Hunyuan Multimodal Algorithm Researcher intern(Omni-Modal)

Lightspeed Studios; Palo Alto (CA); Presencial; USD 80.169 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid sick leave

Medical plan enrollments

Descripción de la vacante

Lightspeed Studios in Palo Alto is seeking a talented researcher to focus on the design and development of Omni multimodal models. Responsibilities include optimizing training data, analyzing R&D challenges, and exploring new paradigms for model capability.

The ideal candidate holds a degree in Computer Science or a related field and has strong hands-on experience with deep learning algorithms. The position offers a competitive salary and benefits including paid sick leave and medical plan enrollment.

Formación

• Bachelor's degree in a relevant field preferred.
• Hands-on experience in multimodal data processing highly preferred.
• Solid foundation in deep learning algorithms and experience in large model development.

Responsabilidades

• Conduct R&D of Omni multimodal models and training data.
• Analyze R&D challenges and identify solutions.
• Explore diverse paradigms for multimodal understanding and generation.

Conocimientos

Large-scale multimodal data processing

Deep learning algorithms

Teamwork

Communication skills

Educación

Bachelor’s degree in Computer Science, AI, Mathematics

Descripción del empleo

Responsibilities

• Conduct research and development of Omni multimodal large models, including design and construction of training data, foundational model algorithm design, optimization related to pre-training/SFT/RL, model capability evaluation, and exploration of downstream application scenarios.
• Scientifically analyze challenges in R&D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading‑edge performance.
• Explore diverse paradigms for achieving Omni‑modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models.

Qualifications

• Bachelor’s degree (full‑time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized.
• Hands‑on experience in large‑scale multimodal data processing and high‑quality data generation is highly preferred.
• Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top‑tier conferences or experience in cross‑modal (e.g., audio‑visual) research is preferred.
• Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization; practical experience is a plus.
• Participation in ACM or NOI competitions is highly valued.
• Strong learning agility, communication skills, teamwork, and curiosity.

Location: US-California-Palo Alto

Base Pay: $80,169.00 to $120,000.14 per year (actual pay may vary based on job‑related knowledge, skills, and experience).

Benefits: Eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Full‑time interns also eligible to enroll in Company‑sponsored medical plan (subject to applicable plans).

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.