Computer vision data and science engineer at AdaViv | Torre
Computer vision data and science engineer
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AdaViv

Computer vision data and science engineer

AdaViv
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Full-time

Legal agreement: Contractor

Currency exchange and payroll taxes to be paid by:

Candidate

Base compensation
USD2.7k - 3k/month

+ Equity

+ Opportunity to grow

+ 100% remote

Non-negotiable
location_on
Remote (specific timezone)
public
GMT-08:00 to GMT-02:00
Posted almost 4 years ago

Responsibilities

🚀 You will be working with our Technical lead, Computer Vision Engineer, and Project Managers to build onto our Plant Computer Vision -to- Insights pipeline. You’ll have opportunities to work on fine-tuning CNN models, quantifying and tracking model results, and building predictive algorithms and data visualizations for crop performance. You will wear many hats and be exposed to many dimensions of building a deep-tech product. You will also gain unique experience working on a fast-moving startup project and learn the trade tricks with the potential to play a larger role as we grow. There will be an opportunity to grow a longer-term role. 🚀 Responsibilities may include: -Data exploration and integration from different sensor data streams focused on multiple types of image data; explorative data visualization. -Build, parameterize, and hyper tune CNN models for plant disease detection -Improve crop forecasting models. -Test and iterate model architectures and parameters to help accelerate model improvements. -Experimenting with model architecture tweaks to improve model performance on outside data. -Present your work internally and share key results with the team regularly. -Cloud automation and deployment of data pre-processing, modeling, and output 🚀 Requirements: - The candidate must have hands-on experience in computer vision-specific deep learning using TensorFlow, Python, and CNN with significant contributions in research or industrial settings. -You should be able to understand and produce long and complex texts and speeches with detailed descriptions in English. -This role is open to graduate student internships, Co-ops, and Full-Time positions. -You need to hold or pursue a degree in Computer Science, Statistics/Data Science, Applied Mathematics, Machine Learning, Computer Vision, Robotics, or a related field. 🚀 This is a job opening from AdaViv. They are using Agile Recruitment for this process. You can find the steps you will take below: Step 1: You will answer 2 quick screening questions [4 minutes]. Step 2: You will do a Torre Testing & Certification session to validate your skills [60mins]. (We will send you the link to this session via Torre Messenger as soon as the recruiter confirms that you fulfill the requirements for this job opening. This usually happens in less than 24 hours). Step 3: You'll be interviewed by: - Ian Seiferling - CEO, Co-Funder [30 minutes]. - Moe Vazifeh - CTO [20 minutes]. - Moe Vazifeh (live coding) - [30 minutes]. Step 4: Job offer [15 minutes].
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