About Fixie:We’re is a Seattle-based AI startup (with support for working remotely). We’ve raised $17M in seed funding. Our vision is simple: build artificial intelligences that can communicate as naturally as humans. We’re a small team of researchers and engineers with a deep focus in speech and real-time technologies. Our core model, Ultravox, is open-source. We also build a serving stack that’s optimized for very low-latency interactions. The Role:As a Research Engineer & Scientist working on foundational multimodal models, you will lead the effort to develop the next-generation speech understanding capabilities for Ultravox, our open-source speech-to-speech model. What You'll Do:<ul><li>Lead critical research on speech understanding in both pre-training and post-training stages, addressing core challenges in linguistic and paralinguistic comprehension of human speech.</li><li>Collaborate with a team of researchers and engineers to develop foundational multimodal models with comprehensive capabilities in speech understanding, speech generation, and full-duplex real-time communication.</li><li>Develop novel models based on public and proprietary data sources.</li><li>Build tools to improve our data flywheel and measure model quality.</li><li>Drive the optimization and deployment of AI models for real-world applications in partnership with engineering and product teams.</li></ul> Things We're Looking For:<ul><li>An incredibly strong AI researcher with a track record of contributions to AI research, systems, and products.</li><li>Experience with large language models, speech models, and multimodal models.</li><li>Strong experience in Python and, ideally, PyTorch.</li><li>Ability to roll up your sleeves and get things done.</li><li>A great communicator and team player.</li></ul> Benefits:<ul><li>Generous equity package</li><li>Unlimited PTO (take time when you need it)</li><li>Top-of-market salary</li><li>Great healthcare</li><li>401k with match</li></ul>

About us At Ethosphere we are combining hardware, software and AI technologies to build an AI-powered coaching engine for frontline retail employees. We are partnering with major retail brands to engage, develop and grow retail associates into exceptional sellers, who feel seen, heard and celebrated in the flow of their work. Ethosphere believes in a world where AI gives humans superpowers to achieve greatness, while deepening our connections to one another, as humans. Our Working Ethos Our mission is to help companies elevate and celebrate the people who bring their brands to life every day. As a team, we come together to innovate, ideate and iterate to collectively capture the potential that AI holds for every individual. We invite dissent in the pursuit of excellence and approach every business opportunity with a growth mindset, while celebrating our collective and individual successes. About our Shop We’re tackling ambitious challenges on an exciting roadmap, developing software that operates at the edge and in the cloud. Our backend services run on Kubernetes, utilizing cloud-based APIs from AWS and GCP. We focus on building core, strategically important technology while leveraging cloud services and open-source solutions where it makes sense. To support our product, we work with signal processing algorithms, advanced speech separation and recognition models, large language models (LLMs), retrieval-augmented generation (RAG), and agent-based systems. Primarily a Python shop, we also dive into C, C++, Go, and CUDA to tackle complex problems as needed.We’re looking for talented, driven engineers to join our team early on. We value passion, commitment to high-quality work, constant learning, and humility to collaborate and learn from others. Here, you’ll have significant ownership and direct impact on all aspects of our product. We’ll support, mentor, and help you grow in your career along the way. About the Role As the Lead AI Research Engineer at Ethosphere, you will drive the development and application of advanced AI technologies across all aspects of our engineering stack that will help provide impactful and personalized coaching for frontline employees at scale. In this role, you will: <ul><li>Design and implement advanced neural network models for audio separation, enhancement, and related speech processing tasks, leveraging transformer-based models, and convolutional neural networks (CNNs).</li><li>Lead the effort to optimize the performance of these models on various hardware platforms including Nvidia / AMD GPUs and Qualcomm NPUs. </li><li>Design, implement, and refine intelligent agents within an AI-powered coaching engine for frontline retail employees, using a complex, multi-step agentic LLM analysis framework that leverages contextual learning, memory, and retention to deliver personalized and adaptive coaching and support ongoing employee growth and engagement.</li><li>Implement a lifecycle approach to model development by continually enhancing model robustness and performance, using iterative improvements that adjust based on real-world interactions and performance metrics.</li><li>Maintain and optimize codebases in Python and PyTorch to enable scalable and cost effective inference strategies.</li></ul> You may be a good fit if you have: <ul><li>A Master's/ PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field.</li><li>A strong foundation in deep learning, with a focus on transformer models, convolutional neural networks, LSTM networks, self-attention mechanisms, audio signal processing, or natural language processing.</li><li>Proven experience in designing, training, and optimizing neural network models, particularly for audio and speech separation tasks, using frameworks like PyTorch.</li><li>Hands-on experience in training, fine-tuning and deploying large language models.</li><li>Proficiency in Python and experience with machine learning libraries and toolkits such as NumPy, SciPy, and Librosa, with familiarity in integrating CNNs with other architectures like Hugging Face Transformers.</li><li>Hands-on experience with audio data preprocessing, spectrogram generation, and augmentation techniques to improve model robustness.</li><li>Advanced knowledge of computational efficiency, deploying low-latency models for edge applications on Qualcomm GPUs or NPUs. </li><li>A background in research and development for machine learning, ideally demonstrated through publications, projects, or contributions to open-source repositories.</li><li>Familiarity with recent advancements in agentic LLM development and a passion for applying agentic learning and memory mechanisms to improve AI-driven interactions and engagement.</li><li>Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases.</li><li>Familiarity with GitHub and collaborative code development practices, including maintaining clear documentation, writing modular code, and implementing reproducible experiments.</li><li>The ability to work effectively in a fast in an environment where things are sometimes loosely defined.</li></ul>

AIML - Machine Learning Research Engineer, Foundation Models Seattle,Washington,United States Machine Learning and AI We are a group of engineers and researchers responsible for building foundation models at Apple. We build infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities and apply these models to Apple products. **Description** We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of millions of users. **Minimum Qualifications** + Proven track record in training or deployment of large models or building large-scale distributed systems. + Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow. + Ability to work in a collaborative environment. **Key Qualifications** **Preferred Qualifications** + Web-scale information retrieval + Human-like conversation agent + Multi-modal perception for existing products and future hardware platforms + On-device intelligence and learning with strong privacy protections + PhD, or equivalent practical experience, in Computer Science, or related technical field. **Education & Experience** **Additional Requirements** **Pay & Benefits** + At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $0 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. + Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Are you passionate about shaping the future of artificial intelligence and machine learning in the robotics field? Our rapidly growing startup is looking for an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders eager to innovate and push the boundaries of AI technologies that will be integral to the development of autonomous robotic systems. Located in Seattle, this position offers a vibrant environment to be at the forefront of AI research that will directly influence the next generation of robotics technology. In this role, you will be working with a small group of AI researchers advancing bimanual manipulation and using multimodal models to create better human-robot collaboration. You will be reading the latest papers, evaluating and implementing algorithms, and sharing your findings internally with our teams and externally in the AI community. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around. This role is located onsite at our Seattle, WA office. Responsibilities: <ul><li>Design and build experimental machine learning pipelines that underpin core functionality of our robotics solutions.</li><li>Keep up to date with the latest robotics ML research and implement promising techniques.</li><li>Collaborate with cross-functional teams to integrate AI models and data pipelines into real-world robotic applications, ensuring robust and scalable outcomes.</li></ul> Minimum Qualifications: <ul><li>Master's degree in Machine Learning, AI, Robotics, Computer Science, or a related technical field. </li><li>Understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.), and imitation / reinforcement learning.</li><li>Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow, or similar. </li><li>Familiarity with robotics and simulation stacks.</li><li>Highly motivated teammate with excellent oral and written communication skills.</li><li>Ability to work in a dynamic and collaborative team environment.</li><li>Must have and maintain US work authorization.</li></ul> Preferred Qualifications: <ul><li>PhD in Machine Learning, AI, Robotics, Computer Science, or a related technical field.</li><li>Demonstrated ability to design and implement ML experimentation and data pipelines with high-quality code that enables fast iteration cycles.</li><li>Experience with grasping, dexterous, and/or bimanual manipulation</li><li>Practical experience with ML software engineering best practices - for example, experiment tooling, data pipelines, model training, and workflow automation. </li><li>Familiarity with edge compute architectures.</li></ul> The base salary range for this position is $170,000 - $220,000 plus equity and comprehensive benefits. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position in Seattle, WA. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Collaborative Robotics is committed to a diverse and inclusive workplace. Collaborative Robotics is an equal opportunity employer and does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know. To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.

Research Engineer Jobs in Seattle, WA

Machine Learning Research Engineer Agent Applications
November 16, 2024

Research Engineer Scientist Speech Generation
November 12, 2024

Lead Research Engineer Applied Ai
November 3, 2024

Aiml Machine Learning Research Engineer Foundation Models
October 27, 2024

Aiml Machine Learning Research Engineer Foundation Models
October 26, 2024

Ai Research Engineer
October 24, 2024

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Research Engineer Jobs in Seattle, WA

Machine Learning Research Engineer Agent ApplicationsNovember 16, 2024

Research Engineer Scientist Speech GenerationNovember 12, 2024

Lead Research Engineer Applied AiNovember 3, 2024

Aiml Machine Learning Research Engineer Foundation ModelsOctober 27, 2024

Aiml Machine Learning Research Engineer Foundation ModelsOctober 26, 2024

Ai Research EngineerOctober 24, 2024