MLOps (Vector DB Specialist)

As an ML Ops Engineer with Vector Databases and Similarity Search Specialization at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML infrastructure.  You will work closely with Research Scientists, ML Engineers, Software Engineers, and Product Managers to deploy and monitor machine learning models in production.  As a specialist in the area of vector databases, your expertise will guide and refine  how we leverage this technology in our research and development and in our product offerings.

What you’ll do:

• Design, implement, and maintain scalable vector database solutions to support machine learning models.
• Automate the deployment and monitoring of ML models.
• Collaborate with data scientists and software engineers to integrate vector search capabilities into production systems.
• Monitor and enhance the performance, reliability, and scalability of vector search services.
• Stay updated with advancements in vector databases and similarity search methodologies.

What we're looking for:

• Bachelor's or Master’s degree in Computer Science, Data Science or a related field.
• 5+ years of experience and profiency in programming languages such as Python, Java or C++
• Experience deploying and operating vector databases (e.g., Milvus, Pinecone, pgvector, etc.) in production.
• Familiarity with machine learning frameworks and MLOps practices.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
• Experience with monitoring tools like Datadog, NewRelic, or similar.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications:

Experience with model interpretability and explainability tools.

What you can expect from us:

This is a hybrid position based in San Jose, California.

The estimated annual base salary for this position is between *$186,000-$220,000.

At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:

• Equity grants
• 100% medical, dental, & vision coverage for you
• Medical, dental, & vision partially covered for your dependents
• Unlimited PTO
• Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.

Further, you can expect a supportive work environment from us. We build products, but we develop people. 

Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.

*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.