What you’ll bring to the team:     

(We are only considering candidates currently based in the Eastern Time Zone of the United States 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, in a software startup company.  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: