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Access 2M+ of the world's top remote developers ready to grow your company to the next level
I am Machine Learning Engineer with 5+ years experience. Recently, I helped build push notification recommendations for product-based apps. Looking for new projects!
My passion is solving problems through data and the application of machine learning. I’ve built applications and features for rankings, search, infrastructure.
My career has been in health tech where I focus on building intelligent tools, products and analytics. I studied Computer Programming and am currently pursuing a Masters in Data Science.
Develop machine learning solutions for live video and audio content. I work on my own products, my passion is building drones. I'm looking for an innovative startup.
I am an engineer with 6 years of experience focused on natural language processing (NLP) and predictive modeling. I'm inspired by working in a data-driven startup.
My background is in data science and software development. Most recently, I am working on building a team of Machine Learning Engineers to work on computer vision and video projects.
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Machine learning engineers work closely with data scientists and engineering teams to create ML algorithms that learn and make predictions. For example, work related to personalization, recommendations may be part of a machine learning engineers job. Most machine learning engineer positions are within a data science team or organization.
Rapid growth (or anticipated growth), tech stack set up, identifying an MVP product or service, and missing skill sets are some of the reasons startups begin seeking developer talent to enhance their existing engineering team. Wellfound’s all-in-one free recruiting platform makes hiring the best full stack developer talent for your startup simple. Request access and start reviewing fully vetted, top developers today.
The ML engineer should be familiar with natural language processing, deep learning, recommender systems and statistics. Knowing the fundamentals of computer programming (i.e. Java, Python) and other backend related programs is required. Machine Learning Engineers should also have a strong mathematics and statistics background in order to conduct data modeling and evaluation. Additionally, there are specific ML algorithms including Naïve Bayes Classifier, K Means Clustering, Support Vector Machine, etc.
Wellfound’s engineers represent the top 1% of engineers across the US. With more than 2M+ developers on Wellfound, we represent over 100 different specializations and various skill and experience levels.
Wellfound’s developer pool consists of common developer roles, including machine learning engineers, software developers, front-end developers, back-end developers, and more. Our global pool of developers also includes more specialized talent including candidates in mobile, gaming, data science, and security.
Yes! Wellfound ML developers represent multiple disciplines from all over the world. With Wellfound you can access highlight qualified candidates in SF, LA, NY, & Remote within the US. We also include vetted remote talent from Latin America, Europe, and India.
Our in-house team of recruiting experts reviews every candidate before featuring them to you. We vet developers based on their skills (using skill-based assessments and videos) and intent signals to ensure they are top-tier candidates.
Yes! Wellfound developers are fully vetted and interview-ready. Get started on Wellfound today and begin pitching developers who are eager to work for your startup.
Wellfound’s all-in-one recruiting platform includes a suite of free products and services designed to help you hire top tech talent 3x faster. With AngelList you can source & pitch candidates, post jobs, review applicants, message & track candidates with our ATS, and make an offer to hire all for free. Get started today to begin sourcing from 8 million startup-ready candidates with all the tools you need to hire.