Senior Machine Learning Engineer - Sentry (sentry.io)｜Meet.jobs

About the role

As a Senior Machine Learning Engineer at on Sentry’s Machine Learning team, you will work with Engineering and Product leaders to contribute to our most advanced and impactful initiatives. 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 collaboration with product managers and other engineers, you'll be responsible for the end-to-end development of machine learning models and features that improve our users' experience. You will also have the opportunity to present your innovative ideas to our technical steering committee, mentor junior engineers, and grow in your technical and leadership abilities.

In this role you will

• Be a founding member of Sentry’s machine learning team, leading high-impact initiatives from problem definition to model deployment
• Collaborate with product management and the broader engineering teams to define, implement, and ship new machine learning features
• Foster transparency and collaboration by actively contributing to and engaging with our open-source community

You'll love this job if you

• Are driven by impact and enjoy working on high-stakes, high-visibility projects
• Enjoy building prototypes and taking ideas from 0→1 (and then deploying at scale)
• 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.
• Minimum 3+ years of hands-on experience with machine learning frameworks like TensorFlow or PyTorch.
• Experience building and deploying Retrieval Augmented Generation applications and/or fine tuning LLMs.
• Expertise in feature engineering, model evaluation, and deploying machine learning models in production environments.
• Solid understanding of distributed systems, data stores, data modeling, and performance tuning, particularly in the context of machine learning.
• Experience in writing technical documentation, mentoring, and presenting to technical audiences.
• Professional experience with relational databases like PostgresSQL.
• 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 $145,000 to $215,000. 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.

Sentry (sentry.io) focuses on Analytics, Open Source, Real Time, Apps, and Software. Their company has offices in San Francisco, Seattle, Toronto, and Vienna. They have a mid-size team that's between 51-200 employees. To date, Sentry (sentry.io) has raised $66.5M of funding; their latest round was closed on September 2019.

You can view their website at https://www.sentry.io or find them on Twitter, Facebook, and LinkedIn.