San Francisco, CA · On-site
$120K - $180K/yr
This role is full-time, in-office in San Francisco -- relocation-ready candidates are welcome. What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ...
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San Francisco, CA · On-site
$120K - $180K/yr
This role is full-time, in-office in San Francisco -- relocation-ready candidates are welcome. What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ...
San Francisco, CA · On-site
$120K - $180K/yr
This is a full-time, in-office role in San Francisco . What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (noisy ...
San Francisco, CA · On-site
$120K - $180K/yr
This is a full-time, in-office role in San Francisco . What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (noisy ...
$120K - $180K/yr
This role is full-time, in-office in San Francisco - relocation-ready candidates are welcome. What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ...
$120K - $180K/yr
This role is full-time, in-office in San Francisco - relocation-ready candidates are welcome. What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ...
San Francisco, CA · On-site
$123K - $169K/yr
Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment * Own model performance, latency, and cost trade-offs ...
San Francisco, CA · On-site
$123K - $169K/yr
Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment * Own model performance, latency, and cost trade-offs ...
San Francisco, CA · On-site
Operate with a high-ownership, high-output mindset - full-time, 6-7 days per week What We're Looking For Required * Proven track record leading AI research, product development, and building ...
San Francisco, CA · On-site
Operate with a high-ownership, high-output mindset - full-time, 6-7 days per week What We're Looking For Required * Proven track record leading AI research, product development, and building ...
San Francisco, CA · On-site
$140K - $180K/yr
Location This is a full-time, in-person role based in San Francisco, CA . Remote and hybrid arrangements are not available.
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San Francisco, CA · On-site
$140K - $180K/yr
Location This is a full-time, in-person role based in San Francisco, CA . Remote and hybrid arrangements are not available.
San Francisco, CA · On-site
$120K - $180K/yr
This is a full-time, in-office role in San Francisco . What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (noisy ...
San Francisco, CA · On-site
$120K - $180K/yr
This is a full-time, in-office role in San Francisco . What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (noisy ...
Based full-time in Munich, this is an on-site position. What You'll Do * Lead, coach, and develop a team of ~5 Account Executives to capture a large market opportunity across the DACH region. * Close ...
Based full-time in Munich, this is an on-site position. What You'll Do * Lead, coach, and develop a team of ~5 Account Executives to capture a large market opportunity across the DACH region. * Close ...
San Francisco, CA · On-site
$120K - $180K/yr
The focus is squarely on the intelligence layer - modeling, data pipelines, and inference - not the application UI. This is a full-time, in-office role based in San Francisco, CA. Candidates must be ...
San Francisco, CA · On-site
$120K - $180K/yr
The focus is squarely on the intelligence layer - modeling, data pipelines, and inference - not the application UI. This is a full-time, in-office role based in San Francisco, CA. Candidates must be ...
San Francisco, CA · On-site
$150K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, California . Remote work is not available.
San Francisco, CA · On-site
$150K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, California . Remote work is not available.
$120K - $180K/yr
Ability and willingness to work in-office in San Francisco full-time. * Must be eligible to work in the US (US citizen or valid work visa) - visa sponsorship is not available . Nice to Have:
$120K - $180K/yr
Ability and willingness to work in-office in San Francisco full-time. * Must be eligible to work in the US (US citizen or valid work visa) - visa sponsorship is not available . Nice to Have:
San Francisco, CA · On-site +1
You pick tools based on the problem, not preference Compensation & Details Work Arrangement: Full-time, founding-level role Location Remote or onsite options available
San Francisco, CA · On-site +1
You pick tools based on the problem, not preference Compensation & Details Work Arrangement: Full-time, founding-level role Location Remote or onsite options available
San Francisco, CA · On-site
$140K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, CA, USA . Candidates should be prepared to work in-office. The team operates in a high-intensity, high-ownership environment - ideal ...
San Francisco, CA · On-site
$140K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, CA, USA . Candidates should be prepared to work in-office. The team operates in a high-intensity, high-ownership environment - ideal ...
San Francisco, CA · On-site
$120K - $180K/yr
This is a full-time, in-office role in San Francisco . What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (noisy ...
Quick apply
San Francisco, CA · On-site
$120K - $180K/yr
This is a full-time, in-office role in San Francisco . What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (noisy ...
San Francisco, CA · On-site
$175K - $225K/yr
Candidates must be willing and able to work in-person full time. Remote or hybrid arrangements are not available for this position.
San Francisco, CA · On-site
$175K - $225K/yr
Candidates must be willing and able to work in-person full time. Remote or hybrid arrangements are not available for this position.
San Francisco, CA · On-site
$120K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, CA . In-person presence is required.
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San Francisco, CA · On-site
$120K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, CA . In-person presence is required.
Austin, TX · Remote
$90K - $150K/yr
Location This is a full-time, on-site role based in Austin, Texas, United States . Remote work is not available for this position.
New
Quick apply
Austin, TX · Remote
$90K - $150K/yr
Location This is a full-time, on-site role based in Austin, Texas, United States . Remote work is not available for this position.
New
San Francisco, CA · On-site
$75K - $120K/yr
This is a full-time, on-site role in Berlin where you'll drive deployment, automation, and secure operations across customer cloud environments. You'll work closely with both internal product ...
San Francisco, CA · On-site
$75K - $120K/yr
This is a full-time, on-site role in Berlin where you'll drive deployment, automation, and secure operations across customer cloud environments. You'll work closely with both internal product ...
Manhattan, NY · On-site
$200 - $350/hr
Candidates must be willing and able to work in-office full-time. Remote or fully-distributed arrangements are not available for this position. #J-18808-Ljbffr
Manhattan, NY · On-site
$200 - $350/hr
Candidates must be willing and able to work in-office full-time. Remote or fully-distributed arrangements are not available for this position. #J-18808-Ljbffr
San Francisco, CA · On-site
$150K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, California . Remote work is not available.
Quick apply
San Francisco, CA · On-site
$150K - $200K/yr
Location This is a full-time, on-site role based in San Francisco, California . Remote work is not available.
$120K - $180K/yr
Full-time
Re-posted 18 days ago
This is a founding AI engineering role at a seed-stage construction technology company building an intelligence layer that transforms messy blueprints, permits, and construction documents into actionable insights — making building more efficient and equitable. Backed by top-tier investors, the company is a small, high-conviction team applying state-of-the-art computer vision and multimodal AI to real construction workflows in areas like cost estimation and permitting, with direct impact on housing, hospitals, and schools.
You'll be one of the earliest technical hires, shaping the AI architecture and product direction from the ground up. This role is full-time, in-office in San Francisco — relocation-ready candidates are welcome.
What You'll DoApply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents.
Own and prioritize the intelligence layer — modeling, data pipelines, and inference — over application UI.
Rapidly prototype models and iterate based on user feedback and real-world data.
Build and deploy production AI systems that operate on noisy, heterogeneous inputs.
Collaborate closely with product and end users to surface and solve high-impact problems.
Handle practical engineering work as needed — including data labeling, ETL, and deployment tasks — as part of a small, scrappy team.
Communicate progress and tradeoffs with empathy and transparency across the team.
Applied computer vision and ML experience — hands-on model training and deployment in production environments.
0-to-1 builder mindset — experience launching AI systems or building core parts of a new product from scratch.
Familiarity with state-of-the-art CV, LLM, and multimodal model approaches and tooling.
Comfort iterating quickly and improving prototypes based on real user feedback.
Strong communication skills and a growth mindset; an honest, empathetic collaborator.
Willingness to roll up your sleeves for practical engineering work as part of a small, founding team.
Impact-driven orientation; ideally, prior experience building something people used or paid for.
US work authorization required — visa sponsorship is not available.
All experience levels considered, including new graduates with strong applied ML work.
Salary: $120,000 – $180,000 per year, depending on experience.
Early-stage equity as a founding team member.
Direct impact on the product roadmap and technical direction of the company.
San Francisco, CA — full-time, in-office. Candidates based in San Francisco or willing to relocate are encouraged to apply. Remote work is not available for this role.