Senior Applied Scientist - Multimodal LLMs
Senior Applied Scientist - Multimodal LLMs
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Job Description
About the role:
The Samsara ML Science team applies and develops cuttingedge technologies that increase the safety efficiency and sustainability of physical operations. We leverage petabyte scale data from our huge variety of sensors including video GPS IMU audio CAN and more. As a Senior Applied Scientist specializing in multimodal modeling you will train both powerful and costefficient models that leverage these diverse modalities. You will work closely with various engineering teams across ML and firmware as well as cross functional partners.
This is a remote position open to candidates based in Canada.
You should apply if:
- You want to impact the industries that run our world: The software firmware and hardware you build will result in realworld impacthelping to keep the lights on get food into grocery stores and most importantly ensure workers return home safely.
- You want to build for scale: With over 2.3 million IoT devices deployed to our global customers you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the worlds physical operations.
- You are a lifelong learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies challenges and customers that push us to learn on the go.
- You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews collaborate with customer success and product managers and use metrics to ensure our work is translating into better customer outcomes.
- You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission were all racing toward our connected operations vision and we intend to wintogether.
In this role you will:
- Build and improve ML models including retraining and optimizing opensource models to solve Samsaraspecific problems
- Work with petabytescale data from Samsaras cameras and diverse sensors to develop new multimodal models
- Research and apply cuttingedge technologies from the latest industry and academic research
- Collaborate with crossfunctional teams to develop innovative AI products from scratch
- Champion role model and embed Samsaras cultural principles (Focus on Customer Success Build for the Long Term Adopt a Growth Mindset Be Inclusive Win as a Team) as we scale globally and across new offices
Minimum requirements for the role:
- 5 years experience as an Applied Scientist Machine Learning Engineer or similar role
- BS or MS in Computer Science or another quantitative field
- Strong proficiency in one or more common languages (e.g. Python Java C Golang)
- Proficiency with common ML tools and frameworks (e.g. PyTorch TensorFlow Spark)
- Proficiency in pulling your own data via SQL Spark or a similar dataquerying language
- Experience iteratively refining models using customer feedback loops
An ideal candidate also has:
- Ph.D. in Computer Science or quantitative discipline (e.g. Applied Math Physics Statistics)
- Experience working with large datasets using distributed computing (e.g. Spark)
- Expertise with distributed model training of LLMs / MLLMs
- Experience modeling with a variety of data types including sensor data
- Experience leading a small crossfunctional team to deliver new ML experiences
Required Experience:
Senior IC
Employment Type
Full Time
