Sentry
Senior Machine Learning Engineer - Platform
Sentry, San Francisco, California, United States, 94199
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 pipelines
You’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 applications
Qualifications
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 teams
The 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.
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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 pipelines
You’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 applications
Qualifications
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 teams
The 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.
#J-18808-Ljbffr