MLOps Engineer

About Cyberhaven:

Joining Cyberhaven offers a unique opportunity to be at the forefront of revolutionizing data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution.

Position Overview:

We’re looking for an experienced ML Ops engineer to help drive and evolve our product, focusing on high-impact innovation projects as part of our Linea AI team. You will be working on cutting-edge technology and ideas and bringing AI prototypes to production. You will work closely with Labs team to operationalise and scale AI prototypes across many customers.

What you’ll do:

• You’ll work in fast-paced environments on new features that use AI at its core.

• You'll work with a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale in real-time. Instances of our product are processing billions of events from tens of thousands of endpoints in real-time with subsecond latency requirements.

• You get to work with a modern and constantly evolving microservices-based software stack which includes

• You will work on delivering in-house LLM models to production

Qualifications:

• You love innovation and have an entrepreneurial mindset, eager to solve challenging real-world problems with breakthrough technology

• You have a strong track record in building full-stack applications that are actively used at scale

• You have experience developing large applications in Go / Python

• You have experience developing and deploying Machine Learning Operations at scale.

• You have hands-on experience with microservices, Kubernetes (both development and DevOps), and observability technologies like Prometheus.

• You have 2+ years of experience with ML Ops technologies

• You have 5+ years of experience with DevOps or Backend development

• You have production experience working with large-scale foundational models and transformer-based architecture (GenAI)

What you can count on:

• Competitive start up salary and generous stock options

• Flexible time off

• Potential fast-tracked career advancement opportunities

• Experience building something from the ground up

At Cyberhaven, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate’s skills and experience, as well as market demands and internal parity. The estimated base salary for this role is $150k to $250k. This estimate can vary based on the factors described above, so the actual starting annual base salary may be above or below this range. This estimate is also just one component of Cyberhaven's total rewards package.

Cyberhaven is the AI-powered data security company revolutionizing how companies detect and stop the most critical insider threats to their most important data. We've raised over $140M from leading Silicon Valley investors like Khosla and Redpoint. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Crowdstrike, Nutanix, Palo Alto Networks, Meta, Google, Slack, and others.

Our company values are:

• Think Deeply and Use Sound Reasoning

• Step Up and Take Ownership

• Continuously Learn and Grow

• Obsess About Customers

• Enjoy the Journey

• Reach for Ambitious Goals

Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.