Join to apply for the Applied Research Engineer - Video Data & ML, Mid-Level (Remote) role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Applied Research Engineer - Video Data & ML, Mid-Level (Remote) role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Turing is seeking an Applied Research Engineer specializing in video generation and machine learning to enhance datasets and workflows for next-generation video synthesis models. The role involves collaborating with ML teams to curate training data, contributing to model experiments, and refining workflows for high-fidelity video generation. Responsibilities: • Co-develop structured guidelines for datasets powering generative models, with an emphasis on: • Prompt-conditioned video generation (text-to-video, image-to-video) • Consistency in motion, temporal coherence, and visual quality • Control signal labeling (e.g., camera trajectories, depth, optical flow) • Style, identity, or scene constraints across frames • Collaborate with ML stakeholders to align data specs with generation tasks such as video inpainting, editing, expansion, or simulation-to-real synthesis. • Analyze where dataset limitations are causing poor outputs or failure cases in generative benchmarks (e.g., Video-Bench, VBench, or internal video synthesis metrics). • Recommend guideline updates and synthetic data augmentations based on output inspection and metric evaluations (FID, IS, CLIP similarity, etc.). • Assist in fine-tuning or conditioning small video generation models (e.g., diffusion-based or transformer-based architectures) under the guidance of senior engineers. • Run targeted experiments to evaluate model behavior across data variations and prompt types. • Build structured review protocols for evaluating generated video content, including: • Temporal jitter or drift • Semantic coherence with prompts • Help define feedback loops for iterative data refinement and edge-case tracking. • Act as a liaison between ML engineers, data operations, and evaluation teams to ensure dataset alignment with generative objectives. • Produce clear documentation and updates on data design, annotation strategy, and model performance feedback. Qualifications: Required: • 3–5 years of experience in computer vision, applied ML, or generative AI, especially with video, image, or temporal modeling. • Familiarity with video synthesis techniques, including diffusion models, transformer-based generators, or GAN variants. • 3+ years of experience writing production-quality software, preferably in machine learning, AI, or data science contexts. • Proficiency in Python and familiarity with libraries such as PyTorch, Keras, scikit-learn, and Hugging Face. • Hands-on experience with basic fine-tuning or evaluation of generative models (e.g., with PyTorch, TensorFlow, Hugging Face, or Runway). • Exposure to tools or platforms for dataset curation and video inspection (e.g., CVAT, custom viewers, or synthetic data generators). • Strong grasp of the data lifecycle in generative AI—annotation, prompt engineering, synthetic data usage, and evaluation. • Ability to read ML/AI research papers (e.g., on video diffusion, text-to-video, or controllable generation) and apply insights to dataset or model design. • Excellent communication skills —confident in presenting technical findings, coordinating with stakeholders, and translating between research and delivery teams. Company: Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs. Founded in 2018, the company is headquartered in Palo Alto, California, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Turing has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. 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Increase your chances of reaching the interview stage by reading the complete job description and applying promptly. #J-18808-Ljbffr Remote working/work at home options are available for this role.