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Entry Level Speech Recognition Engineer Jobs (NOW HIRING)

DabKick

Speech Recognition Engineer

San Jose, CA · On-site

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 ...

DabKick

Speech Recognition Engineer

San Jose, CA

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 ...

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$14

$31

$50

How much do entry level speech recognition engineer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for entry level speech recognition engineer in the United States is $31.31, according to ZipRecruiter salary data. Most workers in this role earn between $27.40 and $34.62 per hour, depending on experience, location, and employer.

What is the salary of speech recognition engineer?

The salary of an entry-level speech recognition engineer typically ranges from $70,000 to $100,000 annually, depending on location, education, and skills in areas such as machine learning and signal processing. Entry-level roles often require knowledge of programming languages like Python and experience with speech processing tools.

Do entry level engineering jobs exist?

Yes, entry level speech recognition engineer positions are available for recent graduates or those with limited experience. These roles typically require foundational knowledge of speech processing, programming skills in languages like Python or C++, and familiarity with machine learning tools. They provide opportunities to develop skills in AI, natural language processing, and voice technology.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can reach salaries of $500,000 or more, especially with extensive experience, advanced skills, and in high-demand industries. These roles often involve leadership responsibilities, complex technical expertise, and may include stock options or bonuses that contribute to total compensation.

What is the difference between Entry Level Speech Recognition Engineer vs Entry Level Machine Learning Engineer?

AspectEntry Level Speech Recognition EngineerEntry Level Machine Learning Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of speech processingBachelor's in Computer Science, Data Science, or related; foundational ML knowledge
Work EnvironmentResearch labs, tech companies, speech tech startupsTech firms, AI startups, research institutions
Industry UsageSpeech recognition, voice assistants, transcription servicesVarious sectors including healthcare, finance, tech

While both roles require a background in computer science and related fields, Entry Level Speech Recognition Engineers focus specifically on speech processing technologies, whereas Entry Level Machine Learning Engineers work broadly across AI applications. The former specializes in speech data and algorithms, while the latter may work on diverse machine learning models across industries.

Is ML a high paying job?

Machine learning (ML) roles, including entry-level speech recognition engineers, tend to offer higher salaries compared to many other tech positions due to the specialized skills required. Salaries vary based on experience, location, and company, but generally, ML jobs are considered well-paying within the technology industry.
More about Entry Level Speech Recognition Engineer jobs
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What job categories do people searching Entry Level Speech Recognition Engineer jobs look for? The top searched job categories for Entry Level Speech Recognition Engineer jobs are:
Entry Level Speech Recognition Engineer jobs near you

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

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