Machine Learning Engineer Graduate (Recommendations, USDS) - 2025 Start (MS)

• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
• Design and build supporting/debugging tools as needed.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Qualifications

Minimum Qualifications

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• 0-1 years of experience in machine learning, deep learning, data mining, or artificial intelligence.
• Proficient in programming languages such as Python, C++, Java, or similar.

Preferred Qualifications

• Deep understanding of recommendation algorithms and personalization systems.
• Excellent problem-solving and analytical skills.
• Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.
• Experience with reinforcement learning techniques.
• Proven modeling/algorithms competition records on Kaggle or top conferences' challenges.
• Proven programming competition records on ICPC, IOI or USACO.
• Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.
• Publications in machine learning or related conferences or journals are highly desirable.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $144000 - $144000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.