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Window Engineer Jobs in California (NOW HIRING)

Qubeaxis

AIML Engineer

San Francisco, CA · On-site

$200 - $250/hr

We are looking for a driven and detail‑oriented AI/ML Engineer to join our growing applied AI ... Flexible working hours with a core collaboration window; 25 days annual leave. #J-18808-Ljbffr

Solidigm

IP Logic Design Engineer

Rancho Cordova, CA · On-site

Partner with product engineering and technology development teams to define Read-Window-Budget (RWB) features and develop Design for Testability (DFT) methods that reduce test time and cost while ...

Solidigm

IP Logic Design Engineer

Rancho Cordova, CA · On-site

$105K - $164K/yr

Partner with product engineering and technology development teams to define Read-Window-Budget (RWB) features and develop Design for Testability (DFT) methods that reduce test time and cost while ...

Getclera

Staff Engineer -- Agentic AI

San Francisco, CA · On-site

$200 - $250/hr

Report to the CTO and serve as technical lead for a small team of AI engineers, a user researcher ... Deep experience designing LLM application architectures, including model selection, context/window ...

Modal, Inc

Developer Relations Engineer

San Francisco, CA · On-site

$175K - $275K/yr

AI is no different, except it touches everything instead of one slice, and the window to build the ... We are looking for someone who: * 3+ years as a software engineer * Is energized by the AI ...

Toyon

AI/ML Software Engineer

Goleta, CA · On-site

$120K - $200K/yr

Our software engineers work closely with our researchers and customers to create state-of-the-art ... The application window for this posting will remain open until the position is filled. Ref #2670-C

GFiber

Senior Application Engineer

Sunnyvale, CA · On-site

The application window will be open until at least July 27th, 2026 . This opportunity will remain ... Role Description We are looking for people that are passionate about solving engineering problems ...

Toyon Research Corporation

Test Engineer

Goleta, CA · On-site

$125K - $225K/yr

We are seeking a Test Engineer to join our team. This position requires a strong background in ... The application window for this posting will remain open until the position is filled. Ref #2632-H

Toyon

Test Engineer

Goleta, CA · On-site

$125K - $225K/yr

We are seeking a Test Engineer to join our team. This position requires a strong background in ... The application window for this posting will remain open until the position is filled. Ref #2632-H

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All JobsWindow Engineer JobsWindow Engineer Jobs in California

Window Engineer information

What is the difference between Window Engineer vs Window Installer?

AspectWindow EngineerWindow Installer
CredentialsMay require technical certifications or experience in window systemsTypically requires basic construction or carpentry experience, sometimes certifications
Work EnvironmentInvolves repair, maintenance, and technical troubleshooting, often in workshops or on-sitePrimarily on-site installation at new or renovated buildings
Employer & IndustryConstruction companies, specialized window service firmsConstruction, remodeling, and building companies

While both roles involve working with windows, a Window Engineer focuses on technical repair, maintenance, and system troubleshooting, whereas a Window Installer specializes in installing new windows during construction or renovation projects. Understanding these differences helps in choosing the right career path or service provider.

What does a window engineer do?

A window engineer designs, installs, repairs, and maintains windows and glazing systems in buildings. They often work with specialized tools, follow safety protocols, and may require certifications in construction or glazing. Their work involves ensuring windows are functional, energy-efficient, and meet safety standards.

What cities in California are hiring for Window Engineer jobs?

Cities in California with the most Window Engineer job openings:

Window Engineer jobs near you
Infographic showing various Window Engineer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

AIML Engineer

San Francisco, CA • On-site

Qubeaxis
See more jobs at Qubeaxisexternal

$200 - $250/hr

Other

Medical, Dental, Vision, PTO

Posted 22 days ago

Key responsibilities

  • Design, build, and ship intelligent systems that impact the product and users.

  • Work across the full ML lifecycle, including data ingestion, experimentation, deployment, and monitoring.

  • Collaborate with product managers, platform engineers, and data scientists to bring AI-powered capabilities to production at scale.

Job description

Join our AI-first team shaping next‑gen intelligent systems. Work on cutting‑edge models, agentic workflows, and real‑world ML deployments.

We are looking for a driven and detail‑oriented AI/ML Engineer to join our growing applied AI team. In this role, you will design, build, and ship intelligent systems that directly impact our product and millions of users. You will work across the full ML lifecycle — from data ingestion and experimentation to model deployment and monitoring — collaborating closely with product managers, platform engineers, and data scientists to bring AI‑powered capabilities to production at scale.

About the Team

Our AI Platform team builds the intelligence layer that powers every product decision — from personalized recommendations and real‑time fraud signals to generative AI features used by millions daily. We operate with a startup mindset inside a scaled organisation: fast cycles, high ownership, and a direct path from research prototype to production impact. You'll be embedded alongside senior engineers and researchers, with mentorship, access to compute, and a genuine culture of learning.

Required Skills & Qualifications
  • Python proficiency — Must Have; production‑quality code, OOP, async programming, and familiarity with testing frameworks (pytest).
  • Machine learning fundamentals — Must Have; solid grasp of supervised/unsupervised learning, model evaluation, bias‑variance tradeoff, and regularisation.
  • LLM & NLP experience — Must Have; hands‑on work with transformer architectures, prompt engineering, fine‑tuning (LoRA / QLoRA), and tokenisation.
  • RAG pipeline development — Must Have; experience building retrieval‑augmented systems with vector databases (Pinecone, Weaviate, or pgvector).
  • LLM frameworks — Must Have; practical knowledge of LangChain, LlamaIndex, or equivalent orchestration tools.
  • Cloud & MLOps basics — Must Have; experience with at least one major cloud (AWS / GCP / Azure), containerisation (Docker), and CI/CD for ML workflows.
  • Version control & collaboration — Must Have; Git, code review culture, and documentation practices.
Preferred Qualifications
  • B.Tech / B.S. / M.S. in Computer Science, Data Science, Mathematics, or a related field — or equivalent industry experience. Nice to Have
  • Experience with PyTorch or TensorFlow for custom model training and fine‑tuning on domain datasets. Nice to Have
  • Familiarity with Hugging Face ecosystem — Transformers, PEFT, Datasets, Evaluate libraries. Nice to Have
  • Exposure to multi‑modal models (vision‑language, speech, or document understanding). Nice to Have
  • Knowledge of model serving frameworks — TorchServe, BentoML, vLLM, or Triton Inference Server. Nice to Have
  • Published work, open‑source contributions, Kaggle Top placements, or demonstrable personal AI projects on GitHub. Nice to Have
  • Understanding of data privacy, responsible AI principles, and model interpretability (SHAP, LIME). Nice to Have
What We Offer
  • Competitive salary benchmarked against top‑quartile market data, reviewed bi‑annually.
  • Performance bonus (up to 20% of base) tied to individual and team milestones.
  • Equity participation through stock options vesting over a 4‑year schedule.
  • Health, dental, and vision insurance fully covered for employee + dependants.
  • $3,000 annual learning & development budget — conferences, courses, certifications.
  • Access to premium compute (A100 / H100 clusters) for research and experimentation.
  • Flexible working hours with a core collaboration window; 25 days annual leave.
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