Liquid AI Visa Sponsorship Jobs USA
Liquid AI is an AI research and development company building next-generation foundation models and infrastructure. The company sponsors H-1B visas and supports F-1 OPT and CPT transitions, making it a viable path for international candidates in machine learning, systems research, and applied AI roles.
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Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
We're building the product function that packages Liquid AI's technology into repeatable solutions for enterprise customers. You'll join our Product team and work directly with our technical leadership to define, package, and bring to market repeatable AI solutions. You'll collaborate daily with ML engineers, GTM leaders, and enterprise customers to understand what makes our technology valuable and how to deliver it efficiently. This is a high-ownership role where you'll treat your solution area like your own startup within the company.
What We're Looking For
We need someone with:
- Customer Obsession: Defaults to gathering signal from actual customers rather than hypothesizing. Writes down assumptions and validates them through direct customer feedback.
- Self-Direction: Proactively goes deep without being asked. Not satisfied with surface-level understanding. Comfortable navigating ambiguity and proposing solutions.
- Technical Fluency: Can engage credibly with ML engineers and researchers. Understands the nuances of deploying AI systems in production.
- Founder Mentality: Treats their solution area like their own startup. Takes ownership of outcomes across functions, from technical architecture to go-to-market strategy.
The Work
- Own one or more GTM-ready solutions end-to-end, from definition through scalable customer deployment
- Extract learnings from customer engagements and identify patterns that can be productized
- Work with ML and inference teams to build tooling that collapses implementation overhead
- Define ICPs, pricing, and packaging for repeatable solutions
- Partner with GTM teams to scale outbound sales motions around productized offerings
Must-have
Desired Experience
- Engineering, ML, or CS background with demonstrated technical fluency
- Track record of owning product strategy, not just executing on handed roadmaps
- Outbound product management experience with enterprise customers
- Direct experience gathering and acting on customer feedback to shape product direction
Nice-to-have
- Experience at an AI/ML company or working on AI-powered products
- Experience in relevant verticals (automotive, consumer electronics, life sciences, financial services)
- B2B experience with large enterprises, as well as mid-market
What Success Looks Like (Year One)
- Own one solution from definition to market launch, with a defined ICP and go-to-market motion
- Reduce implementation overhead for at least one solution
- Identify and document universal patterns across customer deployments that enable repeatability
What We Offer
- Full Ownership: You own your solution from customer discovery through deployment.
- Compensation: Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Financial: 401(k) matching up to 4% of base pay
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
About Liquid AI
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
We're building the product function that packages Liquid AI's technology into repeatable solutions for enterprise customers. You'll join our Product team and work directly with our technical leadership to define, package, and bring to market repeatable AI solutions. You'll collaborate daily with ML engineers, GTM leaders, and enterprise customers to understand what makes our technology valuable and how to deliver it efficiently. This is a high-ownership role where you'll treat your solution area like your own startup within the company.
What We're Looking For
We need someone with:
- Customer Obsession: Defaults to gathering signal from actual customers rather than hypothesizing. Writes down assumptions and validates them through direct customer feedback.
- Self-Direction: Proactively goes deep without being asked. Not satisfied with surface-level understanding. Comfortable navigating ambiguity and proposing solutions.
- Technical Fluency: Can engage credibly with ML engineers and researchers. Understands the nuances of deploying AI systems in production.
- Founder Mentality: Treats their solution area like their own startup. Takes ownership of outcomes across functions, from technical architecture to go-to-market strategy.
The Work
- Own one or more GTM-ready solutions end-to-end, from definition through scalable customer deployment
- Extract learnings from customer engagements and identify patterns that can be productized
- Work with ML and inference teams to build tooling that collapses implementation overhead
- Define ICPs, pricing, and packaging for repeatable solutions
- Partner with GTM teams to scale outbound sales motions around productized offerings
Must-have
Desired Experience
- Engineering, ML, or CS background with demonstrated technical fluency
- Track record of owning product strategy, not just executing on handed roadmaps
- Outbound product management experience with enterprise customers
- Direct experience gathering and acting on customer feedback to shape product direction
Nice-to-have
- Experience at an AI/ML company or working on AI-powered products
- Experience in relevant verticals (automotive, consumer electronics, life sciences, financial services)
- B2B experience with large enterprises, as well as mid-market
What Success Looks Like (Year One)
- Own one solution from definition to market launch, with a defined ICP and go-to-market motion
- Reduce implementation overhead for at least one solution
- Identify and document universal patterns across customer deployments that enable repeatability
What We Offer
- Full Ownership: You own your solution from customer discovery through deployment.
- Compensation: Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Financial: 401(k) matching up to 4% of base pay
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Job Roles at Liquid AI
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Get Access To All JobsTips for Finding Liquid AI Visa Sponsorship Jobs USA
Target research and engineering roles first
Liquid AI's sponsorship activity centers on technical talent in AI research, model development, and software infrastructure. Focus your application on roles where your background in machine learning, systems engineering, or applied AI aligns directly with the company's core work.
Understand which visa types Liquid AI supports
Liquid AI sponsors H-1B visas and works with F-1 OPT and CPT candidates. If you're currently on OPT or CPT, this is a realistic entry point, many AI startups use early-stage employment to build toward H-1B sponsorship down the line.
Time your application around H-1B cap deadlines
H-1B cap registrations open each March for an October 1 start date. If you're targeting Liquid AI sponsorship, aim to secure an offer well before February so your employer has time to prepare the filing before registration closes.
Highlight specialized AI expertise in your application
Liquid AI competes for a narrow pool of deep technical talent. Emphasize published research, specialized frameworks, or hands-on experience with foundation model training, the kinds of credentials that make H-1B specialty occupation justification straightforward for a company like this.
Use Migrate Mate to find verified sponsoring roles
AI startups can be hard to track for sponsorship history. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and identify open roles at companies like Liquid AI that have actually filed for work visas.
Engage early if you're on CPT
F-1 CPT authorization requires a formal offer and academic program alignment before work begins. If you're still in school, reaching out to Liquid AI's recruiting team early gives you time to coordinate the offer letter and CPT authorization before your intended start date.
Frequently Asked Questions
Does Liquid AI sponsor H-1B visas?
Yes, Liquid AI sponsors H-1B visas. As an AI research and development company, it hires for highly specialized technical roles in machine learning and systems engineering, positions that typically meet the H-1B specialty occupation standard. If you're targeting H-1B sponsorship, focus on roles where your technical background maps directly to the company's core research and product work.
Which visa types does Liquid AI support for international candidates?
Liquid AI sponsors H-1B visas and supports F-1 OPT and CPT work authorization. This makes the company accessible to international students still completing degrees as well as recent graduates working through their OPT period. Green Card sponsorship is not part of Liquid AI's recent filing history, so long-term permanent residence pathways are less established at this stage.
What types of roles at Liquid AI are most likely to receive visa sponsorship?
Sponsorship at Liquid AI is concentrated in technical disciplines: AI research, foundation model development, machine learning engineering, and software infrastructure. These are the roles that require specialized knowledge and satisfy H-1B specialty occupation requirements most clearly. Candidates with advanced degrees or deep hands-on experience in these areas are the strongest fit for sponsored positions.
How do I find open visa-sponsored jobs at Liquid AI?
Migrate Mate is the most direct way to find roles at companies like Liquid AI that have a verified visa sponsorship history. You can filter by company, visa type, and industry to surface positions where sponsorship is genuinely on the table, rather than relying on job postings that may not disclose immigration support upfront.
How do I improve my chances of getting sponsored at an AI startup like Liquid AI?
The clearest path is positioning yourself as a specialist, not a generalist. Liquid AI builds novel AI infrastructure, so applicants who can demonstrate deep technical expertise, published work, contributions to open-source AI projects, or experience with large-scale model training, are far more likely to receive an offer that includes sponsorship. Apply early relative to H-1B cap deadlines and be direct with recruiters about your visa situation from the first conversation.