Applied Machine Learning Engineer (East Coast)

What you’ll bring to the team:     

(We are only considering candidates based in the Eastern Timezone 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. 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.