Retell AI Visa Sponsorship Jobs USA
Retell AI operates in the Science & Research space, building AI-powered voice agent infrastructure. The company has demonstrated willingness to sponsor skilled foreign nationals through the H-1B visa program, making it a viable target for international candidates pursuing technical roles in the AI industry.
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Get Access To All JobsAbout Retell Ai
Retell AI is using the first principles to reimagine the call center with cutting edge voice AI. Since launching 18 months ago, thousands of companies now utilize Retell’s AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we have scaled to $36M ARR with a team of 20 people, up from $5M at the start of 2025. Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we’re creating intelligent AI “workers” that can act as frontline agents, QA analysts, and managers — continuously executing, monitoring, and improving customer interactions. We’re growing quickly and looking for ambitious builders who want to tackle hard technical problems, move fast, and have real impact at one of the fastest-growing voice AI startups. Let’s build the future together.
- We’re a top 50 AI app in a16z list: https://tinyurl.com/5853dt2x
-
4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025
- We're also one of the top ranking startups on: https://leanaileaderboard.com/
About The Role
This is a research-driven, high-impact role for ML researchers who want to push the boundaries of real-time AI. As a Founding Machine Learning Research Engineer at Retell, you’ll focus on advancing model capabilities for human-like voice agents operating in complex, real-world environments. You’ll explore new approaches across LLMs and audio models, design novel evaluation methods, and prototype systems that improve reasoning, latency, and conversational quality. Your work will directly influence production systems, bridging cutting-edge research with real-world deployment. If you’re excited about solving open-ended ML problems, experimenting rapidly, and shaping how voice AI systems think and perform, this is a unique opportunity to do so at scale.
Key Responsibilities
- Research & Experimentation – Explore and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time systems.
- Model Prototyping – Rapidly build and iterate on experimental models and pipelines, turning research ideas into working prototypes.
- Evaluation & Benchmarking – Design novel evaluation frameworks, datasets, and metrics to measure performance on complex, real-world voice tasks.
- Bridge Research to Production – Collaborate closely with engineering to translate research insights into deployable systems.
- Human Feedback Loops – Develop methods to incorporate human evaluation into model improvement, especially for subjective conversational quality.
- Advance the Frontier – Stay at the cutting edge of ML research and bring new ideas into Retell’s product and infrastructure.
YOU MIGHT THRIVE IF YOU
- Strong ML Research Background – You’ve worked on advanced ML problems (for example: LLM pre-training and post training, transcription model training, text to speech model training, or multimodal systems), either in industry or academia.
- Deep Technical Foundation – Comfortable with PyTorch, model architectures, and the math behind modern machine learning.
- Experimental Mindset – You enjoy exploring open-ended problems and iterating quickly on ideas.
- Bridging Theory & Practice – You can translate research into systems that work in real-world environments.
- Startup-Ready – You thrive in fast-paced environments with high ownership and ambiguity.
- Collaborative & Clear Communicator – You can explain complex ideas and work cross-functionally to drive impact.
JOB DETAILS
- Cash: $225,000 - $400,000 base salary
- Equity: Offers Equity
- Location: Redwood City, CA, US (100% Relocation Provided)
- US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.
Other Benefits
- 100% coverage for medical, dental, and vision insurance
- $70/day DoorDash credit for unlimited meals and snacks
- $200/month wellness reimbursement
- $300/month commuter reimbursement
- $75/month phone bill reimbursement
- $50/month internet reimbursement
Compensation Philosophy
- Best Offer Upfront: Choose from three cash-equity balance options, no negotiation needed
- Top 1% Talent: Above-market pay (top 5 percentile)
- High Ownership: Small teams, >$1M revenue/employee, significant equity
- Performance-Based: Offers tied to interview performance, not past salaries
INTERVIEW PROCESS
- Talent Screen (15min): chat with our recruiter to get a better sense of the role, the team, and what it’s like to work here.
- Technical Interview (45 min): LLM theory specific coding Interview (PyTorch)
- Technical Interview (45 min): Live Practical Systems Design and Coding Interview.
- Onsite/Virtual Interviews (3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:
+ ML System Design
+ ML Question Deep Dive
+ Backend + AI Practical
About Retell Ai
Retell AI is using the first principles to reimagine the call center with cutting edge voice AI. Since launching 18 months ago, thousands of companies now utilize Retell’s AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we have scaled to $36M ARR with a team of 20 people, up from $5M at the start of 2025. Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we’re creating intelligent AI “workers” that can act as frontline agents, QA analysts, and managers — continuously executing, monitoring, and improving customer interactions. We’re growing quickly and looking for ambitious builders who want to tackle hard technical problems, move fast, and have real impact at one of the fastest-growing voice AI startups. Let’s build the future together.
- We’re a top 50 AI app in a16z list: https://tinyurl.com/5853dt2x
-
4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025
- We're also one of the top ranking startups on: https://leanaileaderboard.com/
About The Role
This is a research-driven, high-impact role for ML researchers who want to push the boundaries of real-time AI. As a Founding Machine Learning Research Engineer at Retell, you’ll focus on advancing model capabilities for human-like voice agents operating in complex, real-world environments. You’ll explore new approaches across LLMs and audio models, design novel evaluation methods, and prototype systems that improve reasoning, latency, and conversational quality. Your work will directly influence production systems, bridging cutting-edge research with real-world deployment. If you’re excited about solving open-ended ML problems, experimenting rapidly, and shaping how voice AI systems think and perform, this is a unique opportunity to do so at scale.
Key Responsibilities
- Research & Experimentation – Explore and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time systems.
- Model Prototyping – Rapidly build and iterate on experimental models and pipelines, turning research ideas into working prototypes.
- Evaluation & Benchmarking – Design novel evaluation frameworks, datasets, and metrics to measure performance on complex, real-world voice tasks.
- Bridge Research to Production – Collaborate closely with engineering to translate research insights into deployable systems.
- Human Feedback Loops – Develop methods to incorporate human evaluation into model improvement, especially for subjective conversational quality.
- Advance the Frontier – Stay at the cutting edge of ML research and bring new ideas into Retell’s product and infrastructure.
YOU MIGHT THRIVE IF YOU
- Strong ML Research Background – You’ve worked on advanced ML problems (for example: LLM pre-training and post training, transcription model training, text to speech model training, or multimodal systems), either in industry or academia.
- Deep Technical Foundation – Comfortable with PyTorch, model architectures, and the math behind modern machine learning.
- Experimental Mindset – You enjoy exploring open-ended problems and iterating quickly on ideas.
- Bridging Theory & Practice – You can translate research into systems that work in real-world environments.
- Startup-Ready – You thrive in fast-paced environments with high ownership and ambiguity.
- Collaborative & Clear Communicator – You can explain complex ideas and work cross-functionally to drive impact.
JOB DETAILS
- Cash: $225,000 - $400,000 base salary
- Equity: Offers Equity
- Location: Redwood City, CA, US (100% Relocation Provided)
- US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.
Other Benefits
- 100% coverage for medical, dental, and vision insurance
- $70/day DoorDash credit for unlimited meals and snacks
- $200/month wellness reimbursement
- $300/month commuter reimbursement
- $75/month phone bill reimbursement
- $50/month internet reimbursement
Compensation Philosophy
- Best Offer Upfront: Choose from three cash-equity balance options, no negotiation needed
- Top 1% Talent: Above-market pay (top 5 percentile)
- High Ownership: Small teams, >$1M revenue/employee, significant equity
- Performance-Based: Offers tied to interview performance, not past salaries
INTERVIEW PROCESS
- Talent Screen (15min): chat with our recruiter to get a better sense of the role, the team, and what it’s like to work here.
- Technical Interview (45 min): LLM theory specific coding Interview (PyTorch)
- Technical Interview (45 min): Live Practical Systems Design and Coding Interview.
- Onsite/Virtual Interviews (3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:
+ ML System Design
+ ML Question Deep Dive
+ Backend + AI Practical
Job Roles at Retell AI
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Get Access To All JobsTips for Finding Retell AI Visa Sponsorship Jobs USA
Target technical roles aligned with AI research and infrastructure
Retell AI's H-1B sponsorship history centers on specialized technical work. Focus your application on roles in machine learning, voice AI, backend engineering, or research, positions where a specific degree and domain expertise are clearly required.
Demonstrate specialty occupation credentials upfront
H-1B approval depends on proving the role requires a specific degree. When applying to Retell AI, lead with your relevant credentials, not just general experience. Match your degree field directly to the technical requirements listed in the job description.
Research Retell AI's product before reaching out
Retell AI builds voice AI infrastructure for developers. Candidates who understand the product stack, real-time conversation APIs, latency optimization, LLM integration, will stand out. Technical familiarity signals genuine interest and reduces employer risk in sponsoring you.
Approach hiring early in the H-1B cycle
H-1B cap-subject petitions must be filed in April for an October start. Engage Retell AI's hiring team by January or February at the latest, so there's enough lead time for petition preparation. Late outreach often means missing the filing window entirely.
Find verified Retell AI openings through Migrate Mate
Confirmed sponsors are harder to identify than most job seekers expect. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you prioritize Retell AI and similar companies over employers who rarely file for international candidates.
Be transparent about your visa situation from the first conversation
Retell AI is a smaller company, so sponsorship decisions involve real cost and legal coordination. Disclosing your visa needs early, and showing you understand the H-1B process, builds trust and signals you won't create surprises late in the hiring process.
Frequently Asked Questions
Does Retell AI sponsor H-1B visas?
Yes, Retell AI sponsors H-1B visas. The company operates in the Science & Research space and has a track record of filing H-1B petitions for skilled foreign nationals in technical roles. While Retell AI is not among the highest-volume sponsors, its willingness to file makes it a legitimate target for international candidates pursuing roles in AI and voice technology.
Which roles at Retell AI are most likely to receive visa sponsorship?
Retell AI's sponsorship activity is concentrated in technical positions that clearly meet the H-1B specialty occupation standard, roles requiring a specific degree in a related field. Software engineers, machine learning researchers, and infrastructure engineers are the most likely candidates. General business, sales, or operations roles are less commonly sponsored, particularly at smaller AI companies.
How do I know if Retell AI is actively hiring sponsored roles right now?
Retell AI's open positions and sponsorship-eligible roles can shift quickly given its stage as a company. The most reliable approach is checking Migrate Mate, which tracks verified sponsors and surfaces current openings filtered by real sponsorship history. This saves time compared to sifting through listings where sponsorship availability is unclear.
What is the typical timeline for an H-1B application if I get an offer from Retell AI?
The H-1B cap lottery opens in March, with petitions filed in April and employment starting October 1 if selected. You'll need to secure your offer and complete sponsorship paperwork well before the March registration window. From offer to potential work start, the process can take six months or longer, so early planning with your hiring contact is essential.
How do I strengthen my application to Retell AI as a visa-requiring candidate?
Lead with your technical credentials and domain expertise in AI or voice systems, Retell AI's core product requires deep specialization. Be upfront about your visa requirements early in the process, show familiarity with H-1B timelines so the employer knows what's involved, and apply for roles where your degree field maps directly to the job requirements, which is critical for specialty occupation qualification.