Algorithm Developer / Machine Learning Engineer
Location & Compensation
- Location: Redmond, WA
- Work Arrangement: Hybrid, approximately 3 days onsite per week as needed
- Pay Rate: $91/hour
- Experience Level: Entry to Mid-Level
- Years of Experience: 1-6 years
- Education: Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field required/preferred; Master’s degree preferred
Plain-Language Summary
This role sits on the Sensors & Systems Team, which develops prototypes using sensor data, machine learning, and hardware platforms. The team works on collecting data from sensors, training machine learning models, optimizing performance, and deploying those models onto hardware devices.
This is an applied machine learning role that combines:
- Machine Learning
- Deep Learning
- Algorithm Development
- Python Development
- Hardware Deployment
- Embedded Systems
- Sensor Data Processing
- Robotics Prototyping
The ideal candidate has hands-on experience developing ML algorithms, training deep learning models, and deploying solutions onto hardware platforms.
What They’ll Be Doing
Core Responsibilities
- Train and optimize machine learning and hybrid AI pipelines for hardware deployment.
- Develop advanced deep learning algorithms and techniques.
- Design, implement, and test machine learning models.
- Build statistical models to analyze workload and system performance.
- Convert business and customer requirements into algorithm designs.
- Troubleshoot software and algorithm-related issues.
- Improve software and model performance.
- Deploy machine learning algorithms to hardware platforms.
- Work with sensor-generated data to support prototype development.
- Collaborate with teams developing sensors, wired systems, and robotics solutions.
Must-Have Qualifications
Technical Skills
- Python
- Machine Learning Algorithms
- Deep Learning experience
- PyTorch and/or TensorFlow
- Algorithm development experience
- Experience training, testing, and optimizing ML models
- Understanding of AI-assisted development tools such as:
- ChatGPT
- Claude
- Ability to work independently and manage projects autonomously
Education
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field
- Master’s degree preferred
Preferred Qualifications
Embedded Systems Experience
- Raspberry Pi
- NVIDIA Jetson
- FPGA platforms
Hardware & Deployment Experience
- Deploying machine learning models to edge devices
- Hardware optimization
- Firmware deployment
Additional Technical Skills
- C++
- Object-Oriented Programming
- ARM CPU/NPU architecture
- Firmware understanding
- Performance optimization
#LI-CN1
#INDPRO