AI/Machine Learning Engineer

Veritone • Irvine, CA

3d

About The Position

The AI/ML Engineer will participate in building, documenting, and refactoring production-grade AI/ML pipelines, model integration layers, and scalable features that grow with business needs.

Requirements

• At least 3 years of professional experience building and deploying software systems, with direct experience integrating, fine-tuning, or operating AI/ML models in production environments.
• Deep proficiency with Python and standard ML libraries (e.g., PyTorch, NumPy, Pandas, Scikit-learn, Hugging Face).
• Hands-on experience with LLMs, RAG architectures, prompt engineering, or traditional ML model pipelines and inference serving.
• Ability to design and implement robust APIs and backend microservices in Python (bonus if experienced with Go or Node.js).
• Professional experience working with RDBMSs, NoSQL DBs, and Vector Databases.
• Demonstrated participation in the successful deployment, monitoring, and scaling of machine learning workloads and production code.

Nice To Haves

• Familiarity with our tech stack: AI/ML & Data: Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone, Qdrant, pgvector)
• MLOps & Infrastructure: Docker, Kubernetes, MLflow / Weights & Biases, Cloud ML Platforms (AWS SageMaker, GCP Vertex AI, etc.)
• Backend & API: Python, Go, Node.js, GraphQL, ElasticSearch, and Postgres
• Experience with Go or Node.js

Responsibilities

• Identify and analyze areas in existing code, model inference workflows, and data pipelines for optimization, efficiency, and latency improvements.
• Partner with product, design, data, and infrastructure teams to integrate AI/ML capabilities and intelligent services into application workflows.
• Participate in on-call support rotation for production ML services, if necessary.
• Actively participate in team meetings: sharing knowledge on emerging AI trends, asking questions, and challenging assumptions.
• Actively help your team meet their commitments.
• Be open to constructive feedback from teammates and management.
• Continuously improve technical skills and stay current with rapid developments in the AI/ML landscape.
• Write maintainable code, including unit/integration tests, evaluation benchmarks, and readable code.
• Learn new frameworks, algorithms, and technical stacks quickly.

Benefits

• incentive compensation
• health benefits
• retirement benefits
• life insurance
• paid time off
• parental leave and benefits
• other employee perks and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed