About Anomalo

Data management solutions accounted for more than one-fifth of all enterprise infrastructure spend in 2021. The “modern data stack” promises a centralized data platform for powering valuable new applications, from AI-powered products to real-time analytics.

Unfortunately, a big problem stands in the way of most data projects and products – the issue of data quality. Rules-based data quality approaches that worked when data was small and tightly controlled don’t scale. And with more data sources, transformations, and users, quality issues are multiplying fast. The vast majority of issues go uncaught—until they lead to an expensive fire drill.

Anomalo is the automated AI solution that plugs directly into the modern data stack and automatically monitors tables for a wide range of data quality issues. Our software uses unsupervised learning to catch deep problems in the data, like sudden changes in the distribution, that aren’t covered by static rules or basic observability. With built-in root cause analysis, Anomalo shows not only whether data is anomalous but also why and what the impact is. This prevents data issues from reaching dashboards, reports, and products, while data teams spend less time debugging and more time building.

We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover Financial Services, Buzzfeed, and Notion. The company has raised a total of $72M seed through Series B funding and is backed by top-tier venture firms like SignalFire, Norwest Venture Partners, Databricks Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital.

Anomalo is building the platform that data-driven companies need to be able to make good data-driven decisions, and would love to have you join for the ride.

What you’ll do as an Applied Machine Learning Engineer at Anomalo:

• Make a Significant Impact:
  • Solve Complex Problems: Take the vast problems of data quality and solve them using Machine Learning methods, breaking them down from first principles to deliver innovative solutions.
  • Drive Product Evolution: Lead the development of features at the heart of Anomalo. Your work will directly empower our customers to swiftly identify, triage, and resolve data quality issues, enhancing their operational efficiency.
  • Enhance ML Accessibility: Elevate Anomalo’s capabilities in Large Language Models (LLMs) and broaden our feature set, democratizing data quality monitoring for all users, not just the technically adept.

• Innovate and Grow:
  • Pioneer in ML: Own and enhance a suite of interpretable ML tools, leveraging your expertise to make significant advancements in how algorithms are applied and understood.
  • Visualize Success: Craft bespoke visualizations that make complex ML findings clear and actionable, enabling customers to easily grasp and act on data insights.
  • Advance Data Integrity: Innovate in monitoring and validating data at scale, developing new methodologies that minimize false positives and expand our automated anomaly detection capabilities.
  • Iterative Excellence: Iterate and roll out new models to continuously improve in the three dimensions: quality, performance, cost. Your contributions will not only advance our technology but also ensure it remains at the cutting edge of efficiency and effectiveness.

• Collaborate and Lead:
  • Customer-Centric Development: Engage directly with users to gather feedback on your features, seeing firsthand the impact of your solutions and refining them for even greater impact.
  • Cross-Domain Innovation: Apply your ML prowess across diverse sectors—healthcare, finance, consumer goods—creating robust solutions that excel in varied data environments.

What you’ll bring to the team:

• Experienced Innovator: 5+ years of experience applying ML in real-world settings, with a knack for statistical modeling, time series analysis, and meaningful data visualizations.
• Technical Excellence: Proficient in Python, pandas, SQL, with a strong foundation in translating complex ML concepts into clear, actionable insights.
• Educational Foundation: A degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent practical experience, underpinning your technical expertise

Ideal candidates will also have:

• Deep Data Quality Knowledge: Experience in identifying and resolving data quality issues, with a keen interest in anomaly detection and data analytics.
• LLM Expertise: A background in leveraging Large Language Models to address business challenges, enhancing our technological edge.
• Versatile Engineering: Prior full-stack engineering experience, showcasing a broad skill set and a holistic approach to technology solutions.

What can you expect from us:

• Collaborative Culture: Join a team where your ideas matter, in an environment that values innovation, learning, and the sharing of expertise.
• Growth Opportunities: We're committed to your professional development, offering continuous learning opportunities, mentorship, and the chance to work on cutting-edge projects.
• Impactful Work: Make a tangible difference in how businesses handle data, contributing to solutions that drive efficiency, accuracy, and innovation.

Salary range:

• The estimated annual salary range for this role is $210,000 - $280,000 plus meaningful equity

Benefits:

• A best in class benefits package including: unlimited time off, comprehensive medical, dental, and vision, fertility and family planning coverage, mental health and wellness coverage, quarterly offsites in exciting destinations to spend time with your colleagues

Travel:

• Planned travel once per quarter to spend time with the team is required

Perks of working with us:

What we value: