AI Researcher

Harnham; San Francisco (CA); Hybride; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Equity

Résumé du poste

Harnham, a technology company at the intersection of generative AI and digital content, seeks an Applied AI Researcher to join its growing research and data organization in San Francisco. The role focuses on research, analysis, dataset design, and technical strategy, translating findings into practical data for state-of-the-art models.

You’ll collaborate with researchers, product teams, and stakeholders to shape data-centric AI initiatives.

Qualifications

• PhD in Computer Science, ML, CV or related field preferred.
• 2+ years of industry, research, or applied AI experience.
• Experience with generative AI systems and image/video generation.
• Ability to read and apply academic research to real-world problems.
• Strong written and verbal communication skills.
• Comfortable working across research, product, and business functions.

Responsabilités

• Evaluate state-of-the-art image and video generation models to understand strengths, weaknesses, and common failure modes.
• Review research papers, technical reports, benchmarks, and emerging model architectures.
• Identify opportunities where new datasets can improve model performance.
• Design dataset frameworks, metadata requirements, taxonomies, and quality standards.
• Define data requirements based on research findings and model evaluation results.
• Partner with product and operational teams to bring dataset initiatives from concept through delivery.
• Collaborate with external researchers and technical stakeholders on dataset strategy and data quality requirements.
• Incorporate market feedback and customer needs into research priorities where appropriate.
• Communicate complex technical findings to both technical and non-technical audiences.
• Translate research into execution with practical decision-making.

Connaissances

2+ years AI research

Generative AI experience

Strong communication

Cross-functional collaboration

Formation

PhD in CS/ML/CV

Description du poste

A technology company operating at the intersection of generative AI and digital content is seeking an Applied AI Researcher to join a growing research and data organization.

The company works with a global network of nearly one million creators and content contributors, providing high-quality datasets used to support the development of advanced AI systems. Current areas of focus include image generation, video generation, 3D content, and creative design applications.

As generative models continue to evolve, strong performance increasingly depends on the quality, structure, and diversity of training data. A dedicated research and data team is responsible for identifying where leading models struggle and designing datasets intended to improve performance in those areas. Work produced by the team helps bridge the gap between advances in AI research and the practical data required to support them.

The environment is highly collaborative and brings together researchers, product leaders, dataset specialists, and commercial stakeholders working toward a common goal: building better data for generative AI.

Work Authorization

Candidates must be authorized to work in the United States without current or future sponsorship. Sponsorship is not available for this role. Applicants must be U.S. Citizens or Permanent Residents (Green Card holders).

Visa types not supported include H-1B, H-1B Transfer, F-1 OPT, STEM OPT, CPT, TN, E-3, O-1, L-1, or any other employment authorization requiring current or future employer sponsorship.

Candidates requiring sponsorship now or in the future will not be considered.

The Role

The organization is looking for an Applied AI Researcher with experience working on or alongside generative models.

A successful candidate will possess a strong understanding of computer vision, image generation, model evaluation, and the relationship between training data and model performance. The role is centered on understanding how state-of-the-art models behave, identifying their weaknesses, and determining what data could help address those limitations.

Rather than focusing on large-scale model training, the position is focused on research, analysis, dataset design, and technical strategy. Responsibilities span the full process from identifying opportunities for improvement through defining the datasets needed to support those objectives.

The role offers significant visibility and the opportunity to influence how future generative AI systems are developed through a data-centric approach.

What You’ll Do

• Evaluate state-of-the-art image and video generation models to understand strengths, weaknesses, and common failure modes.
• Review research papers, technical reports, benchmarks, and emerging model architectures.
• Identify opportunities where new datasets can improve model performance.
• Design dataset frameworks, metadata requirements, taxonomies, and quality standards.
• Define data requirements based on research findings and model evaluation results.
• Partner with product and operational teams to bring dataset initiatives from concept through delivery.
• Collaborate with external researchers and technical stakeholders on dataset strategy and data quality requirements.
• Incorporate market feedback and customer needs into research priorities where appropriate.
• Communicate complex technical findings to both technical and non-technical audiences.

A meaningful portion of the role involves translating research into execution, requiring both technical depth and practical decision-making.

Qualifications

• PhD in Computer Science, Computer Vision, Machine Learning, or a related field preferred.
• 2+ years of industry, research, or applied AI experience.
• Experience building, evaluating, or working directly with generative AI systems.
• Strong understanding of how training data impacts model behavior and downstream performance.
• Experience with image generation, computer vision, or multimodal AI systems.
• Familiarity with dataset design, data quality evaluation, benchmarking, and model assessment.
• Ability to read and interpret academic literature and apply findings to real-world problems.
• Strong written and verbal communication skills.
• Comfortable working across research, product, and business functions.

Preferred Experience

Candidates may come from a variety of backgrounds, including:

• Generative image or video research
• Applied AI research
• Data-centric AI

Experience gained within research organizations, AI labs, product companies, or academic environments with a strong applied focus will all be considered.

Location

This position is based in San Francisco, California and follows a hybrid work schedule, with approximately three to four days per week spent in the office.

Compensation

The compensation package for this role includes:

• Meaningful equity participation, targeted around 0.2%, depending on experience and level

Why This Role

Most AI organizations focus on building models. Far fewer focus on understanding exactly what data those models need next.

This position offers the opportunity to work on some of the most important challenges in generative AI by helping determine how future datasets are designed, structured, and deployed.

Research conducted in this role will directly influence the development of next-generation image and video systems used across the industry.