AI Inference Engineer QVAC (100% remote Worldwide)
Tether Operations Limited · RemoteRemote
AI Researcher (AV) Internship (PhD Student)
General Motors · Herzliya, IsraelHybrid · Internship · Intern
2027 Summer Intern, Machine Learning, MS/PhD, Simulation Realism (World Model)
Waymo · Mountain View, US· Hybrid · Internship · Intern
Co-op, AI for Protein Design
Lila Sciences · San Francisco, USInternship · Intern
Research Scientist Intern, Generative AI & 3D Generation (PhD)
Meta · Burlingame, USOn-site
Research Scientist / Research Engineer (Computer Vision & Generative)
Weekday AI · Chennai, India
Senior Software Engineer, AI/ML, ML Training
Google · Sunnyvale, US+1 more · On-site · Senior
Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Nanyang Technological University Singapore · Singapore
Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Nanyang Technological University Singapore · Singapore
Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Nanyang Technological University Singapore · Singapore, SingaporeOn-site · Full-time · Senior
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Tether Operations Limited · Posted Nov 9, 2026
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Own the inference backbone behind QVAC's local AI stack, engineering quality at runtime level for on-device AI experiences.
Work on deploying machine learning models to edge devices using frameworks such as llama.cpp and ggml Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments Integrate AI features into existing products, enriching them with the latest advancements in machine learning A degree in Computer Science, AI, Machine Learning, or a related field Nice to have: train/fine-tune a LLM Nice to have: productionize models Nice to have: research experience in new model architectures Nice to have: experience with distributed systems General Motors · Posted Nov 9, 2026
Lead research and prototyping of advanced machine learning methods for autonomous driving.
Lead research and prototyping of advanced machine learning methods Prototype ML models that improve perception, prediction, or decision-making for autonomous driving Collaborate with cross-functional teams Participate in technical discussions, share insights, and work towards publishing results Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or related technical field Nice to have: familiarity with autonomous vehicles or advanced driver assistance systems (ADAS) Nice to have: experience with large-scale datasets and training ML models in high-performance computing environments Nice to have: grants Nice to have: patents Waymo · Posted Nov 6, 2026
Implement, train, and evaluate generative models for video and physical world simulation.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70—$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85—$85 USD
Implement, train, and evaluate generative models (such as diffusion models, flow matching, or autoregressive transformers) for video and physical world simulation. Experiment with unified 3D/4D and spatiotemporal representations that generalize across diverse scenes, vehicle platforms, and sensor modalities. Investigate conditioning, fine-tuning, or distillation methods to improve temporal consistency, physical realism, and inference speed for closed-loop simulation. Partner with mentors and researchers across Waymo and frontier AI labs at Google to adapt foundation world models and translate research prototypes into Waymo’s simulation pipeline. MS or PhD in Computer Science, Machine Learning, Computer Vision, Robotics, or a related field Nice to have: video generation Nice to have: world models Nice to have: 3D/4D scene representations Nice to have: 3D computer vision Lila Sciences · Posted Nov 6, 2026
PhD‑level co‑op in the Life Science AI team focusing on generative and predictive models for protein and antibody design.
Research generative and predictive models for protein and antibody design Analyze experimental datasets to evaluate model outputs and guide design decisions Prototype workflows linking model predictions, candidate prioritization, and wet‑lab feedback Build datasets and benchmarks that support both domain‑specific and general AI research models Share results through code, notebooks, and presentations PhD student in CS, ML, computational biology, bioengineering, biophysics, or a related field Nice to have: protein language models Nice to have: structure prediction Nice to have: generative design Nice to have: antibody design Meta · Posted Nov 6, 2026
Research Scientist Intern focused on generative AI and 3D generation within Meta Reality Labs.
Research, develop and prototype advanced technologies in the domain of 3D Generation, Computer Vision, Computer Graphics, using ML methods including diffusion models, LLMs, and Agentic RL. Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps. Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research. Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products. PhD degree in computer science, electrical engineering, or related fields Weekday AI · Posted Nov 6, 2026
Lead AI research on computer vision and generative modeling, translating insights into production-ready solutions.
Salary range: Rs 2500000 - Rs 7000000 (ie INR 25-70 LPA)
Design, implement, and benchmark advanced computer vision algorithms for image understanding and generation. Develop and refine diffusion models and other generative frameworks tailored to specific application domains. Conduct rigorous experimental evaluation and ablation studies to validate model performance. Collaborate with software teams to integrate research prototypes into scalable production pipelines. Publish research papers and present at leading conferences to establish thought leadership. PhD or master’s degree in Computer Science, Electrical Engineering, or related field with a focus on computer vision or generative modeling. Google · Posted Nov 6, 2026
Lead software development for AI/ML products, focusing on model deployment, performance optimization, and generative AI within Google’s JAX Models and Performance team.
Sunnyvale, California, United States Kirkland, Washington, United States US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Write and test product or system development code Collaborate with peers and stakeholders through design and code reviews Contribute to existing documentation or educational content Triage product or system issues and debug/track/resolve Design and implement solutions in specialized ML areas leveraging ML infrastructure Bachelor’s degree in Computer Science or related field Nice to have: Master's degree or PhD in Computer Science or related technical field Nanyang Technological University Singapore · Posted Nov 6, 2026
Literature review of existing methods and models Identify the weaknesses of existing models Propose and develop state-of-the-art methods to overcome existing problems Train and evaluate the models and systemically compare them with recent models Prepare papers and reports PhD in Computer Engineering PhD in Computer Science PhD in Electronics Engineering equivalent Nanyang Technological University Singapore · Posted Nov 6, 2026
Research Fellow focused on advancing deep learning methods in areas such as watermarking, object detection, and video processing.
Literature review of existing methods and models Identify weaknesses of existing models Propose and develop state‑of‑the‑art methods Train and evaluate models and compare with recent models Prepare papers and reports PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent Nanyang Technological University Singapore · Posted Nov 6, 2026
A research role focused on cutting-edge AI, Data Science, and Computing, specifically involving deep learning, foundation models and diffusion models.
Literature review of existing methods and models Identify the weaknesses of existing models Propose and develop state-of-the-art methods to overcome existing problems Train and evaluate the models and systemically compare them with recent models Prepare papers and reports PhD in Computer Engineering Computer Science Electronics Engineering Nice to have: publication record at top AI conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, and TMM)
generous benefits programs
Nice to have: experience with ML accelerators performance tuning
Nice to have: experience with MoE or diffusion models optimization Health, dental, vision, life, disability insurance 401(k) with company match Paid Time Off: 20 days vacation per year Sick Time: 40 hours/year (69 hours in Seattle) Maternity Leave: 28-30 weeks
2027 Summer Intern, Machine Learning, MS/PhD, Simulation Realism (World Model)Waymo · Mountain View, US
Co-op, AI for Protein DesignLila Sciences · San Francisco, US
Research Scientist Intern, Generative AI & 3D Generation (PhD)Meta · Burlingame, US
Senior Software Engineer, AI/ML, ML TrainingGoogle · Sunnyvale, US+1 more