Senior Machine Learning Engineer

Plano, TX | Hybrid  

Toyota Connected’s Labs team is looking for a Senior Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results driven, interested in how to apply advanced Machine Learning & Deep Learning techniques, would love to work with text, image and audio data, are deeply technical, highly innovative and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you. 

 

Responsibilities: 

• Use machine learning & deep learning techniques to design & develop the next-generation in-vehicle Voice Assistant, and perform R&D to drive discovery of new generation products 

• Establish scalable, efficient, automated processes for large scale data analysis, MLOps, model development, model validation and model implementation 

• Design & Implement model architectures destined for both the edge and the cloud, optimizing for OTA updates and performance on an embedded device 

• Leverage new-age multimodal (text + image) LLM capabilities to support novel product features  

• Drive adoption of best practices across organizations 

• Write maintainable, extensible, tested code, while complying with coding standards 

• Work with Product Owners to define the KPIs for machine learning projects 

• Mentor, guide, and train more junior team members 

• Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods 

• Prepare and present findings to both technical and non-technical audiences 

• Work within the constraints of time, budget, and resources capacities to align with Toyota’s global vision 

• Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs  

  

Qualifications:  

• 5+ years of hands-on experience in Machine Learning in a corporate environment  

• Experience programming in Python  

• Production Experience with Deep Learning using Tensorflow, PyTorch, or JAX 

• Experience with NLP  

• Experience operationalizing LLMs in production 

• Familiar with algorithm design and complexity analysis  

• Experience in designing and implementing Machine Learning pipelines in production environments 

• Strong decision-making skills with the ability to analyze data, assess risks, and implement effective solutions in a fast-paced environment  

• Problem-solving skills with the ability to identify challenges, develop creative solutions, and implement effective strategies  

• Proven ability to learn and apply new technologies, programming practices, patterns, and methods   

• Experience collaborating effectively with cross-functional teams, including developers, designers, and product owners  

• Experience taking ownership of assigned projects and tasks, proactively driving them to completion while ensuring accountability fo