Lensa.com is one of the biggest recruitment and career platforms on the United States market, with 20 million registered users. The company is founded and managed by Hungarian professionals who introduced and developed the well known Profession.hu.

Our product represents the future of career development: job search that puts people first while reducing the time and cost of talent acquisition. Using machine learning, we instantly match job seekers with positions that fit their skills, career goals and personalities. We make the world better, by placing every job seeker in the best possible positions for them. We are proud of our 4.3+ Trustpilot score!

Lensa is dedicated to achieving its business goals with cutting-edge, scalable technologies. With teams in multiple U.S. locations and a talented crew of developers, product managers and data scientists in Budapest, we are working every day to share our transformative career technology with the world.

If you're interested in joining our journey and contributing to our success as part of our dynamic international team, we look forward to receiving your application!

About The Role

Join a team of passionate researchers dedicated to developing innovative machine learning solutions for real-world applications. Our current priorities include recommendation systems, personalization techniques, and custom reinforcement learning approaches.

Responsibilities

• Understand Business Needs: Collaborate closely with stakeholders to translate business objectives into actionable machine learning concepts and strategies.
• Data Exploration: Analyze the company’s extensive datasets to uncover opportunities for leveraging data in innovative machine learning solutions.
• Propose Novel Solutions: After gaining a deep understanding of the data and the domain, generate new ideas and solutions that go beyond existing business or product concepts, fostering innovation and creativity.
• Project Lifecycle: Participate in all phases of machine learning projects until deployment — from comprehending project requirements to designing solutions, implementing algorithms, validating results, and evaluating outcomes.
• Handover to Developers: Facilitate smooth handovers to development teams who will oversee deployment, integration, and system monitoring.
• Team Collaboration: Be an active team player, engaging in daily discussions to share ideas, provide constructive feedback, and review the work of others, fostering a collaborative and supportive environment.
• Mentoring: Provide mentoring to junior members of the team, enabling their professional growth by sharing expertise and supporting their contributions to projects.

• Professional Experience: At least 5 years of professional experience
• Theoretical Knowledge: Strong understanding of both fundamental and advanced machine learning concepts, including recent advancements in neural networks, as well as a solid grasp of probability theory and statistics.
• Problem-Solving and Analytical Skills: Demonstrated ability to approach complex challenges with a problem-solving mindset and robust analytical skills.
• Python Expertise: Proficiency in Python, along with experience using standard data science libraries such as pandas, scikit-learn, and TensorFlow.
• Data Handling Tools: Familiarity with standard solutions for data collection and transformation, including SQL, Spark, and similar tools.
• Educational Background: Degree in computer science, mathematics, physics, or a related field.
• Advantages: Hands-on experience with reinforcement learning, recommendation systems, or personalization techniques.

What We Offer

• Flexible working hours with home office opportunity
• Medicover health insurance
• Company breakfast and lunch every day in the office
• In-house gym in the office with organised trainings and sport equipments
• Exciting programs and team-building events
• Recreation room with darts, ping pong, foosball, XBox, and other games
• Modern and fancy office in Buda close to Széll Kálmán tér

If you prefer to work in a startup environment but still a stable, fast-growing company, and you’re interested in the role, please do not hesitate to apply!