Machine Learning Recruiter Job Description

Tsiala Jobava

Last updated on February 18, 2025 | 6 min read

Job Description TemplateRecruitment

General overview of the role

The Machine Learning Recruiter plays a key role in sourcing, attracting, and hiring top talent in AI and machine learning. This position involves collaborating with hiring managers to assess talent needs, craft compelling job descriptions, and implement strategic hiring initiatives. The recruiter actively engages with candidates, evaluates technical expertise, and ensures a seamless recruitment process from initial outreach to onboarding. Success in this role requires a strong understanding of machine learning principles, AI technologies, and industry trends, along with excellent communication and relationship-building skills to effectively manage candidates and stakeholders.

Typical duties and responsibilities

• Collaborate with hiring managers to define job requirements for machine learning and AI roles.
• Source candidates through platforms like LinkedIn, GitHub, Kaggle, and AI communities.
• Screen candidates to assess technical and cultural fit.
• Coordinate and optimize interview processes with technical teams.
• Build and maintain a network of machine learning professionals.
• Stay informed about machine learning trends to engage candidates effectively.
• Develop and execute employer branding strategies to attract top ML talent.
• Track recruitment metrics and optimize hiring strategies based on data-driven insights.

Required skills and experience

• At least 2 years of experience as a recruiter, preferably in technology or machine learning.
• Knowledge of machine learning roles, tools, and concepts (e.g., TensorFlow, PyTorch).
• Expertise in sourcing tools and Boolean search strategies.
• Strong communication and interpersonal skills to engage candidates and stakeholders effectively.
• Familiarity with applicant tracking systems (ATS) and recruitment software.
• Excellent organizational skills and multitasking ability to manage multiple hiring pipelines.
• Strong time-management skills to meet deadlines and hiring goals in a fast-paced environment.
• Ability to analyze hiring metrics and optimize recruitment strategies based on data-driven insights.
• Support employer branding initiatives to attract top-tier AI and machine learning talent.
• Collaborate with HR and leadership to align recruitment strategies with overall company objectives.

Nice to have/preferred skills and experience (not required)

• Exposure to AI or machine learning projects, certifications, or academic background.
• Understanding of technical interview processes for machine learning roles.
• Experience working with global teams and diverse cultures.
• Familiarity with niche AI communities and events.
• Knowledge of compensation benchmarks in the AI/ML domain.

Machine learning recruiter salary breakdown

Machine Learning Recruiter salaries vary depending on experience, location, industry, and company size.

Entry-level Machine Learning Recruiters with less than two years of experience typically earn between $70,000 and $90,000 annually. These professionals focus on sourcing and screening candidates, often working under the guidance of senior team members. Compensation may include performance-based bonuses.

Mid-level Machine Learning Recruiters with 2–5 years of experience can expect salaries ranging from $90,000 to $130,000 annually. At this stage, recruiters manage the full recruitment cycle, develop hiring strategies, and oversee junior recruiters. Many receive additional bonuses and profit-sharing incentives.

Senior Machine Learning Recruiters with 5+ years of experience typically earn between $130,000 and $225,000 annually. These professionals lead recruitment teams, develop high-level talent acquisition strategies, and work closely with executive leadership. Their compensation often includes significant bonuses, stock options, and other performance-based incentives.

These salary estimates may vary based on geographic location, industry demand, and company structure. Recruiters in major tech hubs or AI-focused companies often command higher salaries due to increased competition for specialized talent.

What we offer

• Extensive health and wellness coverage.
• Work-from-home options and flexible hours.
• Paid time off for vacations, holidays, and sick leave.

Here are a few more benefits that, according to Forbes, are valued by employees:

• Retirement savings plans with employer matching, such as 401(k) plans, are highly valued by employees.
• Early leave on Fridays.
• 4-day work week.
• Private dental insurance.

About us

We recommend including general information about the company, such as its mission, values, and industry focus. For instance, you could say:
"DevsData LLC is an IT recruitment agency that connects top tech talent with leading companies to drive innovation and success. Their diverse team of US specialists brings unique viewpoints and cultural insights, boosting their capacity to meet client demands and build inclusive work cultures. Over the past 8 years, DevsData LLC has successfully completed more than 80 projects for startups and corporate clients in the US and Europe."

Explore sample resumes

Explore these effective resume examples to guide your focus and priorities during the candidate review.

• IT Recruiter Resume Sample
• Technical Recruiter Resume Sample

Contact DevsData LLC

If you’re looking to hire a qualified Machine Learning Recruiter, reach out to DevsData LLC at general@devsdata.com or visit www.devsdata.com. The company’s recruitment process is thorough and efficient, utilizing a vast database of over 65000 professionals.

They are renowned for their rigorous 90-minute interviews to assess candidates’ technical skills and problem-solving abilities.

Additionally, DevsData LLC holds a government-approved recruitment license, ensuring compliance with industry standards and regulations.