Role Description As a Senior Machine Learning Engineer, you will work on developing, deploying predictive models and genAI capabilities that support various business functions. Your daily activities include: - Exploring data to define problem statements - Building and optimizing machine learning models - Monitoring their performance in production environments - Collaborating with cross-functional teams to integrate machine learning solutions into products - Staying informed about the latest advancements in the field to continuously improve model effectiveness and innovation Who you are: - Build highly scalable and performant recommendation systems and technologies that can identify optimum matches between millions of jobs and millions of job seekers in real-time - Experiment with Proof-Of-Concept Machine Learning (POC ML) model improvements, scale them to production, and run iterative A/B experiments to improve our matching technology - Mentor other software engineers, data scientists, and Machine Learning Engineers in the team - Break down larger Machine Learning initiatives into pieces that deliver incremental business value and implement them - Represent Indeed at major Machine Learning conferences like Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), and International Conference on Learning Representations (ICLR) Qualifications - Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience - Prior success in deploying impactful Machine Learning solutions to large-scale production systems - Solid knowledge of data structures and algorithms - Exceptional sense of ownership - Excellent written and verbal communication in English, effective with technical audiences - Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) Benefits - Quarterly bonuses - Restricted Stock Units (RSUs) - Paid Time Off policy - Region-specific benefits Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Salary Range Transparency - Tier 1 - United States of America: $138,000 - $208,000 USD per year - Tier 2 - United States of America: $154,000 - $230,000 USD per year - Tier 3 - United States of America: $169,000 - $253,000 USD per year - Tier 4 - United States of America: N/A - Tier 5 - United States of America: $193,000 - $289,000 USD per year EEO and Accommodations Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive.