Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Founding Lead AI Engineer image - Rise Careers
Job details

Founding Lead AI Engineer

Company Description

Foothill Ventures is a technology-focused venture fund based in Los Altos, California. We make pre-seed, seed (preferred), and A-round investments in startups across software, life science, and deep tech. We grew out of the TEEC Angel Fund, which made seed-stage, highly successful bets on companies like Zoom Communications, Carta, Plus.ai, WeRide.ai and Ginkgo Bioworks, all subsequent Unicorns.

We provide support to our portfolio companies in various areas, including recruiting and talent acquisition. This role is posted on our website for our portfolio companies.

Job Description

About our portfolio company ResiQuant: 

Across the globe, rapid urbanization and escalating climate change impacts are driving skyrocketing risks from disasters like earthquakes, hurricanes, and wildfires—yet exposed building inventories are unstandardized, static, and incomplete, preventing decision making across verticals, from public policy to real estate transactions. Decision today is made with incomplete and even wrong property information.

At ResiQuant, we're on a mission to empower insurers, financial institutions, and asset managers with AI systems trained on structural engineering domain knowledge that can fill in the gaps and provide engineering-relevant building characteristics.

Founded by Stanford PhDs, ResiQuant is driven by an unwavering commitment to protect communities and businesses from the devastating impacts of disasters. We believe that every organization deserves access to best-in-class property risk intelligence to build resilience against the storms to come—and we won't stop until this is the norm, not the exception.

Qualifications

As the Founding Lead AI Engineer in Computer Vision and Vision-Language Models, you work closely with the founders to design, develop, and deploy advanced AI models that harness the power of computer vision and vision-language capabilities to analyze building data through the lenses of a domain expert. You will lead and mentor a team of engineers, collaborating closely to drive innovations in AI, optimize model performance, and deliver robust, scalable solutions. This role requires a blend of technical expertise, hands-on leadership, and a strong desire to work hard and thrive in a fast-paced, dynamic environment.

Start date: Immediate

Responsibilities:

  • Technical Leadership: Drive the development and deployment of cutting-edge computer vision and vision-language models, ensuring alignment with company goals and industry best practices.
  • Team Management: Lead a team of engineers, fostering a collaborative and innovative culture, setting clear goals, and ensuring high-quality deliverables.
  • R&D and Innovation: Stay updated with the latest research in vision and vision-language models,
  • identifying and integrating new techniques and technologies to maintain a competitive edge.
  • Model Optimization: Ensure models are efficient, scalable, and optimized for performance across various applications and platforms.
  • Cross-Functional Collaboration: Work closely with the founders, product managers, data scientists, and other members of the team to align model development with business objectives and product requirements.

Qualifications:

  • Master's or Ph.D. in Computer Science, AI, or a related field with a specialization in computer
  • vision, NLP, or machine learning.
  • Minimum of 4 years of experience in computer vision and vision-language models.
  • Experience leading a team of engineers, with a track record of delivering successful AI projects
  • that involve fine-tunning, training, and deploying LLMs.
  • Expertise designing and implementing machine learning architectures using frameworks like
  • TensorFlow, PyTorch, or similar.

Technical Skills we're looking for:

  • Strong knowledge of computer vision algorithms, vision-language integration, and multimodal AI models.
  • Proficiency in Python and experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
  • Familiarity with image processing libraries, NLP libraries, and LLMs (both, open source and commercial).

What drives us:

  • Impact: we are driven by a shared mission to address a paramount challenge of our time
  • Resolve: we believe that hard work and resilience yield extraordinary outcomes
  • Urgency: we are motivated to outpace rapid urbanization and escalating disaster impacts

Why join RQ:

  • Opportunity to be involved in a seed-stage startup and contribute to the culture you want to see.
  • Chance to pioneer and disrupt one of the world's largest industries.
  • Experience firsthand the tangible impact of what you build.

Day to day:

  • Research and deploy architectures for AI systems trained on structural engineering and disaster risk domain expertise for classification tasks.
  • Participate in product ideation and development.
  • Interface with product managers, software development, and AI team to understand product goals and data needs.
  • Write, test, document, and review code according to RQ’s development standards that you would help define.

What we offer:

  • Competitive salary commensurate with experience
  • Equity in the company as an seed-stage member
  • Vibrant tech startup environment
  • Competitive company 401(k) program with company matching
  • Health insurance
  • Working on the challenge of our generation with other passionate people

Additional Information

Foothill Ventures is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. 

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Founding Lead AI Engineer, Foothill Ventures

Join ResiQuant as the Founding Lead AI Engineer in San Francisco, CA, and be part of a groundbreaking mission to transform the way organizations assess property risks amid escalating climate challenges. At ResiQuant, we believe that accurate property risk intelligence is crucial in empowering insurers, financial institutions, and asset managers to make well-informed decisions, and we're here to change the narrative. In this pivotal role, you will collaborate closely with our visionary founders and lead a team of talented engineers, shaping the development and deployment of advanced AI models centered on computer vision and vision-language integration. Your expertise will guide the design of scalable solutions, optimize model performance, and foster a culture of innovation and collaboration. With a strong emphasis on continuous learning, you’ll stay ahead in a dynamic industry by integrating cutting-edge research into our processes. A typical day may involve working on architectures for AI systems that cater to structural engineering risks, engaging in product ideation, and ensuring that your team adheres to optimal coding practices. If you possess a Master’s or Ph.D. in a relevant field and have a robust background in delivering successful AI projects, this is your chance to make a tangible impact. ResiQuant is not just about work; it's about joining a passionate team that is dedicated to addressing one of the paramount challenges of our time. Let’s build a resilient future together!

Frequently Asked Questions (FAQs) for Founding Lead AI Engineer Role at Foothill Ventures
What are the key responsibilities of the Founding Lead AI Engineer at ResiQuant?

The Founding Lead AI Engineer at ResiQuant plays a crucial role in technical leadership, driving the development and deployment of cutting-edge computer vision and vision-language models. This includes managing a team of engineers, staying up-to-date with the latest research, and optimizing models for performance across various applications. Close collaboration with founders and product managers ensures that the AI models align with the company's objectives.

Join Rise to see the full answer
What qualifications are needed for the Founding Lead AI Engineer position at ResiQuant?

Candidates for the Founding Lead AI Engineer role at ResiQuant should possess a Master's or Ph.D. in Computer Science, AI, or a related field, with a specialization in computer vision, NLP, or machine learning. Additionally, a minimum of 4 years of experience in the field, particularly in leading AI projects that involve fine-tuning and deploying LLMs, is essential.

Join Rise to see the full answer
What type of work environment can I expect as a Founding Lead AI Engineer at ResiQuant?

As a Founding Lead AI Engineer at ResiQuant, you can expect a vibrant tech startup environment that fosters innovation and collaboration. The company prioritizes a culture where hard work is recognized and every team member has the opportunity to influence the culture and direction of the organization, making it an exciting place to work.

Join Rise to see the full answer
What technologies should a Founding Lead AI Engineer at ResiQuant be proficient in?

The ideal Founding Lead AI Engineer at ResiQuant should have strong knowledge of computer vision algorithms and multimodal AI models. Proficiency in Python is necessary, along with experience using machine learning frameworks like TensorFlow or PyTorch. Familiarity with cloud platforms for model deployment, as well as image processing and NLP libraries, is also highly beneficial.

Join Rise to see the full answer
What are the growth opportunities for a Founding Lead AI Engineer at ResiQuant?

The growth opportunities for a Founding Lead AI Engineer at ResiQuant are significant, given that you will be involved from the ground up in a seed-stage startup. You will have the chance to shape the company's engineering culture, influence product direction, and contribute to meaningful projects that address critical global challenges.

Join Rise to see the full answer
Common Interview Questions for Founding Lead AI Engineer
What experience do you have with computer vision algorithms?

In answering this question, provide specific examples of projects where you've implemented computer vision algorithms. Discuss the challenges you faced and how you overcame them, showcasing your technical skills and problem-solving abilities within the context of past roles.

Join Rise to see the full answer
How have you led a team of engineers in past projects?

Share your leadership experiences, focusing on how you foster collaboration and set clear goals. Highlight scenarios where you've guided your team toward achieving successful outcomes, demonstrating your ability to lead and mentor effectively under pressure.

Join Rise to see the full answer
Can you detail your experience with vision-language models?

When discussing your experience with vision-language models, include details about specific projects you've worked on, the methods you applied, and the outcomes of those projects. This demonstrates your hands-on expertise and the value you can bring to ResiQuant.

Join Rise to see the full answer
What is your approach to optimizing AI models?

Describe your methodology for optimizing models, including specific techniques or tools you've used. Focus on how these optimizations have led to improved performance and efficiency in previous projects, aligning your approach with ResiQuant’s goals.

Join Rise to see the full answer
How do you stay current with AI research and trends?

Discuss the resources you utilize, such as academic journals, conferences, or online courses, to stay informed on AI research. Sharing personal examples of how you've applied new knowledge to projects will emphasize your commitment to professional growth.

Join Rise to see the full answer
Describe a challenging technical problem you've solved.

Provide a detailed overview of a technical challenge, outlining the context and the solution you implemented. Highlight the relevant skills you leveraged in this situation, showcasing your analytical skills and technical expertise.

Join Rise to see the full answer
What role do you prefer in a team environment?

Explain your preferred role while acknowledging the value of collaboration. Share instances where your role has led to increased team effectiveness, and express your flexibility to adapt to varying team dynamics while focusing on shared goals.

Join Rise to see the full answer
How do you handle tight deadlines?

Outline your strategies for managing high-pressure situations, such as prioritization techniques and effective communication. Emphasize your past success in completing projects under tight timelines while maintaining quality.

Join Rise to see the full answer
Can you provide an example of a successful AI project you've led?

Share a detailed account of an AI project where you played a key role. Focus on your leadership contributions, the technologies utilized, and the successful outcome, ensuring to relate the experience back to the Founding Lead AI Engineer role at ResiQuant.

Join Rise to see the full answer
What motivates you to work in the AI field?

Discuss your passion for AI and how it aligns with ResiQuant's mission to address challenges related to climate change and property risk. Sharing personal anecdotes about your journey in AI will make your response more relatable and engaging.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 7 days ago
Photo of the Rise User
Mission Driven
Social Impact Driven
Passion for Exploration
Reward & Recognition
Photo of the Rise User
Posted 8 days ago
Photo of the Rise User
Posted 10 days ago
Photo of the Rise User
Posted 7 days ago
Photo of the Rise User
Bosch Group Remote Otakaari 5, 02150 Espoo, Finland
Posted 10 days ago
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
LOCATION
No info
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
January 14, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!