Description: We are seeking a motivated Applications Engineer to support our Skidded Solutions (liquid-filled medium voltage transformers, switchgear cabinets, inverters) in the solar and energy storage industries. The Applications Engineer will be responsible for interfacing with Customers (current and potential) in an effort to achieve revenue growth and customer acquisition objectives set forth by the Company. The Applications Engineer will review customer specifications, assist in determining and understanding client equipment needs, generate quotes, and engage in follow up conversations with the customer regarding open opportunities. The ideal candidate will possess strong technical expertise in mechanical design and practical integration, focusing on the design, optimization, and mechanical integration of structural skids with transformers and switchgear. The candidate will collaborate with cross-functional teams to develop solutions that meet customer requirements, industry standards, and regulatory compliance. This role involves working closely with sales, product management, design engineering, and customers to ensure optimal performance, reliability, and cost-effectiveness. Key Responsibilities : Technical Expertise: • Serve as a technical resource on the mechanical integration and optimization of skidded liquid-filled medium voltage transformers, switchgear cabinets and inverters for solar and energy storage applications. • Provide technical guidance on product selection, specifications, and customization to meet customer requirements. • Analyze technical problems and recommend solutions. Customer Support: • Work directly with customers to understand their needs, address inquiries, and recommend appropriate integrated design solutions. • Prepare and deliver technical presentations and proposals, including customer-facing quotes in support of the sales process. • Support sales with technical training and customer visits. Application Engineering: • Interpret customer specifications and industry standards to create accurate design requirements. • Collaborate with design engineering and manufacturing teams to ensure products are readily manufacturable and meet performance, reliability, and cost targets. • Develop and maintain technical documentation, including drawings, manuals, and data sheets. • Identify value engineering opportunities within integrated designs to optimize cost and capability in support of customer needs Project Support: • Assist in managing multiple projects, ensuring timely delivery of proposals, designs, and support. • Coordinate with supply chain and production teams to address lead times and resource planning. Industry and Standards Compliance: • Stay current with industry standards, codes, and regulations such as IEEE, IEC, UL and ASCE. • Ensure products and applications comply with environmental and safety regulations. Qualifications : • Bachelor's degree in Mechanical Engineering or a related field. • Minimum of 2-5 years of professional experience in application or mechanical design engineering, preferably with mechanical integration of electrical equipment • Experience in the solar or energy storage industries is a plus. • Solid knowledge of mechanical design principles and design for manufacturability • Familiarity with mechanical systems and pre-configured/skidded electromechanical assemblies • Proficiency in Mechanical design software and tools - SolidWorks and/or AutoCAD; FEA modeling a plus Electrical, Control systems and/or data acquisition & field monitoring proficiency a plus Soft Skills: • Strong communication and presentation skills. • Excellent problem-solving abilities and attention to detail. • Ability to work collaboratively in a cross-functional team environment. Certifications: • Professional Engineer (PE) license is a plus. Disclaimer: The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement: Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. Requirements: PIc5d3b-9955
08/07/2026
Full time
Description: We are seeking a motivated Applications Engineer to support our Skidded Solutions (liquid-filled medium voltage transformers, switchgear cabinets, inverters) in the solar and energy storage industries. The Applications Engineer will be responsible for interfacing with Customers (current and potential) in an effort to achieve revenue growth and customer acquisition objectives set forth by the Company. The Applications Engineer will review customer specifications, assist in determining and understanding client equipment needs, generate quotes, and engage in follow up conversations with the customer regarding open opportunities. The ideal candidate will possess strong technical expertise in mechanical design and practical integration, focusing on the design, optimization, and mechanical integration of structural skids with transformers and switchgear. The candidate will collaborate with cross-functional teams to develop solutions that meet customer requirements, industry standards, and regulatory compliance. This role involves working closely with sales, product management, design engineering, and customers to ensure optimal performance, reliability, and cost-effectiveness. Key Responsibilities : Technical Expertise: • Serve as a technical resource on the mechanical integration and optimization of skidded liquid-filled medium voltage transformers, switchgear cabinets and inverters for solar and energy storage applications. • Provide technical guidance on product selection, specifications, and customization to meet customer requirements. • Analyze technical problems and recommend solutions. Customer Support: • Work directly with customers to understand their needs, address inquiries, and recommend appropriate integrated design solutions. • Prepare and deliver technical presentations and proposals, including customer-facing quotes in support of the sales process. • Support sales with technical training and customer visits. Application Engineering: • Interpret customer specifications and industry standards to create accurate design requirements. • Collaborate with design engineering and manufacturing teams to ensure products are readily manufacturable and meet performance, reliability, and cost targets. • Develop and maintain technical documentation, including drawings, manuals, and data sheets. • Identify value engineering opportunities within integrated designs to optimize cost and capability in support of customer needs Project Support: • Assist in managing multiple projects, ensuring timely delivery of proposals, designs, and support. • Coordinate with supply chain and production teams to address lead times and resource planning. Industry and Standards Compliance: • Stay current with industry standards, codes, and regulations such as IEEE, IEC, UL and ASCE. • Ensure products and applications comply with environmental and safety regulations. Qualifications : • Bachelor's degree in Mechanical Engineering or a related field. • Minimum of 2-5 years of professional experience in application or mechanical design engineering, preferably with mechanical integration of electrical equipment • Experience in the solar or energy storage industries is a plus. • Solid knowledge of mechanical design principles and design for manufacturability • Familiarity with mechanical systems and pre-configured/skidded electromechanical assemblies • Proficiency in Mechanical design software and tools - SolidWorks and/or AutoCAD; FEA modeling a plus Electrical, Control systems and/or data acquisition & field monitoring proficiency a plus Soft Skills: • Strong communication and presentation skills. • Excellent problem-solving abilities and attention to detail. • Ability to work collaboratively in a cross-functional team environment. Certifications: • Professional Engineer (PE) license is a plus. Disclaimer: The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement: Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. Requirements: PIc5d3b-9955
Disney Entertainment and ESPN Product & Technology
Santa Monica, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Glendale, California
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Seattle, Washington
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU'LL DO Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. Create, evaluate, improve, optimize technologies Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. Design, build, and scale robust ML systems that power core ad platform capabilities Champion engineering excellence through best practices in code quality, system design, and operational reliability. Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING Bachelor's in computer science or equivalent experience. Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. Experience developing language-processing applications via LLMs or agentic flows. Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. Strong knowledge of AI/ML technologies, mathematics and statistics. Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. Expert knowledge with traditional (tabular) ML modeling and methods. Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES MS or PhD (preferred) in computer science or equivalent experience. Experience with multimodal models and embedding techniques. Computer vision or visual content understanding experience. Experience in digital video advertising or digital marketing domain. Location: Seattle / Santa Monica / Glendale The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
VanTran Industries, Inc. seeks an Applications Engineer to support custom medium-voltage transformer projects for utility, industrial, commercial, and renewable energy customers. In this role, you will interpret customer specifications, select and configure transformer designs, and prepare technical proposals, drawings, and documentation. You'll collaborate closely with sales, engineering, and manufacturing to ensure reliable, cost-effective, and manufacturable solutions. This hands-on position offers the opportunity to deepen your power systems expertise while contributing to high-quality, American-made transformer solutions in a safety- and quality-focused environment.
08/01/2026
Full time
VanTran Industries, Inc. seeks an Applications Engineer to support custom medium-voltage transformer projects for utility, industrial, commercial, and renewable energy customers. In this role, you will interpret customer specifications, select and configure transformer designs, and prepare technical proposals, drawings, and documentation. You'll collaborate closely with sales, engineering, and manufacturing to ensure reliable, cost-effective, and manufacturable solutions. This hands-on position offers the opportunity to deepen your power systems expertise while contributing to high-quality, American-made transformer solutions in a safety- and quality-focused environment.