1

Speech Recognition Engineer Jobs (NOW HIRING)

As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance ...

As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance ...

next page

Showing results 1-20

Speech Recognition Engineer information

What is a Speech Recognition Engineer job?

A Speech Recognition Engineer develops and optimizes systems that convert spoken language into text using machine learning and signal processing techniques. They work with large datasets to train and fine-tune speech models, improve accuracy, and handle various accents, noises, and languages. Their role often involves programming in Python, using frameworks like TensorFlow or Kaldi, and collaborating with linguists and software engineers to enhance speech-enabled applications.

What types of projects or daily responsibilities can a Speech Recognition Engineer expect in this role?

As a Speech Recognition Engineer, you’ll typically work on developing, optimizing, and maintaining ASR models and related tools, often as part of a multidisciplinary team. Your daily responsibilities may include analyzing large audio datasets, researching new model architectures, training and evaluating speech models, and troubleshooting real-world system issues. You’ll also collaborate closely with linguists, software developers, and product managers to integrate speech solutions into larger products or platforms. This role offers opportunities to stay on the cutting edge of AI technology and contribute to impactful, user-facing advancements.

What are the key skills and qualifications needed to thrive in the Speech Recognition Engineer position, and why are they important?

To thrive as a Speech Recognition Engineer, a strong background in computer science, signal processing, and machine learning—often backed by a relevant degree—is essential. Familiarity with frameworks such as TensorFlow or PyTorch, knowledge of ASR (Automatic Speech Recognition) systems, and experience with programming languages like Python and C++ are highly valued. Excellent problem-solving skills, teamwork, and effective communication are important soft skills for this position. These competencies enable engineers to build robust, high-quality speech recognition systems that perform well in real-world applications and collaborative work environments.

More about Speech Recognition Engineer jobs
What cities are hiring for Speech Recognition Engineer jobs? Cities with the most Speech Recognition Engineer job openings:
What are the most commonly searched types of Speech Recognition Engineer jobs? The most popular types of Speech Recognition Engineer jobs are:
What states have the most Speech Recognition Engineer jobs? States with the most job openings for Speech Recognition Engineer jobs include:
What job categories do people searching Speech Recognition Engineer jobs look for? The top searched job categories for Speech Recognition Engineer jobs are:
Infographic showing various Speech Recognition Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 64% Full Time, 20% Part Time, and 11% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Speech Recognition Engineer

DabKick

San Jose, CA • On-site

Full-time

Posted yesterday


Job description

Company Description
A Cupertino Silicon Valley technology startup, with an ownership group track record of success (previous startup was sold to a tech giant), is looking for a Speech Recognition Engineer to assist in the development of their media application and tool. Opportunity to make an impactful contribution to a small team of experts who are developing Technology never done before. The app is already launched and available on multiple platforms with solid reviews. There is active interest and site visits from Fortune 25 Tech companies.
Job Description
Are you an A player looking for your next big role? Do you have the appetite for a start up? Do you have the passion and drive in working on complex projects within a fast-paced startup environment? Would you welcome the opportunity to be one of the first 10 on the core development team? If yes, then DabKick is looking to speak with you!
As a Speech Recognition Engineer , you will be responsible for consumer product design for our Advanced Products and Technologies. In this role, you will be involved in modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. To be successful, you need to be highly motivated and detailed oriented while showing highest standards of responsibilities. We are looking for candidates who strive in a fast paced start-up like environment.
Qualifications
  • Familiarity with programming languages such as C/C++, Python, Java or Perl.
  • Experience in building speech recognition and natural language processing systems (e.g., commercial speech products or government speech projects)
  • Solid Machine Learning background and familiar with standard speech and machine learning techniques.
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • Solid software development experience
  • Good written and spoken communication skills.
    Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
    Understanding of high speed design and noise suppression techniques
    Hands on experience with signal integrity tools
    Experience in designing products for wireless networks (GSM, UMTS, LTE), GPS, WiFi and Bluetooth wireless systems
    Strong communication and documentation skills including skills to manage without authorit
    Solid Machine Learning background and familiar with standard speech and machine learning techniques.
    Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

Additional Information
All your information will be kept confidential according to EEO guidelines.
*We are unable to sponsor or relocate at this time