Generative media synthesis: building the models behind features like Video Regenerate, lipsync, and video translation — photorealistic video and audio synthesis as production research, not demos.
Zero-shot voice and roomtone cloning: realistic cloning from only a few minutes of reference audio.
Multimodal understanding: vision-language systems that let Descript's agentic editing features reason over visual and audio content, plus the evals that balance quality against cost and latency.
Lead the technical vision for a scalable AI media production platform, architecting generative AI systems for precision and reproducibility.
Design and deploy modular, version-controlled image and video generation pipelines, integrating advanced control techniques like ControlNet and LoRA training.
Collaborate with creative leaders to build user-friendly workflows that empower non-technical teams to produce high-quality AI-powered content.
Jobgether uses AI-powered matching to connect candidates with job opportunities. This role is for a partner company building a next-generation AI media production platform, with a dynamic international team focused on innovation and collaboration.
Develop and deploy deep learning models to predict therapeutic intervention effects.
Design experiments and collaborate with cross-functional teams including biologists and wet lab scientists.
Validate models and communicate results to diverse audiences to drive informed decision-making.
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. It is a global company with offices in the US, Switzerland, and Serbia, fostering a collaborative and innovative culture.
Design, develop, and deploy models and systems that generate and edit designs, working closely with cross-functional teams to ship features that feel effortless to use.
Stay close to the latest deep learning and generative AI research, turning promising techniques into shipped production features.
Build and maintain the infrastructure and pipelines that get generation models into production at scale.
Canva is a graphic design platform that empowers users to create designs easily. With thousands of employees globally, Canva fosters a culture of creativity, inclusion, and flexibility.
Create concise 4–6-minute narrated screen-recording lessons demonstrating practical generative AI workflows for college-level learners.
Use tools such as ChatGPT, Claude, Gemini, or Copilot to demonstrate real-world professional applications.
Produce high-quality screen captures with clear voice narration and perform light video editing as needed.
This partner company focuses on creating accessible, practical educational content around real-world generative AI applications. The team works asynchronously with independent contractors, offering flexible project-based collaboration.
Support training, fine-tuning, and evaluation of neural foundation models.
Build and maintain data pipelines for petascale neurobehavioural datasets.
Prototype tools and demos to apply trained models to robotics and embodied AI tasks.
Netholabs builds AI grounded in biological intelligence by recording petascale neurobehavioural data to train neural foundation models. They are a small, fast-moving research team focused on AI, robotics, and personalized intelligence.
Design and build systems that generate synthetic environments for agent training and evaluation.
Build and maintain synthesis models for realistic replacement values at scale.
Build evaluation infrastructure that grades agent outcomes and discriminates between frontier models.
Tonic builds the data infrastructure behind modern AI, generating synthetic environments for agent training and de-identifying enterprise data. Eight years in, the company works with frontier AI labs and hundreds of enterprises, with a culture focused on solving hard data problems and shipping.
Assist in neurobehavioural recording and dataset annotation for model training.
Review and synthesize neuroscience literature to inform model features and experiments.
Analyze neural and behavioural data with Python and PyTorch to support model development.
Netholabs builds AI grounded in biological intelligence by recording petascale, high-resolution neurobehavioural data and training neural foundation models. They are a research-focused company with a collaborative culture.
Design and develop assistive AI technology for interactive 3D workflows.
Build NLP pipelines and knowledge graphs to extract intent and structure from user input.
Integrate cloud and client LLMs to drive creative workflows and ship features end-to-end.
Intangible is a spatial intelligence company for creatives in industries where space and movement matter. It is a venture-funded, remote-first interdisciplinary team of engineers, artists, and designers who have built products at major tech and entertainment companies.
Build the environments and verifiers our models train against
Own the synthetic data pipeline, from generation through quality gates
Ship models into production and keep improving them on real usage
LiveKit builds the infrastructure layer for the voice-driven era of computing, enabling developers to build, deploy, and scale voice AI applications. Founded in 2021, they power voice AI for major companies and have a small, senior team that values craft and creativity.
Build deep-learning models on market data from raw data to production.
Own the entire ML pipeline including infrastructure, evaluation, and reproducibility.
Work closely with traders and researchers in a live trading operation.
Deeter Analytics is a privately held investment research and trading firm that manages its own capital across public markets. It is a small, fully remote team with a low-ego culture.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.
You will rate and assess the performance of AI models based on their output or behavior.
You will label elements of content and assign predefined categories to generate training data.
You will create prompts, summaries, and evaluate relevance to improve AI system understanding.
Innodata (Nasdaq: INOD) is a global data engineering company that provides data, evaluation frameworks, and human expertise for AI systems. The company has a 36+ year legacy of delivering high-quality data and outstanding outcomes for customers.
Develop and scale latent video diffusion models for human-centric video generation.
Lead end-to-end applied research and engineering projects from hypothesis to production.
Optimize distributed training and inference for large-scale deployment.
They develop production-grade foundation models for human-centric video generation. The team operates in a high-ownership, fast-paced environment with a focus on safety and ethics.
Design, develop, train, and evaluate machine learning models for interpreting complete CT studies.
Research foundation-model approaches for medical imaging, including 3D and volumetric learning at large scale.
Develop vision-language models connecting medical images with radiologist terminology and reporting patterns.
Our partner is a research-driven team building next-generation AI models to understand complete CT studies. They work with a dataset of approximately 10 million patients and collaborate with fellowship-trained radiologists across multiple specialties.
Serve as technical lead for the Scene Generation team, setting technical direction and priorities.
Implement and guide the team in applying the latest advances in Neural Rendering and generative models.
Mentor engineers, drive alignment across teams, and own the neural rendering framework end to end.
Torc has been a leader in autonomous driving since 2007, commercializing solutions for automated trucks. Now part of the Daimler family, the company focuses on developing software for automated freight trucks, with a collaborative, energetic, and team-focused culture.
Deploy and configure our AI voice agent for new customers, reducing onboarding effort.
Build evaluation suites to validate behavior, catch regressions, and tune prompts.
Develop new features and fixes to optimize latency, inference cost, and hallucination guardrails.
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. With over 400 employees, 30,000+ customers, and $100 million+ in annual revenue, the company fosters a collaborative culture that values innovation and cutting-edge product development.
Lead the end-to-end lifecycle of language models and AI solutions, from research to production.
Navigate between closed and open-source ecosystems to maximize quality, optimize latency/cost, and ensure data governance.
Conduct applied research, experimentation, and data curation to create new AI capabilities and continuously improve existing ones.
Blip is a technology company that develops conversational AI and customer service platforms. The company fosters a culture of innovation and technical excellence, with a team of engineers and researchers working on cutting-edge AI solutions.
Passionate about building AI models from the ground up and deploying them in production
Excited about joining early-stage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AI-powered products
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Design and optimize training and post-training pipelines for large language models.
Improve model quality through supervised fine-tuning, reinforcement learning, and evaluation.
Build PyTorch-based training infrastructure and optimize distributed training across multi-GPU environments.
Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems, founded in 2019. They are a global company with offices in New York, San Francisco, Seattle, and London, backed by major venture capital firms, and foster a builder culture that values urgency, ownership, and open communication.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use and multi-step execution.
Build evaluation frameworks to measure AI quality and reliability.
Gina's Tech Jobs is an IT staffing and recruiting agency that specializes in placing technology professionals. They partner with companies to fill roles such as this one, offering a wide range of positions.