Machine Learning Engineer II
Job Description
Responsibilities
- 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 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 ML conferences like NeurIPS, ICML, and ICLR.
Requirements
- Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and 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.)
Technologies
- Torch
- Tensorflow
Day To Day
As a Machine Learning Engineer II, you will develop and deploy predictive models and genAI capabilities that support various business functions. Daily activities include exploring data to define problem statements, building and optimizing machine learning models, and monitoring their production performance. You will collaborate with cross-functional teams to integrate machine learning solutions into products.
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
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
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, RSUs, and a Paid Time Off policy.
Our Mission
As the world’s number 1 job site, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We’re growing our teams with more people who share our enthusiasm for innovation and delivering the best experience for job seekers.
Inclusion & Belonging
Inclusion and belonging are fundamental to our hiring practices and company culture. Indeed is committed to the wellbeing of our employees and to fostering an environment where every individual feels respected and valued, with diverse experiences welcomed.
Equal Opportunities and Accommodations
Indeed is an equal opportunity employer. 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, neurodiversity, disability, age, or veteran status.
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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. An agency seeking a placement fee must obtain advance written approval and execute a fee agreement with Indeed before submitting resumes.