Senior Development Engineer jobs at Zimmer Biomet - 3995 jobs

Operations Engineer III - Operations (Senior TechOps Engineer) Galen Healthcare Solutions, an RLDatix company, is a healthcare IT software and services organization that produces award-winning information archival and release-of-information solutions for the largest healthcare organizations in the United States. Our software is used daily by tens of thousands of physicians across the country. As a company, we are honored to be ranked #1 in KLAS by our clients, including winning 2021's coveted Top Overall IT Services Firm award, as well as recognition from Modern Healthcare, having appeared on their Best Places to Work list for 10+ years. Galen has offices in Boston, MA, Chicago, IL, and Burlington, VT. This position can report to one of these offices or be fully remote. What You Will Do: As an Operations Engineer III, you will optimize data migration and archival implementation workflows by analyzing processes, identifying inefficiencies, and implementing improvements that elevate team productivity and quality by looking at our implementation process with a software engineering lens. Leveraging your expertise, you will collaborate with engineering, product, and leadership teams to deliver help automate and modernize ETL/ELT processes. Your work includes mapping workflows, producing analysis documentation, and supporting process and system improvements. Your contributions will directly influence immediate project outcomes and operational excellence within the engineering function. This position will serve as the equivalent of a Forward Deployed Engineer (FDE), except the “customer” is our own implementation team. Key Responsibilities: Process Analysis & Workflow Optimization Analyze implementation workflows and operational data to identify process inefficiencies and propose targeted improvements. Document process bottlenecks and articulate clear optimization requirements for engineering operations teams. Implement advanced analysis techniques to support continuous workflow enhancement and uphold process quality standards. Provide first‑line triage and resolution for migration and archival pipelines. Diagnose and remediate ETL, extraction, and scripting issues including SQL tuning, query optimization, indexing, partitioning, and job orchestration. Escalate to development/tooling teams only with clear reproduction steps, impact analysis, and proposed resolution paths. Technical Implementation & Automation Deploy and maintain engineering tools, automation systems, and integrations to support seamless operational processes. Identify and address technical gaps in implementation processes. Work extensively with relational databases such as Oracle, MS SQL Server, Azure Synapse Analytics and others. Perform advanced diagnostics, performance tuning, and query optimization. Stakeholder Management & Engagement Facilitate effective communication between engineering, product, and leadership teams to capture diverse requirements. Build collaborative relationships to coordinate internal stakeholders and ensure operational solutions align with business objectives. Produce stakeholder engagement plans that foster productive working environments and support collaborative project delivery. Experience You Will Need: 7+ years of experience with SQL optimization in multiple DBMS such as Oracle, SQL Server. 5+ years of experience with OLAP‑specific SQL query optimization and Azure Synapse Analytics (or non‑cloud equivalents). 3+ years of experience with Azure Data Factory or similar data movement platforms. Experience with scripting languages like PowerShell as well C#/.NET is a big plus. Essential Requirements: Strong stakeholder management skills, including the ability to articulate requirements, coordinate relationship‑building, and facilitate collaborative project environments across engineering and product teams. Advanced technical implementation skills to deploy, automate, and optimize data engineering processes while maintaining high quality standards across diverse platforms. Demonstrated business insight with the ability to connect operational improvements to measurable business outcomes and support strategic initiatives through data‑driven analysis. What You Will Gain: In this impactful Operations Engineer III role, you'll accelerate your technical growth by optimizing data engineering workflows and driving efficiency in an environment that processes petabytes of data. You'll have the opportunity to solve complex challenges, collaborate with cross‑functional teams, and directly contribute to continuous improvement initiatives that enhance team productivity. This position empowers you to build expertise in automation and process optimisation, while influencing engineering operations within a supportive, innovation‑driven environment. You'll develop valuable analytical and problem‑solving skills, making a measurable difference in the quality and effectiveness of engineering delivery. Team Structure & Size: You will be the first and leading member of a new team that will bring an engineering mindset to our implementation processes. This role will report to our VP of Engineering on our data platform. Geographic Scope: This role is for our North American team. We have offices in Chicago, Boston, Burlington (VT). You can work remotely or from any of our offices. Educational & Professional Requirements: 5+ years in an engineering role Must be legally authorized to work in the United States Salary range: $130,000-190,000 annually commensurate with experience #J-18808-Ljbffr

Operations Engineer III - Operations (Senior TechOps Engineer) Galen Healthcare Solutions, an RLDatix company, is a healthcare IT software and services organization that produces award-winning information archival and release-of-information solutions for the largest healthcare organizations in the United States. Our software is used daily by tens of thousands of physicians across the country. As a company, we are honored to be ranked #1 in KLAS by our clients, including winning 2021's coveted Top Overall IT Services Firm award, as well as recognition from Modern Healthcare, having appeared on their Best Places to Work list for 10+ years. Galen has offices in Boston, MA, Chicago, IL, and Burlington, VT. This position can report to one of these offices or be fully remote. What You Will Do: As an Operations Engineer III, you will optimize data migration and archival implementation workflows by analyzing processes, identifying inefficiencies, and implementing improvements that elevate team productivity and quality by looking at our implementation process with a software engineering lens. Leveraging your expertise, you will collaborate with engineering, product, and leadership teams to deliver help automate and modernize ETL/ELT processes. Your work includes mapping workflows, producing analysis documentation, and supporting process and system improvements. Your contributions will directly influence immediate project outcomes and operational excellence within the engineering function. This position will serve as the equivalent of a Forward Deployed Engineer (FDE), except the “customer” is our own implementation team. Key Responsibilities: Process Analysis & Workflow Optimization Analyze implementation workflows and operational data to identify process inefficiencies and propose targeted improvements. Document process bottlenecks and articulate clear optimization requirements for engineering operations teams. Implement advanced analysis techniques to support continuous workflow enhancement and uphold process quality standards. Provide first‑line triage and resolution for migration and archival pipelines. Diagnose and remediate ETL, extraction, and scripting issues including SQL tuning, query optimization, indexing, partitioning, and job orchestration. Escalate to development/tooling teams only with clear reproduction steps, impact analysis, and proposed resolution paths. Technical Implementation & Automation Deploy and maintain engineering tools, automation systems, and integrations to support seamless operational processes. Identify and address technical gaps in implementation processes. Work extensively with relational databases such as Oracle, MS SQL Server, Azure Synapse Analytics and others. Perform advanced diagnostics, performance tuning, and query optimization. Stakeholder Management & Engagement Facilitate effective communication between engineering, product, and leadership teams to capture diverse requirements. Build collaborative relationships to coordinate internal stakeholders and ensure operational solutions align with business objectives. Produce stakeholder engagement plans that foster productive working environments and support collaborative project delivery. Experience You Will Need: 7+ years of experience with SQL optimization in multiple DBMS such as Oracle, SQL Server. 5+ years of experience with OLAP‑specific SQL query optimization and Azure Synapse Analytics (or non‑cloud equivalents). 3+ years of experience with Azure Data Factory or similar data movement platforms. Experience with scripting languages like PowerShell as well C#/.NET is a big plus. Essential Requirements: Strong stakeholder management skills, including the ability to articulate requirements, coordinate relationship‑building, and facilitate collaborative project environments across engineering and product teams. Advanced technical implementation skills to deploy, automate, and optimize data engineering processes while maintaining high quality standards across diverse platforms. Demonstrated business insight with the ability to connect operational improvements to measurable business outcomes and support strategic initiatives through data‑driven analysis. What You Will Gain: In this impactful Operations Engineer III role, you'll accelerate your technical growth by optimizing data engineering workflows and driving efficiency in an environment that processes petabytes of data. You'll have the opportunity to solve complex challenges, collaborate with cross‑functional teams, and directly contribute to continuous improvement initiatives that enhance team productivity. This position empowers you to build expertise in automation and process optimisation, while influencing engineering operations within a supportive, innovation‑driven environment. You'll develop valuable analytical and problem‑solving skills, making a measurable difference in the quality and effectiveness of engineering delivery. Team Structure & Size: You will be the first and leading member of a new team that will bring an engineering mindset to our implementation processes. This role will report to our VP of Engineering on our data platform. Geographic Scope: This role is for our North American team. We have offices in Chicago, Boston, Burlington (VT). You can work remotely or from any of our offices. Educational & Professional Requirements: 5+ years in an engineering role Must be legally authorized to work in the United States Salary range: $130,000-190,000 annually commensurate with experience #J-18808-Ljbffr

A leading fitness technology company in San Francisco is seeking an experienced AI Engineer to enhance its intelligent systems. You will design machine learning models to personalize workouts and improve coaching through data-driven insights. Ideal candidates have strong Python skills and experience with leading ML frameworks. Join a team dedicated to innovation in fitness technology. Remote work options may be available. #J-18808-Ljbffr

A leading medical device company is seeking a Senior iOS Software Engineer to develop innovative mobile applications that improve the lives of people with diabetes. In this role, you will design and build high-quality iOS applications using Swift, collaborate with diverse teams globally, and mentor junior developers. The ideal candidate has over five years of software development experience and a passion for user-centered design. This position offers hybrid work arrangements and a competitive salary. #J-18808-Ljbffr

The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML, GenAI, and analysis platforms, all geared toward: Building a next‑generation, metadata‑ and automation‑driven data experience for GSK's scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on "data mechanics". Providing best‑in‑class AI/ML, GenAI, and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent. Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real‑time. At GSK we see a world in which advanced applications of AI and GenAI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of AI and Machine Learning. We're looking for a highly skilled Senior GenAI Platform Engineer to help us make this vision a reality. Our GenAI Engineering team is focused on developing first‑in‑class GenAI capabilities at scale, including complex agent architectures, LLM training, optimized LLM deployments and end‑to‑end production‑grade multi‑agent applications that impact all R&D teams at GSK. The GenAI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career from day one, supporting individuals in dedicating 20% of their time towards personal development. Key Responsibilities: Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud. Co‑design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews. Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale. Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale. Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas. Able to design innovative strategies and ways of working to create a better environment for the end users. Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area. Basic Qualifications: Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline. 4+ years of software engineering experience building production systems. Experience with Python proficiency in writing well instrumented, tested, and maintainable code. API design and developer experience focus (versioning, SDKs, docs) and ability to collaborate with ML/security/product teams. Preferred Qualifications: Experience building platform for service‑specific (e.g. Models, Agents, MCP services) lifecycle management involving development tools, CI/CD workflows, as well as API discovery, routing, authentication, observability. Deep knowledge of integrating applications with LLMs and experience with an agent framework such as LangGraph. Experience in operating production multi‑tenant Vector DBs (e.g. Weaviate) and expertise with embedding/modeling best practices. Experience with fine‑tuning and/or optimized deployments of LLMs. Experience with infrastructure‑as‑code and CI/CD tools (e.g. Terraform and Github Actions respectively). Google Cloud expertise, including scalable cloud compute services, such as Google Batch and Vertex AI. #GSKOnyx #LI-GSK #R&DTechProject • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $158,400 to $264,000. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at ************************ where you can also request a call. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at ********************************* #J-18808-Ljbffr

Site Name: Cambridge 300 Technology Square, London The Stanley Building, Upper Providence The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step‑change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next‑generation data experience for GSK's scientists, engineers, and decision‑makers, increasing productivity, and reducing time spent on "data mechanics". Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent. Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real‑time. A Senior Governance Engineer is a leading technical contributor who can consistently take a loosely defined business or technical requirement, architect and build it to a well‑defined specification, and execute on it at a high level. You have a strong focus on metrics, both for the impact of their work and for its inner workings/operations. As a Senior Governance Engineer, you will play a crucial role in ensuring our product teams produce reliable, scalable, and secure infrastructure and applications. You will collaborate closely with the platform infrastructure and data operations teams to implement security and governance products within our existing technological infrastructure. You should be deeply familiar with the tools and processes associated with security and governance for regulated industries and able to work with stakeholders to translate those requirements to build efficient and user‑friendly products. Key responsibilities Design and deploy scalable and reliable governance solutions using a mix of existing technologies, open‑source tools, and newly identified integrations. Build and maintain an automated policy engine that integrates with existing authorization systems, uses policy as code, is cloud‑native (GCP), and integrated with the other Onyx Platforms and frameworks. Enable governance by design and implementation of user‑friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorization systems. Understand, amplify with Onyx and integrate requirements from security and internal regulatory teams to ensure compliance with security policies and regulations as part of the governance products. Collaborate with cross‑functional teams to understand business requirements and translate them into scalable and efficient governance products. Use standard agile development SDLC processes for development management, CI/CD, and automation for infrastructure provisioning and deployment processes. Stay updated with the latest trends and best practices in security, governance, and data governance and contribute to the continuous improvement of our overall infrastructure and data platform. Provide technical guidance and mentorship to junior team members, fostering a collaborative and knowledge‑sharing culture within the organisation. Troubleshoot and resolve governance related issues and provide technical support to internal teams. Basic Qualifications PHD +2 years, Master's +4 years or Bachelors +6 years of relevant experience. Knowledge and use of one or more programming languages: e.g., Go, Python, Scala, Java. Experience in utilizing any cloud‑based data governance solutions, like Open Policy Agent (OPA), Strya‑DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments. Experience with Policy and Compliance monitoring. Preferred Qualifications Extensive knowledge of computational data governance, data security, compliance regulations, and industry best practices. Experience with managing authorization and authentication as code, integrating with Enterprise role‑based access tools. Experience with implementing attribute‑based access control. Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem). Experience in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, …) Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure‑as‑code. Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps). Demonstrated excellence with agile software development environments using tools like Jira and Confluence. Passionate about data‑management and governance/privacy best practice. #GSK‑LI • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at ************** (US Toll Free) or *************** (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit ********************************* #J-18808-Ljbffr

Who We Are Tonal is the world's first all in one home gym with a simply stunning design. It has completely revolutionized the fitness journey, with adaptive weight and coaching cues powered by advanced AI technology. We've united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective, and more engaging. With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness, and Power Progress for our members. Overview Tonal is looking for an AI Engineer to help expand Tonal's intelligence across movements, training modalities, and member goals. You'll be joining a high impact team at the intersection of machine learning, biomechanics, and product engineering. You will be responsible for building intelligent systems that adapt workouts, enhance coaching, and personalize progression using the largest strength training dataset in the world. With millions of workouts collected across diverse users and enriched by data from cameras, cable sensors, and external trackers, Tonal has a one of a kind platform for real world AI. You will help transform this data into production grade models and systems that deliver real time insights, predictions, and feedback to our members. What You Will Do Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real time applications Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction Fine tune and evaluate transformer based or self supervised learning models using Tonal's multimodal dataset Build data driven systems that measure training effectiveness, effort, and progression beyond traditional weight based metrics Prototype, train, and deploy ML models that run efficiently at scale or on device Collaborate cross functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience Contribute to the development of automated tools for experimentation, model validation, and continuous retraining Write high quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal's production systems Mentor teammates and help shape Tonal's growing AI and ML best practices Who You Are A self driven AI or ML Engineer passionate about bringing applied machine learning into real world, user facing products 7 plus years of experience in software engineering or applied ML, or 5 plus with a Master's degree, or PhD with 3 plus years of experience Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX Experienced in ML training, evaluation, and deployment workflows such as Sagemaker, MLFlow, Databricks, or similar Deep understanding of time series modeling, human motion, or sensor based learning from devices such as force transducers, position encoders, IMUs, or cameras Familiar with MLOps best practices and scalable model training pipelines Strong communicator who can collaborate with scientists, product managers, and engineers Track record of delivering performant ML systems from prototype to production Extra Credit Experience fine tuning large transformer or multimodal models Experience deploying models to real time or edge environments such as on device inference Experience with GoLang, Kotlin or Flutter Experience with distributed training, mixed precision optimization, or model compression Interest in fitness, digital health, or intelligent training systems Background in biomechanics, kinesiology, or human performance analytics At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation. #J-18808-Ljbffr

About Mursion Mursion provides an award-winning upskilling platform trusted by top companies to measurably improve employees' interpersonal intelligence and build stronger organizations. Powered by multimodal AI and a unique practice-based approach, our real-world, interactive simulations deliver lasting results. Our solutions are grounded in behavioral science and psychology to build confidence and positive behaviors, and ultimately help reduce the costs of stress. Mursion's product suite includes AI-powered simulations, human reinforcement assessment & coaching, and advanced analytics that lead to measurable skills acquisition. Mursion is a well-funded Series B startup that is backed by future of work and Edtech investing veterans, like Leeds Illuminate and New Markets Venture Partners. Mursion is the largest simulation company, with more than 800K+ simulations to date and more than 200K users per year, with a growing global footprint. By 2026, we will be delivering 2 million simulations per year. Who We Want: We seek talented people from diverse backgrounds and experiences, who are inspired by our mission to leverage virtual reality technology to reinvent professional learning, and who are motivated to help Mursion become the premier global platform for virtual simulation training for behavioral skills. We value empathy, curiosity, and constant improvement both in our internal operations and when working with partners and clients. Our employees are most successful when they employ strong collaboration skills, skilled communications, a problem-solving orientation, and demonstrate comfort in an evolving and fast-paced startup environment. About the role As a Senior AI Engineer for Real-Time Conversational Agents, you will play a crucial role in developing and deploying the real-time AI systems that power our conversational agents. You'll work primarily with large language models (LLMs), automatic speech recognition (ASR), text-to-speech (TTS), and emerging speech-to-speech models, and you'll use modern agent and real-time frameworks to ship low-latency, production-ready experiences. We care deeply about model stability, latency, evaluation, and observability, and we're constantly iterating to adopt new foundations and improve our routing and model-hopping strategies. Responsibilities Develop and maintain real-time speech-to-speech conversational agents, collaborating closely with product, design, and research teams. Ship low-latency, high-impact features that directly enhance user experience, with clear performance and product metrics. Design and optimize STS pipelines that integrate DeepGram, LiveKit/WebRTC, ElevenLabs, OpenAI, VAD, and Lambda-style architectures. Drive core improvements to our AI infrastructure, including: Latency and stability optimizations across ASR → LLM/agent → TTS/speech-to-speech pipelines. Robust error handling, fallbacks, and model hopping strategies across providers and models. Instrumentation, evaluation, and monitoring for quality, drift, and robustness. Execute major projects from concept to production, owning design, implementation, rollout, and iteration based on real-world feedback. Collaborate with data scientists, software engineers, and product managers to translate requirements into measurable AI features tied to business outcomes. Preprocess and analyze large multimodal datasets (audio, transcripts, interaction logs) to extract features and insights for model evaluation and improvement. Implement and optimize algorithms for performance, scalability, efficiency, and cost, particularly in real-time streaming environments. Monitor and maintain models and systems in production, with attention to: Latency budgets and tail performance Stability, load, and failure modes Continuous evaluation and A/B testing Stay up-to-date with the latest in generative AI, speech, and real-time systems (e.g., new speech-to-speech models, WebRTC and streaming advances) and drive integration where it makes sense. Contribute to model fine-tuning and adaptation work (e.g., custom LLM/alignment, TTS/ASR domain adaptation) where it materially improves product quality, while prioritizing real-time reliability and UX. Participate in code reviews, testing, and debugging to ensure high-quality, maintainable deliverables. Qualifications 4+ years of experience as a Machine Learning Engineer, AI Engineer, or related role. Proven experience developing and deploying ML/AI capabilities into production and serving real users. Strong programming skills in Python. You should be an expert in Python. Solid understanding of core MLOps and software architecture for modern ML-based applications (CI/CD, monitoring, rollback strategies, feature flags, etc.). Strong grasp of data structures, algorithms, and statistical methods. Experience with real-time or streaming systems (e.g., WebRTC, LiveKit, low-latency APIs, event-driven/Lambda architectures) or a strong desire to work in this space. Excellent problem-solving skills and the ability to work both independently and collaboratively. Strong communication skills for working with cross-functional teams. Strong candidates will have Bachelor's or Master's degree in Computer Science, or a related field. A lot of enthusiasm for applying AI to real business problems and product use cases. Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc. Experience with LLMS, NLP, speech technologies (ASR/TTS/VAD), conversational agents, and/or reinforcement learning. Familiarity with model fine-tuning, evaluation frameworks, and A/B testing for model and routing changes. Experience with DevOps practices and tools for CI/CD. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes). Exposure to model routing/model hopping across providers and versions to balance cost, quality, and latency. Competitive Salary, bonus eligibility and equity 401K, Flexible PTO Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Parental Leave Short Term & Long Term Disability Work From Home #J-18808-Ljbffr

A leading tech company in California is seeking a Senior AI Engineer for Real-Time Conversational Agents. You'll develop and deploy advanced conversational AI systems focusing on stability and low latency. Key responsibilities include monitoring model performance and collaborating with cross-functional teams to enhance user experience. The ideal candidate has a strong background in machine learning, programming in Python, and experience with real-time systems. This role offers competitive salary, benefits including health care, and flexible PTO. #J-18808-Ljbffr

A cutting-edge fitness technology company in San Francisco is seeking a passionate Senior Mobile Developer to join their team. You will play a critical role in developing the mobile application for an intelligent personal trainer. The ideal candidate has over 5 years of experience, is proficient with Flutter, and has extensive knowledge of both iOS and Android platforms. Collaboration with cross-functional teams to deliver high-quality solutions is essential. If you love solving complex problems and thrive in a fast-paced environment, we encourage you to apply. #J-18808-Ljbffr

A leading fitness technology company is seeking a Senior Android Developer passionate about building innovative software for consumer fitness products. In this role, you will design and develop features for the Tonal Smart Home Gym, collaborating across teams to enhance user experiences. Candidates should have significant software development experience, particularly in Kotlin and Jetpack Compose, along with a strong understanding of Android principles. Join us to contribute to engineering excellence and product quality at scale. #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant‑based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications Paid Vacation, Sick, & Holidays Monthly MetroCard Reimbursement 401(k) & Roth Retirement Savings Plan with company match up to 5% Work/Life Employee Assistance Program Company Paid Life and Short-Term Disability Coverage Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage #J-18808-Ljbffr

A biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #J-18808-Ljbffr

A tech-focused marketing automation company in San Francisco is seeking a backend software engineer to build robust systems. The ideal candidate has hands-on experience in Golang, Kafka, and PostgreSQL while fostering strong customer relationships. This in-person role offers a unique opportunity to work closely with clients, ensuring rapid development and direct feedback in a fast-paced startup environment. #J-18808-Ljbffr

About Us Conversion is building the AI-native marketing automation platform for modern software companies. Today, marketing is stitched together from outdated software, enrichment tools, and disconnected workflows. Funnels are broken. Messaging is misaligned. Most teams are flying blind. We're fixing that. Conversion lets growth teams build and automate their entire go-to-market motion in one place. From acquisition to activation to retention, it's all managed in a single interface: fast, personalized, and powered by AI. We've raised over $28 million from top firms such as Abstract Ventures, True Ventures, and HOF Capital. We're at $5M+ ARR, growing quickly, and powering go-to-market for 4000+ customers. We're a lean, high-performing team in San Francisco. If you're excited about building creative, modern, product-led marketing and doing your best work alongside world-class teammates; we'd love to meet you. Over $28M in funding $0 to $6M ARR in under 12 months, 4000+ customers Elite team from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, Linkedin, Microsoft, and more About the Role Hey there! James here 👋, co-founder and CTO at Conversion. Just wanted to share my thoughts on the perfect candidate we're looking to join our engineering team. First off, I want to stress the technical difficulty and scale of what we're building here at Conversion. The reason marketing automation platforms haven't seen a new player in decades is because building one is hard. Our platform needs to handle gigabytes of data syncs per customer with the utmost reliability, coordinate complex workflows that automate mission critical "go-to-market" processes, handle form submissions that directly generate revenue for customers, and serve high delivering emails to millions of our customer's recipients. With that being said, here's what we're looking for in a backend software engineer to join our core team: Product focused: There is quite a bit of features that go into a marketing automation platform, and so we're looking for folks that can own entire products and scope out, design, and build features end to end. We believe the best PMs are engineers who understand the pain point, since they can best evaluate both the benefit and the cost of building a feature. P.S. if you prefer building the systems that power our infrastruture, check out our Platform Engineering role! Love building for customers: We at Conversion are extremely close with customers- every customer gets their own Slack channel in our organization for faster communication, and we add every engineer to the channel to directly answer questions, fix bugs, and build features! You feel the urgency much more when you hear it directly from the end user. Intellectually curious: Conversion engineers are group of bright-eyed and constantly curious individuals, who love debating database designs (or if we'd win in a fight against an ostrich) at lunchtime. This role is in-person 5 days/week in San Francisco. You Might Be a Good Fit If You Have a few years of relevant industry experience building robust and reliable systems Have a startup mindset - Scrappy, intelligent, and entrepreneurially minded individuals interested in joining a fast paced startup and looking for early ownership and growth Have experience with our tech stack: Golang in the backend, a job queuing system with Kafka, PostgreSQL as our database and cloud hosting with GCP You Might Be a Great Fit If You Often on tech Twitter Track record of side projects, apps, hackathons. Our engineers have built a live streaming security system for their parent's new house, a database from scratch, a better "Splitwise" app, and hosted our Minecraft server, all while at Conversion! Useful links Website: ********************** Learn more about our company culture here: **********************careers Check out out this Next Play article about our team! ********************************************************************* Engineering blog: **********************blog #J-18808-Ljbffr

A healthcare technology startup located in San Francisco is looking for an experienced software engineer to enhance their doctor-patient communication platform. The ideal candidate will have over 6 years in mobile development, with significant experience in Flutter, and possess a deep understanding of user experience and performance optimization. Join a mission-driven team that values innovation and collaboration, and help shape the future of healthcare communication. #J-18808-Ljbffr

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we're revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients. Senior DocuSign Engineer (Enterprise Technology) Overview Compass is seeking a Senior DocuSign Engineer to join the Enterprise Technology team. This role involves designing, developing, and implementing DocuSign solutions, integrating them with other enterprise systems, and optimizing contract management workflows. Key responsibilities include leading solution design, collaborating with stakeholders, customizing DocuSign, and providing technical support. The ideal candidate will have 5+ years of DocuSign experience, a strong understanding of complex contract lifecycle management workflows, and expertise in API integrations. Preferred qualifications include experience with other SaaS solutions, and Agile methodologies. This is a great opportunity for a strong technical leader to join Compass and make an impact on a critical system. Position Overview The Senior DocuSign Engineer will serve as the subject matter expert for DocuSign Contract Lifecycle Management and ESign at Compass, partnering closely with Legal, Procurement, IT, and Engineering teams to deliver effective, scalable solutions. This role will be responsible for the design, customization, integration, and ongoing enhancement of DocuSign, ensuring it aligns with evolving business requirements and industry best practices. The ideal candidate will blend deep technical expertise with a strong understanding of contract lifecycle processes to drive innovation and operational excellence. Key Responsibilities Lead the design, development, and implementation of DocuSign solutions that support Compass's enterprise contract management needs. Partner with Legal, Procurement, IT, and Engineering stakeholders to gather requirements and translate them into scalable technical solutions. Customize and configure DocuSign to optimize workflows, improve usability, and ensure alignment with Compass's operational goals. Integrate DocuSign with the Compass platform, legal platforms, and other enterprise applications to create seamless, end-to-end contract management processes. Develop and maintain detailed technical documentation for system configurations, workflows, and integrations. Provide technical expertise and support to end-users, ensuring adoption and effective utilization of DocuSign capabilities. Stay current with DocuSign product developments, emerging best practices, and relevant industry trends to guide platform strategy. Identify opportunities to automate and improve contract lifecycle processes, reducing manual effort and increasing compliance. Collaborate with cross-functional teams to ensure data consistency, security, and compliance with regulatory requirements. Drive continuous improvement initiatives to enhance system performance, reliability, and scalability. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience designing, developing, and implementing DocuSign solutions. Strong understanding of contract lifecycle management processes, best practices, and operational requirements. Proven expertise in DocuSign configuration, customization, and integration. Hands‑on experience integrating DocuSign with custom integrations and other legal or enterprise platforms. Proficiency with API integrations, web services, and related development tools. Excellent problem‑solving, analytical, and troubleshooting skills. Strong communication and collaboration skills; able to work effectively with both technical and non‑technical stakeholders. Ability to manage multiple projects and priorities in a fast‑paced environment. Detail‑oriented with a track record of delivering high‑quality, production‑ready solutions. Preferred Qualifications Experience with other contract management and document management solutions. Familiarity with e‑signature platforms and workflows. Knowledge of Agile development methodologies and best practices. Experience working with Atlassian tools such as JIRA and Confluence. Prior experience in high‑growth, fast‑moving technology companies. Certifications in DocuSign CLM, ESign, or related technologies. Additional experience supporting SaaS platforms such as Salesforce, Workday, ZenDesk. Compensation The base pay range for this position is $86,000-$129,000; however, base pay offered may vary depending on job‑related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met. Perks that You Need to Know About Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele‑health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance. Do your best work, be your authentic self. At Compass, we believe that everyone deserves to find their place in the world - a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers. Notice for California Applicants Los Angeles County Fair Chance Notice #J-18808-Ljbffr

A leading consumer genetics company is seeking a Senior Software Engineer focused on frontend technologies. The role involves leading the Next.js platform architecture, mentoring junior engineers, and integrating with backend systems using Python/Django. Ideal candidates should have a strong expertise in JavaScript, React, and AWS services. This full-time position is based in Palo Alto, California and offers a competitive salary ranging from $180,000 to $250,000 annually. #J-18808-Ljbffr

A leading genetics research organization in Palo Alto seeks a Senior Software Engineer to design and maintain scalable services and backend APIs. Join a collaborative team passionate about genetic discovery, focused on ensuring reliable operations. Ideal candidates have a B.S. in Computer Science and five years of experience, particularly with AWS and Python. The role offers a competitive salary range of $165,000 to $215,000, along with a commitment to diversity and inclusion. #J-18808-Ljbffr