The Lead Machine Learning Engineer III at Indeed will own a major workstream, drive the development and deployment of predictive models, explore data to define problem statements, and guide cross-functional teams toward product and technical goals.
Responsibilities
- Partner with cross-functional teams to enhance and optimize search algorithms for improved accuracy, relevance, and overall user experience.
- Experiment with Proof of Concept Machine Learning model improvements; scale them to production.
- Run iterative A/B experiments to improve our matching technology, while partnering with other teams.
- Define and clarify project priorities, deliverables, and success criteria in partnership with cross-functional teams.
- Act as a bridge between technical and non-technical collaborators, facilitating effective communication and comprehension of project goals and outcomes.
- Mentor and grow other software engineers and Machine Learning Engineers across teams.
- Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the team through implementing them.
- Represent Indeed at major Machine Learning conferences, such as Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the International Conference on Learning Representations (ICLR).
Requirements
- Requires a Bachelor’s degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 years of related experience; or a Master’s degree with a minimum of 6 years of experience; or a PhD with 3 years experience
- Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while partnering across teams
- Solid knowledge of data structures and algorithms
- Sense of ownership and accountability as a key contributor in the technical and product domains
- Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
- Excellent written and verbal communication in English, effective with technical and business audiences
Technologies
Salary Range Transparency
- Tier 1 - United States of America 163,000 - 245,000 USD per year
- Tier 2 - United States of America 182,000 - 272,000 USD per year
- Tier 3 - United States of America 199,000 - 299,000 USD per year
- Tier 4 - N/A
- Tier 5 - United States of America 227,000 - 341,000 USD per year
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. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy,
Benefits
- Medical, dental, vision, disability and life insurance
- 401k plan
- Equity-based incentive program
- Open paid time off
- 11 paid holidays a year
- Up to 26 weeks of paid parental leave
- Country-specific information about benefits on the benefits page at https://www.indeed.com/careers/benefits
Health, Work/Life Harmony, & Wellbeing
Indeed offers a comprehensive benefits package to support employees and their families, including medical, dental, vision, disability and life insurance, a 401k plan, and an equity-based incentive program. Open paid time off, 11 paid holidays per year, and up to 26 weeks of paid parental leave are available. Country-specific information about benefits is available on the benefits page.
Equal Opportunities and Accommodations
Indeed is deeply committed to building a workplace and global community where inclusion is valued and prioritized. We are an equal opportunity employer and provide all qualified applicants consideration 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.
Inclusion and Belonging
Inclusion and belonging are fundamental to our hiring practices and culture, forming part of our vision for a better world of work. We strive to create an environment where every employee feels respected and accepted, benefiting innovation and creativity. We value diverse experiences, including those with prior contact with the criminal legal system, and encourage individuals with criminal records to apply. Military experience is welcome, and equivalent expertise from other experiences is considered.
Indeed’s Employee Recruiting Privacy Policy
Indeed uses our own technologies to help find and attract top talent. In addition to our site policies, a recruitment privacy policy is available at https://www.indeed.com/legal/indeed-jobs.
Agency Disclaimer
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, or fee-based referral services, unless advance written approval is obtained. We use AI tools to assist in screening and selection, but human decision-making remains central to the process. We do not use AI constituting an AEDT or an ADMT unless otherwise notified by applicable laws.
Reference
Reference ID: 47002
