Senior AI scientist

AI That Moves the World. Careers That Move You Forward.

At Cerence AI, you’ll help transform advanced AI into trusted, real-world solutions that make complex technology - think vehicles, robots, smart manufacturing, and emerging intelligent devices - more natural, reliable, and useful. Building on decades of innovation and global deployment in automotive, we are extending our expertise into new products, markets, and intelligent systems.

As part of our global team, you’ll work alongside leading innovators, researchers, engineers, and business leaders to solve meaningful challenges and turn breakthrough ideas into technology people use every day. You’ll have the opportunity to make a visible impact, help shape Cerence AI’s next chapter, and move your own career forward.

We are looking for a scientist to be a part of XUI- Cerence's conversational AI platform using large language models including multimodal (both on Edge and in cloud).

What You Will Work On

• Design and trainlarge -scaletransformer and hybrid foundation models

• Diagnose and resolvetraining instabilities at scale

• Navigate scaling tradeoffs across data, compute, and architecture

• Define the technical direction fornext-generationmodels

Core Responsibilities

Deep Learning & Transformer Foundations

• Apply strong fundamentals in deep learning and representation learning

• Design andmodifytransformer architectures, including:

• Attention variants

• RoPE,ALiBi

• Grouped Query Attention (GQA)

• Mixture -of - Experts(MoE)

• Build modelsfrom first principles, not just adaptpre-existingcodebases

Optimization Dynamics & Training Stability

• Own optimizer and scheduler choices, including:

• AdamW

• Lion

• Adafactor

• Learning-rateand warmup schedulers

• Understand and debug:

• Optimizer instability

• Gradient pathologies

Scaling Laws & Compute Tradeoffs

• Apply andvalidatescaling laws

• NavigateChinchilla -stylecompute vs data tradeoffs

Loss Functions & Alignment

• Design and experiment with loss functions including:

• Next -tokenprediction

• Contrastive objectives

• RLHF,DPO,GRPO

Distributed Foundation Model Training

• Design and executelarge-scaletraining using:

• FSDP

• ZeRO - 3

• Tensor parallelism

• Pipeline parallelism

• Apply:

• Mixed precision (bf16, fp8)

• Gradient checkpointing

• Partner closely with ML systems teams whileretainingarchitectural ownership

Cerence AI (NASDAQ: CRNC) helps people and intelligent systems work together naturally and reliably. Proven at global scale in automotive, Cerence provides the trusted interaction and action layer connecting people, machines, and intelligent systems. Its AI platform enables natural interaction and dependable action across complex real-world environments where reliability, safety, security, and performance are critical. Working with customers and partners worldwide, Cerence transforms advanced AI into trusted solutions that bridge the gap between AI potential and real-world performance.

For more information, visit www.cerence.ai.

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.