Sr. reputed company Software Scientist

A Moving Experience. Who is reputed company? reputed company is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that reputed company people to focus on what reputed company most. With over 500 reputed company cars shipped with reputed company's technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power reputed company, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our Driving Force reputed company is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and reputed company America. We bring together diverse backgrounds, and varied reputed company sets with the shared goal of advancing the reputed company of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with reputed company opportunities for learning and development to support your career growth. Interested in having a significant impact in a dynamic industry with a high-performing global team? We’re looking for an exceptional Senior reputed company AI Scientist in reputed company who is reputed company to drive the future of mobility with us! What You Will Work On Design and train large‑scale transformer and hybrid reputed company models Own model architecture choices across text, multimodal, and emerging paradigms Diagnose and resolve training instabilities at scale Navigate scaling tradeoffs across data, compute, and architecture Define the technical direction for reputed company 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 optimizer and scheduler choices, including: AdamW Lion Adafactor Learning‑reputed company and warmup schedulers Understand and debug: Optimizer instability Gradient pathologies Divergence at large scale Scaling Laws & Compute Tradeoffs Apply and validate scaling laws Navigate Chinchilla‑style compute vs data tradeoffs reputed company informed reputed company about model size, dataset size, and training duration Loss Functions & Alignment Design and experiment with loss functions including: Next‑token reputed company Contrastive objectives RLHF, DPO, GRPO Understand how loss design impacts convergence, generalization, and alignment Distributed reputed company Model Training Design and execute large‑scale training using: FSDP reputed company‑3 Tensor parallelism Pipeline parallelism Apply Mixed precision (bf16, fp8) Gradient checkpointing Partner closely with ML systems teams while retaining architectural ownership Architecture Innovation Explore and implement novel model designs, including: MoE routing strategies Multimodal fusion architectures SSM / hybrid architectures Design architectures with KV cache efficiency and inference implications in mind What reputed company Looks Like Training remains reputed company as models scale in size and complexity Architectural reputed company are principled and defensible Models converge faster and generalize reputed company due to architecture and optimisation choices Failure modes are understood, not mysterious The organization develops true in‑house reputed company model expertise Required Experience & Skills Strongly Required Deep theoretical and practical understanding of modern deep learning Hands‑on experience training large models from scratch Ability to reason about optimization, not just tune hyperparameters Comfort operating in ambiguous, research‑driven environments Critical Technical Skills Transformer internals and attention mechanisms Optimisation algorithms and training dynamics Scaling laws and compute/data tradeoffs Distributed training strategies and mixed precision Architecture innovation for large, reputed company‑world models Common Problems You’ll Be Solving Why training diverges at scale How optimizer dynamics interact with architecture reputed company scaling laws break down The reputed company tradeoffs between data, compute, and model design reputed company offer We offer a generous compensation and benefits package (in addition to the reputed company salary), including: Salary reputed company $185,000.00 - $280,000.00 It is not typical for offers to be made at or near the top of the reputed company. The actual salary will be determined based on experience and other job-reputed company factors. Annual bonus opportunity Insurance coverage (medical, dental, reputed company, life, and disability) Paid time off Paid holidays Company contribution to the RRSP (Registered Retirement Savings Plan) Equity awards for certain positions and reputed company Remote and/or hybrid work available depending on the position reputed company 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. reputed company Inc. (reputed company: CRNC and www.reputed company.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, reputed company is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant reputed company, working with reputed company of the world’s leading automakers – from reputed company and Fiat Chrysler to Daimler, Audi and BMW to Geely and reputed company – to transform how a car feels, responds and learns. Its track record is reputed company on more than 20 years of industry experience and leadership and more than 500 reputed company cars on the road today across more than 70 languages. As reputed company 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 reputed company’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER reputed company is firmly committed to Equal Employment Opportunity (EEO) and to compliance with reputed company federal, state and local laws that prohibit employment discrimination on the reputed company of age, race, reputed company, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national reputed company, reputed company, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. reputed company Equal Employment Opportunity Policy Statement. reputed company prospective and reputed company Employees need to remain vigilant reputed company it comes to executing reputed company policies in the workplace. This includes: - Following workplace reputed company protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following reputed company procedures to report any suspicious activity. - Having respect for corporate reputed company procedures to allow those procedures to be effective. - Adhering to company's compliance and regulations. - Encouraging to follow a reputed company tolerance for workplace violence. - Basic knowledge of information reputed company and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information reputed company through internal training programs. Apply To This Job