104 Remote Machine Learning companies

Discover the best remote Machine Learning companies in the world. View a company's profile to learn about its mission, culture and values, tech stack, employee benefits, and open remote roles.

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104 companies

    Bottomless logo
    5 jobs available
    Number of employees

    11-50

    Tech stack

    49 tech stacks

    Bottomless is building the first sensor enabled marketplace for repeat purchases. To start, we are building the world’s first smart coffee subscription. This is just the beginning. Hard work. Ambitious goals must be met with uncommon effort. We do not believe hard work stands as a barrier to a good life, but that hard work itself is inherently meaningful. We don’t believe this is how every company should run, but this is how we run.

    Surge AI logo
    3 jobs available
    Number of employees

    11-50

    Tech stack

    32 tech stacks

    Surge AI is a data labeling platform for AI, built by a team from Google, Facebook, Airbnb, and Cruise. Customers like Google, Twitch, Stanford, etc use us to label millions of points every month to train their AI. We provide the tools and an elite workforce in 20+ languages, so that your engineers can stop building frontends, QA'ing workforces, and labeling data on their own. Our customers have measured massive wins: getting higher quality data 10x faster and doubling their ML performance through better data alone.

    Textile logo
    4 jobs available
    Number of employees

    1-10

    Tech stack

    27 tech stacks

    Textile is known for building simple yet powerful developer tools that extend three families of protocols: Libp2p, IPFS, and Filecoin. You can learn more about our tools by reviewing our documentation and checking out some of our GitHub organization. We are a fully open source company with a strong focus on community. Textile provides a set of tools and trustless infrastructure for building apps that harness decentralized protocols and return ownership of data to users.

    Cleo logo
    11 jobs available
    Number of employees

    51-200

    Tech stack

    7 tech stacks

    Light a candle for your bank – when you’re better informed, you’re harder to exploit. We launched in 2016 because banking is boring and broken, and are a ‘fast-growing start-up’ backed by the founders of Skype, Transferwise and Zoopla. In the past year (yes, mid pandemic) we’ve grown the team from 45 to 85, launched in North America, closed a $10m Series A led by Balderton Capital and helped over 3 million of you in the US, Canada and the UK feel better about your money.

    Veryfi logo
    5 jobs available
    Number of employees

    11-50

    Tech stack

    47 tech stacks

    Veryfi is automating bookkeeping, starting with automation of time & materials for architecture, engineering & construction (AEC) workforce. We help businesses of all sizes to get access to Veryfi’s smart mobile tools to eliminate 90% of time wasted doing data entry (& chasing records), improve job costing, and empower their financial prosperity. Veryfi was founded by Ernest Semerda and Dmitry Birulia, two engineers who previously helped take Coupons, Inc.

    Nightfall logo
    4 jobs available
    Number of employees

    11-50

    Tech stack

    34 tech stacks

    Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Join us — we’re hiring! At Nightfall (formerly known as Watchtower), we’re dedicated to helping enterprises secure and manage their sensitive data. Our team is a group of highly motivated technologists & security professionals working on one of the biggest problems in information security.

    Vahan logo
    0 jobs available
    Number of employees

    51-200

    Tech stack

    21 tech stacks

    Vahan is a technology company headquartered in Bangalore. Our product has been successfully deployed at leading organizations in sectors such as Retail, Hospitality, Healthcare and BFSI where engaging and supporting a large, distributed workforce is a challenge. We are backed by an illustrious set of investors such as Y Combinator, Khosla Ventures and Airtel.

    Hugging Face logo
    0 jobs available
    Number of employees

    51-200

    Tech stack

    52 tech stacks

    We've come a long way since we first open sourced PyTorch BERT in 2018 and are just getting started! 🙌 Machine learning is becoming the default way to build technology. When you think about your average day, machine learning is everywhere: from your Zoom background, to searching on Google, to ordering an Uber or writing an email with auto-complete --it's all machine learning. Hugging Face is now the fastest growing community & most used platform for machine learning!

    Newfront Insurance logo
    2 jobs available
    Number of employees

    201-500

    Tech stack

    56 tech stacks

    Newfront is a modern insurance brokerage that leverages technology to vastly simplify the buying process for clients and the selling process for brokers. Our experienced insurance brokers help our clients save money and find the right coverage for their risk. Newfront is the fastest-growing insurance brokerage in the US. From the Mayflower to the moon landing, every venture relies on insurance. The $1Trillion insurance industry is fundamental to our economy, but it has been slow to modernize.

    Flock Safety logo
    1 job available
    Number of employees

    51-200

    Tech stack

    38 tech stacks

    We build outdoor camera hardware and write machine-learning software for wireless security systems that automatically record the license plate of every car that drives through the neighborhood. If a crime occurs, give the police the evidence they need with Flock's wireless security camera. Within months of launching Flock, we helped solve our first crime and we knew we were onto something. Now, it's our greatest measure of success - are we able to help our customers when they need us most?

    Athenian logo
    2 jobs available
    Number of employees

    11-50

    Tech stack

    66 tech stacks

    Metrics & Insights for Modern Software Engineering Teams About AthenianAt Athenian we’re a team of kind-hearted, deeply curious, empathic individuals from all over the world. We are on a mission to make it easier for all of us to build better software, faster. There are lots of ways to tackle this, we want to make our contribution to the world by getting you to insight faster. We believe that by increasing visibility into the way you build software, we can help people iterate rapidly and more effectively.

    Proton logo
    2 jobs available
    Number of employees

    51-200

    Tech stack

    44 tech stacks

    Pioneering the intersection of distribution and AI. I grew up in distribution. My family has been in this industry ever since my great grandfather started a supply company in 1930. Some of my earliest memories are of tagging along on business trips with my Dad, just like he used to do with his Dad. But a few years ago, I realized that the industry was at risk. Distributors were struggling to keep up with technology-first disruptors, and many hardworking people were getting pushed out.

    Gong.io logo
    0 jobs available
    Number of employees

    201-500

    Tech stack

    57 tech stacks

    Gong enables revenue teams to realize their fullest potential by unveiling their customer reality. The patented Gong Revenue Intelligence Platform™ captures and understands every customer interaction, then delivers insights at scale, empowering revenue teams to make decisions based on data instead of opinions. Over 1,000 innovative companies like AutoDesk, Service Titan, KeepTruckin, Pinterest, LinkedIn, Hubspot and Drift trust Gong to power their customer reality.

    MartEye logo
    1 job available
    Number of employees

    1-10

    Tech stack

    17 tech stacks

    We help farmers simply and securely purchase livestock and machinery online.In the short time we have been operating, our flagship live video auction system has scaled to host over 9000 online sales viewed by over 500,000 people worldwide. With over 120,000 app downloads between android and iOS and close to €1 billion now traded through the platform. With no sign of growth slowing, we’ve been a big part of the story that has engendered long term change in how agricultural trade is carried out.We are a team of builders with deep experience in both hardware and software product development and are looking for new teammates who enjoy building product, are obsessively user-focused and want to work alongside us in shaping the culture of this fast-growing team.MartEye is a profitable company just at the start of it’s journey.

    Parknav logo
    3 jobs available
    Number of employees

    1-10

    Tech stack

    16 tech stacks

    API for on-street parking availability. Ai Incube's Parknav is an API for on-street parking availability. It has highest precision in market, and launched in a number of top brand automotive, telecom, mobility, and smart-cities. Its service now covers 1000+ cities in North America and Europe. Parknav uses artificial intelligence to know where there is open on-street parking in real-time. It is the only scalable solution that covers every street in a city, 24 hours a day, 7 days a week, for all types of on-street parking (free, metered and permit).

    Leena AI logo
    2 jobs available
    Number of employees

    51-200

    Tech stack

    19 tech stacks

    Leena AI is an autonomous conversational AI platform that helps enterprises better employee experience. With Leena AI, companies can eliminate the need for HR staff to work on tasks such as answering policy-related questions, knowledge management, generating employee documents on demand, and managing employee tickets so they can focus on high-value activities. Leena AI plays well with 20 plus platforms, including SAP SuccessFactors, ADP, Oracle, Workday and Microsoft Office 365, and companies like Nestle, Puma, AirAsia, Coca-cola, Lafarge Holcim and Abbott rely on the platform.

    Petal logo
    1 job available
    Number of employees

    51-200

    Tech stack

    33 tech stacks

    Responsible credit for the modern world. Petal is a simple, no-fee credit card that doesn't require a credit score. A credit card without any fees, that you can apply for without a credit history, that never tries to trick you, and gives millions of Americans access to credit who have previously been overlooked. That's the kind of credit card company we want to be – one that helps you build credit.

    Spocket logo
    0 jobs available
    Number of employees

    11-50

    Tech stack

    45 tech stacks

    Spocket is revolutionizing the world of eCommerce as we know it today. Because of Spocket, a mom from the United Kingdom, or a teacher from Saudi Arabia can start their own businesses with our platform. At Spocket, we are on a mission to empower millions of online entrepreneurs. This is why we wake up every day. Today, Spocket enables over 40,000 entrepreneurs across five continents to launch and scale their online stores.

    AssemblyAI logo
    2 jobs available
    Number of employees

    51-200

    Tech stack

    23 tech stacks

    AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data. Our ASR models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day.

    Phaidra, Inc. logo
    1 job available
    Number of employees

    11-50

    Tech stack

    20 tech stacks

    We use artificial intelligence (AI) to maximize the performance of large industrial systems where safety and uptime are paramount. Phaidra’s mission is to enable industry practitioners (i.e. the domain experts) to develop their own AI solutions. We believe that AI is a powerful technology with countless applications. However, it is also an exclusive technology — the benefits of AI are currently locked to the few companies with the resources and AI / software expertise to commercialize it.

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