Responsibilities
We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.
We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for infrastructure engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!
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Responsibilities:
- Design and deploy state-of-the-art big data pipeline processing techniques (Text, Image, Video, etc.) for empowering the foundation model training, fine-tune and RLHF.
- Improve engineering productivity by empowering ML engineers with excellent tooling and systems.
- Implement the best practices for ensuring building observable and scalable systems.
- Collaborate with ML engineers to build enterprise-level platforms with cutting-edge models.
- Collaborate with open-source communities or academia to advance AI development.
Qualifications
Minimum Qualifications:
1. Have research or technical backgrounds in data streaming or batch processing, machine learning infrastructure, or participating in large-scale online machine learning platforms are preferred.
2. Have a robust background in infrastructure, with proven expertise in enhancing reliability, efficiency, and various other facets of infrastructure management.
3. Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as Python or Java.
4. Passion for new technologies and proven capability in analysis and problem-solving.
5. Good team player, communication skills and project management experience is preferred. Strong perseverance and courage to help the business to a higher level.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $145000 - $250000 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.