Safari AI is hiring a Software Engineer, ML Ops to play a key role in deploying new locations and features for our clients. You’ll work closely with our engineering team, leveraging cutting-edge AI technology to solve real-world problems within a dynamic and innovative environment.
What You'll Do
- Implement computer vision solutions in areas like object detection, tracking, scene segmentation, and depth estimation.
- Build solutions robust to camera motion, occlusions, and poorly exposed scenes.
- Collaborate with a growing team of infrastructure and machine learning engineers.
- Define labeling ontologies and create training, validation, and testing sets across diverse conditions.
- Onboard customers with machine learning solutions and calibrate models for satisfactory accuracy.
What We're Looking For
- Excellent written and verbal communication skills.
- Self-motivated, critical thinking with enthusiasm for solving real-world problems.
- Python expertise training, evaluating, and deploying models with PyTorch or Tensorflow.
- Strong foundation in traditional computer vision, mathematics, and geometry.
- Deep insight into modern computer vision techniques like object detection and multi-object tracking.
- Familiarity with frameworks such as OpenCV, GStreamer, FFmpeg, Deepstream, and TensorRT.
- Experience with Linux environments and targeting embedded deployment.
- Experience with public cloud platforms (GCP, Azure, or AWS).
- Ability to design, implement, present, and operate independently.
- Good business insight and exceptional analytical skills.
Nice to Have
- Experience with data streaming frameworks like Flink, Spark, or Beam.
- Experience in a startup environment.
- Experience with embedded platforms such as NVIDIA Jetson or Intel Movidus.
- Fluency in Java or Typescript.
Technical Stack
- Languages: Python, Java, Typescript
- ML Frameworks: PyTorch, Tensorflow
- Vision & Media: OpenCV, GStreamer, FFmpeg, Deepstream, TensorRT
- Platforms: Linux, GCP, Azure, AWS
- Streaming: Flink, Spark, Beam
- Embedded: NVIDIA Jetson, Intel Movidus
Team & Environment
You’ll join a growing team of infrastructure and machine learning engineers of various levels. Safari AI is headquartered in Miami, with the Engineering team primarily based in Vancouver alongside some distributed members.
Benefits & Compensation
- 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.
Work Mode
This is a hybrid role based in either Vancouver or Miami.
Safari AI is an equal opportunity employer.
