Lead Data Scientist, Generative AI

Key Skills

Aartificial intelligence, Data science techniques, Google BigQuery, Keras software library, Large Language Models - LLMs, Natural Language Processing (NLP), Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow

Job Description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist, Generative AI who will develop generative AI models that deeply understand the Geotab ecosystem and are capable of providing comprehensive customer support, delivering expert guidance on fleet management, best practices, and inquiries through text, code, and images. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Lead Data Scientist, Generative AI your key area of responsibility will be to experiment, implement, test and maintain production grade intelligent generative systems and pipelines. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts.

How you’ll make an impact:

• Develop and refine generative AI models including deep learning architectures such as generative adversarial networks, variational autoencoders, and transformers.

• Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in generative AI models.

• Collaborate with cross-functional teams including product managers, data engineers, data analysts, data scientists, developers, and external stakeholders to gather requirements and build generative AI products.

• Create algorithms and predictive models required to solve complex business problems.

• Own design, development and maintenance of scalable generative models based around the transformer and diffusion architectures.

• Test the performance of generative model products and make recommendations for improving Geotab’s product suite.

• Use open source LLMs packages to train/fine-tune AI models to better understand the Geotab ecosystem.

What you’ll bring to this role:

• Masters or equivalent degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field.

• 8-10 years experience as a Data Scientist, Generative AI Researcher or a similar role.

• 8-10 years experience in programming in Python.

• Experience with building, training, and deploying generative models based around the transformer architecture.

• Experience with building, training, and deploying generative models based around the diffusion architecture.

• Experience with natural language processing model architectures, optimizing, training, and deployment including classification, sentiment analysis, generation.

• Experiment with novel architectures, loss functions, regularization techniques, and data augmentation.

• Experience in working with large amounts of data in SQL.

• Proficient in building models using TensorFlow, Keras, PyTorch, scikit-learn.

• AirFlow, apache-beam, BigQuery and other cloud based technologies to scale machine learning models will be an asset.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

Why job seekers choose Geotab:

• Work from home and flex work arrangements
• Home office reimbursement program
• Baby bonus & parental leave top up program
• Online learning and networking opportunities
• Electric vehicle purchase incentive program
• Competitive medical and dental benefits
• Retirement savings program

*The above are offered to full-time permanent employees only

How we work:

At Geotab, we have adopted a flexible first working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com.