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Entry Level Speech Recognition Engineer Jobs (NOW HIRING)

Software Engineer - Senior

Herndon, VA

$126K - $166K/yr

Speech Recognition * Systems Analysis * Technology Design * Telecommunications * Troubleshooting ... Engineering, Business, or a scientific or technical discipline related to the specific skill will ...

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Technical Support Engineer

Wichita, KS · On-site

$50K - $60K/yr

We specialize in voice & video recording, speech recognition, computer assisted coding, court room ... engineer when you call.

Mercy Medical Center is honored to be recognized by Newsweek as one of America's Most Trustworthy ... Must possess adequate professional affiliation requirements for entry level of employment. Prefer ...

... 100 - recognized for excellence and maturity Collabera named among the Top 500 Diversity Owned ... This is an entry-level position - less than two years of industry experience is expected; Vxworks ...

... 100 - recognized for excellence and maturity Collabera named among the Top 500 Diversity Owned ... Will consider entry level, recent college graduates in the engineering field. Electrical, Computer ...

Our team is small, highly motivated, and focused on engineering excellence. This organization is ... speech recognition, and auditory experiences across diverse languages, accents, and cultural ...

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Entry Level Speech Recognition Engineer information

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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
What are the most commonly searched types of Speech Recognition Engineer jobs? The most popular types of Speech Recognition Engineer jobs are:
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:
Software Engineer - Senior

Software Engineer - Senior

Beyond SOF

Herndon, VA

$126K - $166K/yr

Other

Posted 12 days ago


Job description

Software Engineer - Senior

Analyzes user interfaces, maintain hardware and software performance tuning, analyze workload and computer usage, maintain interfaces with outside systems, analyze downtimes, analyze proposed system modifications, upgrades and new COTS. Defines the problem, and develops system requirements and program specifications, from which programmers prepare detailed flow charts, programs, and tests.

Coordinates closely with programmers to ensure proper implementation of program and system specifications. Develops, in conjunction with functional users, system alternative solutions.

Duties, Tasks, and Responsibilities

  • Advise customer about, or perform, maintenance of software system.
  • Analyze information to determine, recommend, and plan computer specifications and layouts, and peripheral equipment modifications.
  • Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.
  • Confer with data processing and project managers to obtain information on limitations and capabilities for data processing projects.
  • Confer with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces.
  • Consult with customers about software system design and maintenance.
  • Consult with customers or other departments on project status, proposals and technical issues such as software system design and maintenance.
  • Consult with engineering staff to evaluate interface between hardware and software, develop specifications and performance requirements and resolve customer problems.
  • Coordinate installation of software system.
  • Coordinate software system installation and monitor equipment functioning to ensure specifications are met.
  • Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
  • Develop and direct software system testing and validation procedures, programming, and documentation.
  • Develop and direct software system testing and validation procedures. Estimate software development costs and schedule.
  • Evaluate factors such as reporting formats required, cost constraints, and need for security restrictions to determine hardware configuration.
  • Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance.
  • Monitor functioning of equipment to ensure system operates in conformance with specifications.
  • Obtain and evaluate information on factors such as reporting formats required, costs, and security needs to determine hardware configuration.
  • Prepare reports and correspondence concerning project specifications, activities and status.
  • Review existing programs and assist in making refinements, reducing operating time, and improve current techniques.
  • Specify power supply requirements and configuration.
  • Store, retrieve, and manipulate data for analysis of system capabilities and requirements.
  • Supervise the work of programmers, technologists and technicians and other engineering and scientific personnel.
  • Train users to use new or modified equipment.
  • Utilize microcontrollers to develop control signals, implement control algorithms and measure process variables such as temperatures, pressures and positions.

Knowledge, Skills, and Abilities

  • Active Learning
  • Complex Problem Solving
  • Computers and Electronics
  • Critical Thinking
  • Deductive Reasoning
  • Design
  • Engineering and Technology
  • English Language
  • Inductive Reasoning
  • Information Ordering
  • Judgment and Decision Making
  • Mathematics
  • Operations Analysis
  • Oral Comprehension
  • Oral Expression
  • Problem Sensitivity
  • Programming
  • Reading Comprehension
  • Speech Clarity
  • Speech Recognition
  • Systems Analysis
  • Technology Design
  • Telecommunications
  • Troubleshooting
  • Written Comprehension

Minimum Education

General equivalency guidelines for education, certifications, and experience are provided below; however, these guidelines do not immediately qualify someone at a particular level. Skill levels for an individual are based upon a combination of education, training, and experience, e.g. someone may have 20 years of professional experience; however they may only be qualified as Full Performance based upon the expertise needed to perform the work within that category.

• General professional years of experience may be substituted for specialized years of experience at a ratio of three (3) years of general experience within an occupation for one (1) year of specialized experience.

• Relevant certifications will be considered equivalent to three (3) months of specialized experience.

• An Associate's degree in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline related to the specific skill will be considered equivalent to eighteen (18) months specialized experience.

• A Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline related to the specific skill will be considered equivalent to three (3) years specialized experience (total equivalency is not cumulative when combined with an Associate's degree).

• A Master's degree in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline related to the specific skill will be considered equivalent to two (2) years specialized experience (up to a total of five (5) years when combined with a Bachelor's).

• A Doctorate in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline related to the specific skill will be considered equivalent to two (2) years specialized experience (up to a total of seven (7) years when combined with a Master's and a Bachelor's).

Minimum Experience

Senior: • A senior level practitioner.

• Someone that has extensive experience or training related to a particular skill, language, system, or technology and is capable of not only delivering a capability tied to that skill, but passing their knowledge on to others.

• Requires a minimum of six (6) years of experience specific to the skill.

• Ability, training and actual work experience with the specific computer language, systems, and/or technology is significantly more important than the number of years of experience. This is especially true with emerging technologies.