DevOps Engineer, Merlin Labs
Aviation tech for fully autonomous flight
Job no longer available
Aviation tech for fully autonomous flight
101-200 employees
Job no longer available
101-200 employees
Company mission
To build the AI-powered operating system of record that allows aircraft, large and small, to fly autonomously.
Role
Who you are
- You are a passionate engineer with expertise in DevOps and ML Ops
- You thrive in dynamic environments, working at the intersection of software development 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
- As a proactive and self-motivated individual, you effectively communicate complex technical concepts to various stakeholders
- Your commitment to security, scalability, and reliability ensures efficient and secure systems
- If you’re excited about innovative projects and driving digital transformation, you’re the perfect fit for our team
- 3+ years of experience in DevOps, ML Ops, or a related role
- 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
- Solid understanding of software development lifecycle (SDLC) and Agile methodologies
- Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack)
- 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)
- Knowledge of data pipeline tools (Apache Airflow, Luigi)
- Experience with model serving and monitoring tools (Kubeflow, MLflow, Seldon)
- Familiarity with security best practices in DevOps and ML Ops
- 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 and software applications
- Develop and implement CI/CD pipelines to automate the deployment of ML models and software applications
- Monitor and manage the performance, availability, and security of ML models and applications in production
- Collaborate with data scientists and software engineers to streamline the development and deployment process
- Implement and manage containerization technologies (Docker, Kubernetes) to ensure efficient resource utilization
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar
- Ensure best practices for version control, testing, and documentation are followed
- Troubleshoot and resolve issues related to infrastructure, deployment, and performance
- Stay up-to-date with the latest industry trends and technologies in DevOps and ML Ops
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
55% employee growth in 12 months
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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