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Salary
≈ $24k – $54k per year (Estimated)
Location
Remote (India)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Jul 9, 2026. Cerence scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Founded in 2019, Cerence is a global technology company specializing in artificial intelligence and conversational software for the automotive industry. Headquartered in Burlington, Massachusetts, the firm develops voice recognition, natural language understanding, and smart assistant solutions for leading vehicle manufacturers. By integrating intuitive voice controls and connected AI systems into modern automobiles, the organization enhances the overall in-cabin user experience for drivers worldwide.

A Moving Experience.

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 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.

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