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Chroma Technology Jobs (NOW HIRING)

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$190K - $220K/yr

... technology. Responsibilities * Design, develop, and deploy AI/ML models and pipelines that meet ... Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval ...

Frontier Technology Inc.

AI/ML Engineer

Washington, DC · Remote

$190K - $220K/yr

... technology. Responsibilities * Design, develop, and deploy AI/ML models and pipelines that meet ... Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Stay current with emerging AI technologies, frameworks, and industry trends. Required ... Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Milvus. * Experience with MLOps ...

Conch Technologies Inc

AI ML Engineer

Lakeland, FL · Remote

... Chroma) * Containerization and Compute Infrastructure: Strong experience containerizing AI ... legal-tech) * Familiarity with local-first agentic workflows, Model Context Protocol (MCP), or ...

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

Build intuitive AI-powered web applications using modern front-end technologies such as React ... Pinecone, Weaviate, Chroma, Milvus, Azure AI Search * DevOps: Docker, Kubernetes, Terraform, GitHub ...

SysMind Tech

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

Design, develop, and implement Generative AI solutions using LLMs and related AI technologies ... Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI ...

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Showing results 21-40

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Chroma Technology information

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How much do chroma technology jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for chroma technology in the United States is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $57.69 per hour, depending on experience, location, and employer.

What is the difference between Chroma Technology vs Color Scientist?

AspectChroma TechnologyColor Scientist
Required CredentialsBachelor's or Master's in Chemistry, Physics, or related fieldAdvanced degree (Master's or PhD) in Color Science, Physics, or related
Work EnvironmentManufacturing, R&D labs, quality controlResearch institutions, corporate R&D, consulting
Industry UsageOptical filters, lighting, display technologyColor measurement, color matching, research
Common Search/ComparisonChroma Technology vs Color Scientist

Chroma Technology professionals typically focus on manufacturing and applying optical filters and lighting solutions, requiring practical technical skills. In contrast, Color Scientists often engage in research, development, and analysis of color phenomena, usually holding advanced degrees. Both roles are vital in industries like optics and display technology but differ in their focus and expertise level.

What is Chroma Technology?

Chroma Technology is a manufacturer specializing in optical filters and related products used in scientific and industrial applications. Founded in 1991, the company designs and produces high-performance optical filters for fluorescence microscopy, spectroscopy, and imaging systems. Their products are vital for research in life sciences, physics, and materials science, enabling precise detection and analysis of light. Chroma Technology is also known for its employee-owned structure and commitment to sustainability. They serve customers worldwide, including academic institutions, research labs, and industry partners.

What are the key skills and qualifications needed to thrive as an Optical Coatings Engineer at Chroma Technology, and why are they important?

To thrive as an Optical Coatings Engineer at Chroma Technology, you need a strong background in physics, optics, and materials science, typically supported by a relevant engineering degree. Experience with thin film deposition techniques, optical design software, and quality control systems is highly valued. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating with teams and ensuring precision. These skills and qualities are critical for developing high-performance optical products that meet rigorous industry standards.

What types of teams and professionals does a Chroma Technology employee typically collaborate with on projects?

At Chroma Technology, employees often work closely with cross-functional teams that may include optical engineers, production technicians, quality assurance specialists, and sales representatives. Collaboration is key, as many projects require input from both technical and commercial perspectives to ensure product specifications meet customer needs and manufacturing standards. Team members regularly participate in meetings to discuss project progress, address challenges, and share expertise. This collaborative environment helps employees develop a broad skill set and a strong understanding of the full product lifecycle.
More about Chroma Technology jobs
What states have the most Chroma Technology jobs? States with the most job openings for Chroma Technology jobs include:
What job categories do people searching Chroma Technology jobs look for? The top searched job categories for Chroma Technology jobs are:
Chroma Technology jobs near you
Infographic showing various Chroma Technology job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $117,095 per year, or $56.3 per hour.

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Re-posted 13 days ago

Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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Employment Type: FULL_TIME

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