Lully

Machine Learning Engineer

Lully

full-time

Posted on:

Location Type: Hybrid

Location: United States

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Tech Stack

GoPython

About the role

  • You’ll be building AI models that make human-like conversations possible.
  • Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.
  • Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.
  • Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
  • Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.
  • Ensure data quality, observability, and performance across all AI systems.
  • Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.

Requirements

  • Strong experience in machine learning, deep learning, and NLP.
  • Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.
  • Proficiency in Python and familiarity with Go.
  • Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
  • Ability to design ML systems for robustness, scalability, and automation.
  • Strong coding, debugging, and data engineering skills.
  • Passion for AI infrastructure and its real-world impact.
  • Founder mindset: ownership, independence, and willingness to go deep.
  • Experience in speech recognition, TTS, or audio processing (Nice to Have).
  • Familiarity with LLMs, generative AI, or real-time inference systems (Nice to Have).
Benefits
  • Opportunity to work at a high-growth AI startup, backed by top investors.
  • Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
  • Ownership & Autonomy - Take full ownership of projects and ship fast.
  • Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
  • Comprehensive Benefits - Healthcare, dental, vision coverage.
  • Work With the Best - Join a world-class team of engineers and builders
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdeep learningnatural language processingMLOpsdata pipelinesPythonGoMLflowKubeflowWeights & Biases
Soft Skills
codingdebuggingdata engineeringownershipindependencewillingness to go deep