Join Specter as a perception AI engineer to turn sensor data into actionable insights for customers.
Posted by employer 1 year ago
First seen on Joblaze 54 minutes ago
Last verified on the company career page 54 minutes ago
What you'll build
- Implementing and deploying deep-learning based models
- Building and scaling a data-collection platform
- Driving the design behind a multimodal software user interface
Must have
- 5+ years of experience training deep-learning based computer vision models
- Experience fine-tuning vision-language models
- Strong experience in C++/Rust development
- Strong knowledge of CUDA fundamentals
- Experience with image/video processing
Nice to have
- Familiarity with Rust
AI in the day-to-day
Our systems can automatically detect and reason about any physical activity captured on camera.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the ML Research Engineer at Specter focuses on transforming sensor data into actionable insights by implementing and deploying advanced deep-learning models within a distributed perception system. Key skills include expertise in computer vision frameworks like PyTorch and ONNX, as well as experience with multimodal models and optimizing runtimes. This position is ideal for seasoned professionals with a strong background in embedded systems and a solid understanding of image processing techniques. Specter's team, composed of experts from notable tech and defense backgrounds, emphasizes innovation in physical AI.
Joblaze insights
Quick facts
- Is the ML Research Engineer role remote?
- No — this is an on-site role in San Francisco, United States.
- How much experience is required?
- At least 5 years of relevant experience for this ML Research Engineer role.
- Where is the role based?
- Specter is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, CUDA, Linux, ONNX, PyTorch, Rust.
- What seniority level is this role?
- Specter targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this ML Research Engineer role at Specter.
From the original posting
The Role
Specter is hiring a perception AI engineer responsible for turning sensor data pipelines into actionable insights for our customers.
Responsibilities:
Implementing and deploying a variety of deep-learning based vision, vision-language, and large language models to our world-class distributed perception system
Building and scaling a production-grade data-collection, labelling, and model re-training platform
Driving the design behind a multimodal software user interface
Qualifications:
5+ years of experience training, implementing, and deploying deep-learning based computer vision models in tasks such as object detection, semantic segmentation, object tracking, etc. (both single and multi-frame) in frameworks such as PyTorch, TensorRT, and ONNX
Experience fine-tuning, implementing, and deploying vision-language models and large language models in frameworks such as PyTorch, TensorRT-LLM, and ONNX
Experience optimizing model runtimes utilizing techniques such as quantization, pruning, low-rank adaptation, etc. where appropriate
Experience building production-grade RAG pipelines, and scaling vector databases in production
Strong experience in C++/Rust development in embedded systems and knowledge of Linux fundamentals
Strong knowledge of CUDA fundamentals
Experience with image/video processing, filtering, and enhancement. Knowledge of various video codecs desirable.
Experience with variety of sensor types such as EO and IR cameras
Familiarity with Rust (or ability to come up the curve quickly!)
Standard company text repeated across Specter's postings is omitted here.