety-aware deployments.
Top Skills: AgentsDistillationEmotion AiFoundation ModelsGenerative AiKnowledge AiLlmsMultimodalOpen-Source ModelsPeftPrompt EngineeringReinforcement LearningSft
4 Days Ago
Remote or Hybrid
United States
Senior level
Senior level
eCommerce • Fintech • Payments • Software
Build and productionize applied AI/ML systems (predictive ordering and agentic copilots) end-to-end, drive measurable business KPI impact, collaborate with product/engineering, implement model-ops, observability, HITL workflows, and mentor peers.
Top Skills: Agent TechnologiesAWSGCPHuman-In-The-Loop (Hitl)LlmsObservability/MonitoringRanking/RecommendationRetrieval SystemsSelf-Hosted Agent InfrastructureVector Search
17 Days Ago
In-Office or Remote
130K-163K Annually
Senior level
130K-163K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Research and develop LLM and NLP solutions (including agentic AI) for healthcare, collaborate with RUAI and engineering teams, build MLOps pipelines, document code and models, publish/patent novel methods, and ensure solutions comply with company AI policies.
Top Skills: AWSAzure MlAzure OpenaiDatabricksGCPLlmNlpPrompt EngineeringPythonRelational DatabasesSnowflakeText ClassificationText EmbeddingTransformer Architectures

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account