Applied Machine Learning Engineer

Summary

Join Anomalo as an Applied Machine Learning Engineer and make a significant impact on our data quality solutions. You will leverage your 5+ years of experience in building and deploying ML models at scale to tackle complex, real-world data challenges. Responsibilities include developing core product features, pioneering LLM-driven unstructured data quality solutions, and creating sophisticated visualizations. You will need advanced proficiency in Python, pandas, and SQL, along with a strong theoretical foundation in mathematics, statistics, or computer science. Anomalo offers a collaborative, remote-first culture with generous benefits, including unlimited vacation time, comprehensive health insurance, 16 weeks of parental leave, and a $1000 remote office stipend.

Requirements

• Have at least 5+ years of hands-on experience building and deploying ML models that contribute to core product features at scale
• Have a track record of applying advanced statistical methods, time series analysis, or domain-specific ML techniques that have driven meaningful, measurable impact
• Have 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
• Be skilled at transforming ML insights into clear, actionable narratives
• Have a degree in Mathematics, Statistics, Computer Science, or a related Engineering field (or equivalent practical experience)

Responsibilities

• Drive solutions for enterprise-scale data quality challenges by applying ML methodologies
• Design and implement novel approaches that address intricate, real-world data environments
• Deliver meaningful, real-world impact by grounding your approach in fundamentals and rapid iteration
• Lead the development of core features—your decisions and solutions will directly influence Anomalo’s technical direction, product roadmap, and customer experience
• 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
• Enhance and refine a suite of interpretable ML solutions
• Craft sophisticated, custom visualizations that translate complex models and anomalies into actionable insights
• Invent new methodologies for large-scale data monitoring and validation
• Mitigate false positives and push the envelope in anomaly detection, ensuring our platform sets industry standards
• Continuously test, refine, and roll out models, optimizing for quality, performance, and cost
• Engage directly with customers to understand their needs, shape feature development, and measure impact
• 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
• Leverage your broad ML expertise to adapt to different datasets, ensuring robust, scalable solutions that can handle varied complexity and constraints

Preferred Qualifications

• Have familiarity with diagnosing and resolving data quality issues
• Have experience with anomaly detection, data analytics, and building resilient data pipelines
• Have experience with Large Language Models—e.g., training, fine-tuning, and integrating LLMs into products
• Have prior engineering experience across different layers of the data stack

Benefits

• A collaborative, inclusive culture where your ideas matter, in an environment that values innovation, learning, and the sharing of expertise
• Opportunities to work on cutting-edge projects and receive mentorship that nurtures your growth
• The opportunity to make a tangible difference in how businesses handle data, contributing to solutions that drive efficiency, accuracy, and innovation
• A fully remote work environment with a $1,000 stipend for a comfortable remote office
• Quarterly company-wide offsites in new destinations
• 17 company holidays and unlimited vacation time
• A company-wide winter break the last week of the year
• Comprehensive family-friendly medical, dental, and vision insurance plans. Anomalo covers 90% of your premiums
• Access to family planning and reproductive care for employees and their families
• Mental health and wellness benefits covered at 100%
• 16 weeks of paid parental leave
• A meaningful equity package
• Life insurance
• A 401(k) plan