Software Engineer (ML)
Full Time
Who we are
We’re redefining how humans interact with massive amounts of imagery & video.
What that means
We’re building a near future where people can get information out of imagery at scale without building their own ML models. Collaborating with users around the world, our AI research and products change how people monitor and protect our oceans.
Our core technology: Find Anything & Video Search. We make it possible to find anything in imagery/video, without having seen it in training. Advancing the field of computer vision, pioneered in-house at OnDeck and published at one of the world’s most distinguished AI conferences (NeurIPS).
Backed by National Geographic, the Environmental Defense Fund, Canada’s Ocean Supercluster, and many more, we stand at the forefront of AI for ocean conservation & protection. Our software has been deployed by governments, Indigenous nations, scientists, NGOs, and industry around the world.
What you’ll be doing
As an early engineer on our team, you will contribute to our core technology’s cloud software and machine learning infrastructure. There are a huge variety of components that you’ll contribute to, from front-end, to data solutions, to deployment and MLOps. You will be designing and building services for each of these components. You will also be building out the customer-facing APIs for our products. We provide a lot of autonomy, we prioritize our engineers, and we keep you involved in the rapid evolution of the business, and in turn we expect you to effectively plan your development, communicate frequently and document as you go.
As a team working on large systems that are constantly iterating and scaling up, we also expect our engineers to build reusable staging and testing CI/CD pipelines and follow industry standard design principles for understandable, maintainable codebases. While things may be scrappy and we may not have 100% coverage as a startup, we’re in the business of building high quality, long lasting software. In summary you will :
Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Provide technical leadership across the entire company’s systems.
Ensure clear, performant systems development alongside product team/exec team & customers.
Communicate with leadership about project priorities, timelines, and deliverables.
Qualifications
Previous software engineering work experience
Proficiency with at least one of the following languages: Python, JavaScript, TypeScript, Java, C, C++
Experience working with several or more of the following:
Machine learning and computer vision
Full-stack development
Cloud development
Unix/Linux environments
Distributed and parallel systems
Networking
Databases and data storage solutions
Experience designing cloud software architecture for MLOps and SaaS products
Experience with infrastructure as code and ops
Knowledge of containerization and orchestration for large-scale deployment (Docker, Kubernetes)
Experience with AWS or equivalent (GCP, Azure)
Strong technical communication skills in English, both written and verbal
Enthusiasm for building software that revolutionizes ocean tech and research
Preferred qualifications:
2+ years of full-time, non-internship work experience, especially in high-impact roles in smaller organizations
Experience designing and implementing large scale consumer-facing APIs and web platforms
Experience developing visualization tools and dashboards
Experience with frontend frameworks (React, Angular, Next.js)
Experience with PyTorch, TensorFlow, and other modern machine learning frameworks/tools
Proficiency in setting up and using CI/CD tools (e.g., GitHub Actions, AWS CodePipeline, Google CloudBuild, Jenkins)
Ability to develop accessible technologies
Willingness and aptitude to learn additional technologies and frameworks as needed
Benefits
OnDeck rewards extraordinary work with extraordinary benefits. Get unparalleled career development and exposure with ownership of critical projects. We balance our commitment to excellence with VIP events, hybrid work, travel, and days on the water. We encourage flexible vacation and schedules.
Specific benefits to help everyone work at their best include:
Health benefits: Health spending account that covers any medical expense in your life.
Wellness benefits: Dedicated wellness spending account to cover any additional mental or physical wellness expenses.
Hybrid work, remote flexible: Want to work from a surf beach for a week? Go for it.
Team lunches & happy hours, office pastries, snacks, coffees and beers.
Team sailing days + offsites to remote Pacific beaches & rainforests.
Startup events and dinners such as NeurIPS and more.
Base salary of $80,000 - $130,000
Who we are
We’re redefining how humans interact with massive amounts of imagery & video.
What that means
We’re building a near future where people can get information out of imagery at scale without building their own ML models. Collaborating with users around the world, our AI research and products change how people monitor and protect our oceans.
Our core technology: Find Anything & Video Search. We make it possible to find anything in imagery/video, without having seen it in training. Advancing the field of computer vision, pioneered in-house at OnDeck and published at one of the world’s most distinguished AI conferences (NeurIPS).
Backed by National Geographic, the Environmental Defense Fund, Canada’s Ocean Supercluster, and many more, we stand at the forefront of AI for ocean conservation & protection. Our software has been deployed by governments, Indigenous nations, scientists, NGOs, and industry around the world.
What you’ll be doing
As an early engineer on our team, you will contribute to our core technology’s cloud software and machine learning infrastructure. There are a huge variety of components that you’ll contribute to, from front-end, to data solutions, to deployment and MLOps. You will be designing and building services for each of these components. You will also be building out the customer-facing APIs for our products. We provide a lot of autonomy, we prioritize our engineers, and we keep you involved in the rapid evolution of the business, and in turn we expect you to effectively plan your development, communicate frequently and document as you go.
As a team working on large systems that are constantly iterating and scaling up, we also expect our engineers to build reusable staging and testing CI/CD pipelines and follow industry standard design principles for understandable, maintainable codebases. While things may be scrappy and we may not have 100% coverage as a startup, we’re in the business of building high quality, long lasting software. In summary you will :
Design, develop, test, deploy, maintain, and enhance large scale software solutions.
Provide technical leadership across the entire company’s systems.
Ensure clear, performant systems development alongside product team/exec team & customers.
Communicate with leadership about project priorities, timelines, and deliverables.
Qualifications
Previous software engineering work experience
Proficiency with at least one of the following languages: Python, JavaScript, TypeScript, Java, C, C++
Experience working with several or more of the following:
Machine learning and computer vision
Full-stack development
Cloud development
Unix/Linux environments
Distributed and parallel systems
Networking
Databases and data storage solutions
Experience designing cloud software architecture for MLOps and SaaS products
Experience with infrastructure as code and ops
Knowledge of containerization and orchestration for large-scale deployment (Docker, Kubernetes)
Experience with AWS or equivalent (GCP, Azure)
Strong technical communication skills in English, both written and verbal
Enthusiasm for building software that revolutionizes ocean tech and research
Preferred qualifications:
2+ years of full-time, non-internship work experience, especially in high-impact roles in smaller organizations
Experience designing and implementing large scale consumer-facing APIs and web platforms
Experience developing visualization tools and dashboards
Experience with frontend frameworks (React, Angular, Next.js)
Experience with PyTorch, TensorFlow, and other modern machine learning frameworks/tools
Proficiency in setting up and using CI/CD tools (e.g., GitHub Actions, AWS CodePipeline, Google CloudBuild, Jenkins)
Ability to develop accessible technologies
Willingness and aptitude to learn additional technologies and frameworks as needed
Benefits
OnDeck rewards extraordinary work with extraordinary benefits. Get unparalleled career development and exposure with ownership of critical projects. We balance our commitment to excellence with VIP events, hybrid work, travel, and days on the water. We encourage flexible vacation and schedules.
Specific benefits to help everyone work at their best include:
Health benefits: Health spending account that covers any medical expense in your life.
Wellness benefits: Dedicated wellness spending account to cover any additional mental or physical wellness expenses.
Hybrid work, remote flexible: Want to work from a surf beach for a week? Go for it.
Team lunches & happy hours, office pastries, snacks, coffees and beers.
Team sailing days + offsites to remote Pacific beaches & rainforests.
Startup events and dinners such as NeurIPS and more.
Base salary of $80,000 - $130,000
OnDeck is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via careers@ondeck-ai.com.