Senior Machine Learning Engineer - Research
Company: Sentry
Location: San Francisco
Posted on: October 18, 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 Engineer on
Sentry's AI/ML team, you'll be directly responsible for developing
the models and algorithms used to make our product smarter and more
capable. 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
- Solve hard problems in the fields of time-series analysis and
NLP
- Work directly with Sentry's novel (and massive) dataset of
errors, spans, and profiles
- Own the development of major initiativesYou'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 join
the AI/ML team as one of its foundational members
- Thrive in cross-functional teams and enjoy building features
alongside developers and product teamsQualifications
- Minimum 4+ years of professional experience with a MS/PhD
degree in computer science, machine learning, or a related
field
- Minimum 6+ years of professional experience with Bachelor's
degree in computer science, machine learning, or a related
field
- You are comfortable writing production quality code (we use
Python)
- Expertise with deep learning frameworks (we use PyTorch)
- Expertise applying statistical techniques and algorithms to
time-series data
- Familiarity with OLAP databases, ideally in the context of
time-series data
- Familiarity 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 to
$235,000. 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, Lodi , Senior Machine Learning Engineer - Research, Engineering , San Francisco, California
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