Software Engineer, ML Ops

Voiceflow; Vancouver; On-site; CAD 80,000 - 120,000; Full time

Job summary

A pioneering AI startup is seeking a Computer Vision specialist to join their dynamic team in Vancouver. In this role, you will implement innovative computer vision solutions, work directly with infrastructure and machine learning engineers, and collaborate to deploy new features for clients. Ideal candidates possess strong Python skills, experience with deep learning frameworks, and a passion for solving real-world problems. Competitive salary, equity, and an exceptional work environment are offered.

Benefits

Unlimited vacation days

Generous health benefits

Competitive salary

Qualifications

• Excellent written and verbal communication skills.
• Experience with Python and deep learning frameworks.
• Familiarity with computer vision techniques.

Responsibilities

• Implement computer vision solutions for object detection and tracking.
• Work with engineers to deploy new features for clients.
• Onboard customers with machine learning solutions.

Skills

Python

Object detection

Critical thinking

Deep learning frameworks

Communication skills

Tools

OpenCV

TensorFlow

GStreamer

Job description

About Safari AI

Safari AI's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, Live Venues, QSR's, Retail and beyond. The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, Calgary Flames, and more. This year, Safari AI's platform will begin to use this data and to suggest to clients how they can optimize their operations to generate higher throughput, more revenue and optimize staff deployment.

Leadership & Culture

Safari AI is co-founded by Ali Vahabzadeh & Kaiwen Yuan, two leaders who have meaningful exits under their belts and have managed large, high-performing Go To Market and Engineering teams. The company is headquartered in Miami with the Engineering team based in Vancouver with some distributed team members.

About You And How You Succeed At Safari AI

You're excited about building a product and creating a market that hasn't been done before. You have a strong bias toward action when you are stuck but are not afraid to ask for help when you need to. You're a high agency contributor, eager to test new ways of doing things and take advantage of the freedom and culture an early stage startup can afford you. You want to lead the company's engagement with category leaders in a variety of industries, solving some of their biggest challenges.

About the Role

We are seeking computer vision full time role to join our team. This role will work closely with our engineering team on deploying new locations and features for our clients. This role will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team.

What you will be working on Weekly Basis

• Implement computer vision solutions in the areas of object detection and tracking, scene segmentation, scene understanding, and depth estimation
• Build solutions that are robust to camera motion, occlusions, poorly exposed scenes
• Work with a growing team of infrastructure and machine learning engineers of various levels
• Define labeling ontologies and create training, validation, and testing sets across customer sites and weather conditions
• Onboard customers with machine learning solutions and calibrate models for satisfactory accuracy

Requirement for the Role

• Excellent written and verbal communication skills
• Self-motivated, critical thinking and enthusiastic in solving real-world problems
• Python experience/expertise training, evaluating, and deploying models with one of more common deep learning framework such as PyTorch or Tensorflow
• Sufficient familiarity with traditional computer vision and machine learning techniques with good mathematics foundations and geometry knowledge
• Deep insight and experience on modern computer vision and machine learning techniques (e.g., object detection, multi-object tracking)
• Familiar with popular computer vision solution related frameworks, such as opencv, gstreamer, ffmpeg, deepstream, tensorrt, etc..
• Experience with Linux environment and targeting embedded deployment
• Experience with public cloud such as GCP, Azure or AWS
• Ability to design, implement, present, and operate independently without oversight
• Good business insight and exceptional analytical skills

Nice to Have's

• Experiences with data streaming frameworks, such as flink, spark, beam, etc.
• Experiences in startup environment
• Experiences with embedded platforms such as NVIDIA Jetson, Intel Movidus, etc.
• Fluent in Java or Typescript

We encourage you send the code or project that you are most proud of to us.

What Safari AI Offers

• An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions
• Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team
• Competitive salary and meaningful equity for early team leaders
• Unlimited vacation days
• Generous health benefits (Health, Vision, Dental)
• 401k contributions enabled
• Brand new, top of the line hardware and whatever else you need to help you win

Why bet on Computer Vision and Safari AI?

1. Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
2. Already the market leader in enterprise CV by working with industry leaders with billions in revenue
3. Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
4. Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
5. Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
6. Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale