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Inovia Capital Jobs (NOW HIRING)

Hum AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like ...

Hum AI

AI Researcher

San Francisco, CA · On-site

Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like ...

Spellbook

Compliance Analyst, US Compliance Programs

$144K - $180K/yr

We are backed by leading investors including Khosla Ventures, Thomson Reuters Ventures, Inovia Capital, The LegalTech Fund, Bling Capital, and Moxxie Ventures. The company recently raised $50 million ...

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Inovia Capital information

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$115.5K

$313.5K

$396.5K

How much do inovia capital jobs pay per year?

As of Jun 13, 2026, the average yearly pay for inovia capital in the United States is $313,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $274,000.00 and $353,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an analyst at Inovia Capital, and how do they contribute to the investment process?

As an analyst at Inovia Capital, you will be responsible for sourcing and evaluating potential investment opportunities, conducting market and industry research, and supporting due diligence efforts. Analysts work closely with associates and partners to help assess startups, prepare investment memos, and monitor portfolio companies. This role offers significant exposure to deal flow and the decision-making process in venture capital, providing valuable experience for those seeking to advance within the investment field.

What is Inovia Capital and what do they do?

Inovia Capital is a venture capital firm that invests in technology startups, primarily across North America and Europe. They provide funding, mentorship, and strategic guidance to early and growth-stage companies, helping entrepreneurs scale their businesses. Inovia's portfolio includes companies in various sectors such as software, fintech, health tech, and more. The firm is known for its hands-on approach and long-term partnership with founders.

What is the difference between Inovia Capital vs Venture Capital Analyst?

AspectInovia CapitalVenture Capital Analyst
CredentialsTypically requires a degree in finance, business, or related fields; often an MBA or CFA is a plusSimilar credentials; degrees in finance, economics, or business are common; CFA may be preferred
Work EnvironmentFast-paced, startup-focused, collaborative team environment within a venture capital firmOffice-based, research-intensive, supporting investment decisions in startups and emerging companies
Employer & IndustryVenture capital firms like Inovia Capital investing in tech startupsVenture capital firms, investment banks, or consulting firms focusing on startup investments

While both roles involve evaluating startup investments, Inovia Capital is a specific venture capital firm, whereas a Venture Capital Analyst is a role found across many firms. The analyst supports investment decisions through research and analysis, often working within firms like Inovia Capital.

What are the key skills and qualifications needed to thrive as a Venture Capital Analyst at Inovia Capital, and why are they important?

To succeed as a Venture Capital Analyst at Inovia Capital, you need strong analytical abilities, financial modeling expertise, and a background in finance, business, or related fields. Familiarity with tools like Excel, PitchBook, and CRM systems, as well as knowledge of investment evaluation processes, is essential. Exceptional communication, critical thinking, and networking skills help you build relationships and identify promising investments. These competencies enable analysts to effectively assess startups, support investment decisions, and contribute to Inovia Capital’s portfolio growth.
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What job categories do people searching Inovia Capital jobs look for? The top searched job categories for Inovia Capital jobs are:
Inovia Capital jobs near you
Infographic showing various Inovia Capital job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 51% Part Time, 3% Temporary, 43% Contract, and 1% Nights. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $313,495 per year, or $150.7 per hour.

Senior Machine Learning Engineer

Hum AI

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Posted 5 days ago

Job description

Senior Machine Learning Engineer
Location: San Francisco
About Hum.ai
Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building.
Join us at the cutting edge, where we're scaling generative transformer diffusion models, designing next-gen benchmarks, and engineering foundation models that go far beyond LLMs. You'll be at the core of a moonshot journey to define what's next in agentic AI and frontier model capabilities.
We are looking for an experienced Senior Machine Learning Engineer who is eager to advance the frontier of AI, help us design, build, and scale end-to-end novel foundation models, and leverage their hands-on experience implementing a wide range of pre-training and post-training models, including large foundation models (beyond just LLM fine-tuning).
This role is focused on:
  • Designing, implementing, and scaling state-of-the-art models
  • Productionizing research codes, models and technologically complex systems
  • Shaping benchmark design and model evaluation frameworks
  • Building agentic AI capabilities and long-term technical bets

Who are we?
Hum is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.
What do we do?
We're building multimodal foundation models for the natural world. We believe there's more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.
About the role
The role will involve:
  • Collaborating with researchers and scientists to implement, evaluate and scale proof-of-concept models.
  • Owning, implementing and integrating the latest state-of-the-art methods and external open-source codes.
  • Develop AI systems capable of accurately understanding the universe and generating new knowledge.
  • Training multi-modal models supporting different sensor and other modalities like text

Requirements
  • Bachelor's degree in computer science, engineering, a related field, or equivalent experience.
  • 5+ years of relevant work experience.
  • Prior experience building distributed training pipelines for multi-node systems using PyTorch and Ray.
  • Experience training large diffusion or transformer models. Preferably on video or time series data.
  • Proficiency with Python, Ray Trainer, PyTorch, and Anyscale framework.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

Nice to have
  • Past training of video or time-series models
  • Startup experience, comfortable with a small dynamic team.
  • Location wise, strong preference for in-person in Waterloo or San Francisco however remote work is possible for exceptional candidates.

Apply