MLOps Engineer

United States or Canada

Manifold AI

Manifold: Building impactful data and AI businesses.

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MLOps engineers at Manifold work at the intersection of machine learning, software engineering, and cloud architecture. You’ll collaborate with Machine Learning engineers to identify customers’ business goals and identify which MLOps tools and best practices will achieve those goals reliably and efficiently. You’ll have a major impact on our internal products as well, including defining and building our MLOps Foundry model.

Using traditional DevOps technologies like Kubernetes or Docker, you will build ML Infrastructure to add immense value to our ML team and alleviate roadblocks for our engineers. You’ll get exposure to the entire machine learning development lifecycle, especially inference and deployment. 

As an MLOps engineer, a large portion of your time and energy will be focused on a cross-functional team building scientific infrastructure for the modern era. You will partner with customers across the private, public, and nonprofit sectors to transform the way they use data and scale their impact. The organizations that you collaborate with will range from high tech, global life sciences companies to leading research institutions. You will be a vital part of a world-class team that combines the product design and engineering expertise of the world’s top software companies with the scientific expertise of the world’s top research institutions. You’ll have a voice in the room from day one, providing technical feasibility assessments to the Product Manager and Designer to ensure that we can build what we say we’re going to build.

This opening is for MLOps Engineers of all levels, and our interview process will evaluate your background and experience to assess your current level and enable you to be successful in your role here.

About You

At Manifold, we embrace our differences—we believe an inclusive and diverse team is critical for innovation. Please get in touch even if you do not match this background description 100%.

  • Past job titles may have included: DevOps Engineer, SRE, Platform Engineer, Infrastructure Engineer, Cloud Engineer, and/or Production Engineer.
  • You are comfortable writing and reviewing code in a programming language such as Python, Java etc.
  • You’ve built deployment pipelines, built a secure cloud environment from scratch, and have worked extensively with VPCs and Virtual Networks.
  • Familiar with CI, CD & Deployment tooling
  • You have experience with a major cloud provider (AWS, Azure, and/or GCP).
  • You are a proponent of Infrastructure as Code (and have experience with Terraform or similar tools).
  • You are someone who likes to work closely with ML engineers and data scientists designing and building solutions
  • You like building tools and frameworks which will enable us to improve and scale how we build ML systems and pipelines 
  • You have a passion for creating data infrastructure technologies from scratch using the right tools for the job and have a passion for building AI/ML platforms
  • You enjoy learning, growing your skillset, and sharing your knowledge with others

About Manifold:
Manifold is an AI company that builds scientific infrastructure for the modern era. We partner with customers across the private, public, and nonprofit sectors to transform the way they use data and scale their impact. Our customers range from high tech, global life sciences companies to leading research institutions. Our world-class team combines the product design and engineering expertise of the world’s top software companies with the scientific expertise of the world’s top research institutions.

We have physical offices in Boston and San Francisco, cohorts in Boulder, Louisville and Seattle but we welcome applicants from across the United States and Canada! Manifold is backed by former board members and executives from Amazon Robotics, Auris Health, Elevation Pharmaceuticals, Pillpack, and Brightree.

We understand that an inclusive culture requires deliberate, ongoing effort. If you have questions about our work or about accommodations, please contact careers@manifold.ai.

Benefits:
Unlimited PTO (with encouragement to actually use it)
3% 401k Contribution
Top-tier health, dental, and vision insurance
12 weeks of new parent leave (at 100% salary)
Charitable Donation Match
Internet Reimbursement

Tags: AWS Azure DevOps Docker Engineering GCP Kubernetes Machine Learning MLOps Nonprofit Pipelines Python Research Robotics Terraform

Perks/benefits: 401(k) matching Career development Health care Unlimited paid time off

Region: North America
Countries: Canada United States
Job stats:  9  1  0

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