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Full Time Audio Machine Learning Jobs Near Me

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Regular full-time employees are eligible for benefits - see here. #LI-KB1

Posted today

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Regular full-time employees are eligible for benefits - see here. #LI-KB1

Posted today

Zobility

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... audio, or current signature analysis. • Minimum Experience: 2+ years experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with ...

LER TechForce

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... like machine learning in use within proof-of-technology concepts to deployed IoT projects.Help ... vibration, audio, or current signature analysis Company : LER TechForce is an engineering ...

Accenture

AI/ML Computational Science Manager

Hartford, OH · On-site

$94K - $293K/yr

Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science * Minimum of 5 years of experience in machine learning, deep learning, or ...

Accenture

AI/ML Computational Science Manager

Columbus, OH · On-site

$94K - $293K/yr

Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science * Minimum of 5 years of experience in machine learning, deep learning, or ...

KDC/ONE

Machine Operator

Groveport, OH · On-site

$16 - $19.25/hr

Status: Full-Time. Do you enjoy working with machines and learning how things work? Are you mechanically inclined and looking for a hands-on role where you can build new skills? Join kdc/one, where ...

KDC One Knowlton

Machine Operator (All Shifts)

Groveport, OH · On-site

$16.50 - $19.75/hr

Machine Operator - Where Precision Meets Possibility Location: kdc/one Groveport Status: Full-Time Do you enjoy working with machines and learning how things work? Are you mechanically inclined and ...

Novolex

Machine Operator

Mount Vernon, OH

$25.34/hr

... Learning Management System that supports and enhances employee skills at all levels of the ... Formerly Pactiv Evergreen Employment Type: FULL_TIME

Novolex

Machine Operator

Mount Vernon, OH

$25.34/hr

... Learning Management System that supports and enhances employee skills at all levels of the ... Formerly Pactiv Evergreen Employment Type: FULL_TIME

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

... full-time basis. The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

... full-time basis. The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

... full-time basis. The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

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Full Time Audio Machine Learning information

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$29.5K

$84.5K

$171.5K

How much do full time audio machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full time audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.
What are popular job titles related to Full Time Audio Machine Learning jobs? For Full Time Audio Machine Learning jobs, the most frequently searched job titles are:
What job categories do people searching Full Time Audio Machine Learning jobs look for? The top searched job categories for Full Time Audio Machine Learning jobs are:
What are the most commonly searched types of Audio Machine Learning jobs? The most popular types of Audio Machine Learning jobs are:
Full Time Audio Machine Learning jobs near you
A map of the United States highlighting the number of Full Time Audio Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Full Time Audio Machine Learning job openings in each state, with California having the most at 2 and Alaska the least at 0.

Sr. Machine Learning Engineer

AppFolio

Columbus, OH

$100K - $138K/yr

Full-time

Posted 10 hours ago

Posted today

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

183rd of 243 rated software companies

Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site. 
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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