Sr. AI Engineer

at  Evona

USD150000

Job Title: Senior AI Engineer
Location: San Francisco, CA, USA
Posted on: Wednesday, March 6, 2024
About the Company: We are an edge computing startup dedicated to providing computing infrastructure to remote areas and locations with limited connectivity and cloud resources. Our focus is on enabling real-time analytics and AI at the edge to bridge the digital divide.
Job Description: We are seeking Senior AI Engineers to join our dynamic team. Ideal candidates will have a passion for cutting-edge AI for robotics and multimodal perception, with hands-on expertise in various domains including real-time computer vision, robotics, generative AI, transformers, statistical machine learning, natural language processing, control/navigation, and reinforcement learning.

Key Responsibilities:

• Translate business requirements into AI/ML model requirements, particularly related to multi-modal perception and robotic applications.
• Prepare data for training and evaluating AI/ML/DL models.
• Build AI/ML/DL models using state-of-the-art algorithms, especially transformers, and deploy them in production.
• Test, evaluate, and benchmark the quality of AI/ML/DL models.
• Deploy containerized applications on cloud or on-premises environments.
• Establish continuous learning pipelines for models with online learning or transfer learning.
• Collaborate with customers and internal teams to refine model quality.

Required Qualifications:

• MS degree (Ph.D. preferred) in computer science, machine learning, robotics, physics, computational science/engineering, or related technical field.
• 8+ years of software development experience with Python, Java, and/or C/C++ programming skills.
• 5+ years of experience in machine learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT.
• Hands-on expertise in traditional statistical machine learning techniques, deep learning, and natural language processing modeling.
• Experience with containers, numeric libraries, and modular software design.
• Background with container technologies such as Docker and Kubernetes.

Preferred Experience and Skills:

• Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems.
• Proven experience in producing computationally efficient software to meet real-time requirements.
• Experience with solving and using machine learning for large-scale problems.
• Strong analytical, time-management, and organizational skills.
• Excellent written and oral communication skills.
• Ability to lead and mentor AI engineers and software developers.
• Strong teamwork and interpersonal skills.

Additional Information:

• We value Diversity, Equity, Inclusion, and Belonging (DEIB) and offer a supportive workplace culture.
• The starting base salary range for this role varies based on location, experience, skills, and qualifications. Equity and subsidized benefits are also offered.
• Junior and mid-level candidates are welcome to apply but must be located in the SF Bay Area or Bellevue, WA area.

If you’re passionate about AI and robotics, and eager to tackle thrilling challenges with real-world impact, our team might just be the perfect fit for you. Apply now and join us in revolutionizing edge computing technology!
Job Title: Senior AI Engineer
Location: San Francisco, CA, USA
Posted on: Wednesday, March 6, 2024
About the Company: We are an edge computing startup dedicated to providing computing infrastructure to remote areas and locations with limited connectivity and cloud resources. Our focus is on enabling real-time analytics and AI at the edge to bridge the digital divide.
Job Description: We are seeking Senior AI Engineers to join our dynamic team. Ideal candidates will have a passion for cutting-edge AI for robotics and multimodal perception, with hands-on expertise in various domains including real-time computer vision, robotics, generative AI, transformers, statistical machine learning, natural language processing, control/navigation, and reinforcement learning.

Key Responsibilities:

• Translate business requirements into AI/ML model requirements, particularly related to multi-modal perception and robotic applications.
• Prepare data for training and evaluating AI/ML/DL models.
• Build AI/ML/DL models using state-of-the-art algorithms, especially transformers, and deploy them in production.
• Test, evaluate, and benchmark the quality of AI/ML/DL models.
• Deploy containerized applications on cloud or on-premises environments.
• Establish continuous learning pipelines for models with online learning or transfer learning.
• Collaborate with customers and internal teams to refine model quality.

Required Qualifications:

• MS degree (Ph.D. preferred) in computer science, machine learning, robotics, physics, computational science/engineering, or related technical field.
• 8+ years of software development experience with Python, Java, and/or C/C++ programming skills.
• 5+ years of experience in machine learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT.
• Hands-on expertise in traditional statistical machine learning techniques, deep learning, and natural language processing modeling.
• Experience with containers, numeric libraries, and modular software design.
• Background with container technologies such as Docker and Kubernetes.

Preferred Experience and Skills:

• Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems.
• Proven experience in producing computationally efficient software to meet real-time requirements.
• Experience with solving and using machine learning for large-scale problems.
• Strong analytical, time-management, and organizational skills.
• Excellent written and oral communication skills.
• Ability to lead and mentor AI engineers and software developers.
• Strong teamwork and interpersonal skills.

Additional Information:

• We value Diversity, Equity, Inclusion, and Belonging (DEIB) and offer a supportive workplace culture.
• The starting base salary range for this role varies based on location, experience, skills, and qualifications. Equity and subsidized benefits are also offered.
• Junior and mid-level candidates are welcome to apply but must be located in the SF Bay Area or Bellevue, WA area.

If you’re passionate about AI and robotics, and eager to tackle thrilling challenges with real-world impact, our team might just be the perfect fit for you. Apply now and join us in revolutionizing edge computing technology

Key Responsibilities:

• Translate business requirements into AI/ML model requirements, particularly related to multi-modal perception and robotic applications.
• Prepare data for training and evaluating AI/ML/DL models.
• Build AI/ML/DL models using state-of-the-art algorithms, especially transformers, and deploy them in production.
• Test, evaluate, and benchmark the quality of AI/ML/DL models.
• Deploy containerized applications on cloud or on-premises environments.
• Establish continuous learning pipelines for models with online learning or transfer learning.
• Collaborate with customers and internal teams to refine model quality

Key Responsibilities:

• Translate business requirements into AI/ML model requirements, particularly related to multi-modal perception and robotic applications.
• Prepare data for training and evaluating AI/ML/DL models.
• Build AI/ML/DL models using state-of-the-art algorithms, especially transformers, and deploy them in production.
• Test, evaluate, and benchmark the quality of AI/ML/DL models.
• Deploy containerized applications on cloud or on-premises environments.
• Establish continuous learning pipelines for models with online learning or transfer learning.
• Collaborate with customers and internal teams to refine model quality