[Hiring] Principal Data Scientist, AI @Jobgether

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Principal Data Scientist, AI, you’ll play a central role in designing and deploying cutting-edge AI systems built on real-world sensor and telematics data. • Lead the end-to-end lifecycle of advanced AI models, including pre-training, fine-tuning, optimization, and deployment. • Design physics-aware and self-supervised learning algorithms tailored to sensor-rich, spatio-temporal data. • Build and maintain robust, scalable ML pipelines using distributed computing frameworks (e.g., PyTorch DDP, Horovod, Ray). • Integrate AI models into production systems, ensuring reliability, efficiency, and scalability across cloud and edge environments. • Drive cross-functional collaboration with engineering, product, and research teams to translate AI breakthroughs into real-world telematics solutions. • Mentor junior data scientists and contribute to the overall AI/ML strategy and roadmap. • Stay current with AI advancements, promoting the adoption of relevant technologies, tools, and ethical practices. • Engage in tasks related to model explainability, bias mitigation, and AI lifecycle management. • Handle other related duties as they arise. Qualifications • PhD or Master’s in AI, Computer Science, Physics, Math, or a related field. • 7+ years of experience in AI/ML, including 3+ years developing and deploying foundation models (e.g., BERT, GPT). • Proven expertise in multi-modal and time-series transformers, self-supervised learning, and spatio-temporal modeling. • Proficiency in Python and libraries such as Pandas, NumPy, and scikit-learn. • Deep hands-on experience with PyTorch (preferred) or TensorFlow for model development and deployment. • Strong background in distributed training methods and large-scale ML workflows. • Familiarity with cloud platforms (AWS, Azure, GCP), Docker, Spark, and Airflow for MLOps. • Excellent problem-solving and communication skills, with a product-oriented mindset. • Preferred: knowledge of XAI, model guardrails, and ethical AI practices; publications in top AI/ML venues. Benefits • Competitive salary and annual performance bonus based on experience and impact. • Equity opportunities via Restricted Stock Units (RSUs). • Comprehensive medical, dental, vision, and life insurance. • Matching 401(k), short- and long-term disability, and parental leave. • Unlimited paid time off, including vacation, sick days, and holidays. • Flexible work schedules and hybrid/remote work options, depending on the role. • Wellness, education, and employee assistance programs. • Access to employee-led communities and diversity resource groups. Apply Job! Apply to this Job