MLOps Engineer
Candidates are expected to be in our San Jose office 5 days a week. Need to be local to bay area or relocate on their own
Hiring MLOps Engineers for an Exciting Startup in the SF Bay Area!
Are you passionate and eager to make a significant impact in the cybersecurity space? Join us at our cutting-edge startup in the San Francisco Bay Area, where we assemble a world-class team to tackle some of the most pressing challenges in cybersecurity.
Why Join Us?
$25M Seed Funding: We are well-funded, with $25 million raised in our seed round, providing the resources to innovate and scale rapidly.
Proven Early Success with Fortune 500 Customers: We have started partnering with Fortune 500 companies, marking early success and growing trust in our innovative solutions. This highlights the immense potential and reliability of our AI-powered cybersecurity offerings.
Experienced Leadership: Our founding team consists of second and third-time entrepreneurs, each with over 25 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals, positioning us to lead in AI-powered cybersecurity.
World-Class Leadership Team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
Cutting-Edge AI Solutions: Our team leverages the most advanced AI technologies, including Large Language Models (LLMs) and Generative AI.
Generous Compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.
Cybersecurity Knowledge Preferred but Not Required: While experience in cybersecurity is a plus, we are primarily seeking top-tier talent in microservices architecture, software development, and/or DevOps who are passionate about solving complex problems.
What You'll Do
Design and implement MLOps pipelines to automate model deployment to cloud infrastructure.
Manage the end-to-end lifecycle of computer vision models, including testing, integration, release, continuous monitoring, and scaling in cloud environments.
Optimize cloud infrastructure for cost, performance, and efficiency.
Collaborate with machine learning engineers and data scientists to ensure optimal model performance, scalability, and reliability.
Develop reusable tools and frameworks to simplify future model deployments and reduce friction for other engineers.
Stay up to date with the latest industry trends in MLOps and machine learning deployment technologies, bringing innovative solutions to enhance our capabilities.
Who You Are
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Track record of building robust, maintainable machine learning infrastructure.
Proven expertise in designing and managing large-scale, distributed machine learning systems.
Ability to own projects from design to implementation, comfortable operating autonomously.
Strong programming skills in Python and experience with popular computer vision and machine learning libraries such as PyTorch and TensorFlow.
Strong communication skills, capable of sourcing technical requirements from multiple stakeholders.
A forward-thinking engineer passionate about building tools and systems that empower others.
Experience
Experience managing high throughput, scalable machine learning deployments, particularly in computer vision.
Experience with containerization and orchestration technologies (e.g., Docker, AKS, Kubernetes).
Familiarity with cloud services, IaC and Azure experience preferred
Understanding the pros and cons of running a model on the edge vs the backend, and how to help make those decisions a plus.
- Our backend APIs are built with TypeScript, Node.js, Redis, Kafka, and PostgreSQL and run in Azure. You do not need to know these, but we prefer that you are open to full-stack development.
Our Culture and Team
Collaborative Environment: You’ll join a dynamic, fast-paced startup where innovation thrives and every team member's voice is valued.
World-Class Leadership: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s best and most influential companies, ensuring top-tier mentorship and strategic direction.
Growth Opportunities: We support your professional development through mentorship, access to industry conferences, and opportunities to work on cutting-edge AI projects that make a global impact.
Diversity and Inclusion: We are committed to building a diverse and inclusive team that brings a variety of perspectives to solving today’s cybersecurity challenges.
Work Location
Our office is in the Silicon Valley Center in North San Jose, CA, providing a collaborative environment where innovation thrives.
Perks and Benefits
Comprehensive health benefits (medical, dental, and vision).
Generous wellness stipends and professional development budgets.
Equity options ensure you have a stake in the company’s success.
Access to the latest tools and technologies for AI/ML development.
Ready to join us on this groundbreaking journey? Apply today to become part of our mission to revolutionize cybersecurity with AI!
#MLOps #AI #MachineLearning #Software Development #Azure #microservices #kubernetes #Cybersecurity #Startup #Hiring #SanFranciscoBayArea #Innovation #TechJobs
Candidates are expected to be in our San Jose office 5 days a week. Need to be local to bay area or relocate on their own
Hiring MLOps Engineers for an Exciting Startup in the SF Bay Area!
Are you passionate and eager to make a significant impact in the cybersecurity space? Join us at our cutting-edge startup in the San Francisco Bay Area, where we assemble a world-class team to tackle some of the most pressing challenges in cybersecurity.
Why Join Us?
$25M Seed Funding: We are well-funded, with $25 million raised in our seed round, providing the resources to innovate and scale rapidly.
Proven Early Success with Fortune 500 Customers: We have started partnering with Fortune 500 companies, marking early success and growing trust in our innovative solutions. This highlights the immense potential and reliability of our AI-powered cybersecurity offerings.
Experienced Leadership: Our founding team consists of second and third-time entrepreneurs, each with over 25 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals, positioning us to lead in AI-powered cybersecurity.
World-Class Leadership Team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
Cutting-Edge AI Solutions: Our team leverages the most advanced AI technologies, including Large Language Models (LLMs) and Generative AI.
Generous Compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.
Cybersecurity Knowledge Preferred but Not Required: While experience in cybersecurity is a plus, we are primarily seeking top-tier talent in microservices architecture, software development, and/or DevOps who are passionate about solving complex problems.
What You'll Do
Design and implement MLOps pipelines to automate model deployment to cloud infrastructure.
Manage the end-to-end lifecycle of computer vision models, including testing, integration, release, continuous monitoring, and scaling in cloud environments.
Optimize cloud infrastructure for cost, performance, and efficiency.
Collaborate with machine learning engineers and data scientists to ensure optimal model performance, scalability, and reliability.
Develop reusable tools and frameworks to simplify future model deployments and reduce friction for other engineers.
Stay up to date with the latest industry trends in MLOps and machine learning deployment technologies, bringing innovative solutions to enhance our capabilities.
Who You Are
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Track record of building robust, maintainable machine learning infrastructure.
Proven expertise in designing and managing large-scale, distributed machine learning systems.
Ability to own projects from design to implementation, comfortable operating autonomously.
Strong programming skills in Python and experience with popular computer vision and machine learning libraries such as PyTorch and TensorFlow.
Strong communication skills, capable of sourcing technical requirements from multiple stakeholders.
A forward-thinking engineer passionate about building tools and systems that empower others.
Experience
Experience managing high throughput, scalable machine learning deployments, particularly in computer vision.
Experience with containerization and orchestration technologies (e.g., Docker, AKS, Kubernetes).
Familiarity with cloud services, IaC and Azure experience preferred
Understanding the pros and cons of running a model on the edge vs the backend, and how to help make those decisions a plus.
- Our backend APIs are built with TypeScript, Node.js, Redis, Kafka, and PostgreSQL and run in Azure. You do not need to know these, but we prefer that you are open to full-stack development.
Our Culture and Team
Collaborative Environment: You’ll join a dynamic, fast-paced startup where innovation thrives and every team member's voice is valued.
World-Class Leadership: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s best and most influential companies, ensuring top-tier mentorship and strategic direction.
Growth Opportunities: We support your professional development through mentorship, access to industry conferences, and opportunities to work on cutting-edge AI projects that make a global impact.
Diversity and Inclusion: We are committed to building a diverse and inclusive team that brings a variety of perspectives to solving today’s cybersecurity challenges.
Work Location
Our office is in the Silicon Valley Center in North San Jose, CA, providing a collaborative environment where innovation thrives.
Perks and Benefits
Comprehensive health benefits (medical, dental, and vision).
Generous wellness stipends and professional development budgets.
Equity options ensure you have a stake in the company’s success.
Access to the latest tools and technologies for AI/ML development.
Ready to join us on this groundbreaking journey? Apply today to become part of our mission to revolutionize cybersecurity with AI!
#MLOps #AI #MachineLearning #Software Development #Azure #microservices #kubernetes #Cybersecurity #Startup #Hiring #SanFranciscoBayArea #Innovation #TechJobs