New Staff Audio Systems Engineer Remote, US or Canada - NYC preferred About the Company Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff. Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes. About the Role We are seeking a highly-skilled Staff Audio Systems Engineer to own and lead the design and execution of digital audio processing systems and embedded audio software for our devices, platforms, and systems. As a senior member of the hardware engineering team, you will play a pivotal role in shaping the future of our solutions. You will drive innovation in 2-way communications, dictation, and high-fidelity audio performance, ensure the integration of cutting-edge technologies and deliver audio solutions that meet the highest standards of quality, low latency, and reliability across the lifecycle of all of Inspiren’s devices and platforms. What You'll Do Lead Audio Systems Projects: Oversee the end-to end development of embedded audio systems, software, and firmware for new devices from concept to mass production release. Collaborate Cross-Functionally: Work closely with hardware engineers, embedded systems engineers, software developers, product managers, key stakeholders, and our outsourced manufacturing partners to define system requirements and specifications per product needs. Innovate and Optimize: Stay current with industry trends and emerging technologies. Introduce new methodologies and technologies to enhance performance and meet design specifications. Provide deep technical expertise and support in audio system development, testing, and validation across the product lifecycle. Embed Rigorous Design for Excellence (DfX) Mindset: Conduct design reviews and both design and process Failure Mode Effect Analysis (FMEA), partnering with our design and development partners to drive rigorous Design for Cost (DfX), supply chain, reliability, quality, and manufacturing methodologies across all phases of product development. Mentor Team Members: Provide technical guidance and mentorship, fostering a culture of excellence and innovation through a culture of continuous learning. Ensure Quality, Reliability, and Compliance: Oversee the prototyping process, conduct testing, and verify audio systems performance and reliability against product requirements. Ensure all embedded software meets regulatory standards and industry best practices. Set quality and reliability specifications. Problem-Solve: Troubleshoot complex audio design issues and implement effective solutions in a timely manner. What You Bring Educational Background: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Audio Engineering, or a related engineering field Experience: 10+ years of experience in embedded audio systems engineering including the successful launch and ongoing maintenance of multiple products DSP & Algorithm Prototyping: Proficiency in developing and tuning real-time algorithms for Beamforming, AEC and Noise Suppression using tools like MATLAB, Python, or Audio Weaver, and deploying them in C/C++ on embedded platforms. Acoustic System Modeling: Expertise in modeling and simulating acoustic transducers (mics/ speakers) and enclosures using tools like COMSOL to optimize for frequency response and intelligibility in far-field environments. 2-Way Audio Architecture: Deep expertise in low-latency full-duplex communications, including the design of echo cancellation paths and gain control strategies optimized for "e-call" clarity. Passive Monitoring & Intelligent Logic: Ability to design and implement audio triggers and voice-activity detection (VAD) that transition devices from low-power passive states to active communication modes. Hardware/Firmware Integration: Hands-on experience with ADC/DAC selection, high-SNR audio pipelines, and digital interfaces (I2S, PDM, TDM) for RTOS or Linux-based hardware. Validation & Subjective Evaluation: Extensive experience with audio test systems (Audio Precision, SoundCheck, HATS) to benchmark SNR, THD, and speech intelligibility (STI) across varied real-world clinical use cases. Secure Audio Processing: Knowledge of secure voice data handling, encryption for 2-way streams, and HIPAA-compliant audio pipelines. Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly. Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities. Start-up experience is a plus. Details The annual salary for this role is $200,000-$225,000 + equity + benefits (including medical, dental, and vision) Flexible PTO Location: Remote, US or Canada - NYC Preferred. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Compensations & Benefits At Inspiren, we are committed to fair, transparent, and equitable compensation. We know that every candidate brings a unique combination of experience, skills, and perspectives, and we take these factors into account when determining pay. While compensation may vary depending on your background, role, and location, we are proud to offer a competitive base salary and total benefits package, alongside eligibility for equity awards in the form of stock options. We believe great work deserves great rewards. Our compensation and benefits are designed to recognize your contributions and reflect the standards of leading organizations in our field. Your recruiter will be happy to walk you through the full compensation package, including what your total pay could look like, so you have a clear picture of both the immediate and long-term value of joining our team

Machine Learning Engineer Location Tampa, FL Moffitt Cancer Center Department Machine Learning-Staff Full-Time Summary Join the Rasool Lab within Moffitt Cancer Center & Research Institute to build trustworthy, clinically grounded AI that improves cancer research and care. The Machine Learning Engineer will develop end-to-end machine learning systems, especially domain-adapted speech and language pipelines, to support oncology workflows and research studies. Projects include robust ASR in noisy clinical settings, speaker diarization and long-form transcription, privacy-aware modeling (including federated learning), and NLP/LLM-based information extraction from unstructured clinical text, which is often in multimodal settings spanning radiology, pathology, molecular data, EHRs, and cancer registry data. Position Highlights: Opportunity to work in a world-class research environment focused on applied machine learning and AI for healthcare and biomedical domains, with an emphasis on trustworthy multimodal AI. Strong collaboration with interdisciplinary teams (researchers, clinicians, and data scientists), leveraging state-of-the-art computational infrastructure, and opportunities to contribute to impactful publications and open research software. Exposure to cutting-edge themes, including multimodal learning, federated learning, and LLM-enabled radiology/pathology informatics. The Ideal Candidate: Expertise in Automated Speech Recognition (ASR): Proven experience building, adapting, or optimizing ASR systems in domain-specific, noisy, or medical/clinical environments, with comfort with evaluation and error analysis for real-world audio. Strong ML & Deep Learning background: Hands-on experience with modern ML frameworks (e.g., PyTorch/TensorFlow) and practical experience with Transformer models, LLMs, or generative AI in applied settings. Solid foundation in NLP: Skilled in text representation, sequence modeling, and applying NLP to unstructured, domain-specific datasets (clinical notes, reports, transcripts). Federated / privacy-preserving learning exposure: Understanding of distributed ML systems and privacy-aware approaches for sensitive or regulated data. Healthcare/medical data familiarity: Experience with speech, text, EHR-derived data, and/or multimodal biomedical datasets, comfort working with clinical stakeholders and study constraints. Software engineering rigor (highly valued): Writes maintainable, tested, well-documented code, with experience in version control, reproducible pipelines, and collaborative development. Responsibilities: Support principal investigators through the development of machine learning and deep learning software for cancer research, from prototyping to robust, reusable pipelines. Collaborate with investigators and multi-institutional consortia on research software planning and implementation, including privacy-aware and cross-site workflows when needed. Design, develop, and maintain machine and deep learning software for oncology research applications, with a focus on ASR/NLP systems and multimodal AI projects. Build evaluation and monitoring approaches (data quality checks, performance metrics, failure-mode analysis) to keep models reliable in clinical-like conditions. Credentials and Qualifications: Minimum of a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field and at least two (2) years of software development/machine learning engineering experience. A Master’s degree in Electrical Engineering, Computer Science, or a closely related field is preferred. Demonstrated experience implementing ML systems in Python (and/or similar languages) with strong software engineering practices (testing, documentation, reproducibility). Interested applicants should attach a cover letter summarizing their research training and accomplishments, along with a current CV listing recent publications, to Dr. Rasool at ghulam.rasool@moffitt.org. Moffitt Cancer Center is an NCI-designated comprehensive Cancer Center in Tampa, Florida. Tampa is an ideal choice for those seeking opportunities in a rapidly growing metropolitan city. With its vibrant economy and diverse culture, Tampa Bay offers a unique blend of urban sophistication and natural beauty. Join the many who have already discovered what makes Tampa one of the fastest-growing metropolitan cities in the US. Moffitt Team Members: Eligible for an annual Team Member Incentive Eligible for an annual Team Member Merit Increase Have an Inclusive Benefits package - Health, Financial, & Lifestyle coverage If you're driven to build rigorous, trustworthy AI that advances cancer research, we welcome your expertise. Bring your machine learning skills, engineering discipline, and passion for impactful innovation—there’s a place for you in our mission.