Senior ML/AI Engineer

Clera

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

Qualifications

  • M.S. or Ph.D. in Computer Science, Machine Learning, or related field
  • 3+ years of ML-focused hands-on experience
  • 3+ years in ML systems architecture and production ML pipelines
  • Deep proficiency in Python and ML frameworks like PyTorch or TensorFlow
  • Independent work authorization; no visa sponsorship available
  • Experience in building agentic systems and harnesses
  • Hands-on experience with graph databases and strong SQL skills

Responsibilities

  • Design, build, and deploy ML models for various applications including demand forecasting and anomaly detection
  • Develop the agentic AI architecture overseeing data interactions and autonomous actions
  • Build and maintain robust ML pipelines covering data preprocessing to production deployment
  • Architect RAG systems and LLM integrations enhancing natural language interfaces
  • Collaborate with backend engineers for optimized production-grade models
  • Own the entire model performance lifecycle including monitoring and retraining
  • Stay updated with AI research and integrate innovative findings into the platform

Benefits

  • Early-stage equity in a high-growth, AI-native company
  • On-site work environment in New York, NY
Full Job Description
About the Role

As a Senior ML/AI Engineer, you'll work at the intersection of cutting-edge research and real-world enterprise deployment, designing intelligent systems that drive measurable business impact at scale. This is applied AI at its most impactful.
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 the platform's agentic AI architecture - building systems that reason across heterogeneous data sources and take autonomous action
  • Build and maintain robust ML pipelines: 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 are production-grade - optimized for latency, reliability, and scale
  • Own model performance end-to-end: monitoring, retraining, and continuous improvement in production
  • Stay at the frontier of AI research and bring relevant innovations into the platform
What We're Looking For

Required (Dealbreakers):
  • M.S. or Ph.D. in Computer Science, Machine Learning, or a related field
  • 3+ years of hands-on, ML-focused experience (not purely software engineering with minimal ML exposure)
  • 3+ years working in ML systems architecture, building and delivering production ML pipelines
  • Deep proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or equivalent
  • No visa sponsorship available - candidates must be independently authorized to work

Also Required:
  • Production experience building agentic systems and harnesses
  • Hands-on experience with graph databases
  • Strong SQL proficiency for data querying and manipulation

Nice to Have:
  • Experience working at scale - large tech companies or high-growth startups with production ML systems (backgrounds from firms such as Meltwater, NielsenIQ, Qualtrics, Medallia, Kantar, or similar enterprise analytics/intelligence companies are a strong signal)
  • Experience with the Go programming language
Compensation & Benefits
  • Salary: $170,000 - $230,000 USD annually, depending on experience
  • Early-stage equity in a high-growth, AI-native company
Location

This is an on-site role based in New York, NY, USA. Candidates must be local or willing to relocate. Visa sponsorship is not available.

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