Machine Learning Engineer in California

The main job directions include:
1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme;
2. Data construction, instruction tuning, preference alignment, and model optimization;
3. Implementation of relevant applications, including content generation, reasoning, code generation, etc.;
4. Collaborating with cross-functional teams to produce and apply new science to more responsibly develop and deploy large language models;
5. In-depth research and exploration of more usage scenarios in future life.

Requirements

1. Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc. are preferred;
2. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.
3. Familiar with NLP,...

• Lead the team to design, build, optimize e-commerce governance algorithm pipeline using NLP/CV/ML to detect and control risks in contents/creators/products/sellers in global markets
• Build, expand and manage the global e-commerce governance algorithm team from scratch
• Collaborate with strategy team, product managers, policy team and ops team to define products and drive initiatives from engineering viewpoints

Requirements

• Bachelor's degree in Computer Science or related technical field
• 7+ working experience in one of the following fields: machine learning , NLP and computer vision
• Experience with software development in one or more programming languages
• Experience in leading an engineering team
• Experience in anti-fraud/anti-spam/platform-integrity or related fields is a big plus
• Strong sense of responsibility and good at communication and teamwork
• Passionate about solving complex and challenging...

Location: USA/Washington/Seattle Area,

USA/California/SF Bay Area/San Jose

Requirements

About The Team:

Responsible for the research and application of the company's large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of life and communication in the future world.

The main job directions include:

1. Exploring and developing large-scale language models and optimizing enterprise applications to the extreme;

2. Data construction, instruction tuning, preference alignment, and model optimization;

3. Implementation of relevant applications, including content generation, reasoning, code generation, etc.;

4. Collaborating with cross-functional...

What You'll Do:

- Participate in the development of a large-scale Ads system.

- Responsible for the development of state-of-the-art applied machine learning projects.

- Own key targeting components or strategies in the ads monetization ecosystem.

- Work with product and business teams on product vision.

Requirements

- BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.

- 4+ years of experience in and good theoretical grounding in machine learning concepts and techniques.

- Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.

- Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc

- Ability to think critically and to formulate solutions to problems in a clear and concise way.

- Preferred experience: ads...