Manifold is a full-service AI consulting company offering a complete range of AI engineering services, including machine learning, data science, data engineering, devops, cloud, and edge.
We have a proven ability to design, build, deploy, and manage complex data applications. Manifold is trusted by CTOs, CIOs, and GMs at Global 500 and high-growth companies. Our work spans industries such as consumer electronics, industrials, wireless, online commerce, digital health, and more.
Manifold's experienced engineers have a track record of innovation at organizations like Google, Qualcomm, MIT, and successful venture-backed startups. Our Advisory Board includes leading researchers in deep learning at Stanford and Harvard.
In this role at Manifold you will architect and develop cloud based infrastructure for building data pipelines and deploying our Machine Learning solutions to production in our client environments. Additionally you will build and maintain Manifold's internal cloud infrastructure used for R&D, rapid prototyping, and for hosting solutions we build for clients. Machine Learning Operations is a rapidly changing field and this is an opportunity to be exposed to the entire ML development lifecycle and develop new ways for getting models to production more efficiently.
WHAT YOU'LL DO
- Design and build new infrastructure from scratch to host data engineering and ML solutions in production
- Develop new internal tools leveraging Docker for helping Machine Learning Engineers to work more efficiently
- Participate in infrastructure and security reviews with clients
- Work in AWS, GCP, and Azure clouds
- Contribute to and help maintain open source Data Engineering and ML Ops tools we build for the AI community
WHO YOU ARE
You are someone who:
- Has 3-5 years of Operations experience
- Is looking for new challenges to apply your DevOps experience to
- Is interested in learning about how the data engineering and ML development lifecycle works
- Wants to help define new best practices for getting models to production reliably
- Is a quick learner and wants opportunities to work in multiple cloud platforms
- Enjoys building things from scratch
- Has configured a P2S VPN within AWS or equivalent cloud environment
In your past work, you probably have:
- Supported engineering teams in an Operations role and a production application for at least 1 year in an Operations role
- Built deployment pipelines
- Built a secure cloud environment from scratch
- Used Terraform to build infrastructure and convinced people why IaC is good
- Worked extensively with VPCs and Virtual Networks
- Built an internal tool used by other engineers to increase productivity
- Debugged networking issues with tcpdump
WHAT WE OFFER
AUTONOMY
Doing our most creative work without the frictions of bureaucratic decision-making and inefficient meetings.
GROWTH
Growing professionally and personally by working with other exceptional people in tackling challenging problems.
PURPOSE
Making the kind of impact on other organizations and people that make every day fulfilling.
CULTURE
Optimistic, curious, humble, generous, transparent, and in control of our own destiny.
TOP QUARTILE COMPENSATION
We benchmark our compensation framework to market every year using the same data that large technology companies use.