
Hire the Top 3% of AI Engineers in 48 Hours
Hire AI engineers, developers, and programmers on demand. Top companies and startups choose AI engineers from Toptal for machine learning models, neural networks, natural language processing, computer vision, and more.
Toptal's work was a crucial milestone that enabled us to scale our engineering teams and systems in step with our rapid growth.
Mark Marcantano, Calm
Trusted by leading brands and startups
Meet AI Engineers in our Exclusive Network
Featured Talent

Robby Goetschalckx
AI Engineer
Robby is a machine learning expert with 10+ years of experience in research and back-end software development for machine learning solutions. With master's degrees in computer science and artificial intelligence in addition to his Ph.D. in computer science, Robby is well equipped to provide solutions to a variety of issues in companies of all sizes.

Darron Fuller
AI Engineer
Darron has 15 years of experience in R&D and client-facing roles as lead engineer of mission-critical artificial intelligence and machine learning and advanced analytics software for notable clients in global media, renewable energy industries, and the U.S. Department of Defense. Darron holds a BSc in computer science and an MSc in data analytics engineering with disciplines in AI and machine learning, decision optimization/mathematical modeling, and computational statistics.

François Le Lay
AI Engineer
François is a seasoned leader with experience building data platforms and machine learning solutions at major technology companies and startups in B2C and B2B settings. François has spent seven years at Spotify building data infrastructure teams as a manager and leveraging machine learning techniques to improve the music catalog as a staff engineer.

Martin Elias Costa
AI Engineer
Martin is an experienced data scientist with vast knowledge of machine learning and artificial intelligence. After completing his Ph.D. in physics, he has worked on a wide range of projects from both the private and public sectors. He has extracted meaningful insights throughout the years and created products leveraging data sources in the most varied formats, including images, geospatial data, structured databases, time series, and text.

Jared Cameron Stanley
AI Engineer
Jared has 10 years of experience in data science and machine learning, both as an IC and manager. He has served a wide range of clients, from startups to Fortune 500 companies across the defense, energy, healthcare, tech, and retail industries. Past projects include Gen AI content generation, Gen AI medical agent, outreach optimization through uplift modeling, development of a fully autonomous drone, and climate resiliency planning using machine learning.

Karla Brkić, Ph.D.
AI Engineer
Karla is a bilingual professional with a PhD in Artificial Intelligence and 10+ years of experience in developing outstanding computer vision, machine learning, and AI technologies as a dedicated research scientist. As a motivational leader, she thrives in building research agendas and managing complex projects to provide world-class products, systems, and platforms. She also forges lasting relationships and uses out-of-the-box thinking to drive cutting-edge research efforts.

Kartik Godawat
AI Engineer
Kartik is a senior full-stack AI engineer. His work seamlessly fuses software engineering and artificial intelligence, enabling him to develop smart, scalable, and impactful solutions. Kartik takes a keen interest in emerging technologies, integrating them into production-ready systems to give his clients a competitive edge. Staying ahead of the curve in the ever-evolving tech landscape is crucial for him.

Naoki Shibuya
AI Engineer
Naoki is a senior machine learning engineer with experience in PyTorch. He is passionate about deep learning training, and he worked on model quantization and neural architecture search for vision models. Naoki is also an experienced C++ programmer who has worked on real-time algorithmic trading systems.

Pawel Kaplanski
AI Engineer
Pawel is an experienced data-scientists and machine learning professional. He has worked for Fortune 100 companies, and he has an academic background in the field. Before moving to data science, he was a former lead architect in Samsung R&D Center. Pawel holds a Ph.D. in knowledge representation and reasoning as well as a master's degree and a bachelor of science degree in computer science.

Sheng Han Lim
AI Engineer
Sheng Han is a senior machine learning (ML) engineer with 10 years of experience in the research, development, and application of various ML, AI, and generative AI solutions. He has turned big data into valuable actions and has a demonstrated history of driving business efficiencies and cost reductions. Sheng is proficient in generative AI, prompt engineering, computer vision, natural language processing (NLP), anomaly detection, and prediction tasks.

Claudio Verdú Ruiz
AI Engineer
Claudio is an artificial intelligence engineer with a master's degree in AI and a certification in TensorFlow. He's passionate about learning—not only within AI but also generic software concepts and how to apply them to projects productively. Claudio feels especially comfortable working with deep learning and enjoys facing challenging projects that make him a better developer and problem solver.

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All of our talent are seasoned experts who ramp up quickly, readily contribute as core team members, and work with you to minimize onboarding time.
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We are so sure you will love your new team member that you can try working with them for a few days. Pay only if satisfied.
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Hire talent within 48 hours. Scale your team up or down exactly when you need it, no strings attached.
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We handle all aspects of billing, payments and NDAs. Let us take care of the overhead while you focus on building great products.
Flexible Engagements
Choose the engagement type that suits your needs – hourly, part-time, or full-time – with the ability to change anytime.
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Focus on your project and enjoy support from your dedicated account executive and expert talent matcher.
Our Developer Screening Process
26.4%Pass Rate
Excellent technical communication
7.4%Pass Rate
Core skills and algorithms
3.6%Pass Rate
Proactive problem-solving
3.2%Pass Rate
End-to-End project execution
3%Pass Rate
Continued excellence
Try Talent Before You Hire
We have a 98% trial-to-hire success rate.
Up to two weeks to try talent and evaluate if they’re the right fit
No obligation to pay or hire at the end of the two weeks
Get an alternative candidate quickly if you’re not satisfied
Why Organizations Choose Toptal®

Toptal gave us access to the best designers out there, saving us a lot of time and allowing us to build the best possible product.
Thierry JakircevicGeneral Manager, Digital Solutions, Bridgestone

Toptal’s talent is really excellent. They are able to work through large business problems and code incredibly efficiently.
Emily LemonSenior Director, Cleveland Cavaliers

The kind of people we looked for were hard to find. Toptal helped us achieve our goals by bringing high quality resources to bear on very short notice.
Elmar PlatzerDigital Transformation Leader, CSR

If you’ve tried working with other vendors, Toptal is going to be a different type of company to work with; they’re going to meet you where your needs are.
Matthew SchumacherSenior Product Manager, Alpha - Precision Drilling
Top AI engineers are in high demand. Ready to get started?