Machine Learning Ops Engineer, Cyberhaven
$150-250k
+ Stock options
Data detection & response platform
Be an early applicant
Data detection & response platform
101-200 employees
Be an early applicant
$150-250k
+ Stock options
101-200 employees
Company mission
To safeguard the flow of data in the digital economy so that creators maintain ownership and attribution of their work.
Role
Who you are
- 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 the job involves
- 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
- 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
- Go, Kubernetes, Bigquery, etc. on the backend
- Typescript, React, MUI, etc. on the frontend
- Python, Pytorch, Huggingface libraries in the ML stack, Vertex AI pipelines
- You will work on delivering in-house LLM models to production
Our take
Cyberhaven is a data detection and response (DDR) platform, blending risk management, cloud access security, and traditional DLP solutions to provide enterprises with robust data protection. As the landscape of data handling evolves, Cyberhaven's SaaS solution offers visibility into sensitive data across cloud and on-premises environments, disrupting the DLP industry.
Founded in 2016, Cyberhave has seen accelerated growth under the leadership of CEO Howard Ting, a marketing veteran. Recent strategic hires from McAffee and Microsoft bolster its senior management team, enhancing its capability to innovate in data protection. With ongoing advancements in its technology, Cyberhaven aims to solidify its position as a premier data security partner in the market.
Cyberhaven recently raised $88M in a Series C funding round. This funding, driven by a 200% increase in new bookings, underscores investor confidence in Cuberhaven's data protection innovations, fueling its expansion of products, global reach, and advancement in data lineage technology and AI capabilities.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jun 2024
$88m
SERIES C
Dec 2021
$33m
SERIES B
Total funding: $138.4m
Company benefits
- Remote-friendly culture
- 100% paid health benefits for you and your family
- Flexible time off
- Potential fast-tracked career advancement opportunities
Company values
- Research for ambitious goals: We’re not afraid of setting bold, audacious goals and are maniacally focused on achieving them. We strive to push the boundaries of what's possible and come up with creative solutions that make a real impact. We believe that breakthrough innovation is key to us successfully shaping a better tomorrow for all
- Think deeply and use sound reasoning: We start with first principles and work hard to deeply understand how things work. We’re direct with colleagues and have vigorous intellectual debates. Good ideas can come from anyone, regardless of their job title, and we make decisions on the merits of the argument and never based on politics
- Step up and take ownership: We take ownership, not just of our projects, but for the overall success of the company – identifying what’s holding us back and proactively making improvements. We put the team’s success above our own self interest and share knowledge openly. We are a little bit insecure and paranoid and do whatever it takes to ensure success
- Continuously learn and grow: Everyone is driven to continuously learn and improve, whether they’re just starting their career or a seasoned expert in their field. We actively create opportunities for people to take on new challenges and grow professionally
- Obsess about customers: We listen to our customers to understand their businesses intimately so we can solve their biggest problems. In everything we do that touches customers, we exceed their expectations for quality and reliability. When something urgent happens, we drop everything to help them
- Enjoy the journey: Building a great company isn’t enough, we also want to have fun along the way. We’re serious when it matters but also enjoy working together and joking around. We demonstrate we care about others and recognize them for their contributions and accomplishments
Company HQ
Evergreen Park, Palo Alto, CA
Articles
Leadership
Howard Ting
(CEO, Not Founder)Joined Cyberhaven as CEO in 2020 after serving as the CMO at Redis Labs, ZScaler, and Nutanix.
Vitaly Chipounov
(Co-Founder)Doctor of Philosophy and Computer Science at Ecole Polytechnique Fédérale de Lausanne, where they built S²E – a platform for multi-path in-vivo analysis of complex software systems. They turned this into commercial software at Cyberhaven.
Cristian Zamfir
(Co-Founder)Computer Science PhD at Ecole Polytechnique Fédérale de Lausanne. Inventor of Execution Synthethis, a celebrated method which automates the debugging of concurrent software.
Volodymyr Kuznetsov
(Co-Founder & CTO)Doctor of Philosophy and Computer Science at Ecole Polytechnique Fédérale de Lausanne, where they researched ways of using program analysis and instrumentation to solve cyber security problems.
Radu Banabic
(Co-Founder)Obtained a PhD from Ecole Polytechnique Fédérale de Lausanne, after developing tools and approaches that automatically find bugs and vulnerabilities in large systems such as Apache HTTP, MySQL, BIND, or PBFT. Won the IBM PhD Fellowship Award for this research.
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