Our Native AI platform adapts to each student's needs, helping them learn faster and enjoy school more

Athena

Honored to be a part of this AI project, and looking forward to bringing tremendous AI projects into the world.

Advisor

We help your Generative AI company create a world-class research team through academically informed headhunting, best hiring practices, team building and cultural expertise, and a focus on DEI.  If you have

AmadeusSearch

We help your Generative AI company create a world-class research team through academically informed headhunting, best hiring practices, team building and cultural expertise, and a focus on DEI. If you have recently received funding and you want to build the best research team to enhance or create your product, reach out to become an Amadeus Partner.

Founder

All successful companies have one thing in common: great people. While most experts suggest that founders spend 40% of their time recruiting; we'd like to take sourcing and recruitment off of your plate. Prepay search credits are available for purchase to begin your search process. 

Our Passion

The future of Data, Web3, and the quantitative sciences is our passion. We love speaking to the brightest minds in Data Science, Machine Learning, Crypto Currency, and the many iterations of Web3 that are forthcoming. We are committed to finding, engaging, and maintaining career-long relationships with talent that will become leaders in the future of technology. 

Our Methodology

Our methodology is a combination of automated searching and classical headhunting. We thoroughly vet every candidate we submit to our clients. When you purchase a search credit an expert recruiter will reach out to you to schedule a kick-off call. We will work with you to determine the best job description, salary band, and market approach. Then, we will reach out to our existing network of candidates for preliminary phone interviews. 

We create a market map for your firm, and take a traditional headhunting approach, while simultaneously using automated research tools to engage harder-to-find candidates. 

Search Credits

A search credit correlates to one hire. There are no additional fees for hiring. Search credits never expire and can be rolled on to different hiring needs if your hiring needs change. They must be purchased before a search commences.

Why Use a Flat Fee Model?

Our flat-fee approach allows us to engage a diverse and inclusive slate of candidates and advise candidly on market salary.

Welcome to the Michael Page global company profile.

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents. 

While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Our teams are broken down to focus on industry, assignment type, salary level and location, so your hiring requirements or job search will all be handled by a specialist who knows your sector inside-out. We are confident that our expertise can add value to your recruitment or job search process – get in touch to find out more.

Michael Page

Senior Recruiter

Justine Beirne

Kumail N

Vivin Peris

MagicForm is the world's easiest-to-train AI and the only one that gets smarter with every conversation it has. It's currently trusted by 2200+ small businesses globally (we're growing 33% week over week!) and increases your conversions 20-40% by hiring and training a AI that's on a mission to turn your website visitors into eager customers through 24/7 live chat.



MagicForm

Your customers want to be heard, not herded. Throw the infuriating chatbots and painful hold times away. Level up your customer experience and increase your conversions with MagicForm today.

We're looking for a Senior Software Engineer who will join the CEO and CTO (both technical) to help accelerate MagicForm's development

Some of the candidate's responsibilities will include writing clean, high-quality, high-performance, maintainable Python and Javascript Code.

Senior Software Engineer

We're willing to sponsor visa for the right candidates!

This is an in person role in San Francisco. We're ideally looking for candidates who are already located in SF

Todd G. Bell

Latent Studio makes the creation of professional quality product photos 10x cheaper & faster for e-commerce businesses and DTC brands through the use of text-to-image diffusion models, controlnets, LoRAs, upscalers, and other proprietary machine learning models. We’ve raised $3.4mm in funding from investors like Hack VC, Soma Capital, and Pioneer Fund.

Our Primary Machine Learning Objective: Tame the beast that is the text-to-image diffusion model by establishing fine-grained control over the image generation process, immaculate photorealism, and superhuman prompt-understanding.   

Achieving these goals involves solving novel machine learning challenges that push beyond the existing research frontier. For those initiated in text-to-image diffusion models, challenges like preserving text, fine-grained details, improving image photorealism, and achieving accurate multi-subject compositions in raw generated outputs will be familiar. We tackle these challenges every day, and want to work with ML Researches who are similarly excited about solving them!

Commercial photography is undergoing massive change. Using Latent Studio, any business can  conduct a professional photoshoot workflow from their computer, produce images that match the quality of those used by the biggest brands in the world, and scale their content creation process at virtually zero marginal cost.

Latent Studio (YC S20)

Our Primary Machine Learning Objective: Tame the beast that is the text-to-image diffusion model by establishing fine-grained control over the image generation process, immaculate photorealism, and superhuman prompt-understanding.   

Achieving these goals involves solving novel machine learning challenges that push beyond the existing research frontier. For those initiated in text-to-image diffusion models, challenges like preserving text, fine-grained details, improving image photorealism, and achieving accurate multi-subject compositions in raw generated outputs will be familiar. We tackle these challenges every day, and want to work with ML Researches who are similarly excited about solving them in this role!


Machine Learning Researcher

We are willing to sponsor visas if the candidate is truly exceptional

In the late 90’s, humanity started contributing to a central store of all human knowledge — the internet. The internet back then was made up mostly of text, and to that end search engines like Google indexed it all — literally putting all human knowledge at people’s fingertips.

20+ years later, we’re at a crossroads where richer data types are being used to store human knowledge. 80% of the internets IP traffic today is video. Apps like TikTok have exploded, smart cameras exist almost everywhere from homes, to farms, construction sites, offices, retail stores, and warehouses, and we’ve been ushered into a new age of collaborative, creative tools with experiences such as Figma.

Unlike twenty years ago, human knowledge exists in more places and forms than ever. And every developer and company trying to build a new magical experience is left setting up AI / ML infrastructure, wondering why they have to manage datasets, and figuring out how to process, structure, search, and deliver resulting data to an end application.

Sieve’s mission is to build the core infrastructure needed to process, understand, and search the rich data — so developers can ship magical experiences faster. And video is just the start.

Co-Founder, CEO

Sieve (YC W22)

Ship powerful AI features, fast.

Stop worrying about complex infrastructure and broken tools. Leverage the latest and greatest models, while collaborating with your entire team.

You will work on all parts of the stack with technologies like Go, Redis, Kubernetes, Red Panda, Docker, React, and more. You should also love staying up to date with the latest and greatest in ML and will build workflows that are generally useful as templates that’ll exist within the Sieve product from time to time.

Engineer (Full Stack / ML)

We can sponsor visa for the right candidate!

We work fully in-person in downtown San Francisco

Tosh Rayadhurgam

Machine Learning is the biggest gold rush of the 21st century. Companies are leveraging Machine Learning in all kinds of use-cases from driving cars, developing vaccines, and detecting cancer. Yet, deploying Machine Learning is a time-intensive and technical process, creating a high barrier of entry for most companies.Banana makes deploying Machine Learning as simple as an API. Similar to what Stripe did for the payments world, Banana is doing for Machine Learning. ML is becoming a necessary part of any business. We’re seeing this first-hand as we're experiencing explosive growth and we’d love for you to join us!

Co-Founder

Banana

We're looking for a Machine Learning Engineer (infra hacker) who has scaled ML systems to 1M + users, is willing to go deep in the weeds on r&d, cares a ton about how backend systems work, has worked on large systems but executes like a startup, fast, ships and iterates. 

Machine Learning Infra Engineer

If candidate needs Visa assistance, we are more than happy to start them remotely and sponsor the visa process 🇺🇸 

Our goal would be for the candidate to join us in-person in San Francisco, due to the higher bandwidth communication it allows. We’re working on hard problems, and the communal feeling of being together will help push us through. Willing to discuss some kind of hybrid arrangement if needed.

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