Machine Learning Engineer

ZeroAvia is a leader in zero-emission aviation, flying the world's largest hydrogen-electric aircraft since September 2020. Its focus is the design and commercialization of hydrogen-powered aviation solutions to address a variety of markets, initially targeting short-haul, sub-regional commercial flights up to 500 miles. To date, ZeroAvia has secured the UK CAA and FAA experimental permit to fly for its 6 seat aircraft powered by hydrogen-electric powertrain, passed significant flight tests, and is on track for commercial deliveries by 2023. Its achievements to date were rewarded by the UK prime minister by inviting ZeroAvia as a member of the UK Jet Zero Council.

ZeroAvia’s powertrain development focuses on integrating hydrogen storage tanks, fuel cell systems, and electric motors, delivering a solution that will be not only without carbon emissions but also cheaper to operate. Commercializing the solution requires the establishment of a new clean aviation ecosystem, encompassing hydrogen production from renewable energy sources and tackling public perception of safety

Responsibilities:
- Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
- Design, build, train and test ML models
- Write production-level code to convert your ML models into working pipelines and launch ML models at scale Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
- Analyze experimental and observational data, communicate findings, and promote launch decisions Participate in code reviews to ensure code quality and distribute knowledge
- Develop statistical, machine learning, or optimization models
- Managing the full lifecycle of your work, including architecture, solution design, code, deployment, delivery, and ongoing support with your team
- Participate in architecture discussions to meet the requirement to serve dozens of machine learning models
- Improve and maintain processes for deploying/managing machine learning models and data pipelines in production
- Contribute to deployment/monitoring best practices to increase the speed, reliability, and performance of our production pipelines
- Improve CI/CD pipelines and webhooks for ML model/pipeline testing, shadow/canary deployment, and ML model version approval/promotion

Requirements:
- 3+ years of experience in designing and implementing machine learning algorithms
- Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala)
- Experience working with large datasets and best in class data processing technologies for both stream and batch processing
- Familiarity with serverless architectures
- Deep understanding of engineering processes like code review and testing
- Solid Machine Learning background and deep understanding of the certain domain of machine learning techniques
- Strong software development skills with a proven record of shipping changes to production that improved product metrics with machine learning technologies
- Able to have a deep end-to-end understanding of sophisticated ranking systems and can proactively detect problems and make improvement suggestions
- Good written and spoken communication skills
- Can work across functional teams

Diversity and Inclusion

ZeroAvia is an equal opportunity employer and as a young company in the aviation industry, we value diversity and need people of different backgrounds that bring a plethora of skills, perspectives, and mindsets to the table that can spur originality, imagination, and creativity. We do not discriminate based on race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Description

ZeroAvia is a leader in zero-emission aviation, flying the world's largest hydrogen-electric aircraft since September 2020. Its focus is the design and commercialization of hydrogen-powered aviation solutions to address a variety of markets, initially targeting short-haul, sub-regional commercial flights up to 500 miles. To date, ZeroAvia has secured the UK CAA and FAA experimental permit to fly for its 6 seat aircraft powered by hydrogen-electric powertrain, passed significant flight tests, and is on track for commercial deliveries by 2023. Its achievements to date were rewarded by the UK prime minister by inviting ZeroAvia as a member of the UK Jet Zero Council.

ZeroAvia’s powertrain development focuses on integrating hydrogen storage tanks, fuel cell systems, and electric motors, delivering a solution that will be not only without carbon emissions but also cheaper to operate. Commercializing the solution requires the establishment of a new clean aviation ecosystem, encompassing hydrogen production from renewable energy sources and tackling public perception of safety

Responsibilities:
- Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
- Design, build, train and test ML models
- Write production-level code to convert your ML models into working pipelines and launch ML models at scale Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
- Analyze experimental and observational data, communicate findings, and promote launch decisions Participate in code reviews to ensure code quality and distribute knowledge
- Develop statistical, machine learning, or optimization models
- Managing the full lifecycle of your work, including architecture, solution design, code, deployment, delivery, and ongoing support with your team
- Participate in architecture discussions to meet the requirement to serve dozens of machine learning models
- Improve and maintain processes for deploying/managing machine learning models and data pipelines in production
- Contribute to deployment/monitoring best practices to increase the speed, reliability, and performance of our production pipelines
- Improve CI/CD pipelines and webhooks for ML model/pipeline testing, shadow/canary deployment, and ML model version approval/promotion

Requirements:
- 3+ years of experience in designing and implementing machine learning algorithms
- Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala)
- Experience working with large datasets and best in class data processing technologies for both stream and batch processing
- Familiarity with serverless architectures
- Deep understanding of engineering processes like code review and testing
- Solid Machine Learning background and deep understanding of the certain domain of machine learning techniques
- Strong software development skills with a proven record of shipping changes to production that improved product metrics with machine learning technologies
- Able to have a deep end-to-end understanding of sophisticated ranking systems and can proactively detect problems and make improvement suggestions
- Good written and spoken communication skills
- Can work across functional teams

Diversity and Inclusion

ZeroAvia is an equal opportunity employer and as a young company in the aviation industry, we value diversity and need people of different backgrounds that bring a plethora of skills, perspectives, and mindsets to the table that can spur originality, imagination, and creativity. We do not discriminate based on race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Responsibilities

Requirements

Offer

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