What you'll do...
As a Staff Machine Learning Engineer, you will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers.
- You will be responsible for the quality and technical approach within the team; partner with other leads in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes.
- You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work. You will design, conduct, and analyze experiments to quantify the impact of the systems that you build.
- We are seeking a highly skilled engineer to take a critical role in building state-of-the-art bidding optimization and user prediction systems. As a leader of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value.
What you'll do:
- Set Technical Vision and Strategy: Define and execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
- Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.
- Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence. Lead the team on designing new user engagement and bid optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
- Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.
- Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box!
What you'll bring:
- 10+ years of contributing high-quality code to production systems that operate at scale.
- Lead/participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, Redis
- Solved complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.
- Stay up-to-date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.
- Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.
Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see
The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock
Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.Option 2: 6 years’ experience in software engineering or related area.
Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America