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Machine Learning scientist job description template

A Machine Learning scientist is a highly skilled individual who can efficiently build robust training models that can be used for various purposes like automated speech recognition, image classification, market forecasting, or developing marketing strategies. We, at Turing, not only help you build the perfect machine learning job description but also offer Silicon Valley-caliber machine learning scientists on-demand.

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A clear and comprehensive Machine Learning scientist job description helps you attract highly skilled engineers to your organization. From pre-processing to developing ML applications, a skilled machine learning scientist can handle them all. Companies that wish to have developers who can help them in creating user-facing software solutions, adding new features, and fixing problems must hire the best machine learning scientists. In this article, we help you build an in-depth machine learning scientist job description template that will help you hire top professionals from across the world.

Company description (3-4 lines)

In this space, add a short introduction about your company and describe your work culture as well as unique selling propositions. Tell the candidate what it's like to work with you and why one should join your organization.

Sample:

We are a motivated and experienced team of top performers who are committed to providing a mutually respectful work environment. At ABC (Company Name), we believe diversity and equal employment opportunities among our teammates are critical to our success as a global business. We provide a collaborative work environment and seek to recruit, develop and retain the most talented professionals from a diverse candidate pool across the globe. We are one of the fast-growing companies in “place” and there are a lot of opportunities to grow with us.

Machine Learning scientist job description (4-5 lines)

Clearly mention your requirements along with the tasks that the prospective candidate will do after joining your organization. Be crisp and clear with your objectives so that the candidate knows exactly what to expect from this job opportunity.

Sample:

We’re looking for a highly skilled machine learning expert to extrapolate our data. We want a passionate team player who is about artificial intelligence and is updated with the news and trends in this field. The candidate will be involved in all processes right from data collection, cleaning, pre-processing, data validation, creating training models, and data reproduction. The ideal candidate should be passionate about artificial intelligence and stay up-to-date with news and trends going around ML.

Machine Learning scientist job responsibilities (5-8 bullet points)

This is probably the most important section of any job description. Therefore, you should be super clear about the responsibilities associated with the job for which you are looking for a suitable candidate. In a pointed manner, list down all the major responsibilities that you want the candidate to fulfill if they join your organization.

Sample:

  • Create AI/ML systems
  • Research and implement efficient ML algorithms and tools
  • Develop ML applications according to the requirements
  • Run machine learning tests and experiments
  • Troubleshoot issues and solve problems where needed
  • Stay updated with the current developments in the field

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Required skills for Machine Learning scientists (6-8 bullet points)

Under this section, mention all the academic and professional qualifications that a candidate needs to have in order to apply for this role. You should list down all the mandatory technical skills required for this job.

Sample:

  • Bachelor’s/Master’s degree in computer science, information technology, engineering, or anything specific field that you prefer
  • At least 3-5+ years (//edit according to your requirements) of experience building ML-based applications
  • Previous experience in data structures, data modeling, and software architecture
  • Hands-on knowledge of math, probability, statistics, and algorithms
  • Solid coding knowledge in Python, Java, and R
  • Hands-on experience with popular ML frameworks and libraries
  • //Add more details according to your requirements

Preferred skills for Machine Learning scientists (5-8 bullet points)

This is an optional section where you can list down any additional skills/requirements that you expect from the candidate.

Sample:

  • Familiarity with code versioning tools, like Git, SVN, and Mercurial
  • Excellent verbal and communication skills
  • Strong problem-solving skills and attention to detail
  • Fascinated about learning new tools, languages, philosophies, and workflows
  • Any professional certifications //if required

Benefits and perks for Machine Learning scientists

This is an exciting section of your Machine Learning scientist job description template. This is where you can list down all the additional benefits/perks that a candidate will get once they join your company.

Sample:

  • Career & growth opportunities
  • Better compensation for Machine Learning scientists
  • Medical Insurance
  • Incentives

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Turing has created the first and only Intelligent Talent Cloud to vet remote developers for a Silicon Valley bar. Turing tests developers based upon actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

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