Senior AI Scientist

Cerence Inc. • $123K — $197K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years of experience in deep learning and transformer architectures
  • Proficient in designing large-scale transformer and hybrid models
  • Strong understanding of optimization techniques and training stability
  • Familiarity with distributed training algorithms and techniques
  • Ability to navigate complex scaling trade-offs in model training

Responsibilities

  • Design and train large-scale transformer and hybrid foundation models
  • Own model architecture decisions for text and multimodal applications
  • Resolve training instabilities at scale through debugging and analysis
  • Make informed decisions regarding data, compute, and architecture trade-offs
  • Define the technical direction for next-generation model development

Benefits

  • Annual bonus opportunity
  • Comprehensive insurance coverage including medical, dental, vision, life, and disability
  • Paid time off and holidays
  • Company contributions to retirement savings plans
  • Equity awards offered for certain positions
  • Flexible work arrangements including remote and hybrid options
Full Job Description
A Moving Experience.

What You Will Work On

  • Design and train large-scale 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 next-generation 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)


  • Mixture-of-Experts (MoE)


  • Build models from first principles, not just adapt pre-existing codebases


Optimisation Dynamics & Training Stability

  • Own optimiser and scheduler choices, including:


  • AdamW


  • Lion


  • Adafactor


  • Learning-rate and warmup schedulers


  • Understand and debug:


  • Optimiser instability


  • Gradient pathologies


Scaling Laws & Compute Tradeoffs

  • Apply and validate scaling laws


  • Navigate Chinchilla-style 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:


  • Next-token prediction


  • Contrastive objectives


  • RLHF, DPO, GRPO


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


Distributed Foundation Model Training

  • Design and execute large-scale training using:


  • FSDP


  • ZeRO-3


  • 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.


About Cerence Inc.

Cerence Inc. is a software company that specializes in voice recognition and natural language understanding technology. The company was spun off from Nuance Communications in 2019 and is headquartered in Newton, Massachusetts. Cerence's software is used in a variety of applications, including automotive infotainment systems, smart speakers, and virtual assistants. The company's clients include many of the world's leading automakers, as well as companies in the consumer electronics and mobile device industries. Cerence has received several awards for its technology, including the 2020 CES Innovation Award for its Cerence Drive platform.
Learn more about Cerence Inc.
Size
1,200 employees
Market Cap
$726.1 million
Industry
Enterprise Technology
Net Income
$12.7 million
5 Year Trend
+6%
Revenue
$347.1 million
* Ladders Estimates

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