Hire Machine Learning engineers

The cost to hire a Machine Learning еngineer could be influenced by the different types of cooperation, so the rate for in-house workers and independent contractors varies.

The base pay for hiring a Senior Machine Learning engineer in the US, San Jose, ranges from $164K – $252K, according to GlassDoor. The additional pay is $61K – $114K per year.

Machine Learning is expensive because of different factors: hardware and electricity costs, data acquisition and processing, licensing fees and cloud services. Also, the impact on the expenses includes costs associated with experimentation and innovation.

Machine Learning requires high-quality specialists: data analysts, data engineers, machine learning engineers, and AI engineers, and these specialists need to pass various training and development programs to improve their skills and enhance their knowledge.

A Machine Learning engineer who works on a full-time project usually spends 40 hours per week on their tasks. However the working hours could depend on the project: the tasks relevant to the role, the complexity of the project, the budget, and the timeline could have a crucial impact on the schedule.

The average hourly rate for a Senior Machine Learning engineer’s contract in San Jose, US, ranges from $70 to $94, according to GlassDoor. The rate depends on various factors: seniority level, skill sets, and number of years of experience.

Machine Learning engineers are in high demand in the market because they contribute to development across various industries. This field requires highly skilled specialists with extensive knowledge of different aspects of the AI market and industry. Typically, machine learning engineers invest considerable time and budget in obtaining various certifications and improving their skills, which is reflected in their rates.

There are no exact requirements for how much coding a Machine Learning engineer does; it depends on the project, the size and number of specialists on the team, and their specific responsibilities.

Usually, they need to spend a significant amount of their working time coding. Machine Learning engineers do a significant amount of coding for model development, data processing, algorithms implementation, automation, integration and optimization.

Yes, Machine Learning is high-paying. The average hourly rate for a Senior machine learning engineer’s contract in San Jose, US, ranges from $70 to $94, according to GlassDoor. The rate depends on various factors: seniority level, skill sets, and number of years of experience.

Machine Learning engineers are in high demand in the market because they contribute to development across various industries. The highest demand for machine learning engineers is concentrated in technology & IT, healthcare and pharmaceuticals, finance and banking, e-commerce and retail, and automotive and transportation.

A no-risk paid trial period with Lemon.io is up to 20 hours, during which you can use the option to assess how a Machine Learning engineer works on real tasks before signing up for a subscription.

Additionally, we would like to highlight that we have a zero-risk replacement guarantee. This means that if your lemon.io Machine Learning engineer misses deadlines or fails to meet expectations, we’ll offer to you a new remote Machine Learning engineer. We have never had to do this before because only 1% of top applicants can join our community, but we promise our client support could be more supportive than your family.

The hourly rate, which is the base pay without additional pay for direct hire, if you are looking for a Senior Machine Learning engineer in San Jose, USA, ranges from $70 to $94, according to GlassDoor. Additional pay is $35K – $65K per year.

If you are currently looking for a Machine Learning Engineer for your project, you can check global hiring websites such as Glassdoor, Indeed, Dice, and LinkedIn. You need to create the job listing, check the CVs, and proceed with the candidates who have the skills and experience that are good for your project. Afterward, you need to make a large number of screening calls and hard skills interviews, choose the best candidate, and sign the contract with them.

Alternatively, you can ask for help from Lemon.io—we will deliver 2-3 pre-screened developers to your startup. Don’t spend money and your team’s time on job postings, screening calls, and technical interviews—we have done those tasks earlier and pre-screened Senior Machine Learning engineers for you. Just send us your requirements and project overview and meet the miraculous developers in 48 hours.

You can hire a Machine Learning engineer in 48 hours through Lemon.io. In 48 hours, our team will manually find you a Machine Learning engineer in our pre-screened community – the Machine Learning engineer’s skills will be relevant to your requirements and preferences.

All the Machine Learning engineers in our talent pool have passed a few vetting stages: VideoAsk, completion of their me.lemon profile, a screening call with our recruiters that includes various technical questions, and a technical interview with our technical interviewers.