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Catalyst Developer Jobs in Texas (NOW HIRING)

Catalyst Labs, LLC

ML Engineer

Austin, TX

ML Engineer Austin, Texas, United States About the Job Our client is a rapidly growing Tier 1 VC ... About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI ...

KG Tiger

SENIOR JAVA DEVELOPER

Dallas, TX

$56.75 - $72.25/hr

A global technology leader and a catalyst of sustainable societal change. In that same spirit - and ... The Sr. Java Developer will be a key contributor to our Product Development practice and will ...

Ketjen

FCC Technical Excellence Engineer

Houston, TX

Catalyst selection and optimization modeling * Technical bid development * Postsales unit monitoring and performance tracking * Partner with IT and data engineering teams to ensure systems are robust ...

Ketjen

FCC Technical Excellence Engineer

Houston, TX · On-site

Catalyst selection and optimization modeling * Technical bid development * Post-sales unit monitoring and performance tracking * Partner with IT and data engineering teams to ensure systems are ...

Leidos

Network Engineer III

Houston, TX · On-site

The Network Engineer that is selected for this role will be responsible for the design ... Also utilizing tools such as Cisco Catalyst Center for network management, Cisco Identity Services ...

JACAM

Laboratory Mech Engineer

Gardendale, TX

Adhere to Jacam Catalyst's Drug and Alcohol policy and agree to submit to random drug testing as a condition of employment. ** Sponsorship is not available for this position.

Jacam

Laboratory Mech Engineer

Gardendale, TX · On-site

Bachelor's degree in Mechanical Engineering or from relevant discipline * Strong problem solving ... Able to detect odors All employees of Jacam Catalyst LLC, and its subsidiaries, are required to ...

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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.

Who is catalyst development?

A Catalyst Developer is a professional responsible for designing, developing, and optimizing catalysts used in chemical processes to improve efficiency and selectivity. This role often involves knowledge of chemistry, materials science, and laboratory testing, and may require experience with process simulation tools and safety protocols.

What jobs pay 200,000 a year in the USA?

For a Catalyst Developer, salaries of $200,000 or more annually are typically found in senior or specialized roles within industries like chemical manufacturing, pharmaceuticals, or research institutions, often requiring advanced skills, certifications, and extensive experience. High-paying positions may also involve leadership responsibilities or working in high-demand environments. Compensation varies based on location, company size, and individual expertise.

What jobs in the US pay 300,000 a year?

For a Catalyst Developer, annual salaries of $300,000 or more are typically found in senior or specialized roles within the biotech, chemical, or manufacturing industries, especially for those with extensive experience, advanced certifications, or leadership responsibilities. High-paying positions often require expertise in process optimization, project management, and proficiency with relevant tools and programming languages. Compensation varies based on company size, location, and individual skill level.

What is the highest paying developer job?

Senior software engineers, especially those specializing in high-demand areas like machine learning, cloud computing, or cybersecurity, tend to have the highest salaries among developers. Roles such as software architects or technical leads also command top compensation, often exceeding $150,000 annually depending on experience and location.
What are popular job titles related to Catalyst Developer jobs in Texas? For Catalyst Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Catalyst Developer jobs in Texas look for? The top searched job categories for Catalyst Developer jobs in Texas are:
What cities in Texas are hiring for Catalyst Developer jobs? Cities in Texas with the most Catalyst Developer job openings:
Catalyst Developer jobs near you

ML Engineer

Catalyst Labs, LLC

Austin, TX

Other

Posted 29 days ago

Job description

ML Engineer

Austin, Texas, 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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