Senior ML/AI Engineer

Clera

$170K — $230K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of hands-on experience in machine learning, specifically in production systems.
  • Expertise in Python and at least one machine learning framework like PyTorch or TensorFlow.
  • Experience with agentic AI systems and LLM integrations, such as LangChain.
  • Practical experience with graph databases for complex data representation.
  • Strong SQL skills for efficient data handling and querying.
  • M.S. or Ph.D. in Computer Science, Machine Learning, or related field.
  • Experience at large tech companies or high-growth startups with live ML systems.
  • Familiarity with Go programming language is a bonus.

Responsibilities

  • Design, build, and deploy machine learning models for enterprise demand forecasting and analysis.
  • Develop an agentic AI architecture to autonomously reason across diverse data sources.
  • Create and maintain end-to-end machine learning pipelines for data processing and deployment.
  • Architect systems integrating RAG and LLM for natural language interfaces.
  • Collaborate with backend engineers to ensure models are production-ready.
  • Monitor and improve model performance through continuous evaluation and retraining.
  • Stay updated with AI research to integrate innovations into the platform.

Benefits

  • Opportunity to work with an early-stage, innovative AI-native consumer intelligence platform.
  • Be part of a core AI team driving impactful solutions for enterprise clients.
  • Engage deeply with both applied research and practical deployment of AI systems.
  • On-site collaboration in a vibrant New York City location.
Full Job Description
About the Role

This is a senior individual contributor role on the core AI team of an early-stage, AI-native consumer intelligence platform. You'll design and deploy the intelligent systems - from demand forecasting models to agentic reasoning architectures - that deliver real, measurable value for large enterprise retail clients. The work sits squarely at the intersection of applied research and production-grade deployment.
What You'll Do
  • Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale.
  • Develop and iterate on an agentic AI architecture that reasons across heterogeneous data sources and takes autonomous action.
  • Build and maintain end-to-end ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and production deployment.
  • Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows.
  • Collaborate with backend engineers to ensure models meet production standards for latency, reliability, and scale.
  • Own model performance end-to-end: monitoring, retraining, and continuous improvement in production.
  • Stay current with AI research and bring relevant innovations into the platform.
What We're Looking For
  • 3+ years of hands-on ML experience, focused on building and delivering production ML systems (not primarily software engineering with minimal ML exposure).
  • Deep proficiency in Python and at least one major ML framework (PyTorch, TensorFlow, or equivalent).
  • Production experience building agentic systems and LLM harnesses (e.g. using LangChain or similar).
  • Hands-on experience with graph databases.
  • Strong SQL skills for data querying and manipulation.
  • M.S. or Ph.D. in Computer Science, Machine Learning, or a closely related field.
  • Background working at scale - large tech companies or high-growth startups with live, production ML systems.
  • Go programming language experience is a plus.
Compensation & Benefits

Base salary range: $170,000 - $230,000 USD annually. Visa sponsorship is not available for this role.
Location

On-site in New York, NY, USA.

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