LightSpeed Retail

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

LightSpeed Retail$149K — $279K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, AI, Mathematics, or related field preferred.
  • Solid foundation in deep learning algorithms and large model R&D experience required.
  • Preferred experience with Diffusion Models, Autoregressive Models, and publications in top-tier conferences.
  • Familiarity with deep learning networks, model tuning, and distributed training optimization.
  • Participation in ACM/NOIP competitions is highly desirable.
  • Strong communication, teamwork, and learning skills with a curiosity-driven mindset.

Responsibilities

  • Engage in R&D of large-scale video world models, including training dataset design and foundational model algorithm optimization.
  • Scientifically analyze R&D challenges to identify performance bottlenecks and develop solutions.
  • Research diverse paradigms for implementing world models and next-generation architectures.
  • Establish and evaluate model capabilities and explore downstream application scenarios.
  • Accelerate development and iteration of world models to ensure competitiveness and leadership.

Benefits

  • Eligible for medical, dental, vision, life, and disability benefits.
  • Participate in the Company's 401(k) plan.
  • Up to 25 days of vacation per year, depending on tenure.
  • Up to 13 holidays throughout the calendar year.
  • Up to 10 days of paid sick leave per year.
Full Job Description
What the Role Entails

1. Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios.

2. Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership.

3. Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities.

Who We Look For

1. Bachelor's degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.

2. Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred.

3. Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus.

4. Participation in ACM/NOIP competitions is highly desirable.

5. Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.

Location State(s)

US-California-Palo Alto

The expected base pay range for this position in the location(s) listed above is $149,000.00 to $279,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis.Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year.Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.

About LightSpeed Retail

LightSpeed Retail is a cloud-based point-of-sale and e-commerce software provider for retailers and restaurateurs. The company was founded in 2005 by Dax Dasilva and is headquartered in Montreal, Canada. LightSpeed Retail's platform allows businesses to manage their inventory, process transactions, and analyze sales data. The company's mission is to help businesses grow by providing them with the tools they need to succeed. LightSpeed Retail has raised over $290 million in funding from investors such as Caisse de dépôt et placement du Québec, iNovia Capital, and Accel Partners.
Learn more about LightSpeed Retail
Size
1,000 employees
Market Cap
$18.4 billion
Industry
Founded
2005
5 Year Trend
+48.5%

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