Machine Learning Engineer

Continuously improve code performance, scalability, and maintainability under the guidance of senior leadership.

Apply MLOps best practices—streamlining ML lifecycle from data preparation to deployment and monitoring, leveraging SageMaker, Databricks, Weights & Biases, Kubernetes, and modern ML serving stacks (Ray, vLLM, TensorRT).

Work with vector databases (Pinecone, Weaviate, FAISS, Milvus) to build semantic search and feedback-driven knowledge systems.

Build and maintain RAG pipelines using frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.

Integrate GPT-level services (OpenAI, Anthropic, Cohere, open-source models) into real-world applications.

Collaborate with data engineers, front-end developers, and scientists to ensure seamless integration of ML components.

Write production-grade code in Python and JavaScript to integrate ML models into products and services.

Design, develop, and fine-tune advanced machine learning models, with a strong focus on LLMs, OCR/document intelligence, and multimodal AI (text, vision, audio, structured data).

Design robust evaluation pipelines for LLM performance, hallucination detection, and implement safety guardrails for compliant AI usage.

Hands-on experience with OCR and document AI tools (e.g., Google Document AI, AWS Textract, Azure Form Recognizer, or Tesseract).

Familiarity with MLOps and modern deployment stacks (SageMaker, Databricks, Kubernetes, Ray, vLLM, TensorRT).

Exposure to agent-based frameworks for multi-agent orchestration (e.g., AutoGen, CrewAI, LangChain Agents).

Contribution to open-source ML/AI projects.

Excellent problem-solving and communication skills to work in interdisciplinary teams.

We are seeking a Machine Learning Engineer who is both a hardcore developer and an AI specialist—with strong expertise in Python and JavaScript as well as modern machine learning practices. From OCR and document intelligence to large language models (LLMs) and generative AI systems, you will design, deploy, and optimize intelligent systems that combine text, vision, and structured data into scalable, production-ready solutions. This role requires deep coding ability alongside cutting-edge ML knowledge.

Experience with full-stack development, including integrating ML services into web applications via REST/GraphQL APIs.

Proven experience with large language models (LLMs), including fine-tuning, prompt engineering, and RAG implementations.

Experience working with version control, CI/CD, and containerization (Docker).

Proficiency in SQL and cloud-based data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).

Background in evaluation pipelines for LLM performance and safety (bias detection, hallucination mitigation).

5+ years of experience as a Machine Learning Engineer or a similar role.

Strong coding practices with OOP principles and ability to contribute to complex, large-scale codebases.

This role is ideal for a strong coder who thrives at the intersection of hardcore software development and advanced AI. If you are passionate about building production-ready AI solutions that blend LLMs, OCR, and multimodal intelligence with robust engineering, we’d love to hear from you.

Experience working with multimodal AI systems that combine text, vision, and structured/tabular data.

Strong knowledge of deep learning architectures such as Transformers, CNNs, RNNs, and LSTMs across modalities (text, vision, multimodal).

Advanced proficiency in Python and JavaScript, with the ability to write clean, efficient, production-grade code.

Foosball, Ping Pong Table & basketball net

Education: Bachelor's or masters degree in Computer Science, Machine Learning, or a related field.

Free parking

Career advancement opportunities

Competitive salary

Gym facilities

A culture that promotes a healthy, fulfilling work-life balance

Benefits package for all eligible full-time employees (including medical, vision and dental).

Salary range: $120-160,000

Epic year-round employee events!