Hire Machine Learning Engineers

Frequently asked questions

What is the role of a Machine Learning Engineer?

Machine Learning Engineers leverage advanced algorithms and models to build intelligent systems, enhancing the capabilities of our products. They design and implement machine learning solutions, analyze data, and collaborate with cross-functional teams to integrate AI-driven features into our products. Machine Learning Engineers possess expertise in machine learning frameworks and stay abreast of advancements in the field to drive innovation in our product offerings.

What are the core responsibilities of a Machine Learning Engineer?

Machine Learning Engineers collaborate closely with data scientists and product teams to design and implement intelligent systems. They analyze data, develop and deploy machine learning models, and optimize algorithms for performance. Machine Learning Engineers stay abreast of emerging trends in machine learning, contributing to the overall success of our product offerings by integrating AI-driven features that enhance the capabilities and value of our products. They play a crucial role in driving innovation and maintaining a competitive edge in the market. |

What is a typical compensation package for a Remotely engineer

Remotely engineers are first-class engineers, hired as full-time members of your team. You define their compensation (with Remotely’s guidance).

‍Compensation (Monthly Fee): You negotiate directly with the engineer and can lean on Remotely for guidance on local market rates (which vary by country and position). You’ll realize significant cost savings on the salary front (in comparison to US salaries) due to less competitive markets and lower cost of living. For more insight on local salary ranges by level, see the 2023 compensation guide.
‍Equity: We recommend providing stock options (and can assist with the legalities)
‍Other Benefits: Remotely helps you “match” the benefits package of your US-based employees.
- Paid Holidays (Local)* - We suggest matching the number of paid holidays your US-based employees receive. Remotely advises on specific dates based on local holidays
- Paid Time Off and Sick Days - We suggest matching that of your US-based employees
- Private Health Insurance Reimbursement - This is managed by Remotely and paid for by Remotely (included in the Remotely flat monthly fee)

What is Remotely's vetting process for Machine Learning Engineers?

Remotely uses its proprietary technology, Gitsight, to source and evaluate candidates’ technical knowledge and capabilities. We've analyzed and stack-ranked more than 25 million developers worldwide by reviewing their publicly available code (more than 1.2 billion commits), objectively assessing expertise in specific programming languages or ecosystems. This data edge allows us to hyper-target developers that fit our customers' specific tech stack and tech challenge. Further, all candidates are interviewed by a Talent Manager and vetted by a member of Remotely's engineering team. In addition to technical skills, we vet for English fluency, and softer skills such as communication, remote-work culture, and ability to work independently. In some instances, we apply mock interviews: a mid-level live coding session, with 45min to an hour, going to the build of a basic solution to a more robust one.

How is Remotely different from other remote job marketplaces?

Remotely is different from other remote job marketplaces in multiple ways. In particular:
- Full-time, long-term projects (exclusively)
- Hands-on support through job search, onboarding, and beyond (professional development, career growth, and more). Our incentives are aligned to help you build a successful and fulfilling career.
- Transparent compensation - you keep 100% of what you make, and negotiate your compensation directly with the company you’ll work with.

Expert resources for Machine Learning Engineers