Machine Learning Engineer
3 skills required
Job Details
Who are we?
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
About the Team
The Machine Learning Engineering function is responsible for ensuring Smarsh can run state-of-the-art enterprise-grade machine learning at scale in a cost-effective manner. The Machine Learning Engineering Group develops and maintains the ML infrastructure, tooling, and analytic services to power intelligent applications. As the Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of advanced analytics that delivers communications intelligence that drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio. You will be part of a team of talented ML engineers collaborating closely with product managers, data scientists and other stake holders to deliver impactful solutions.
Roles and Responsibilities
- Work across teams to design complex solutions. Integrate multiple software projects to solve higher-level challenges.
- Expertise is computer science fundamentals. AI/ML elective in graduate studies is desirable.
- Work closely with Product Management and the rest of the engineering team to define features and their implementations with careful attention to quality, scalability, and maintainability.
- Can investigate and solve complex bugs, performance, security and scalability issues.
- Participate in troubleshooting and fixing Production Issues.
- Identify issue patterns and implement proactive measures to address the root causes.
- Collaborate with multiple agile teams to ensure their solutions integrate effectively.
- Track work in ticketing system (JIRA)
- Other duties as assigned.
Education & experience
- 2+ years industry experience.
- BS in CSE/Masters in CSE or equivalent.
- Or equivalent combination of education and experience
About our culture
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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