• Conduct research to develop new functionalities and improve existing technologies for real-time video processing. • Publish patents and peer-reviewed papers in top computer vision, audio, and speech conferences. • Collaborate with other research engineers and contribute to regular research reviews and code reviews. • Design, implement, and evaluate algorithms related to video processing and meeting analytics. • Help deploy research models and tools in partnership with engineering teams. • Participate in cross-functional team meetings and provide insights based on research findings.

• Design and develop novel streaming ASR architectures, pushing the boundaries of accuracy-latency tradeoffs in production systems. • Research and prototype LLM-assisted speech-to-text—exploring how large language models can enhance streaming speech recognition and understanding. • Develop new algorithms for streaming speaker diarization, contextual biasing, and multilingual speech recognition. • Drive research from initial experimentation through rigorous evaluation to production deployment, working closely with engineering teams. • Conduct systematic experiments on internal and public benchmarks, with careful attention to evaluation methodology and statistical rigor. • Contribute to technical publications and represent AssemblyAI's research at top venues. • Collaborate on research direction and technical strategy, helping shape the roadmap for Speech AI capabilities.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for Machine Learning Engineers who can help us build new multimodal AI systems for media generation. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment. What you’ll do - Develop innovative research projects in computer vision, focusing on generative models for image and video - Work with a world-class engineering team pushing the boundaries of content creation on the browser - Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production Qualifications - 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics - Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow) - Very strong programming skills and ability to write clean and maintainable research code - Deep interest in building human-in-the-loop systems for creativity - Ability to rapidly prototype solutions and iterate on them with tight product deadlines - Strong communication, collaboration, and documentation skills Requirements - Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. - Salary range: $270,000-$370,000 - There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. - The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. - Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Benefits - We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. - So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. Company Description - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios - We're excited to be recognized as a best place to work - Crain's - InHerSight - BuiltIn NYC - INC

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description IonQ is looking for a Senior Staff Scientist – Fault-Tolerant Quantum Algorithms to help lead the technical development of highly differentiated quantum solutions that will bring value to society. As a Senior Staff Scientist, you’ll guide a cross-functional team central to IonQ’s mission to solve the world’s most complex problems using the world’s best quantum computers. As a technical leader in the field of fault-tolerant algorithms, you will: - Help discover the next generation of quantum applications that will exceed state-of-the-art classical methods. - Drive research into new quantum algorithms and develop IP, computational resource models, long-term roadmaps, and end-to-end workflows. - Work closely with product, engineering, marketing, sales, operations, and external customers/partners. - Represent IonQ at high-visibility technical conferences. Responsibilities - Influence the quantum applications roadmap towards fault-tolerant quantum algorithms. - Lead the origination, execution, and optimization of novel, end-to-end quantum algorithms. - Perform detailed resource analyses of quantum algorithms and conduct SWOT analysis of FTQC approaches. - Provide trusted expertise and leadership in FTQC algorithms. - Lead technical interactions across multi-disciplinary teams to solve real-world problems. - Define, develop, and drive adoption of benchmarking and resource estimation methodologies. - Develop a portfolio of foundational IP and high-impact-factor peer-reviewed publications. Qualifications - PhD in physics, mathematics, computer science, or similar field, or equivalent work experience + 5 years in the quantum computing field. - 13+ years of professional experience or an equivalent combination of education and experience. - Demonstrated expertise in FTQC algorithms that can scale to millions of qubits. - Active participant in the FTQC algorithm community. - Relentless dedication to optimizing algorithmic performance. - Mastery of key mathematical techniques used in quantum computing. Requirements - 7+ years of professional work experience developing FT quantum algorithms. - Deep expertise in quantum algorithms for relevant use cases. - Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++. - Experience proposing, winning, and executing on consultative contracts. - Experience commercializing end-to-end software utilizing hybrid computing. Location This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA, Toronto, Canada, Gothenburg, Sweden) or fully remote in the US. Travel 10% domestic and international. Compensation The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity. Benefits - Comprehensive medical, dental, and vision plans. - Matching 401K. - Unlimited PTO and paid holidays. - Parental/adoption leave. - Legal insurance. - Home internet stipend. - Pet insurance. Company Description IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are at the forefront of this technological revolution, aiming to redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, and cryptography.