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Transform Labs Jobs (NOW HIRING)

Catalyst Labs

Tech Lead, Data & Inference Engineer

Dallas, TX · On-site

$113K - $136K/yr

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... transforms diverse data sources into reliable business insights, while mentoring engineers and ...

Via

Senior AI Engineer, AI Labs

New York, NY · On-site

$180K - $250K/yr

Our platform serves as the technology backbone for modern transit networks, transforming antiquated ... We're now launching AI Labs - an incubator-style team operating like a startup within the company ...

DoorDash

Service Technician, Labs

Sunnyvale, CA · On-site

We explore robotics and automation to transform last-mile logistics in the long term. If you have a ... at DoorDash Labs. You will build on your existing technical skills to perform diagnostic ...

Astera Labs

Distinguished Formal Verification

San Jose, CA · On-site

$159K/yr

... Labs as a thought leader in the formal verification community. This position offers exceptional scope for impact-your work will directly enable the rack-scale AI infrastructure that's transforming ...

C10 Labs

Founder in Residence

Cambridge, MA · On-site +1

... transform major industries * Conduct market research, customer discovery, and technical validation * Build prototypes, proof-of-concepts, or early product architectures * Collaborate with C10 Labs ...

Paxos Labs

DeFi Researcher

New York, NY · On-site +1

... Labs means becoming part of a pioneering team at the forefront of financial innovation for the mass market. You will have the opportunity to: * Build the Future: Play a critical role in transforming ...

Machina Labs

Senior Product Manager

Chatsworth, CA · On-site

$129K - $170K/yr

Machina Labs is a company focused on transforming manufacturing with intelligent, software-defined factories. They are seeking a Senior Product Manager to lead the development of software systems ...

C10 Labs

... transform major industries * Conduct market research, customer discovery, and technical validation * Build prototypes, proof-of-concepts, or early product architectures * Collaborate with C10 Labs ...

Paxos Labs

Fullstack Product Engineer

New York, NY · On-site

... Labs means becoming part of a pioneering team at the forefront of financial innovation for the mass market. You will have the opportunity to: * Build the Future: Play a critical role in transforming ...

Paxos Labs

Lead Security Engineer

New York, NY · On-site

$112K - $147K/yr

... Labs means becoming part of a pioneering team at the forefront of financial innovation for the mass market. You will have the opportunity to: * Build the Future: Play a critical role in transforming ...

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Transform Labs information

What is the difference between Transform Labs vs Data Analyst?

AspectTransform LabsData Analyst
Required CredentialsTypically requires a background in data science, programming, or related fields; certifications like SQL, Python, or data analysis courses are common.Often requires a degree in statistics, mathematics, or related fields; certifications like Excel, SQL, or Tableau are beneficial.
Work EnvironmentPrimarily collaborative, project-based work in tech or startup settings, often remote or hybrid.Office or remote settings, working with data sets, reports, and dashboards.
Employer & Industry UsageUsed in tech startups, data-driven companies, and research labs.Common across finance, healthcare, marketing, and corporate sectors.

Transform Labs focuses on developing innovative data solutions and products, often in tech environments, while Data Analysts interpret data to inform business decisions across various industries. Both roles require strong analytical skills but differ in scope and technical focus.

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Transform Labs jobs near you
Infographic showing various Transform Labs job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 50% Full Time, 47% Part Time, and 2% Contract. Highlights an 54% Physical, 2% Hybrid, and 44% Remote job distribution.

Tech Lead, Data & Inference Engineer

Catalyst Labs

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 23 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 a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into reliable business insights, while mentoring engineers and promoting best practices across the organization.
Responsibilities:
• Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use.
• Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems.
• Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte.
• Conduct root cause analysis and provide long lasting solutions.
• Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation.
• Manage version control, caching and evaluation loops.
• Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making.
• Guide architectural decisions across the data lake and the entire pipeline stack.
• Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally.
• Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases.
• Mentor engineers, review code and raise the overall technical standard across teams.
• Promote data driven best practices throughout the organization.
Qualifications:
Required:
• Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
• Excellent written and verbal communication; proactive and collaborative mindset.
• Comfortable in hybrid or distributed environments with strong ownership and accountability.
• A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes.
• Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly.
• 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
• Expert SQL (query optimization on large datasets) and Python skills.
• Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
• Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
Preferred:
• Strong Node.js skills for faster onboarding and system integration.
• Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
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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