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Audio Machine Learning Jobs in Connecticut (NOW HIRING)

Catalyst Labs, LLC

ML Engineer

Stamford, CT · On-site

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ... Experience with audio-focused ML projects or similar domains involving unstructured data.

Catalyst Labs, LLC

ML Engineer

Old Greenwich, CT

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a ... Experience with audio-focused ML projects or similar domains involving unstructured data.

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Audio Machine Learning information

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.

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 most commonly searched types of Audio Machine Learning jobs in Connecticut? The most popular types of Audio Machine Learning jobs in Connecticut are:
What are popular job titles related to Audio Machine Learning jobs in Connecticut? For Audio Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Audio Machine Learning jobs in Connecticut look for? The top searched job categories for Audio Machine Learning jobs in Connecticut are:
Audio Machine Learning jobs near you
Infographic showing various Audio Machine Learning job openings in Connecticut as of June 2026, with employment types broken down into 67% Full Time, 17% Part Time, 8% Temporary, and 8% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

ML Engineer

Catalyst Labs, LLC

Stamford, CT • On-site

Other

Posted 23 days ago

Job description

ML Engineer

Stamford, Connecticut, United States

About the Job

Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.

By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.

About Us

Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations.

We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.

Location: New York, NY

Work type: Full Time

Compensation: above market base + bonus + equity

Roles & Responsibilities
  • Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
  • Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  • Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  • Build agents capable of operating natively on real-world audio inputs.
  • Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  • Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  • Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  • Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 1-6 years of professional experience in ML engineering.
  • Strong programming skills in Python (TypeScript experience is a plus).
  • Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  • Familiarity with cloud environments and infrastructure (preferably AWS).
  • Strong understanding of data pipeline design, real-time inference, and model monitoring.
  • Excellent communication skills with the ability to engage directly with customers and stakeholders.
Core Experience
  • Proven experience building and deploying ML models into production environments.
  • Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
  • Experience with audio-focused ML projects or similar domains involving unstructured data.
  • Proficiency in building scalable data pipelines for model training and evaluation.
  • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  • Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

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