Machine Learning Engineer - MarineSitu

Are you passionate about marine life? Do you have engineering experience? If so, MarineSitu in Seattle, WA is searching for a dedicated full-time Machine Learning Engineer to join our dynamic team in creating underwater monitoring technology to help change the world!

Our marine research organization knows how critical our staff is to our success. We provide our Marine Learning Engineers with competitive pay ranging from $100,000 to $180,000, plus stock options and bonuses based on experience. This position also receives excellent benefits, including:

• Health
• Vision
• Dental
• Life insurance
• 401k with company match
• PTO
• Flexible schedule
• Growth opportunities
• Work-from-home opportunities
• Excellent bonus structure
• Company parties

Ready to dive in and use your curiosity? We've got your back! If you're eager to soak up knowledge in this engineering position, we're ready to be your guide! Apply today to join us.

WHAT WE'RE ALL ABOUT

MarineSitu, established in 2016 as a spin-off from the University of Washington's Pacific Marine Energy Center and Applied Physics Lab, is revolutionizing underwater monitoring technology. With over 50 years of combined experience and $10 million in US government funding, our team has transformed advanced underwater research into commercially viable products. We develop cost-effective, AI-driven solutions that overcome the unique challenges of the ocean, helping to grow the Blue Economy. Join our innovative and passionate team-MarineSitu is a great place to advance your career and make a real impact on marine technology!

WHAT WE'RE LOOKING FOR IN A MACHINE LEARNING ENGINEER

• Master's degree or equivalent work experience in computer science, data science, or a related field
• Comfortability working independently and in a leadership role where position has a significant say on product design and implementation
• 5+ years developing and implementing machine learning models for optical or sufficiently similar data
• Experience with Linux
• 3+ years of experience in Python
• 1+ years of experience using PyTorch
• 1+ years working with either GCP, AWS, or Azure
• Experience with Docker
• Experience working with Nvidia hardware
• Ability to travel for occasional fieldwork or conference attendance

The following qualifications are preferred:

• PhD in computer science, data science, or artificial intelligence
• Experience in leading a development team
• 3+ years of cloud development experience, preferably using GCP
• Experience in high-performance edge computing, especially using Nvidia computers such as Jetson Orin units
• Experience in research and development
• Experience with active or passive acoustic data
• Working with multi-modal models
• Working with graphical neural networks
• Experience or interest in working on projects in the marine domain
• Fluency in Spanish
• Experience working with Washington tribal communities

DAY-TO-DAY AS A MACHINE LEARNING ENGINEER

This full-time engineering role works a flexible schedule from 9 am- 5 pm, Monday through Friday.

As a Machine Learning Engineer at our underwater monitoring technology company, your day begins with reviewing the latest advancements in optical machine learning detection and tracking algorithms. You dive into testing and implementing cutting-edge model frameworks, always looking for the perfect solution to tackle unique marine data challenges. Throughout the day, you iterate on novel models, refining them to handle the complexities of optical and acoustic data from underwater environments. Turning your experimental code into scalable, production-ready solutions is a key focus, ensuring our technology can meet real-world demands efficiently. Every day, you're shaping the future of marine monitoring!

If this sounds like the right engineering job for you, don't wait - apply today to join our team. We make it incredibly easy with our initial 3-minute application. We look forward to hearing from you!

Must have the ability to pass a background check.