Hire the Top 2% of
Remote Machine Learning Research Developers
Your trusted source for top remote Machine Learning Research developers, including expert programmers, engineers, freelancers, and consultants — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
$0 until you hire2,320 Remote Machine Learning Research developers available to hire:
Vetted Machine Learning Research developer in Spain (UTC+1)
Accomplished Artificial Intelligence Lead with over eight years of progressive experience in software engineering, specializing in AI-driven solutions for marketing and sales ecosystems. Expert in leading cross-functional teams to innovate and implement AI tools that enhance operational efficiency. Currently spearheading a research and development team focused on creating bespoke machine learning models to optimize marketing strategies and sales processes. Holds a robust academic background with ongoing Ph.D. research in computer vision and machine learning applications. Proven track record in project management, having successfully developed and deployed a pioneering framework integrating differential privacy, in-database machine learning, and federated learning. Proficient in Python, C++, and Rust, with extensive experience in managing complex data systems and adapting new technologies to meet business needs. Committed to leveraging artificial intelligence to drive digital transformation and achieve business excellence in the global market.
Vetted Machine Learning Research developer in Portugal
I am a dynamic and accomplished Technical Project Manager and a leader in Computer Vision Research with a rich background in Control and Automation Engineering and Data Processing/Information Technology. Graduating from CEFET-RJ in 2019 and holding a technical degree from Colegio Betel since 2012, my journey in the tech world has been marked by relentless pursuit of innovation and excellence. Before joining dtLabs (formerly Daedalus) in June 2021, I applied my expertise in computer vision and automation to revolutionize operations within a law office, automating document reading and parsing to optimize office procedures significantly. My dedication and innovative approach quickly propelled me from a Junior Computer Vision Research Engineer to a Tech Lead in Computer Vision Research by March 2022, and eventually to a Technical Project Manager in April 2023. My tenure at dtLabs has been distinguished by spearheading projects that involve training, customizing, improving, pruning, and deploying machine learning models across various platforms, including NVIDIA Jetson, iOS, and Android. I am proficient in an array of programming languages and technologies such as Python, Swift, C++, Java, Objective C++, CoreML, TensorRT, PyTorch, CuPy, Numpy, TensorFlow, and ONNX, allowing me to deliver cutting-edge solutions that drive progress and efficiency. During my academic years, I engaged in research focused on Kernel Methods applied to Computer Vision, specifically in facial keypoints detection. This experience not only honed my technical skills but also instilled a deep appreciation for the power of research and innovation in solving real-world challenges. As a leader, I am committed to fostering a culture of collaboration, innovation, and continuous learning within my team. I believe in empowering my colleagues by providing them with the tools and knowledge needed to succeed, while also encouraging an environment where creativity and innovation flourish. I am always eager to connect with fellow professionals, share insights, and explore new opportunities for growth and collaboration. Let's leverage technology to create smarter, more efficient solutions for the future.
Vetted Machine Learning Research developer in Canada (UTC-4)
Having spent over a decade as a cyber security professional, in various technical roles, I now work as a freelancer offering generative artificial intelligence (GenAI), machine learning and data science services to clients across many industries. Whether you are looking to build projects using large language models (LLM) or neural network-based classification systems or conduct predictive modelling, my goal is to help you make better data-driven, evidence-based business decisions. A geek at heart and an eternal student, I am a firm believer that science and technology can provide solutions to all problems. From pharmacology to environmental sustainability to the loneliness epidemic, AI and automation have the potential to eradicate the major ills plaguing the world. Yes, I, for one, unironically welcome our robot overlords! When I am away from the keyboard, I like to dabble in Go, a game I was inspired to learn after the release of the AlphaGo documentary. I also enjoy nature walks and discovering new cuisines. If you are interested in a conversation on how we can work together to engage your data for your business needs, please do reach out with a quick hello! E-mail: fzhang@exoins.com
Vetted Machine Learning Research developer in Australia (UTC+11)
Detail-oriented master in Computer Science, experienced in the complete life cycle of projects ranging from hardware, firmware and software development. A dynamic and fast-learner professional, eager to bring efficient, innovative, and reliable solutions to every project.
Vetted Machine Learning Research developer in Spain (UTC+1)
I am a Senior Software Engineer with experience in full-stack development, project leadership, AI implementation, and system architecture design. I have worked on innovative marketplace projects and mobile app development.
Vetted Machine Learning Research developer in Mexico (UTC-6)
With over 5 years of AI/ML and Software Engineering experience, I specialize in delivering advanced AI solutions, including real-time, low-latency and scalable services. I have built ML systems that increased users efficiency by 50%. Passionate about driving AI innovation and providing impactful insights.
Vetted Machine Learning Research developer in the United States (UTC-4)
Dynamic software architect & leader with a proven track record of impact in enterprise, startup, and deep tech teams. Skilled in building high-availability solutions and core AI tech from edge to distributed systems. An experienced and engaged software engineer having a strong customer focus, I am an expert at breaking down and solving complex software problems across the full stack and multiple domains. I thrive on collaboration with my team, and take pride in my ability to clearly communicate with stakeholders and customer, while mentoring junior engineers and continuously improving team velocity. Because of my broad/deep full-stack experience with focus on backend (including machine learning and data pipelines), combined with my superpowers of building/growing teams and converting ambiguous user stories to design and actionable/scoped units of work (and then seeing those through to completion), I am able to make a resounding impact, starting on day one, in any organization. Specialties: Core System Software Design and Development; Microservice Architectures; Monitoring and Alerting; Big Data; Performance; Numeric Analysis; Data Analysis; Team Building and Mentorship; Software Development Lifecycle; Continuous integration and improvement.
Amazon
Vetted Machine Learning Research developer in Austria (UTC+1)
NLP engineer and researcher with 16 years of experience in designing and building NLP applications, including systems for information extraction, information retrieval, syntactic and semantic parsing. Proficient in Python and the Linux command line, experienced with standard machine learning libraries. Led teams of up to 5 engineers in both industry and academia. Co-author of 50+ peer-reviewed articles with 500+ citations.
Vetted Machine Learning Research developer in Germany (UTC+1)
I am a versatile software engineer with extensive experience in audio, backend, and machine learning technologies. Venturing through the endless maze of tech possibilities, recklessly curious, I craft solutions using the right tools for the job.
Vetted Machine Learning Research developer in the Netherlands (UTC+1)
Chatbot Developer & Consultant (GPT4, ChatGPT, Rasa, DialogFlow, VoiceFlow, LandBot) ---------------------------------------------------------------- Hi, my name is Lena, and I help businesses solve problems using chatbots. I have over 6 years of experience building chatbots using Rasa, DialogFlow and GPT-4, offering consultations on chatbot development and conversation design, and also teaching people to build chatbots themselves, giving mentoring session and workshops. \==== What makes me different from other freelancers: ▣ I offer full-cycle chatbot development services, from a business idea to production. ▣ I am not just a full-stack developer. I have background in Natural Language Processing and Artificial Intelligence and I understand Machine Learning and the mechanisms behind how chatbots actually work. ▣ My first education is in Linguistics, which is very useful when it comes to designing dialogues and making them user friendly. ▣ I take business oriented approach and think about chatbots as a tool to solve a specific problem. I try to design chatbots with your business goals in mind and the problem you are trying to help your users solve. ▣ I believe that for any software project, including developing chatbots, it's very important to always keep users in mind. This means that I try to do user-research before the beginning of the project and validate my assumptions as soon as possible on real users. ▣ I value transparent and direct communication. ▣ I value your time and I value my time and I prefer to deliver results quickly rather than doing work for the sake of work. ▣ Based on the reviews, people think I'm a nice person to work with :) \==== Here are some ways I can help you: ▣ Getting started with your chatbot project. I can share with you my knowledge and expertise in the area of Chatbot Development, help you come up with a project plan, give you an overview of available chatbot tools that would best suit your project and will help you reach your business goals. ▣ Full-cycle chatbot development. I offer full-cycle chatbot development services, from start to finish. For chatbot development I use GPT-4, Rasa, DialogFlow, ManyChat, Landbot and VoiceFlow. For backend I use Python. For frontend I use JavaScript (TypeScript). ▣ Conversation design. I can both help you create conversation flows for your chatbot from scratch and review your existing conversation design and give you suggestions for improvement. ▣ Reviewing your existing chatbot. Ican give up tips both on how to improve your implementation (why your Machine Learning doesn't deliver results) as well as your conversation design (why users don't enjoy talking with your chatbot). ▣ Education. If you'd like to become a better chatbot developer yourself or are looking for a mentor to improve your current skills, I can help you. ▣ Chatbot widget. If you just looking a chatbot widget for the website, I can share with you my code so that you don't have to build it from scratch. \==== Tech Stack: ▣ Programming Languages: Python ▣ Chatbots: DialogFlow, Rasa, ManyChat, GPT3 ▣ Database: MYSQL, Postgres, MongoDB, BigQuery ▣ Machine Learning: Scikit-Learn, Tensorflow ▣ NLP: NLTK, Gensim, SpaCy, FastText, word2vec, MUSE ▣ Crawling: Scrapy, Beautiful Soup, LXML ▣ Web: Flask, HTML, CSS, JavaScript ▣ Generative AI: ChatGPT, GPT-3.5, GPT-4 ==== Some of my chatbot development projects: ▣ Business Assistant Chatbot (GPT3, DialogFlow) ▣ Property Management Chatbot (Rasa) ▣ Language Leaning Chatbot (Rasa) ▣ Financial Assistant Chatbot (DialogFlow) ▣ Health Coach Chatbot (DialogFlow) ▣ Chatbot-Recruiter (ManyChat) ▣ Voice Auto Attendant Chatbot (DialogFlow) \==== If this all sounds interesting, feel free to get in touch and we can schedule a free discovery call!
Discover more freelance Machine Learning Research developers today
Why choose Arc to hire Machine Learning Research developers
Access vetted Machine Learning Research developers
Meet freelance Machine Learning Research developers who are fully vetted for domain expertise and English fluency.
View matches in seconds
Stop reviewing 100s of resumes. View Machine Learning Research developers instantly with HireAI.
Save with global hires
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Get real human support
Feel confident hiring Machine Learning Research developers with hands-on help from our team of expert recruiters.
Why clients hire Machine Learning Research developers with Arc
How to use Arc
1. Tell us your needs
Share with us your goals, budget, job details, and location preferences.
2. Meet top Machine Learning Research developers
Connect directly with your best matches, fully vetted and highly responsive.
- 3. Hire Machine Learning Research developers
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Hire Top Remote
Machine Learning Research developers
in the world
Arc talent
around the world
Arc Machine Learning Research developers
in the world
Ready to hire your ideal Machine Learning Research developers?
Get startedTop remote developers are just a few clicks away
Arc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Find and hire developers by role / expertise
Find and hire engineers by skills
Build your team of Machine Learning Research developers anywhere
Arc helps you build your team with our network of full-time and freelance Machine Learning Research developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
FAQs
Why hire a Machine Learning Research developer?
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Machine Learning Research developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Machine Learning Research developers can help keep your website up-to-date.
How do I hire Machine Learning Research developers?
To hire a Machine Learning Research developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Machine Learning Research developers effectively and efficiently. Hire full-time Machine Learning Research developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Machine Learning Research developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Machine Learning Research developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Machine Learning Research developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Machine Learning Research developers?
There are two types of platforms you can hire Machine Learning Research developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Machine Learning Research developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Machine Learning Research developers, consider niche platforms like Arc that naturally attract and carefully vet their Machine Learning Research developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Machine Learning Research developers.
Some factors to consider when you hire Machine Learning Research developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Machine Learning Research developers for hire.
How do I write a Machine Learning Research developer job description?
Writing a good Machine Learning Research developer job description is crucial in helping you hire Machine Learning Research developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Machine Learning Research developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Machine Learning Research developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Machine Learning Research developer?
The top five technical skills Machine Learning Research developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Machine Learning Research developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Machine Learning Research developers to keep up with evolving technology and requirements.
What kinds of Machine Learning Research developers are available for hire through Arc?
You can find a variety of Machine Learning Research developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Machine Learning Research developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Machine Learning Research developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Machine Learning Research developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring Machine Learning Research developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Machine Learning Research developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Machine Learning Research developers.
Every Machine Learning Research developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Machine Learning Research developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
How does Arc vet a Machine Learning Research developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Machine Learning Research developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Machine Learning Research developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Machine Learning Research developers, you can rest assured that all remote Machine Learning Research developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find Machine Learning Research developers on Arc?
Arc pre-screens all of our remote Machine Learning Research developers before we present them to you. As such, all the remote Machine Learning Research developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Machine Learning Research developer in 72 hours, or find a full-time Machine Learning Research developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Machine Learning Research developers.
How much does a freelance Machine Learning Research developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Machine Learning Research developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Machine Learning Research developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Machine Learning Research developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
How much does it cost to hire a full time Machine Learning Research developer?
According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Machine Learning Research developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Machine Learning Research developers, check out our FAQs page.