Machine Learning Operations Engineer, Merlin Labs

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Excel

Tensorflow

Terraform

Jenkins

Ansible

Azure

Scikit-Learn

PyTorch

DevOps

Mid and Senior level

Boston

More information about location

Aviation tech for fully autonomous flight

Be an early applicant

Aviation tech for fully autonomous flight

101-200 employees

B2BArtificial IntelligenceFlightsSaaSAutomationAerospace

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Excel

Tensorflow

Terraform

Jenkins

Ansible

Azure

Scikit-Learn

PyTorch

DevOps

Mid and Senior level

Boston

More information about location

101-200 employees

B2BArtificial IntelligenceFlightsSaaSAutomationAerospace

Company mission

To build the AI-powered operating system of record that allows aircraft, large and small, to fly autonomously.

Job

Company

Role

Who you are

You are a passionate engineer with expertise in DevOps and MLOps
You thrive in dynamic environments and enjoy working at the intersection of automation and machine learning
Your technical skills in cloud platforms, containerization, and automation tools are complemented by your ability to collaborate with cross-functional teams
You excel at problem-solving, have strong scripting skills, and are familiar with modern DevOps practices
Your commitment to security, scalability, and reliability ensures efficient and secure systems
If you’re excited about innovative ML projects, you’re the perfect fit for our team
3+ years of experience in DevOps, MLOps, or a related role
Bachelor’s degree in Computer Science, Engineering, or a related field
Strong knowledge of cloud platforms (AWS, Azure, GCP) and cloud-native services
Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools
Proficiency in containerization technologies (Docker, Kubernetes)
Familiarity with infrastructure as code (IaC) tools like Terraform, Ansible, or CloudFormation
Database Architecture or Management Experience
Solid understanding of software development lifecycle (SDLC) and Agile methodologies
Strong scripting skills in Python, Bash, or similar languages
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills

Desirable

Experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn)
Experience with MLOps platforms such as Weights and Biases or MLflow
Familiarity with security best practices in DevOps and MLOps
Experience working on software development processes for a regulated environment (aerospace, medical, automotive, etc.)
Experience with building scalable machine learning model training infrastructure in the cloud

What the job involves

Design, build, and maintain scalable and reliable infrastructure for machine learning, data management and software applications
Develop, implement and maintain CI/CD pipelines to automate the deployment and testing of ML models
Monitor and manage the performance, availability, and security of ML models and applications in production
Implement and manage containerization technologies (Docker, Kubernetes) to ensure efficient resource utilization
Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar
Manage and maintain ML team’s database
Ensure best practices for version control, testing, and documentation are followed
Stay up-to-date with the latest industry trends and technologies in DevOps and MLOps

Our take

Companies like Xwing and Reliable Robotics are retrofitting aircrafts for full autonomy, however, Merlin Labs is taking a different route. Rather than building its own aircradt, it's developing the Merlin Pilot - an autonomous flight system designed to integrate into existing fleets. And this systems-first approach is gaining rel traction across commercial and defense sectors.

Instead of developing an autonomous vehicle, the company has designed configurable software that can be fitted into any plane to turn it into one. It’s already received certification from the FAA in the US, and the CAA in New Zealand; now, the goal is to get it fitted into large commercial aircraft to help reduce crew sizes. Ultimately, Merlin Labs is hoping its software will be used to fly smaller aircraft completely autonomously.

Providing a way for non-autonomous aircraft to be repurposed is a neat and attractive solution: costly aircraft needn’t be scrapped, human co-pilots don’t require retraining, and there’s a wealth of existing commercial and private applications for the software. So it’s an astute way of manoeuvring ahead of well-funded competition. Investors are paying attention, as are top-tier clients: Merlin has partnered with the likes of Ameriflight, the U.S. Air Force, and Dynamic Aviation, and pulled in millions of dollars of funding. It will need it: the competition is fierce.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

55% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 8 rounds)

Apr 2023

$1m

GRANT

Jul 2022

$105m

SERIES B

Total funding: $170.8m

Company HQ

Leather District, Boston, MA

Leadership

Matt George

(CEO)

Served in an OPC role at The White House, then on the Senior Advisory Board at Boston 2024. Went on to found and lead tech company Bridj.

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