Machine Learning Team Lead

About MeeBoss

MeeBoss is a passionate, agile, and hands-on team dedicated to transforming the hiring experience by bringing human connection back to the beginning of recruitment. We are an innovative job-matching and direct chat platform designed to help companies find the right talent faster and more cost-effectively. By combining personalized matching with real-time, two-way communication, MeeBoss enables employers and job seekers to connect quickly, assess fit, and move the hiring process forward with confidence.

As a fast-growing startup, MeeBoss is reimagining the online recruiting landscape. Our mission is to streamline hiring while empowering companies to engage directly with job-ready talent. By leveraging cutting-edge technology and intelligent matching, MeeBoss helps businesses attract, engage, and hire top candidates more efficiently, delivering a seamless and personalized hiring experience anytime, anywhere.

 About the Role

We are looking for a Machine Learning Lead to own and lead our core algorithm systems, while building and scaling a high-impact engineering team.

This role is algorithm-first, with responsibility across matching, recommendation, and ranking systems, while also leading the engineering execution and team development behind these systems.

You will play a critical role in driving innovation in how talent and opportunities are matched — exploring new approaches in AI, personalization, and real-time interaction to redefine the recruiting experience.

What You’ll Do

●      Algorithm & System Ownership

• Lead the design and development of core ML systems

• Own end-to-end ML lifecycle: problem definition, modeling, experimentation, deployment, and iteration

• Continuously improve matching quality, challenge existing assumptions and design innovative solutions for cold-start, relevance, and marketplace efficiency problems

●      Engineering & Technical Leadership

• Architect and build scalable ML and backend systems to support production-level deployment

• Ensure system performance, scalability, and reliability in a fast-growing environment

• Set technical direction, coding standards, and best practices across algorithm and engineering work

• Partner closely with product and engineering teams to translate business problems into robust technical solutions

●      Team Building & Leadership

• Build, mentor, and lead a small but growing team of ML engineers / software engineers

• Provide hands-on technical guidance while fostering a high-performance, execution-focused team culture

• Support hiring, onboarding, and development of engineering talent

• Balance hands-on contribution with team leadership as the team scales

●      Execution & Impact

• Drive fast experimentation and iteration to improve product performance

• Deliver measurable improvements in matching quality, user engagement, and platform efficiency

• Collaborate with founders and leadership on technical roadmap and prioritization

What We’re Looking For

●      5+ years of experience in machine learning, algorithm engineering, or backend engineering

●      Strong hands-on experience building and deploying production ML systems

●      Proven experience with recommendation, ranking, matching, or search systems

●      Solid software engineering fundamentals and experience building scalable systems

●      Prior experience leading projects and/or mentoring engineers (formal or informal team leadership)

●      Ability to operate both as an individual contributor and a team lead

●      Strong ownership mindset and ability to drive from ambiguity to execution

Nice to Have

●      Experience building or scaling engineering teams in a startup environment

●      Background in marketplace or two-sided platform products

●      Experience with NLP, search, or personalization systems

●      Familiarity with experimentation frameworks and online evaluation