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Back to jobs Senior MLOps Engineer Remote - United States Apply Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We are looking for a Senior MLOps Engineer to join our Data Engineering & Analytics team. In this role, your primary focus will be leading the design and evolution of the platforms, workflows, and governance practices that enable machine learning teams to develop, train, deploy, and operate ML systems reliably at scale. You will work across multiple data science teams and business domains, shaping a strong development environment, driving model lifecycle improvements, and helping set the standards that keep our ML systems scalable, maintainable, and well governed. The role sits within a broader shared cloud and data platform ecosystem, so you will also collaborate with adjacent platform teams and contribute to practical infrastructure, deployment, and access patterns that help DS teams move faster. This is a remote role in the US. What you will do: Primary Focus – MLOps Platform and ML Enablement Lead the development and improvement of the environment, platform capabilities, and operational foundations that support machine learning workflows across Oura. Drive the design and unification of workflows and tooling that support reliable training, orchestration, and deployment of ML systems. Partner with data scientists and engineers to improve the end-to-end ML lifecycle, from experimentation and training through deployment and governance, while making production ML systems easier to manage and maintain. Define and evolve model governance practices, including reproducibility, lineage, access controls, and operational standards. Support and help standardize ML tooling and workflows such as experiment tracking, model packaging, and promotion processes, with MLflow or similar tooling as a key part of the stack. Collaborate with teams across multiple business domains to onboard new use cases, prioritize platform improvements, and raise the maturity of shared ML capabilities. Identify and resolve reliability, scalability, and cost-efficiency issues in ML infrastructure running in the cloud. Drive standards, automation, infrastructure-as-code, CI/CD, and documentation that make ML development easier and more consistent across multiple DS teams. Cross-functional Growth Areas Improve infrastructure automation, CI/CD, and observability for ML workflows and supporting platform components. Contribute to workflow orchestration and platform integrations that support model training and batch inference at scale. Partner with data engineering and platform teams to align ML systems with broader data platform and governance practices. Help shape best practices for how teams build, ship, and maintain production ML systems across Oura. We would love to have you on our team if you have 5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field. Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts. Strong understanding of the machine learning lifecycle, including training workflows, deployment patterns across ML systems, monitoring, and ongoing model maintenance. Familiarity with data science ways of working and the tooling that supports experimentation and model operations, such as MLflow. Familiarity with workflow orchestration, infrastructure-as-code, and CI/CD practices for ML or data platforms. Familiarity with secure access patterns, governance controls, and shared cloud or data platform services that support ML work at scale. Experience building or supporting production-grade ML workflows with a focus on reliability, reproducibility, and maintainability. Proven ability to drive standards and improvements across multiple teams and business domains. Strong communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Comfort operating in a distributed team with a high degree of ownership and autonomy. What makes you stand out Experience supporting multiple data science teams through shared MLOps platforms or tooling. Prior experience with Databricks. Experience with governance and operational controls for ML systems at scale. Experience driving cross-team tooling or workflow standardization in ML or data platforms. Experience working in a high-growth environment with multiple stakeholders and evolving ML platform needs. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $172,550 - $203,000 Region 2 $158,950 - $187,000 Region 3 $147,900 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes. Create a Job Alert Interested in building your career at Ōura? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Legal First Name* Legal Last Name* Preferred First Name City* State* Select... Please share if you will need any accommodations during the interview process if your application is selected. Are you legally authorized to work in the United States of America? * Select... Do you now, or will you in the future, require Ouraring sponsorship for employment-based immigration status (e.g. H-1B or other status) in order to work for Ouraring?* Select... 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Listed by ŌURA for a position based in the United States. Employers on this board attest they are hiring domestically.

AI · Contract

35 days ago

Language Lead - English (Contract)

Cartesia ·

Pay

$30–45/hr

Setting

Remote

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ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. OVERVIEW We are seeking native-level English speakers with a linguistics background to serve as the primary language resource for voice AI in their language. You will be the trusted point of contact for all questions, quality decisions, and language-specific work related to English. This is not a standard annotation engagement. You will own your language end to end, which includes managing annotation quality, auditing data, monitoring product performance, investigating customer-reported issues, and executing projects that require deep linguistic expertise and attention to detail. You will operate independently across these workstreams and serve as the team's go-to resource for anything related to your language. This is an ongoing contractor engagement. Availability during some US Pacific business hours is preferred to allow for team syncs and real-time support. ABOUT THE ENGAGEMENT You will coordinate with the Human Evals Manager on project deliverables and timelines. Some examples of what your day-to-day work may include: - Answer questions from annotators about guidelines, edge cases, or language-specific issues via an agreed project communication channel. - Cascade new feedback, instructions, or rubric updates to annotators working on your projects. - Listen to annotator-rated audio files and check whether their ratings and written feedback align with the rubric. - Prepare written quality assessments for annotators with specific examples and recommendations. - Listen to TTS output and provide ground truth assessments of pronunciation, prosody, and naturalness in your language. - Update or expand sections of the annotation guidelines when you find gaps or edge cases. - Prep and run calibration meetings with annotators. - Hold office hours on a mutually agreed schedule during active studies so annotators can ask questions in real time. - Develop onboarding materials and resources for new annotators. - Write QA reports on annotation quality and calibration outcomes. - Review production audio in your language and flag quality issues to the team. - Investigate language-specific issues reported by customers and identify root causes. - Audit datasets for linguistic accuracy, completeness, and consistency. COMMITMENT Roughly 40 hours per week with flexibility in scheduling. Project hours may vary depending on active studies, data projects, and product needs. Participation in periodic coordination meetings during US Pacific hours is expected. REQUIREMENTS - Native-level proficiency in English as spoken in the US. - Experience with data annotation, transcription, or language quality assurance. - Strong foundation in linguistics or a related field, with the ability to apply concepts like phonetics, prosody, and intonation when evaluating speech and writing annotation guidelines. - Strong written English proficiency. All guidelines, feedback, reports, and team communication are in English. - Ability to write clear, structured instructions and deliver specific, actionable feedback to annotators. - Comfortable working with data and metrics such as inter-rater agreement scores, audit spreadsheets, and structured feedback templates. - Self-directed and able to manage feedback cycles, QA reviews, and data projects without close oversight. PREFERRED - Experience writing or maintaining annotation guidelines or rubrics. - Experience training, mentoring, or managing other annotators. - Experience with audio evaluation, TTS, or STT. - Conversational spoken English proficiency for meetings and calibration syncs. - Experience working with distributed, remote teams. This is a 1099 contract opportunity and will not be eligible for the benefits below. Language Leads work on an ongoing basis, renewable by mutual agreement. You will control your own methods for completing assigned work, supply your own equipment, and are responsible for your own taxes. You must be authorized to work in your country of residence. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Listed by Cartesia for a position based in the United States. Employers on this board attest they are hiring domestically.

SaaS

36 days ago

Staff Forward Deployed Engineer

Matillion · Manchester

Pay

Not listed

Setting

Remote

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🍪 dismiss Privacy Notice This website uses cookies to improve your web experience. By using the site, you agree to the use of cookies. Staff Forward Deployed Engineer ManchesterEngineering – Software Development /Full Time /Remote APPLY FOR THIS JOB Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it. The Staff Forward Deployed Engineer is the senior operator we put on our most significant and complex Maia rollouts and expansions. Working primarily remotely with our distributed teams and on-site when it counts, they own these engagements end to end, architecting and building production-grade solutions, modifying Matillion’s own product code where the platform needs it, and holding the highest engineering bar under real delivery pressure. A true force multiplier, they work at every level and across Sales, Product, Engineering, and Customer Success: earning technical wins, acting as a hands-on escalation point to Customer Success, and driving adoption and expansion in their accounts. They ship quickly and to standard in a low-friction way, turn their work into reusable assets and product feedback, and mentor the FDEs coming up behind them. What you will be doing: Owning end-to-end customer engagements by running discovery, architecting multi-cloud deployments, writing production-grade code, and guiding projects through to production cut-over. Building complex data pipelines, models, and integrations across cloud data platforms to ensure customers achieve the core outcomes they adopted Maia for. Modifying Matillion’s underlying codebase directly when native platform features are missing, adhering to strict engineering, security, and quality standards. Delivering fast, pragmatic MVPs by diagnosing real underlying customer problems, questioning initial requirements, and shrinking scope to accelerate platform adoption. Cultivating executive trust and serving as a cross-functional catalyst across Sales, Product, Engineering, and Customer Success to resolve complex escalations at the first point of contact. Enabling total customer self-sufficiency by training internal champions and creating clear handover documentation for Customer Success and Support teams upon project exit. Securing technical wins during pre-sales cycles through technical discovery, proof-of-concept deliveries, objection handling, and joint strategy work with Account Executives. Influencing product evolution by identifying repeating delivery patterns, submitting structured product feedback, and building reusable implementation frameworks that minimize future custom work. Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs. Elevating team performance by mentoring junior engineers, shaping hiring standards, refining delivery processes, and continuously updating expertise in emerging AI and cloud tech. What we are looking for: 5+ years of experience in production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases. Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional experience in production LLMs, RAG, and AI agents. Proven background in customer-facing technical delivery, spanning pre-sales technical discovery, hands-on implementation, and escalation management. Excellent communication skills to connect with both C-suite executives and technical developers during complex debugging sessions. Strong engineering judgment and systems thinking to make sound architectural trade-offs between speed, scalability, and maintainability under ambiguity. Execution bias and high autonomy to deliver working production systems independently in high-pressure environments. Deep customer empathy and rapport-building capabilities that establish long-term trust with technical teams and executive stakeholders. Founder mentality and a multiplier mindset to take full ownership of outcomes while elevating the performance of surrounding team members. At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role's estimated annual salaried pay range for this position is £84,160 - £126,240. The final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process. More about Matillion We operate a flexible working culture that promotes work-life balance, with benefits including: Company Equity 30 days holiday + bank holiday 5 days paid volunteering leave Private Health Insurance Life Insurance Pension Access to mental health support Your Safety Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com. Want to know more? Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch. Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com. Find out more about life on #TeamGreen here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. APPLY FOR THIS JOB Matillion Home Page Jobs powered by

Listed by Matillion for a position based in the United States. Employers on this board attest they are hiring domestically.

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