Machine Learning Researcher
2 weeks ago
**Build the Future of Ocean Conservation**
At OnDeck, we leverage the power of artificial intelligence to ensure the sustainability of our marine resources. We firmly believe that purpose-built AI has the potential to shape a brighter future for both humanity and our precious marine ecosystems. Backed by organizations such as the Environmental Defense Fund and Ocean Wise, we stand at the forefront of AI advancements for conservation and fisheries analytics.
As an early-stage startup, we are experiencing exponential growth, positioning ourselves as key players in the conservation and AI arena. Our team of exceptionally talented engineers and experts thrive in our fast-paced, innovative environments. We are continuously pushing the boundaries of what is possible, developing cutting-edge marine conservation tools that make a tangible and lasting impact.
We are seeking individuals who are passionate about the future of AI, marine conservation, eager to tackle complex challenges, and ready to scale our operations to new heights.
**What you’ll be doing**:
You will have significant ownership over mission-critical development, propelling us towards our goal of being the first to market at scale. In your role as Machine Learning Engineer:
- You will be working at the forefront of artificial intelligence for ocean conservation, working towards the development of state-of-the-art machine learning models and advanced computer vision techniques.
- You will take ownership of the ML lifecycle, from conducting research and implementing applied models to deploying them in production environments.
- Your responsibilities will encompass researching, implementing, optimizing, and deploying these models for various tasks, including object detection, species classification, and object tracking.
**Minimum qualifications**:
- Master's or Ph.D. in Computer Science or a related field
- Previous work experience designing and implementing ML models in production or research environments
- Proficiency in programming and implementing machine learning workflows using Python (experience with C, C++, and JavaScript/TypeScript is an asset)
- Proficiency with PyTorch, TensorFlow, and other modern machine learning frameworks/tools
- Experience in computer vision, serving ML models, cloud/edge development, optimizing model performance, Unix/Linux environments, distributed and parallel systems, and data engineering
- Strong technical communication skills in English, both written and verbal
- Enthusiasm for building software that revolutionizes fisheries monitoring and research
**Job Type**: Part-time
**Salary**: $30.00-$36.00 per hour
Schedule:
- Monday to Friday
Application question(s):
- In 1-2 sentences, why do you think you're a good fit for this role?
- Any comments or notes you would like to share with the team?
Work Location: Hybrid remote in Vancouver, BC V6E 1A7
Expected start date: 2023-09-01
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