Senior Machine Learning Engineer - Platform
Company: Sentry
Location: San Francisco
Posted on: November 6, 2024
Job Description:
Bad software is everywhere, and we're tired of it. Sentry is on
a mission to help developers write better software faster, so we
can get back to enjoying technology.With more than $217 million in
funding and 100,000+ organizations that believe we're on to
something, we're building performance and error monitoring tools
that help companies like Disney, Microsoft, and Atlassian spend
less time fixing bugs and more time building products. If you like
to selfishly build things that make your digital life better, come
help us build the next generation of software monitoring
tools.About the roleAs a Senior Machine Learning Systems Engineer
on Sentry's AI/ML team, you'll be directly responsible for building
the core infrastructure used to develop, evaluate, deploy, iterate
on models and pipelines at scale. This role is crucial; you will be
at the forefront of integrating machine learning into our core
products, from error classification to predictive analytics for
application performance monitoring. Your work will help companies
around the globe gain actionable insights into their software,
enabling them to build better products, faster.In this role you
will
- Be our first Machine Learning Systems Engineer, with an
opportunity to own the deployment of major initiatives
- Develop the framework used by Sentry to do time-series analysis
at massive scale
- Optimize the performance of transformer-based embeddings models
used for critical AI/ML pipelinesYou'll love this job if you
- Are driven by impact and enjoy working on high-stakes,
high-visibility projects
- Enjoy building things. You will have the opportunity to build
an AI/ML platform at Sentry
- Thrive in cross-functional teams and enjoy building features
alongside developers and product teams
- Appreciate the challenges and opportunities that come with
scaling machine learning models for real-world
applicationsQualifications
- Minimum 7+ years of professional experience with a Bachelor's
degree in computer science, machine learning, or a related
field
- You are comfortable writing production quality code (we use
Python)
- Experience building and operating large scale distributed
systems on a cloud platform like GCP, AWS, Azure (we use Kubernetes
+ Terraform)
- Experience with distributed large-scale data processing tools,
such as Apache Spark or Flink
- Experience with OLAP databases, ideally in the context of
time-series data
- Familiarity with machine learning frameworks such as PyTorch or
Tensorflow
- Expertise in deploying machine learning models at scale in
production environments
- Experience in writing technical documentation, mentoring, and
presenting to technical audiences
- Proven track record of owning a system, feature, or component,
leading or collaborating with multiple engineers and teamsThe base
salary range (or hourly wage range, if applicable) that Sentry
reasonably expects to pay for this position is $190,000 USD to
$235,000 USD. A successful candidate's actual base salary (or
hourly wage) amount will be determined by a variety of relevant
factors including, without limitation, the candidate's work
location, education, work and other relevant experience, skills,
and job-related knowledge. A successful candidate will be eligible
to participate in Sentry's employee benefit plans/programs
applicable to the candidate's position (including incentive
compensation, equity grants, paid time off, and group health
insurance coverage). See Sentry Benefits for more details about the
Company's benefit plans/programs.Equal Opportunity at SentrySentry
is committed to providing equal employment opportunities to its
employees and candidates for employment regardless of race, color,
ancestry, religion, sex, national origin, sexual orientation, age,
citizenship, marital status, disability, gender identity, veteran
status, or other legally-protected characteristic. This commitment
includes the provision of reasonable accommodations to employees
and candidates for employment with physical or mental disabilities
who require such accommodations in order to (a) perform the
essential functions of their jobs, or (b) seek employment with
Sentry. We strive to build a diverse team, with an inclusive
culture where every teammate can thrive. Sentry is an open-source
company because we believe that everyone, everywhere, should have
the ability and tools to make great software. Software should be
accessible. That starts with making our industry accessible.
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Keywords: Sentry, Rohnert Park , Senior Machine Learning Engineer - Platform, Engineering , San Francisco, California
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