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Audio Machine Learning Jobs in Washington (NOW HIRING)

Eliassen Group

Lead AI Engineer

Rockville, MD · On-site +1

$99 - $110/hr

... audio, and video. * Build multimodal extraction using OCR, layout parsing, and vision-language ... Experience Requirements: * 8+ years in software engineering or machine learning with production AI ...

Fantom Corporation

Network Engineer

Chantilly, VA · Hybrid

... Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio ...

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$33.4K

$95.7K

$194.2K

How much do audio machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for audio machine learning in Washington is $95,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $128,000.00 per year, depending on experience, location, and employer.

What is an Audio Machine Learning job?

An Audio Machine Learning job involves developing algorithms and models that analyze, process, and generate audio data. Responsibilities typically include working with speech recognition, music analysis, sound classification, and audio enhancement. Professionals in this field use deep learning, signal processing, and neural networks to improve audio-based applications like voice assistants, noise reduction systems, and music recommendation engines. They often work with datasets of speech, music, or environmental sounds to build models that understand and manipulate audio signals effectively.

What are the key skills and qualifications needed to thrive in the Audio Machine Learning position, and why are they important?

To thrive in Audio Machine Learning, you need a strong background in machine learning, digital signal processing, and proficiency with programming languages such as Python or MATLAB, typically supported by a relevant degree in computer science, electrical engineering, or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with audio libraries (e.g., Librosa), and knowledge of cloud computing tools are highly valued, as are certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication are essential soft skills for success in this field. These skills are crucial for developing innovative solutions, collaborating across multidisciplinary teams, and addressing complex audio data challenges in real-world projects.

What are the typical daily responsibilities of someone working in Audio Machine Learning?

Professionals in Audio Machine Learning typically spend their days designing, developing, and optimizing machine learning models tailored to audio data, such as speech or music recognition systems. You may also preprocess large datasets, extract and engineer relevant features, and collaborate closely with data scientists, audio engineers, and software developers to integrate your work into larger applications. Regular tasks often include running experiments, evaluating model performance, tuning hyperparameters, and keeping up with the latest advancements in the field. Team meetings, code reviews, and presenting findings to stakeholders are also common parts of the workweek.
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What cities in Washington are hiring for Audio Machine Learning jobs? Cities in Washington with the most Audio Machine Learning job openings:
Audio Machine Learning jobs near you
Lead AI Engineer

Lead AI Engineer

Eliassen Group

Rockville, MD • On-site, Remote

$99 - $110/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago

Job description

Description:
Hybrid 3 days onsite / 2 days remote in Rockville, MD
Our client seeks a Lead AI Engineer to design and deliver an AI-powered compliance screening platform for regulated communications across text and multimedia. The role will architect multimodal ingestion, retrieval-augmented generation, and LLM-driven reasoning with robust explainability and auditability. The engineer will set technical strategy, establish evaluation and risk controls, and mentor a team while collaborating with compliance, legal, and product stakeholders. The work will advance reliable compliance intelligence for financial use cases.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $99.00 to $110.00/hr. w2
JN -06
#LI-JS1
Responsibilities:
  • Design and implement end-to-end AI pipelines for document ingestion across PDFs, HTML, images, audio, and video.
  • Build multimodal extraction using OCR, layout parsing, and vision-language models.
  • Develop LLM-driven compliance reasoning and scalable RAG grounded in regulatory content.
  • Translate regulatory frameworks into machine-interpretable logic.
  • Create rule classifiers, risk scoring models, and violation detection workflows.
  • Evaluate LLMs for action-specific tasks and implement prompt engineering and tool usage.
  • Apply fine-tuning strategies, guardrails, and hallucination mitigation techniques.
  • Integrate multimodal models for charts, images, and disclosures.
  • Deliver explainable, regulator-ready outputs with evidence-backed decisions and linked text spans.
  • Ensure full audit trails for all AI decisions and outputs.
  • Define and track precision, recall, and false-negative metrics with human-in-the-loop reviews.
  • Conduct adversarial and edge-case testing to improve reliability.
  • Establish best practices for architecture, coding standards, and MLOps.
  • Collaborate with compliance, legal, and product teams.
  • Mentor engineers on AI and ML best practices.

Experience Requirements:
  • 8+ years in software engineering or machine learning with production AI/ML delivery.
  • Experience in regulated industries such as finance, legal, or healthcare.
  • Strong expertise in NLP and large language models.
  • Hands-on experience with retrieval-augmented generation.
  • Proficiency in model evaluation and benchmarking, including LLM-specific evaluation.
  • Familiarity with multimodal AI across text, image, and layout.
  • Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.
  • Experience with vector databases such as PG Vector or Pinecone.
  • Background in document processing pipelines, including OCR and PDF parsing.
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
  • MLOps, CI/CD, model monitoring, and scalable distributed system design.
  • Experience with explainable AI and understanding of auditability and governance requirements.
  • Exposure to industry regulations and compliance frameworks (preferred).
  • Experience building legal or compliance-focused AI systems (preferred).
  • Familiarity with marketing or advertising review processes (preferred).
  • Experience analyzing structured and unstructured documents, including charts and disclosures (preferred).
  • Background in hybrid AI systems combining rules and machine learning (preferred).

Education Requirements:
  • Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
  • PhD preferred but not required.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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