Goliath Partners
Machine Learning Researcher
Goliath Partners, San Francisco, California, United States, 94199
This range is provided by Goliath Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $500,000.00/yr - $1,000,000.00/yr
Principal Recruitment Consultant at Goliath Partners A well-funded, independent AI research lab is building the next generation of multimodal foundation models—systems that understand and express ideas across text, audio, video, and 3D interactive environments in real time.
The team’s north star is humanistic general intelligence: AI that doesn’t just reason, but perceives, responds, and communicates with emotional depth, expressive nuance, and creative intent. This is a rare opportunity to work on a frontier problem space with deep technical freedom and long‑term research horizons.
What You’ll Do
Driving research on generative foundation models for video, from ideation through prototype and production
Designing and evaluating large‑scale generative algorithms and training schemes for high‑fidelity video synthesis
Developing efficient image/video representations, latent spaces, and training objectives
Identifying critical research directions and contributing to the lab’s long‑term video‑generation roadmap
Designing and curating large, high‑quality multimodal datasets, collaborating across research, product, and data teams
What You Bring
PhD in CS, EE, Mathematics, or related field or equivalent applied research experience
3+ years working in one or more of:
Video diffusion or autoregressive video modeling
Image/video representation learning at scale
Deep expertise in modern generative modeling: Diffusion, Flow Matching, Autoregressive Transformers, Mamba‑style architectures, VAE, GANs
Strong programming foundations (Python) and practical ML engineering skills
Ability to operate independently, explore novel ideas aggressively, and communicate research clearly
Preferred Experience
Publications at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, or similar
Hands‑on experience with large‑scale distributed training (FSDP, ZeRO, data/model parallelism)
Deep understanding of diffusion variants (DDIM, flow matching, rectified flows, etc.)
Strong software engineering fundamentals and an interest in building real systems, not just prototypes
Thrives in a fast, iterative, research‑driven startup environment
Total Comp: 500,000-1,000,000
Seniority level Mid‑Senior level
Employment type Full‑time
Referrals increase your chances of interviewing at Goliath Partners by 2x
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Base pay range $500,000.00/yr - $1,000,000.00/yr
Principal Recruitment Consultant at Goliath Partners A well-funded, independent AI research lab is building the next generation of multimodal foundation models—systems that understand and express ideas across text, audio, video, and 3D interactive environments in real time.
The team’s north star is humanistic general intelligence: AI that doesn’t just reason, but perceives, responds, and communicates with emotional depth, expressive nuance, and creative intent. This is a rare opportunity to work on a frontier problem space with deep technical freedom and long‑term research horizons.
What You’ll Do
Driving research on generative foundation models for video, from ideation through prototype and production
Designing and evaluating large‑scale generative algorithms and training schemes for high‑fidelity video synthesis
Developing efficient image/video representations, latent spaces, and training objectives
Identifying critical research directions and contributing to the lab’s long‑term video‑generation roadmap
Designing and curating large, high‑quality multimodal datasets, collaborating across research, product, and data teams
What You Bring
PhD in CS, EE, Mathematics, or related field or equivalent applied research experience
3+ years working in one or more of:
Video diffusion or autoregressive video modeling
Image/video representation learning at scale
Deep expertise in modern generative modeling: Diffusion, Flow Matching, Autoregressive Transformers, Mamba‑style architectures, VAE, GANs
Strong programming foundations (Python) and practical ML engineering skills
Ability to operate independently, explore novel ideas aggressively, and communicate research clearly
Preferred Experience
Publications at CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, SIGGRAPH, or similar
Hands‑on experience with large‑scale distributed training (FSDP, ZeRO, data/model parallelism)
Deep understanding of diffusion variants (DDIM, flow matching, rectified flows, etc.)
Strong software engineering fundamentals and an interest in building real systems, not just prototypes
Thrives in a fast, iterative, research‑driven startup environment
Total Comp: 500,000-1,000,000
Seniority level Mid‑Senior level
Employment type Full‑time
Referrals increase your chances of interviewing at Goliath Partners by 2x
#J-18808-Ljbffr