Machine Learning Engineer.
- java
- permanent
- Texas
Machine Learning Engineer
Location: US/Canada (Full remote with occasional office visits to Dallas, Texas)
Salary: $150,000 - $200,000 Equity
Responsibilities:
- Develop, implement, and deploy machine learning models using recurrent neural nets, convolutional neural nets, and other deep learning architectures.
- Collaborate with cross-functional teams to deliver AI-driven solutions.
- Optimize and fine-tune existing machine learning algorithms for improved performance.
- Work with cloud platforms, primarily AWS and GCP, to design scalable ML pipelines.
- Utilize Python, PyTorch, and other common frameworks for model development.
- Contribute to self-driving technology projects.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
- 3-5 years of proven experience as a Machine Learning Engineer.
- Strong expertise in TensorFlow, CNNs, RNNs, and deep learning techniques.
- Proficiency in Python, data manipulation, and analysis libraries.
- Familiarity with cloud platforms, especially AWS and GCP.
- Exposure to self-driving technologies is a plus.
- Excellent problem-solving and communication skills.
Perks and Benefits:
- Competitive salary and stock options.
- Full remote work flexibility with occasional office visits.
- Cutting-edge AI projects and a talented team to work with.
- Access to the latest tools and technologies.
- Health insurance and other benefits.
