MLOps Engineer

Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.

Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.

This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI. 

As an ML Ops Engineer 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 streamline the development process and to deploy and monitor machine learning models in production.  You will work with the Platform Engineering team to deploy and maintain the infrastructure and the CI/CD processes supporting our ML initiatives, and apply your understanding of ML, and ML tooling and technology, to continuous optimization efforts.

What you’ll do:

• Improve the efficiency of ML development and model deployment processes.
• Enable and manage model serving tooling, scaling strategies and compute resources.
• Optimize model performance and design inference graphs/workflows.
• Manage the efficiency of model serving by selecting proper scaling strategies and compute resources.
• Build scalable ML infrastructure using managed services and Cloud Native tooling.
• Collaborate with data scientists and software engineers to improve the integration of ML into our platform and applications.

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 proficiency in programming languages such as Python, Java or C++
• 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 vector databases, RAG, similarity and semantic search.
• Experience with high performance ML frameworks like ONNX, TensoRT, vLLM, etc.
• Familiarity with multimodal AI.
• 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.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.