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IBM Speech Technologies Machine Learning Engineer in LITTLETON, Massachusetts

Introduction

Our mission is to revolutionize customer service by developing and deploying the latest conversational artificial intelligence (AI), natural language processing (NLP) and speech technologies in IBM’s industry-leading chatbot platform Watson Assistant.

We architect and deliver industry-leading SaaS offerings based on speech recognition and synthesis technology, with a particular focus on training and optimizing low-latency state-of-the-art machine learning models for a diverse set of customer use cases. We are actively building the next generation of our speech capabilities at IBM, and we are now significantly expanding our team!

Your Role and Responsibilities

IBM Watson Speech is an industry leader with deep expertise in automatic speech recognition and speech synthesis. We deliver that expertise to global clients with a set of publicly available Speech services that provide robust and customizable recognition and synthesis capabilities.

You will be working with a world-class team of peers from research and development to build products and services that deliver on the promise of AI by solving complex, high-value business problems. You will create and maintain machine learning models, such as RNN-T models, with a focus on speech-centric datasets and enterprise-grade performance. You will work in a highly collaborative environment, and you will use Agile methodologies to understand, develop, and iterate on solutions that meet direct customer needs. Your work will span requirements gathering & architecture, coding, testing, and deploying complex machine learning-based systems. You will employ frameworks like IBM Design Thinking to create products with user interfaces that make it easy for customers to leverage even the most advanced capabilities of a service. You will use IBM’s flagship cloud infrastructure and a development environment with the latest AI compute and networking capabilities to build services that deliver performance, quality, security, and stability.

Above all, we are looking for team members with a keen sense of ownership, resilience and drive. If you like dynamic projects and enjoy being challenged, if you can make progress when faced with ambiguous requirements and uncertainty, if you enjoy moving fast (and are not afraid of making a mistake or two on the way), then we may be the perfect team for you!

Required Technical and Professional Expertise

• Experience with deep learning product development for speech recognition use cases

e.g., RNNs, CNNs, sequence-to-sequence modeling for speech-to-text and/or text-to-speech

• Foundation in core Computer Science (CS) competencies including data structures, algorithms and object-oriented design

• Experience working with massive datasets involving audio data

• Experience with optimizing decoders for speech technologies

• Expertise with the PyTorch framework

• Familiarity with core concepts relevant to automatic speech recognition and synthesis, such as: speaker diarization, phonetics, speech production, signal processing

Preferred Technical and Professional Expertise

• 3+ years experience as a software developer in R&D related to Speech technologies

• Experience in production-grade software development

Java, C++, Python

• Experience deploying PyTorch models in production environments

• Knowledge of one or more non-English languages

• Familiarity with and a passion for getting your code to run in highly available cloud deployments with a focus on low-latency data processing

About Business Unit

IBM’s Cloud and Cognitive software business is committed to bringing the power of IBM’s Cloud and Watson/AI technologies to life for our clients and ecosystem partners around the world. IBM provides you with the most comprehensive and consistent approach to development, security and operations across hybrid environments—with complete software solutions for business and IT operations, development, data science, security, and management. Our experts and software capabilities help organizations develop applications once and deploy them anywhere, integrate security across the breadth of their IT estate, and automate operations with management visibility. With IBM, you also have access to new skills and methods, governance and management approaches, and a deep ecosystem of industry experts and partners.

Your Life @ IBM

What matters to you when you’re looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBM

IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

Location Statement

For additional information about location requirements, please discuss with the recruiter following submission of your application.

IBM intends this job to be performed entirely outside of Colorado.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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