[Hiring] Principal Data Scientist, AI @Jobgether
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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 Now
Apply Now
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 Now
Apply Now