Software Engineer MLX

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Easy Apply
Hiring Remotely in USA
Remote
Artificial Intelligence • Cloud • Machine Learning • Software
The Role

About Us: 

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI. 


About the Role: 

WebAI is hiring a Software Engineer MLX to optimize machine learning models for iOS deployment. You’ll use your expertise in C++, Python, hardware-aware programming, and Apple’s MLX and Metal frameworks to accelerate performance on mobile devices. If you’re passionate about building efficient, on-device AI solutions, we want to hear from you. 


Key Responsibilities: 

  • Optimize and deploy machine learning models on iOS devices using MLX and Metal frameworks. 
  • Develop high-performance, hardware-aware code in C++ and/or Python, focusing on vectorization, multi-threading, and system optimization. 
  • Build and optimize custom Metal kernels and computational graphs for mobile acceleration. 
  • Deploy and fine-tune PyTorch models for efficient, on-device inference. 
  • Apply quantization, tensor fusion, and batching strategies to maximize model performance and minimize size. 
  • Collaborate with AI researchers and mobile teams to deliver scalable, production-ready solutions.
  • Monitor and improve model performance across the iOS lifecycle to ensure efficiency and reliability. 

Required Skills & Qualifications: 

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Information Science, 
    • Electrical/Electronics/Telecommunications Engineering, Information Technology, or a related field — or equivalent work experience. 
  • Strong background in computer architecture and hardware-aware programming. 
  • Proficiency in C++ and/or Python, with a focus on optimizing computational workloads. 
  • Experience with SIMD vectorization, multi-threading, and low-level performance tuning.
  • Hands-on experience in Machine Learning, Deep Learning, and/or Data Science. 

Preferred Qualifications: 

  • Familiarity with the iOS application lifecycle and memory optimization. 
  • Experience deploying PyTorch models on mobile devices, specifically iOS. 
  • Proficiency with Apple’s MLX framework for machine learning acceleration. 
  • Deep knowledge of Metal and Metal Performance Shaders (MPS). 
  • Experience developing custom Metal kernels for specialized operations. 
  • Strong understanding of computational graph optimization, batching strategies, device training, and fine-tuning. 
  • Knowledge of quantization techniques, tensor operation fusion, and graph reconstruction to optimize model performance and size. 

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: 

  • Truth - Emphasizing transparency and honesty in every interaction and decision. 
  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. 
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. 
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits: 

  • Competitive salary and performance-based incentives. 
  • Comprehensive health, dental, and vision benefits package. 
  • 401k Match 
  • $200/mos Health and Wellness Stipend 
  • $400/year Continuing Education Credit 
  • Free parking, for in-office employees 
  • Unlimited Approved PTO 
  • Parental, Bereavement Leave 
  • Supplemental Life Insurance 

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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The Company
HQ: Austin, Texas
49 Employees
Year Founded: 2020

What We Do

webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices. Our goal is to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).

By approaching AI execution in a heterogeneous manner, we aim to create scalable AI products that are industry leading. Our platform is dedicated to enhancing the performance and accessibility of AI technologies, making them more efficient and user-friendly for both businesses and individuals.

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