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Entry Level Speech Recognition Engineer Jobs (NOW HIRING)

Genesys Developer

New York, NY · On-site

$45 - $50/hr

Title: Genesys Developer Location: New Jersey/New York Duration: Long term Responsibilities ... Experience with management and development of speech recognition systems and grammars. * Experience ...

The company is primarily focused on information technology, engineering, healthcare, financial ... Expert knowledge of usability principles for speech recognition-based IVR. Candidate will be ...

... Recognition (ASR) and Text-to-Speech (TTS). • Setting up workflow automations for lead ... API integrations • Prompt engineering • Understanding of voice interface design • ...

Member of Technical Staff

Palo Alto, CA · On-site

$324K - $396K/yr

... speech recognition applications 5. Rust, C++, or Python programming language to build tooling and features within company software development code and standards. * Building applications with ...

Senior AI Research Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

We are looking for a Senior AI Research Engineer to join our Duolingo Video Call team. The ideal ... speech recognition, and text-to-speech systems. * Collaborate with cross-functional teams to ...

Senior AI Research Engineer

New York, NY

$114K - $157K/yr

We are looking for a Senior AI Research Engineer to join our Duolingo Video Call team. The ideal ... speech recognition, and text-to-speech systems. * Collaborate with cross-functional teams to ...

Audio AI Engineer, #1085 Multilingual Speech-to-Text Engineer - On-Device Model Optimization, #1085 A Role with Purpose and Impact This role builds the speech recognition core of a mobile translation ...

New

Audio AI Engineer

Reston, VA · On-site

$80K - $160K/yr

... speech recognition core of a mobile translation capability supporting a government agency's national security mission. The engineer will take large, high-quality speech-to-text models spanning many ...

New

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine ... Has significant experience with at least one of the following areas: (1) Speech recognition (ASR ...

Audio AI Engineer, #1085 Multilingual Speech-to-Text Engineer -- On-Device Model Optimization, #1085 A Role with Purpose and Impact This role builds the speech recognition core of a mobile ...

New

Showing results 21-40

Entry Level Speech Recognition Engineer information

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$14

$31

$50

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

As of Aug 9, 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 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.

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:
Infographic showing various Entry Level Speech Recognition Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 16% Part Time, and 1% Contract. Highlights an 67% Physical, 1% Hybrid, and 32% Remote job distribution, with an average salary of $65,130 per year, or $31.3 per hour.

Machine Learning Engineer, Siri Speech

Apple

Cupertino, CA • On-site

Full-time

Re-posted 29 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Come join us and do your best work. Here at Apple, you'll do more than join something - you'll add something.
Join the Siri Speech team and play a part in the next revolution in human-computer interaction. You'll help create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence, building production-quality models that power natural voice experiences used by millions. In this role, you will design and develop machine learning models, fine tune deep learning systems for speaker recognition and multimodal understanding, and collaborate across software engineering, data science, and product to integrate solutions into production.
Description
At the Siri Speech team, you will drive research and development for natural voice interaction, investigating new approaches and fine tuning deep learning models. You will design, develop, and implement machine learning models across speech, NLP, and multimodal applications, integrate ML solutions into existing workflows and large-scale systems, and work with large quantities of data to create production-quality models at scale. You will write clean, efficient, well-documented code, participate in code reviews, and mentor junior team members. Collaboration with cross-functional partners to define requirements and deliver high-quality solutions is essential. You will contribute to research initiatives and stay current with advancements in ML, HCI, LLMs, speech recognition, and signal processing. You should be passionate about creating and shipping phenomenal products and thrive in a fast-paced environment with rapidly changing priorities.
Minimum Qualifications
Strong proficiency in Python; good coding skills in bash scripting, and any OOP/functional language such as Java, C, C++, Go, Rust etc.
Experience with machine learning algorithms and techniques, including deep learning.
Hands-on experience with TensorFlow and/or PyTorch; familiarity with scikit-learn.
Experience with version control systems such as Git.
Good knowledge in machine learning technologies related to speech and audio processing; experience with image processing is a plus.
Strong problem-solving skills and ability to work independently as well as in a team environment.
Excellent written and verbal communication skills.
Preferred Qualifications
M.S in Computer Science or related field, or Bachelor's degree with equivalent experience.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976