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Catalyst Developer Jobs in Plainfield, NJ (NOW HIRING)

Catalyst Labs

ML Engineer

Manhattan, NY · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems ...

Catalyst Labs

ML Engineer

Manhattan, NY · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems ...

KG Tiger

IBM WEBSPHERE COMMERCE DEVELOPER

New York, NY · On-site

A global technology leader and a catalyst of sustainable societal change. In that same spirit - and ... The IBM WebSphere Commerce Architect / Senior Developer will be a member of a B2C eCommerce / B2B e ...

Mercor

DevOps Engineer - AI Model Evaluator

New York, NY · Remote

$85/hr

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: DevOps / SRE / Cloud Engineer (Coding ...

New

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not ... Your unique perspective could be the catalyst for our next revolutionary breakthrough Employment ...

Archgroup

Manager of DevOps Engineering -

Jersey City, NJ · Hybrid

$55 - $75.50/hr

Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility. The Manager of DevOps Engineering is responsible for leading the design, implementation, and ...

Twenty Technologies, Inc

DevOps Engineer

New York, NY · On-site

$130K - $184K/yr

... Catalyst, and In-Q-Tel. Role Summary We are seeking a DevOps Engineer / Software Engineer ... Infrastructure for an in-office position in our New York, NY office focused on infrastructure and ...

Twenty

DevOps Engineer

New York, NY

$57.75 - $79/hr

... Catalyst, and In-Q-Tel. Role Summary We are seeking a DevOps Engineer / Software Engineer ... Infrastructure for an in-office position in our New York, NY office focused on infrastructure and ...

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All JobsCatalyst Developer JobsCatalyst Developer Jobs in Plainfield, NJ

Catalyst Developer information

What is the difference between Catalyst Developer vs Data Engineer?

AspectCatalyst DeveloperData Engineer
Required CredentialsBachelor's in Computer Science or related field, certifications in data processingBachelor's in Computer Science, certifications in data architecture or cloud platforms
Work EnvironmentData processing teams, software development environmentsData infrastructure teams, cloud platforms, big data environments
Employer & Industry UsageTech companies, data-driven organizationsTech firms, finance, healthcare, and other data-intensive industries
Common Search & ComparisonOften compared for data processing roles, similar skill setsRelated but broader data infrastructure roles

While both Catalyst Developers and Data Engineers work with data systems, Catalyst Developers focus on building and optimizing data processing pipelines using specific tools like Apache Spark, whereas Data Engineers design and maintain the overall data architecture and infrastructure. Understanding these distinctions helps employers and job seekers target the right roles based on skills and responsibilities.

Catalyst Developer jobs near you
Infographic showing various Catalyst Developer job openings in Plainfield, NJ as of June 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 100% In-person job distribution.

ML Engineer

Catalyst Labs

Manhattan, NY • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
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:
Required:
• 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.
• 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.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

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