This remote role invites a senior machine learning engineer to provide technical leadership across Indeed's core search and recommendations platforms. The position focuses on advancing AI first matching initiatives and collaborating with cross-functional teams to deliver scalable ML solutions.
Responsibilities
- Identify and shape novel machine learning solutions across the Indeed platform, spanning multiple teams and organizations
- Collaborate with cross-functional partners to clarify requirements and plan large-scale initiatives
- Partner with senior leadership to develop and influence long-term technical strategy
- Guide and influence colleagues at all levels of the organization in delivering significant initiatives
- Mentor and support the growth of machine learning engineers and emerging engineering leaders
- Propose and oversee initiatives that improve the efficiency and productivity of the machine learning organization
- Contribute hands-on when needed by diving into code and sharing machine learning engineering best practices across the organization
Requirements
- Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 15 years of related experience; or a Master’s degree with a minimum of 12 years of experience; or a PhD with 8 years experience
- Experience guiding through influence and delivering predictable results in complex organizations
- Proven ability to translate product direction into machine learning architecture and strategy
- Effective and inclusive verbal and written communication to a variety of different audiences
- Experience coding in Java, C, C++, or Go in backend development; Tensorflow, PyTorch, Sagemaker, or equivalent ML Platforms for model development; and Python or R for data analytics
- Experience with SQL Databases such as Presto, AWS Athena, Postgres, BiqQuery, or equivalent
Technologies
- Java
- C
- C++
- Go
- Tensorflow
- PyTorch
- Sagemaker
- Python
- R
- Presto
- AWS Athena
- Postgres
- BiqQuery
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 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
Salary Range Transparency
- Tier 1 - United States of America $227,000 - 341,000 USD per year
- Tier 2 - United States of America $253,000 - 379,000 USD per year
- Tier 3 - United States of America $278,000 - 416,000 USD per year
- Tier 4 - United States of America N/A
- Tier 5 - United States of America $316,000 - 474,000 USD per year
Salary Range Disclosure
The salary range for this role reflects the minimum and maximum compensation for the position. 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 listed is one component of Indeed's total compensation package, which may also include quarterly bonuses, RSUs, and a Paid Time Off policy.
Health, Work-Life Harmony, and Wellbeing Benefits
Indeed offers a comprehensive benefits package that includes medical, dental, and vision coverage, as well as disability and life insurance. Eligible Indeedians can enroll in a 401k plan and participate in an equity-based incentive program. Open paid time off, 11 paid holidays each year, and up to 26 weeks of paid parental leave are available. For country-specific details, visit the Indeed careers benefits page.
Our Mission
Indeed aims to help people find jobs as the world’s leading job site. The company strives to foster an inclusive and accessible workplace where everyone can thrive. We seek to grow our teams with individuals who share a commitment to innovation and delivering the best experience for job seekers.
Day to Day
As a Machine Learning Engineering Fellow, you will contribute to accelerating improvements across our core search and recommendations platforms. You will collaborate with Product Managers, Software Engineers, User Experience colleagues, and fellow ML Engineers across retrieval, ranking, metadata, resume, and ML platform teams. This role supports a large-scale matching ecosystem built around tens of millions of daily users and billions of data points, offering the opportunity to architect the next generation of AI-first matching, including generative retrieval and extreme multi-label classification. The impact of your work will be evident daily, and the role permits work from anywhere within the United States.
Equal Opportunities and Accommodations
Indeed is committed to building a diverse and inclusive workplace. All qualified applicants will receive 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. Reasonable accommodations are provided in the employment process; to request an accommodation, visit the accommodations page, and for interview accommodations, contact the team at least one week in advance. For more information on equal opportunity and affirmative action, please visit the Indeed Careers page.
Inclusion and Belonging
Inclusion and belonging are central to Indeed's culture. The company values diverse experiences and provides opportunities for individuals from varied backgrounds, including those with prior encounters with the criminal legal system and military experience, to apply and contribute.
Indeed’s Employee Recruiting Privacy Policy
Indeed uses our own technologies to attract top talent. In addition to the standard site policy, candidates should review Indeed's recruitment privacy policy available on the company site.
Agency Disclaimer
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms and recruiting agencies, unless advance written approval and a fee agreement are in place. AI is utilized in screening and assessment to support human decision making, not replace it. Unless otherwise notified, Indeed does not use AI that constitutes an AEDT or an ADMT as defined by applicable laws.
