Senior Machine Learning Engineer
Company: Samsara
Location: San Diego
Posted on: January 3, 2026
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Job Description:
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™
Cloud, which is a platform that enables organizations that depend
on physical operations to harness Internet of Things (IoT) data to
develop actionable insights and improve their operations. At
Samsara, we are helping improve the safety, efficiency and
sustainability of the physical operations that power our global
economy. Representing more than 40% of global GDP, these industries
are the infrastructure of our planet, including agriculture,
construction, field services, transportation, and manufacturing —
and we are excited to help digitally transform their operations at
scale. Working at Samsara means you’ll help define the future of
physical operations and be on a team that’s shaping an exciting
array of product solutions, including Video-Based Safety, Vehicle
Telematics, Apps and Driver Workflows, and Equipment Monitoring. As
part of a recently public company, you’ll have the autonomy and
support to make an impact as we build for the long term. About the
role: The Samsara ML Experience team builds end-to-end ML
applications to power different product pillars at Samsara. As a
Senior Machine Learning Engineer II, you will be responsible for
developing ML solutions to increase the safety, efficiency and
sustainability of the physical operations. You will work closely
with various engineering teams across ML, full-stack, firmware as
well as cross functional partners to deliver core infrastructure,
services, and optimizations. This is a remote position open to
candidates residing in the US. You should apply if: • You want to
impact the industries that run our world: The software, firmware,
and hardware you build will result in real-world impact—helping 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 life-long 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, we’re all racing toward
our connected operations vision, and we intend to win—together. In
this role, you will: • Design and implement scalable machine
learning infrastructure using Ray to support model training,
deployment, and inference at scale. • Leverage Kubernetes for
orchestration of containerized applications, ensuring seamless
deployment, scaling, and management of ML models and associated
services. • Develop and maintain CI/CD pipelines for automated
testing, deployment, and management of ML applications and
infrastructure. • Implement robust monitoring, logging, and
alerting systems to ensure high availability, performance, and
security of the ML platform. • Collaborate with data scientists and
ML engineers to optimize data pipelines and model performance. •
Stay abreast of the latest advancements in machine learning
technologies and infrastructure, and advocate for the adoption of
best practices and new technologies within the team. • Provide
DevOps/SRE support for the ML platform, including incident
response, performance tuning, and disaster recovery planning. •
Champion, role model, and embed Samsara’s 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: • BS or MS in
Computer Science or other relevant field. • 6 years of experience
as a Machine Learning Engineer, Applied Scientist, or similar role.
• Strong proficiency in one or more common languages (e.g., C++,
Golang, Java, Python, Scala). • Proficiency with common ML tools
(e.g., Spark, TensorFlow, PyTorch). • Experience deploying and
iteratively refining models using customer feedback loops. •
Comfortable with full-stack / backend development code to build a
strong understanding of underlying data structures and other
dependencies. An ideal candidate also has: • Ph.D. in Computer
Science or quantitative discipline (e.g., Applied Math, Physics,
Statistics). • Experience building, deploying, and optimizing ML
models on the edge. • Experience building end-to-end ML
applications from scratch. • Expertise in optimizing distributed
model training with GPUs. Samsara’s Compensation Philosophy:
Samsara’s compensation program is designed to deliver Total Direct
Compensation (based on role, level, and geography) that is at or
above market. We do this through our base salary bonus/variable
restricted stock unit awards (RSUs) for eligible roles. For
eligible roles, a new hire RSU award may be awarded at the time of
hire, and additional RSU refresh grants may be awarded annually. We
pay for performance, and top performers in eligible roles may
receive above-market equity refresh awards which allow employees to
achieve higher market. The range of annual base salary for
full-time employees for this position is below. Please note that
base pay offered may vary depending on factors including your city
of residence, job-related knowledge, skills, and experience.
Keywords: Samsara, Perris , Senior Machine Learning Engineer, Engineering , San Diego, California
