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 $82M seed through Series B extension 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 bring to the team:     

(We are only considering candidates based in the Eastern Timezone for this role)

• Proven Experience in Real-World ML: At least 5+ years of hands-on experience building and deploying ML models that contribute to core product features at scale. A track record of applying advanced statistical methods, time series analysis, or domain-specific ML techniques that have driven meaningful, measurable impact.
• Technical Mastery from End to End: Advanced proficiency in Python, pandas, and SQL, with the ability to operate seamlessly across the ML lifecycle—from data ingestion and feature engineering to production deployment and performance tuning.
• Clarity in Complexity: Skilled at transforming ML insights into clear, actionable narratives. Your visualizations and communication style empower stakeholders—technical and non-technical alike—to understand, trust, and act on model outputs.
• Strong Theoretical Foundation: A degree in Mathematics, Statistics, Computer Science, or a related Engineering field (or equivalent practical experience) that underpins your ability to innovate, experiment, and refine advanced ML approaches.

Ideal candidates will also have:

• Data Quality Expertise: Familiarity with diagnosing and resolving data quality issues. Experience with anomaly detection, data analytics, and building resilient data pipelines is a plus.
• LLM Prowess: Experience with Large Language Models—e.g., training, fine-tuning, and integrating LLMs into products—will help push our frontier in ML accessibility and user engagement.
• Holistic Engineering Perspective: Prior engineering experience across different layers of the data stack. This breadth supports building robust, maintainable ML systems and informs a more holistic approach to architectural decisions.

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

• Make a Significant Impact:
  • Tackle Complexity at Scale: Drive solutions for enterprise-scale data quality challenges by applying ML methodologies. You’ll go beyond off-the-shelf techniques to design and implement novel approaches that address intricate, real-world data environments.
  • Prioritize Pragmatic Solutions: In our fast-paced environment, we value first-principles thinking and building an effective 80% solution over using the latest algorithm for its own sake. You’ll deliver meaningful, real-world impact by grounding your approach in fundamentals and rapid iteration.
  • Shape Our Core Product: Lead the development of core features—your decisions and solutions will directly influence Anomalo’s technical direction, product roadmap, and customer experience.
  • Pioneer LLM-Driven Unstructured Data Quality: Expand our Large Language Model capabilities, enabling more intuitive interactions with our platform and building the world’s first tool for assessing data quality in unstructured data.

• Innovate and Grow:
  • Own the Algorithmic Backbone: Enhance and refine a suite of interpretable ML solutions. Your technical mastery will enable breakthroughs in how models are selected, optimized, and interpreted.
  • Visualize Insights: Craft sophisticated, custom visualizations that translate complex models and anomalies into actionable insights. Your work will ensure that end-users swiftly grasp and leverage ML-driven findings.
  • Scale Data Integrity Measures: Invent new methodologies for large-scale data monitoring and validation. You’ll mitigate false positives and push the envelope in anomaly detection, ensuring our platform sets industry standards.
  • Iterative Advancement: Continuously test, refine, and roll out models, optimizing for quality, performance, and cost. Your strategic improvements will keep Anomalo at the forefront of ML innovation, efficiency, and reliability.

• Collaborate and Lead:
  • Influence Beyond the Code: Engage directly with customers to understand their needs, shape feature development, and measure impact. Your feedback loop will inform both product improvements and long-term technical strategy.
  • Mentor and Inspire: Work closely with a diverse team, providing guidance and mentorship to peers while collaborating across verticals—from healthcare to finance—to develop solutions that stand the test of industry variation.
  • Cross-Domain Excellence: Leverage your broad ML expertise to adapt to different datasets, ensuring robust, scalable solutions that can handle varied complexity and constraints.

What you can expect from us:

• Collaborative, Inclusive Culture: Join a team where your ideas matter, in an environment that values innovation, learning, and the sharing of expertise.
• Professional Growth & Mentorship: Work on cutting-edge projects and receive mentorship that nurtures your growth. At Anomalo, you’ll advance your skills while tackling novel, high-impact challenges.
• Drive Meaningful Impact: Make a tangible difference in how businesses handle data, contributing to solutions that drive efficiency, accuracy, and innovation.

Perks of working at Anomalo:

• 🎯 Make An Impact: Join a growing company that delights our customers. Our modern UI and rich visualizations help our customers solve unknowns and anticipate data issues before they happen.
• 🔍 A values-driven, open and transparent culture that supports autonomy and growth.
• 🏡 Fully Remote: We were fully remote before it was a thing, and we believe your best work happens on your schedule. We offer a generous $1,000 stipend to ensure your remote office is comfortable.
• ✈ Quarterly Onsites: While we love the flexibility of being remote-first, we also recognize the value of spending time together in person. We make time to get together (in a new destination!) for a company-wide offsite each quarter.
• 🌴 Generous Time Off: Enjoy 17 company holidays and unlimited vacation time that we encourage you to take. We also have a company-wide winter break the last week of the year.
• 🩹 Health Benefits: Comprehensive family-friendly medical, dental, and vision insurance plans. Anomalo covers 90% of your premiums. We provide access to family planning and reproductive care for our employees and their families by partnering with Carrot Fertility. We provide mental health and wellness benefits for all employees, covered at 100%.
• 🍼 Family Comes First: We offer 16 weeks of parental leave, during which you will receive your full pay.
• 💸 Investment in the company & your future: Every employee is granted a meaningful equity package. We also offer life insurance and a 401(k) plan.

What we value:

• Rational Optimism - We rely on each other to make principled decisions backed by data and logic
• For & By All - Diverse, inclusive teams build better products that represent the needs of our customers
• Own It - We champion ownership, and we take accountability for our work
• Opacity Zero - Transparency enables our autonomous and fact-driven culture
• Outcomes > Hours - People should work when and where they will be most productive
• YOLO - Life's too short not to have fun at work