Senior Machine Learning Systems Engineer
2 days ago
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 role As 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. Equal Opportunity at Sentry Sentry 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. #J-18808-Ljbffr
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Senior Machine Learning Engineer
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San Francisco, United States Machine Intelligence Technologies LLC. Full timeW-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters. Job Overview Specialized Area: Machine learning Job Title: Senior Machine Learning Engineer Location: [To...
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Senior Machine Learning Systems Engineer
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San Francisco, United States Sentry Full timeAbout 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...
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San Francisco, California, United States EPAM Systems Full timeAbout EPAM SystemsEPAM Systems is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities.We OfferA highly competitive salary range of $160K - $170K per year, based on your qualifications and experience.About the RoleWe are seeking a...
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Senior Machine Learning Systems Engineer
7 minutes ago
San Francisco, CA, United States Sentry Full timeAbout the role As 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...
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San Francisco, United States Unreal Gigs Full timeCompany Overview: Welcome to the cutting-edge of AI-driven innovation! At our company, we're pioneers in leveraging machine learning to revolutionize industries. We're committed to building robust infrastructure that powers our machine learning models at scale. Join us and be part of a dynamic team shaping the future of AI infrastructure engineering....
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San Francisco, United States Robotics Technologies LLC Full timeW-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters. Job Overview Job ID: J38565 Specialized Area: Machine learning Job Title: Senior Machine Learning...
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