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Senior Data Engineer About Altela: Altela has secured over $20 million in funding, (available in CrunchBase) demonstrating significant investor confidence in our mission to revolutionize water treatment. We are committed to developing and delivering intelligent software and comprehensive solutions for efficient water management, including wastewater treatment, desalination, and waste-to-asset conversion. Join us as we continue to innovate and expand our impact on global water sustainability. Who You Are: You are an experienced data engineer with 5+ years of experience, specializing in building and maintaining data pipelines. You have expertise in Spark (Scala/Python), Kafka (Java/Scala), and SQL and are passionate about enabling data-driven decision-making. You are comfortable working with large-scale data processing. What You Will Do: * Design, build, and maintain scalable and reliable data pipelines. * Optimize data storage and retrieval for performance and efficiency. * Implement data warehousing and data lake solutions. * Develop and maintain ETL/ELT processes. * Monitor data pipeline performance and troubleshoot issues. * Collaborate with data scientists and analysts to provide data solutions. * Implement data governance and data quality standards. Requirements: * 7+ years of experience in data engineering. * Expertise in Spark (Scala/Python), Kafka (Java/Scala), and SQL. * Experience with cloud-based data platforms (AWS, GCP, Azure). * Knowledge of data warehousing and data lake architectures. * Proficiency in ETL/ELT processes. * Strong problem-solving and analytical skills. Benefits: * Competitive Salary * Health Insurance (Medical, Dental, Vision) * Paid Time Off (PTO) * 401(k) Matching * Professional Development Opportunities * Flexible Work Hours *

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we’ve developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. We’re looking for a Staff Data Engineer to lead the engineers on the Health Intelligence team in building robust, scalable data pipelines, tooling, and infrastructure. This role reports to the Manager, Data Engineering. This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. • Build and maintain high quality data systems that calculate Garner’s provider rankings, • Implement algorithms to improve the accuracy of our provider rankings data while lowering total associated costs and resource utilization, • Partner with engineers across Garner to define and implement coding standards, common libraries, and shared tooling, • Partner with Data Science, Researchers, and Product to convert ideas from research into reliable, performant production systems, • Drive the technical strategy in the team to ensure we are building maintainable, scalable, resilient software, • Help the team grow by mentoring junior members and raising the engineering bar, • 10+ years of experience, with the 3+ most recent years specifically in Data Engineering or distributed Software Engineering., • Must have a Computer Science degree or equivalent experience demonstrating CS fundamentals., • Mastery of Python, as well as SQL for data extraction, transformation, and analysis., • 3+ years of experience working in the cloud (AWS preferred)., • 3+ years of experience building ETL/ELT pipelines with tools like Apache Spark, Apache Beam, AWS Glue, etc., • 2+ years managing pipeline workflows with tools such as Airflow, Argo, Prefect, etc., • 2+ years of experience working with Apache Iceberg, AWS Lake Formation, Apache Hudi or equivalent., • 2+ years of experience leveraging analytical solutions such as Snowflake, Redshift, BigQuery, or Trino for large-scale data processing and analytics., • 2+ years of experience leading other Data Engineers on complex big data initiatives as the tech lead., • Preferred experience working in an environment that required strict data privacy standards (e.g., GDPR, HIPAA) and security best practices., • Preferred experience with Kubernetes, • Preferred experience with Tableau, Looker, or other data visualization and reporting solutions., • A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment, • A desire to be a part of our mission to improve the U.S. healthcare system The target salary range for this position is: $220,000- $260,000. This position is also bonus eligible. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Please be aware of recent job scam attempts. Our recruiters use ___ email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement ___ and to ___. Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at ___.

This position is posted by Jobgether on behalf of Shiftsmart. We are currently looking for a Staff Data Engineer in New York. This role offers a unique opportunity to lead the design, development, and governance of scalable data platforms within a fast-growing technology environment. As a key member of the core platform engineering team, you will provide technical leadership in building reliable and compliant data systems that empower a global workforce marketplace. Your expertise in data architecture, governance, and software engineering will directly impact business success by ensuring data integrity and privacy. Collaboration and innovation will be central as you mentor others and drive continuous improvement in data processes. Accountabilities: • Provide technical leadership and guidance in designing data solutions aligned with business and governance requirements., • Develop scalable and compliant data architectures including data warehouses, big data platforms, and databases., • Champion data governance practices such as data lineage, metadata management, quality controls, and privacy compliance., • Collaborate with stakeholders to translate needs into robust data systems and tools., • Optimize data processing performance and automate workflows to improve efficiency., • Mentor junior engineers and promote a culture of governance awareness and compliance., • Maintain thorough documentation and share knowledge across teams to support continuous improvement and innovation., • 8+ years of software engineering experience focused on data engineering and large-scale data systems., • Strong proficiency with technologies such as MongoDB Atlas, Google Cloud Platform (GCP), BigQuery, Prefect, Typescript, and Python., • Deep understanding and practical experience with data governance frameworks and compliance regulations., • Proven ability to design and implement scalable data architectures with a focus on governance and security., • Excellent software engineering skills and modern development best practices., • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly., • Leadership experience mentoring teams and driving successful project outcomes., • Bachelor’s or master’s degree in computer science, engineering, or a related field., • Competitive salary range between $175K – $225K, plus equity options., • Comprehensive healthcare coverage including 100% employee premiums for medical, dental, and vision., • 401(k) program with a company match., • Generous paid parental and family leave policies., • Pre-tax commuter benefits and a collaborative office environment in Manhattan (optional onsite)., • Opportunity to work fully remote with a company at the forefront of workforce technology innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we’re passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We’re a small-but-mighty team of 40+ based in Manhattan in the heart of Soho, with a passionate and rapidly growing group of users at top engineering orgs like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (___) led by ___, following a previous $20mil Series A from ___ at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like ___ (founder of GitHub), ___ (Planetscale CEO & ex-GitHub CTO), ___ (creator of React), and ___. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you’ll have as a part of our early team. Outside of work you’ll find us brewing espresso drinks, producing music, or practicing yoga. We can’t wait to see what you’ll add to the mix! About the Role Graphite is growing quickly, and we're looking for a founding AI Engineer to lead and shape the future of AI within our Diamond product. This role is focused on advancing the state of the art in applied AI, particularly in the areas of large language models (LLMs), program synthesis, and reasoning agents. You'll drive original research initiatives that push the boundaries of how AI can support engineering workflows — from context-aware code generation to autonomous technical planning. Your work will directly influence Diamond’s product capabilities and performance, with opportunities to publish, prototype, and scale cutting-edge models and systems. Rethinking the way fast-moving eng teams write and review code every day is no small feat, and we believe that the best solutions are built when most talented, ambitious, and dedicated people from diverse backgrounds come together. What you’ll do * Conduct cutting-edge research in LLMs, reasoning agents, and program synthesis, with a focus on advancing Diamond’s AI capabilities. * Design & develop prototypes and proof-of-concept models for AI applications * Translate research into practical applications by working closely with engineering to integrate models into production. * Stay current with the AI research landscape and apply insights from the latest work in transformer models, interpretability, and alignment. What we’re looking for * Proven track record in advanced AI/ML research, ideally with hands-on experience in training or post-training LLM work at a frontier lab. * Strong software engineering skills and experience building robust, scalable research or ML infrastructure. * Ability to navigate ambiguity, define research direction, and work cross-functionally to drive impact. * Someone with a deep understanding of modern ML practices. Life at Graphite * Competitive comp: ($140-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. * Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. * Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. * Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. * Relocation expenses. We're an in-person, NYC-based team, and we're happy to help with your relocation expenses! * The team that eats together. Company-paid lunch, snacks, and coffee during workdays. * Commuter perks. Ride around NYC with an Unlimited Ride MetroCard, on us. As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you’re concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite!

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO • Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows, • Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues, • Support automated reporting solutions using Python, • Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes, • Ensure data warehouse scalability, performance optimization, and cost efficiency, • Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE • 2-5 years of experience in data engineering or related roles, • Highly proficient with Python, SqlAlchemy, Alembic, Pytest,, • Experience with SQL and relational databases such as Postgres, • Experience with database design and optimization, • Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.), • Experience with deploying data pipelines in Python, • Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE • Experience with containerized architecture (Docker, Kubernetes, Argo Workflows), • Experience with DevOps practices and CI/CD (GitHub Actions), • Experience with data warehouses (Snowflake), • Experience with cloud infrastructure (AWS), • Experience with data visualization tools (Marketing Cloud Intelligence), • Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K - $135K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

We are looking for a Data Engineer to help us build structured, high-quality data solutions for our Content Understanding teams. Our teams process petabytes of data using tools such as BigQuery and Dataflow, and where needed we develop our own data tooling to support and evolve our music catalog. \n What You'll Do • Take ownership over, maintain and improve data pipelines that are integral to our success, • Evaluate and optimize our offerings for efficiency and reliability at scale, • Identify areas of architectural improvement to remove the potential for human error, • Collaborate with product and engineering teams to understand data requirements and create innovative solutions to challenging problems, • Understand the analytics data we collect from our systems and how it relates to the business value being produced Who You Are • Proven experience in data engineering, including creating reliable, efficient and scalable data pipelines for large data sets (especially in Python or Scala), • Experience in building and maintaining scalable backend systems, • Knowledge of cloud-based data platforms (AWS, GCP or Azure), • Strong collaboration and communication skills with technical and non-technical stakeholders, • Seek to participate in continuous improvement efforts such as software development, planning, estimating, developing and testing Where You'll Be • This role is based in New York City (USA), • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home \n$125.56 - $179.37 a year\n The United States base range for this position is $125,562 - $179,374 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. Data is core to Perchwell's mission of creating a unified Multiple Listing System (MLS). As a Staff Data Engineer, you'll collaborate with cross-functional teams (Data Analysts, Product, Design, and Engineers) to build robust data solutions. From building a data lake and warehouse solution to scaling our existing data infrastructure, you'll create a best-in-class system to accelerate Perchwell's ability to onboard client data quickly and accurately. As a foundational member on this new initiative, you'll have the opportunity to shape the standards, culture, and values of the data engineering team. We are looking for teammates who are excited to work from our SoHo NYC office 3 days a week. * Create and scale powerful data pipelines that seamlessly integrate millions of property listings and market insights from multiple real estate data sources and APIs * Champion data excellence by architecting automated governance systems that ensure pristine data quality and deep observability across our platform * Lead the evolution of our data infrastructure to support rapid MLS onboarding, building solutions that will serve real estate professionals nationwide * Partner with our Data Analytics team to transform raw property data into actionable insights, powering decision-making tools and market intelligence dashboards * You bring 6+ years of hands-on data engineering expertise, with deep experience in Python, SQL, or Kotlin to tackle complex challenges * You have a proven track record of architecting and deploying resilient data pipelines that seamlessly integrate with third-party APIs, handling both batch processing and real-time data streams * You've mastered the art of workflow orchestration using modern tools like Airflow, Dagster, or Prefect, ensuring data flows smoothly and reliably * Experience with cloud architecture (preferably AWS) and technologies including S3, SQS, RDS, EMR, Glue, Athena, and Lambda * Experience working with data warehouses: redshift, snowflake, ClickHouse or google bigquery * Experience building CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins * You understand the bigger picture of microservices architecture and have implemented cloud data lake solutions that drive real business value * Ability to translate complex concepts for diverse audiences and thrive in collaborative environments To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The compensation for this position is $200-$245K base salary + equity + benefits * Unlimited PTO, plus 10 paid company holidays * 401K with a company match * Medical, dental, and vision plans * HSA and FSA options * Commuter benefits * Parental leave * Company-wide onsite or offsite each year * Beautiful office in Soho, Manhattan with a stocked kitchen, catered breakfast and lunch once per week, happy hours and meet-ups Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Pontera is a fintech company on a mission to help people retire better. Our software platform enables retirement savers to get the help they need managing their 401(k) and other retirement plan accounts as part of a personalized strategy by their trusted financial advisor. Pontera is used by financial advisors across the nation– from SMB to Fortune 500 RIA firms, independent broker-dealers, plan custodians, and plan advisors. Backed by leading venture capital firms including ICONIQ Growth and Lightspeed Venture Partners, Pontera is built by talented individuals who share a dedication to helping people retire with greater security. Our team is fast-growing and driven to become one of the largest fintech companies in the world. Our culture is built on a people-first principle: in a complex and numbers-driven industry, we never lose sight of the people we serve and work alongside. That’s where you come in. We are seeking a highly skilled Senior Data Engineer to join our growing team. As a Senior Data Engineer, you will own the design, build, and optimization of Pontera’s data platform - powering analytics, and data-driven product features. At Pontera, the Data Engineer plays a crucial role in designing and overseeing all BI and analytics solutions. They collaborate closely with various departments such as Product, R&D, BizDev, and Executive teams to address their data analysis requirements. Additionally, they hold responsibility for essential financial and operational metrics. This role offers the opportunity to make a significant impact in a fast-paced, high-growth environment while working on meaningful challenges that directly advance our mission. At Pontera, we leverage a modern data stack that includes Snowflake, DBT, Python and Fivetran, with infrastructure-as-code and CI/CD best practices. • Design and maintain scalable data models and schemas in DBT/Snowflake to support analytical and operational workloads., • Build, optimize, and document robust ELT pipelines in SQL, Python, dbt for batch and near-real-time data ingestion., • Implement automated data-quality testing, monitoring, and alerting to guarantee trustworthy and timely data., • Collaborate with Product and Engineering teams on event instrumentation, schema design, and data governance standards., • Tune warehouse performance and manage cost efficiency through partitioning, clustering, and workload management., • Partner with Analytics and Data Science to translate business questions into engineered data solutions., • Mentor junior engineers and analysts, championing best practices in coding, documentation, and peer review. Experience: 5+ years in a data-engineering role in the tech industry, with a proven track record of scaling data platforms in cloud environments (AWS, GCP, or Azure). * Technical Skills: Expert SQL and Python; hands-on with Snowflake (or Redshift/BigQuery) and DBT. An advantage- Orchestration tools such as Airflow; familiarity with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), Familiarity with BI tools (Looker, Tableau) from a data-engineering perspective • Data Architecture: Deep understanding of dimensional modeling, CDC, and ELT best practices; experience integrating third-party APIs and event streams., • Quality & Reliability: Demonstrated success implementing data-quality frameworks and building highly reliable pipelines., • Business Acumen: Experience in FinTech, SaaS, or high-growth startup environments is a plus., • Communication: Excellent written and verbal communication skills, able to explain complex data concepts to both technical and non-technical audiences., • Collaboration: Strong interpersonal skills and the ability to work cross-functionally across Product, Engineering, and Analytics teams., • Experience with streaming platforms (Kafka, Kinesis, Pub/Sub)., • Background in ML feature-store design or real-time data serving., • Familiarity with BI tools (Looker, Tableau) from a data-engineering perspective., • Compensation: $160,000 to $200,000 annually, • Opportunity: Have a major impact at a fast-growing startup that is revolutionizing the FinTech industry, • Team Culture: A collegial, collaborative, fun work environment with frequent team events, • Equity: All new hires are eligible for equity grant participation, • Healthcare: Comprehensive & affordable insurance benefits with a variety of plan options, • Retirement: 401(k) with employer match & employer-sponsored access to a retirement advisor, • Family Benefits: Paid parental leave & reimbursement program for family planning services (such as fertility treatments, adoption, or surrogacy, • Professional Development: Sponsored learning & development program (to cover classes, certifications, and more!), • Food Perks: Fully stocked kitchen & lunch reimbursement program, • Work Flexibility: A hybrid office work model (In-Office Tues/Weds/Thurs and WFH Mon/Fri) & generous PTO day Pontera is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Location: Remote Hours: North America working hours Compensation: Competitive Salary & Benefits Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezones, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • Web3 / Blockchain, particularly the Ethereum ecosystem, • Base Salary: Competitive and dependent on location., • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Holidays: 25 vacation days per year plus any national holidays., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Remote Work: Work anywhere in the world., • Flexible Working: Flexible hours to support work-life balance., • Team-Building: Annual in-person get-together where we fly everyone to an exciting location (all expenses paid) to have fun and connect face-to-face., • Latest Tech: Work with cutting-edge AI and the latest technologies alongside an innovative and entrepreneurial team. Join Livepeer AI and shape the future of video streaming and AI tooling. • Day in the Life of Livepeer team members - ___, • Day in the Life of Livepeer team members -

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. Compensation: $175,000 - $270,000 salary, employee equity plan grant & world class benefits. As a Senior Machine Learning Engineer, you have expertise in modeling, statistics, and programming. You will work with our engineering and product teams to design, build, and produce proprietary machine learning models to solve different business challenges, including user targeting and segmentation, dynamic Ads content generation, entity embeddings and recommendation models. About the role: • Work on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation., • Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions., • Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments., • Mentor other team members, facilitate within/across team workshops and lead the agile development., • Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a plus., • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a plus., • 2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages., • Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch., • Experience working on Generative AI initiatives., • Strong understanding of software engineering best practices, • Be motivated, self-driven in a fast (we truly mean fast) paced environment with a proven track record demonstrating impact across several teams and/or organizations., • Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner., • At Rokt we encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise. We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town, • See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

📐 About this Role As a Software engineer, AI retrieval, you will be responsible for designing, implementing, and optimizing the AI retrieval systems that power our platform. You'll work closely with our data scientists, product managers, and other engineers to ensure that our AI models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. * Design and implement AI retrieval systems: Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant content. * Optimize performance: Ensure that our AI retrieval systems are highly performant, scalable, and can handle large volumes of data and requests. * Collaborate with cross-functional teams: Work closely with data scientists, product managers, and other engineers to understand requirements, provide technical guidance, and deliver high-quality solutions. * Code quality and best practices: Write clean, maintainable, and well-documented code, adhering to best practices in software engineering. * Testing and validation: Develop comprehensive unit and integration tests to ensure the reliability and accuracy of our AI retrieval systems. * API development: Build and maintain REST and GraphQL APIs using frameworks like FastAPI and Flask to expose our AI retrieval capabilities to other services and applications. * Streaming and cancelable endpoints: Implement streaming responses and cancelable endpoints to support real-time and interactive use cases, such as model output. * Continuous improvement: Stay up-to-date with the latest developments in AI and software engineering, and continuously improve our systems and processes. * Language fundamentals: Proficient in Python, with a strong understanding of data types, string manipulation, type casting and conversions. * Functions: Experienced in calling functions, using default and variable arguments, and writing lambda functions. * Virtual environments: Familiar with tools like venv, virtualenv, pipenv, and poetry for managing project dependencies. * File handling: Skilled in reading, writing, and manipulating files in Python. * Error Handling: Expert in handling errors and exceptions to ensure robust and reliable code. * Datamodels: Knowledgeable in designing and using data models to represent and manage data efficiently. * Context managers and logging best practices: Proficient in using context managers and implementing logging best practices to maintain code clarity and traceability. * Inheritance and method overriding: Experienced with object-oriented programming concepts, including inheritance and method overriding. * Magic methods: Familiar with Python's magic methods to enhance the functionality of custom classes. * Code formatting: Adheres to code formatting standards using tools like black, isort, flake8, and pylint. * Testing: Strong background in testing methodologies, including unit testing with pytest, mocking, and integration testing. * Versioning: Familiar with semantic versioning and maintaining changelogs to track changes and updates. * Data structures: Proficient in using stack, queue, and priority queue data structures (via collections) to manage and process data efficiently. * Functional programming: Experienced in functional programming concepts such as map, filter, reduce, generators, and decorators. * Async programming: Skilled in asynchronous programming using asyncio, aiohttp, async generators, and handling timeouts with wait_for. * Threading vs multiprocessing: Understands the differences and trade-offs between threading and multiprocessing, and can choose the appropriate approach for different tasks. * Memory and performance profiling: Proficient in using tools like tracemalloc and cProfile to identify and optimize memory usage and performance bottlenecks. * API development: Experienced in developing and maintaining REST and GraphQL APIs using frameworks like FastAPI and Flask. * Streaming responses and cancelable endpoints: Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. * Machine learning experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. * Natural Language Processing (NLP): Experience with NLP techniques and tools, such as spaCy or NLTK. * Distributed systems: Knowledge of distributed systems and experience with tools like Kubernetes or Docker. * Cloud services: Experience with cloud platforms like AWS, GCP, or Azure. * Open source contributions: Contributions to open-source projects or a strong portfolio of personal projects. 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic Need We have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Establish architectural patterns that become standards across StubHub's ML ecosystem Core ML Infrastructure & Exploration • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Explore innovative solutions outside standard approaches for complex ML infrastructure challenges Technical Leadership & Mentorship • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Lead complex technical initiatives spanning multiple teams and quarters Being the "Glue" • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Experience mentoring engineers and establishing technical best practices across teams Staff-Level Capabilities • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Mentorship and sponsorship experience growing junior and mid-level engineers Nice to Have • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer: • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$350,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found ___For California Residents: California Job Applicant Privacy Notice found We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

OffDeal is the world’s first AI-native investment bank for small businesses. Instead of selling AI to Goldman Sachs, we’re building what Goldman itself would have looked like if it launched in 2025. Wall Street's playbook works well, but only for billion-dollar deals - it breaks where most businesses actually exist. Traditional firms run oversized teams on outdated software, making smaller M&A transactions uneconomical. This leaves millions of small business owners with nowhere to turn for the most important sale of their lives… Until now. Our engineers built software to automate 80%+ of analyst work with AI, so our in-house bankers can focus where it counts - on earning owners’ trust and closing deals. We recently closed a $12M Series A ($17M in total funding) from Radical Ventures and Y Combinator and are scaling really fast. In less than a year, our team has already launched over 30 sell-side M&A transactions and has delivered numerous life-changing exits to our clients - and we’re just getting started. The Role As a Data Engineer, you'll be the architect of our data infrastructure, powering everything from AI-driven business valuations to strategic decision-making across the company, using data science. You'll work directly with our founders and cross-functional teams to build and maintain the data layer that enable our investment bankers to be 10x more productive. Your work will directly impact how we leverage data to transform the $10 trillion small business M&A market. What You'll Do * Build and maintain our core data infrastructure including Looker dashboards, BigQuery data warehouse, and all data pipelines from external and internal tools * Create product analytics dashboards that powers our business intelligence and lead generation efforts * Conduct data readouts for experiments and perform ad-hoc analyses to drive strategic decisions * Maintain and enhance OffDeal’s data lake by assessing new data vendors, cleaning and integrating external data sources, and improving accuracy of derived metrics using ML-based approaches * Build the golden datasets needed for effective prompt experimentation and A/B testing of LLM-based workflows * Improve search and ranking algorithms across all products * Handle all Revenue Operations infrastructure, including CRM data models, data hygiene, and marketing attribution to ensure clean, actionable business metrics We're Looking for Someone Who Has / Is a… * 3+ years of experience as a Data Engineer, Data Scientist, or similar role, at a technology company * Proficiency in SQL and experience with machine learning frameworks for data quality and ranking improvements * Experience working with a modern business intelligence data stack, especially BigQuery and Looker * Familiarity with of CRMs, marketing attribution, and revenue operations workflows * Experience with A/B testing frameworks and statistical analysis for product experimentation * High conscientiousness and meticulous attention to detail, ensuring data accuracy and reliability across all systems * Experience working with LLMs and prompt optimization is a plus Why Join OffDeal * We only hire best-in-class engineers, and are offering compensation to reflect it * Top-tier benefits, including medical, dental, vision, and unlimited PTO * 401K Matching * Perks like free food, Equinox membership, and NYC relocation allowance * Work with bleeding edge AI on a modern codebase * Opportunity to be a foundational team member at a well-funded, high-growth startup * Be part of a mission to shape the future of small business ownership and to promote American entrepreneurship

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML deployed at scale in support of a broad range of use cases driving value in media and catalog understanding. Here are some examples of the work you may support: Audio fingerprinting to understand what music is played in podcasts enabling musicians to get royalties, Video and image tagging to understand what is happening in any video on Spotify for moderation and recommendations, Audiobook Author attribution using graph ML approaches for search and recommendations, Categorizing tracks in the catalog to know which are functional content or music tracks leveraged in royalty calculations and in search and recommendations. Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry. We are looking for a Machine Learning Engineer to help us define and build Spotify’s capabilities in this area. Our team expands the state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog. \n What You'll Do • Build production systems that enrich and improve our listeners’ experience on the platform, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development, • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users, • Help drive optimization, testing, and tooling to improve quality, • Perform data analysis to establish baselines and inform product decisions, • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features Who You Are • You have professional experience in applied machine learning, • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)., • You have some hands-on experience implementing or prototyping machine learning systems at scale, • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark., • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You have experience and passion for fostering collaborative teams, • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus, • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus Where You'll Be • For this role you should be based in New York City (USA). \n$136.88 - $195.54 a year \n The United States base range for this position is $136,878 - $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have experience fine-tuning and evaluating LLMsYou have experience building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have extensive experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products., • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___ This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $138,250- $197,500plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team. We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight. What You’ll Be Doing • Design and implement advanced ML and DSP models for speech/audio, • Build robust inference pipelines and APIs, • Work cross-functionally to improve dataset quality and model performance, • Own the ML roadmap and influence strategic direction What You Bring • BSc degree in ML, data science, or engineering, • Strong applied ML experience (audio or signal processing ideal), • Proven track record of deploying ML models in production, • Python + PyTorch expertise; cloud experience (AWS/GCP) Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth

Stainless is a fast-growing tech startup building the future of APIs. Our customers include industry leaders like OpenAI, Anthropic, and Cloudflare. ___ from a16z, Sequoia, and other great investors. We are currently ~20 people based primarily in NYC (just west of SoHo) and looking to grow quickly over the next 3 years. Forward Deployed AI Engineers build and deepen the technical relationship between Stainless and our most important users. You’ll work directly with some of the most innovative technology companies like OpenAI, Anthropic and Cloudflare. You’ll be the voice of the customer to the rest of the company, advocating for them and directly influencing the roadmap of the company both immediately and longer term. To excel in this role you will have strong independent judgement and can write software in a wide variety of programming languages (maybe from prior experience or picked up on the job). You learn quickly and can jump into unfamiliar contexts (and repositories) with ease. You’ll be directly contributing to some of the most used and visible codebases today and collaborating with our most important users. Overall you’ll: * Work directly with critical customers like OpenAI, Anthropic and Cloudflare to: * Evolve their SDKs through the release of new features (Run Tools, Structured Output, Streaming Helpers) * Directly contribute to their SDKs by writing custom helpers, utilities and extensions for advanced use cases like Server Sent Events, websockets and more to come. You’ll work closely with companies like OpenAI and Anthropic as a critical partner in the lead-up to all their major API launches. * Do all of this across all languages that Stainless supports, learning new languages where needed. * Build AI-powered tooling to: * configure new users’ SDKs when signing up for Stainless * translate custom tailored solutions from one language to many * write rich, purpose-built examples and demos for prospective customers * Write great docs, help build a great website, do what needs done * Write code both internally and for external customers. Some examples: * improving our SDK Codegen to handle new use-cases * writing examples and demos for new feature releases * Location: * Either: * onsite in our physical office in Hudson Square, Manhattan, New York (flexible WFH) * PST Remote You might be a good fit for this role if: * You were a founder or founding engineer of an AI-driven company and worked really closely with your customers to help understand their needs and solve them * You have broad polyglot interest/experience – comfort working across multiple programming languages, and enthusiasm to build proficiency with even more * You have experience using AI to generate high-quality code. * You have a true passion for developer experience and empathy for developers from all backgrounds (junior, non-traditional, expert power-user etc) * You love connecting with all users: learning their needs and coming up with creative solutions to solve them * You care deeply about great communication about technical subjects, from terseness of a tweet to an expanded tutorial in documentation * You’re a quick learner, self-motivated, and able to execute quickly whilst maintaining high quality * You love crafting a great product. You appreciate and show extreme detail-orientation in articulating papercuts and finding every possible corner of polish * Experience building and consuming APIs * Built and/or maintained a popular open-source project * We offer competitive salary and generous equity grants. * Great healthcare coverage options (e.g., fully covered platinum plans). * Paid commuter benefits & similar. * Paid team lunch during workdays. * Flexible PTO plus 2 weeks of companywide vacation a year.

Spotify is looking for a Staff ML Engineer to join the Native Ads product area in the Music Mission. In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with fans. You will play a crucial role in shaping the future of Native Ads products, technology and business, and represent Native Ads in the continuously evolving Coordinated Promotions ecosystem by collaborating with key partners in PZN and Ads. As the Staff Machine Learning Engineer for this team, you will work with a cross-functional team to define and execute a Machine Learning technical strategy for the product area. Working with a team of Engineering Managers, Staff and Senior Staff Engineers, along with a team of engineers and partners in PZN, you will shape and drive initiatives that tackle complex problems surrounding campaign forecasting, serving observability and targeting optimization with the goal to improve overall supply and campaign performance. You will build ML-driven solutions to bring promotional music experiences to our 350+ million active users on behalf of millions of artists, using a diverse range of datasets including user behaviors, contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music and the way creators connect to their fans! • Lead the creation of a Machine Learning Engineering Strategy for Native Ads, • Contribute to designing, building, evaluating, shipping, and refining Native Ads products via hands-on ML development, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans., • Prototype new approaches and productionize solutions for Spotify For Artists customers, • Help drive optimization, testing, and tooling to improve quality., • Work closely with Personalization and Music Tech Research teams to ideate and innovate on Music Promotion Tools, • You have a strong background in machine learning, with experience and expertise in machine learning algorithms., • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages., • You have experience or a strong interest in emerging agent technologies and generative recommender systems, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects, • Be accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Passion for the opportunity to better serve artists & their teams, • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • A plus if you have experience with Ads systems, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have

Writer is seeking an experienced developer advocate focused on technical content to join our Developer Relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will produce world class technical content to drive awareness of Writer research and technology and adoption of the Writer platform. You will work with product marketing, lifecycle marketing, developer experience, and AI and software engineering to develop high quality technical content across our engineering blog, newsletters, launch assets, and more in a variety of mediums. When applying, please submit examples of your technical content that are relevant to your work experience (e.g. blog post, video, or related material). If you do not, your application will not be considered. * Deliver world class technical content across mediums telling the story of Writer’s research and technology. * Develop educational technical content across mediums for the Writer platform (Agent Builder, API, and SDKs) and partner integrations. * Act as our “internal journalist,” working with our AI and engineering teams to develop stories on the interesting work they’re doing that we can shout from the rooftops. * Partner with Product Marketing and Content to develop launch assets (written and video) for research paper publication, model launches, and new technology announcements. * Partner with inbound and lifecycle marketing to develop gated technical content and own developer newsletter content. * Assist other developer relations and experience team members with docs, SDKs, and event staffing when needed * Independently and proactively manage projects in coordination with the team, adhering to deadlines and contributing to our overall developer experience strategy. * Report to our Director of developer relations. * You are obsessed with technical storytelling and deeply understand the critical importance of balancing education with marketing impact. * You understand the nuances of different technical personas working in AI: researchers, developers, and IT. * You bring at least two years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of creating impactful technical content across mediums. * You have experience with AI and ML, with additional proficiency in python. For example, you'd feel at home attending and presenting at LLM Paper Clubs. * You have strong analytical and problem-solving skills. * You quickly adapt to new domains and are able to communicate complex ideas and concepts effectively. * You are able to work independently and collaboratively. * You put the reader and viewer first, ensuring content is accessible and engaging. * Formal or otherwise documented education in machine learning, artificial intelligence, or AI engineering is preferred * Experience developing technical content for an AI company * Experience working in a fast-paced startup environment * Familiarity with building applications that use LLMs 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay. We recently raised a $20 million Series A led by Kleiner Perkins with participation from NVIDIA, Khosla Ventures, Saga Ventures, South Park Commons, and SV Angel, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin). Learn more at ___. Profound is looking for an experienced Data Engineer to own and scale our data platform. You will maintain and optimize our pipelines, design new ingestion processes, and support the data needs of our product, data science, and go-to-market teams. This is a great opportunity for someone who enjoys working with modern data tooling, improving performance and reliability, and building the foundation for ML-powered features. * Maintain and improve our data pipelines to keep data flowing reliably from ingestion to delivery * Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster * Own data quality by implementing monitoring, alerting, and validation * Manage and extend our infrastructure, including orchestration and CI/CD for data workflows * Support MLOps as we develop and productionize machine learning models * Be on call for critical pipelines and respond quickly to issues * Collaborate with data scientists, product managers, and engineers to launch new data products * Proven experience designing, building, and maintaining production data pipelines * Proficiency in Python and SQL * Hands-on experience with dbt, orchestration frameworks (such as Dagster, Airflow, or Prefect), and AWS * Familiarity with Snowflake, Clickhouse, or other modern data warehouses * Strong problem-solving skills and a proactive mindset * Experience with or interest in MLOps and supporting ML workflows in production * A sense of ownership and accountability for data quality and reliability * Access to some of the most interesting and rare data assets in AI, based on real human interactions with large language models * The chance to own and shape Profound’s data platform at an early stage * The opportunity to work on meaningful problems at the intersection of AI and marketing * A fast-moving culture with autonomy, trust, and room to grow * Competitive compensation and meaningful equity This is an on-site role in our ___—designed for builders who thrive on speed, iteration, and impact. We’re happy to support visa sponsorship for qualified international candidates.

About the Role Aura is hiring a Senior Data Engineer with 5+ years of hands-on experience building and scaling data infrastructure. This is a high-impact role that involves end-to-end ownership of data pipelines, close collaboration with cross-functional teams, and contributions to the foundation of Aura's analytics and ML workflows. Role Responsibilities • Design, build, and maintain reliable and scalable data pipelines from raw ingestion to downstream analytics layers (including dashboards and ML features)., • Lead the development of new data infrastructure projects from scratch and own delivery through production., • Collaborate with data scientists, ML engineers, and product teams to ensure high data quality and stakeholder alignment., • Establish and maintain robust monitoring and observability across the data stack., • Optimize performance and cost across data workflows (e.g., query tuning, storage optimization)., • 5+ years of professional experience in data engineering or a related field., • Advanced SQL skills and deep experience with modern data warehouses, especially Snowflake., • Proficient in orchestration tools such as Dagster or Airflow., • Experience with dbt for data modeling and transformation., • Strong Python programming skills., • Experience working in cloud environments, particularly AWS (e.g., S3, Lambda, ECS)., • Familiarity with version control, CI/CD workflows, and Infrastructure-as-Code. Preferred Experience • Prior experience working in a fast-paced startup environment., • Experience owning and delivering greenfield projects independently., • Deep expertise in Snowflake, including performance tuning and cost optimization., • Knowledge of cost optimization strategies for cloud-based data infrastructure., • Background in analytics or ML data preparation., • Comfortable with ambiguity and able to make decisions in lightly structured environments.

Better is reimagining home finance and making it faster, cheaper, and easier for everyone to become a homeowner. We leverage creative technology and innovation to make the home buying journey more approachable and understandable and home finance more affordable and accessible. Here are some interesting facts to help you get to know Better: • We’ve funded over $100 billion in loans for our customers, more than any other fintech, • Yahoo! Finance - Best Mortgage Lender for First Time Homebuyers of January 2025: Best lender for quick approval, • Yahoo! Finance - Best Mortgage Lenders of 2025: Best online mortgage lender, • Fintech Breakthrough Award: Best Lending Innovation Award, • Money Magazine - 8 Best Mortgage Lenders of 2025: Best for fast closing, • We are Forbes’ Best Online Mortgage Lender for 2023, • We have raised over $1.2 billion in equity capital to transform the mortgage industry, the largest financial asset class in the world We are a place where smart, hungry, ambitious people who want to recognize their full potential thrive. A Better Opportunity We are seeking an experienced Senior Software Engineer to join the Artificial Intelligence team at Better, a leading digital mortgage company. As a Senior AI Engineer, you will play a pivotal role in revolutionizing the mortgage and homeownership industry. Together with the stakeholders and the team, you will be leading, crafting, and shaping artificial intelligence capabilities in our wholly owned Tinman Loan Origination System. AI will power the latest features for our Homeowner customers, Loan Officers, Underwriters, and more. In this role, you will build core artificial intelligence capabilities, including virtual assistants in both voice and chat bot form and implementing the tools these agents interact with across our vast platform. \n Responsibilities • Collaborate closely with the product team to innovate and iterate on existing services and develop new ones, with a focus on enhancing the digital mortgage origination process., • Design, develop, and maintain robust and scalable software solutions that power Better's digital mortgage origination platform, utilizing a variety of technologies and programming languages., • Implement best practices for code quality, testing, and deployment to ensure the reliability and efficiency of the digital mortgage origination process., • Work closely with the compliance team to ensure that all software solutions adhere to strict state and federal regulations governing the mortgage industry., • Collaborate with cross-functional teams to gather requirements, provide technical insights, and drive the implementation of features and enhancements aimed at improving the digital mortgage origination experience for customers and internal users., • Stay up to date with the latest advancements in software engineering, mortgage technology, and regulatory requirements, continuously seeking opportunities to enhance Better's digital mortgage origination platform. Qualifications • Master's degree in engineering preferred, • 5+ years of full stack experience. Proficient in Typescript, Python, ReactJS, developing RESTful APIs and CRUD operations., • Experience build virtual chatbots, agents, implementing tools with OpenAI or similar vendors required, • Excited to work in a fast paced, high growth startup environment., • A commitment to writing understandable, maintainable, and tested software., • A desire to deliver and a strong sense of accountability for your work., • Experience building and enhancing telephony/dialer systems, preferably using Twilio or similar platforms is a plus. \n$190,000 - $240,000 a year\n Company Benefits We are thrilled to offer all our full-time employees the following benefit offerings: • Benefits eligibility effective DAY ONE, • *$0 medical plan premium offering coverage nationwide paired with our Health Savings Account that includes an employer contribution (*Additional Medical, dental, vision plan options also all with nationwide coverage), • Flexible PTO, • Immediate virtual mental health support by licensed therapists for our employees and their eligible dependents age 6 and up! First few visits at no cost to you!, • Personalized care for every fertility and family care journey for our employees and their partner!, • Dependent care benefits (i.e. childcare and/or elder care costs) and commuter benefits both include a company match!, • Discount programs and perks including pet Insurance! In Office Perks include: • Have Lunch on us! Daily lunch stipend for meals while in the office, • Monthly social events, • NYC HQ Oculus discounts The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided. Disclaimer Better Home & Finance Holding Company is an equal opportunity employer committed to fostering an inclusive and diverse environment for our employees. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status, or any other reason protected by law. We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. Better will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.

We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In this role, you will work closely with our data scientists, data engineers, and platform engineers to develop and deploy machine learning models and pipelines for various classification projects and more. • Develop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools, • Collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase, • Contribute to building and maintaining our MLOps infrastructure from the ground up, with a focus on extensibility and reproducibility, • Take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind, • Optimize machine learning models for performance and scalability, • Integrate machine learning models into production systems using frameworks like SageMaker, • Stay up-to-date with the latest advancements in machine learning and MLOps, • Assist in improving our data management, model tracking, and experimentation solutions, • Contribute to enhancing our code quality, repository structure, and model versioning, • Help identify and implement the best practices for ML services deployment and monitoring, • Collaborate on establishing CI/CD pipelines and promoting deployments across environments, • Address technical debt items and refactor code as needed, • 2+ years of experience in machine learning engineering or a related role, • Strong proficiency in Python programming, • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn, • Familiarity with cloud platforms like AWS, including services like SageMaker, S3, and Secrets Manager, • Experience with data processing, cleaning, and feature engineering for structured and unstructured data, • Knowledge of software development best practices, including version control (Git), testing, and documentation, • Excellent problem-solving and debugging skills, • Strong communication and collaboration abilities, • Ability to work independently and take ownership of projects, • Experience with Infrastructure as Code (IaC) tools, preferably Pulumi or Terraform, • Experience with classification models and libraries such as XGBoost, SentenceTransformers, or LLMs, • Knowledge of data versioning, experiment tracking, and model registry concepts, • Familiarity with data pipeline and ETL tools like Dagster, Snowflake, and DBT, • Experience with monitoring logs, metrics, and performance testing for batch inference workloads, • Contributions to open-source machine learning projects, • Experience with deploying and monitoring machine learning models in production As part of our team, you'll have the opportunity to shape our MLOps practices and tools from an early stage. We'll provide you with the necessary resources and support to set up your development environment and contribute to our codebase effectively. You'll work on projects focused on building classification systems to clean and augment our data platform. This includes developing data processing pipelines, training and evaluating models, and deploying them to production. You'll also be responsible for monitoring the performance of these models and optimizing them for real-time or batch inference. If you are passionate about building robust machine learning systems from scratch and thrive in a collaborative, fast-paced environment, we'd love to hear from you. Join our team and help us establish best-in-class MLOps practices!

Job Summary:We are looking for enthusiastic and motivated campus graduates to join our team as Data Engineers. This role is ideal for fresh graduates who are passionate about data, cloud technologies, and analytics. As a Data Engineer, you will work with senior engineers to build, optimize, and maintain data pipelines and infrastructure, ensuring that data is accessible, reliable, and secure for analytics and business use. Key Responsibilities:· Assist in the design, development, and maintenance of scalable data pipelines.· Support data integration from multiple sources (structured and unstructured).· Work with databases, data warehouses, and cloud platforms (AWS, Azure, or GCP).· Ensure data quality, consistency, and reliability across systems.· Collaborate with data scientists, analysts, and business stakeholders on data requirements.· Support troubleshooting and performance tuning of data processes.· Learn and implement best practices in data engineering and cloud technologies. Qualifications:· Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related field.· Strong knowledge of SQL and databases (relational and NoSQL).· Familiarity with at least one programming language (Python, Java, or Scala preferred).· Basic understanding of data engineering concepts (ETL, data pipelines, APIs, data warehousing).· Exposure to cloud platforms (AWS, Azure, GCP) is a plus.· Good problem-solving and analytical skills.· Strong communication and willingness to learn. Preferred Skills (Nice to Have):· Exposure to Big Data tools (Hadoop, Spark).· Familiarity with data visualization tools (Power BI, Tableau).· Understanding of DevOps, Git, or CI/CD pipelines.

At ___, we've built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're on to something. Try adding 332-286-3377 to group texts to kick its tires! We've seen extremely rapid growth over the last few months, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. You're an experienced (Senior/Staff) machine learning engineer with broad knowledge and skills. You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Have experience fine-tuning LLMs for both generative and discriminative use cases. * Have created datasets for such fine-tuning (human-labeled or synthetic). * Know the pitfalls and tricks for building with LLMs * Are experienced writing Python, and using an ML framework such as Pytorch, Jax, or TensorFlow. * You know how to work independently to handle ambiguity. * Have a PhD in Machine Learning (or a Master’s or Bachelor’s with exceptional industry experience). * Have at least a few years of experience working in fast-moving startups. * Are based in Seattle, San Francisco, or New York. ___ of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at ___ We welcome referrals! If you know someone exceptional for this role, please email us at

Prizeout is a leading New York city based fintech company where innovation meets financial empowerment. We provide rewards and loyalty solutions to partners that revolutionize the way their customers engage and maximize their financial potential. We're seeking passionate individuals to drive our mission forward and transform the landscape of advertising and financial technology. We have built a team that values humility and innovation and we believe that embracing challenges makes us better. We hire people we trust, who will live these values and who are able to find a way to navigate through obstacles, embody an entrepreneurial spirit, and maintain a spirit of optimism. If that’s you, please read on and apply today! ABOUT THIS ROLE: As a Data Engineer at Prizeout, you're not just building pipelines and crunching numbers; you're at the forefront of a movement to transform how customers engage with their financial institution. Imagine diving into challenges every day, surrounded by a team that values creativity, teamwork, and a little ambiguity. Your expertise isn't just shaping algorithms; it's shaping the future of how we connect people with the rewards they deserve. If you're ready to roll up your sleeves, bring your best ideas to the table, and be part of something truly revolutionary, this might just be the perfect opportunity for you! \n WHAT YOU’LL DO: • Develop deep data expertise and own data quality while conforming a variety of 3rd party data sources into clean and validated solutions, ensuring seamless integration and reliability, • Build and support complex data pipelines for our financial institution rewards products including loading, validation and classifications of core and card data, • Support our credit union partners, other partners, and our internal teams through simple and automated financial reconciliation processes across all data sources and integration touch points, • Apply a business-minded approach to data engineering tasks with an understanding of the impact on business operations and objectives, • Design and develop data pipelines and processes that optimize performance, scalability, and reliability from both internal and external data sources, • Proactively monitor data infrastructure and systems, identifying and addressing potential issues to ensure uninterrupted data flow, • Continuously evaluate and improve data engineering practices, staying updated on emerging technologies and best practices in the field, • This role will report to the Director of Data Platforms WHAT WE’RE LOOKING FOR: • 3+ years of development experience, ideally in a microservice architecture using languages such Python on the backend, • Experience working with distributed systems in a cloud computing environment, • Strong SQL skills and database expertiseSnowflake experience a plus, • Ability to thrive in a dynamic, fast-paced, collaborative, and high-growth environment with the ability to adjust to changing priorities and make tradeoffs when guidance is limited and information incomplete, • Proficient in identifying and implementing scalable engineering processes, drawing from past experiences to anticipate and navigate the path forward, • Team player first and foremost with strong communication skills and a get-it-done approach, • Excellent communication skills, adept at conveying complex ideas clearly and seeking assistance when needed, • Demonstrates a hustle mentality, driven to achieve goals efficiently and effectively, • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time, • The expected salary range for this position is $135,000-$170,000 \n$135,000 - $170,000 a year\n WHAT IS PRIZEOUT? Prizeout is an advertising and financial technology company that helps put money back into people’s pockets. Through Prizeout’s technology, brand-funded offers are available to all partners, including financial institutions, gaming companies, gig economy startups, and more, giving them access to instant cashback from national and local brands when they shop with digital gift cards. The company was founded in 2019 and is headquartered in New York City. Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Equinox is seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a full-time role located in our NYC office. RESPONSIBILITIES • Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems, • Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models, • Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure, • Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics, • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions, • Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets, • Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt), • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process, • Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation, • 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus), • Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows, • Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets, • Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis, • Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling), • Familiarity with dbt Labs and modern ELT/analytics engineering practices, • Experience working with structured, semi-structured, and unstructured data, • Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust, • Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams, • A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment Pay Transparency: Min $145K - Max $175K. THIS ROLE IS NOT REMOTE. AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at ___ Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

BSE Global ("BSE") is a multifaceted sports and entertainment business that brings people together to experience music, sports, and culture through our teams and venue. Through these experiences and in our workplace, we strive to elevate our business, grow our fan base, and cultivate a community anchored in belonging and inclusion in every aspect, on and off the court. SUMMARY As a data engineer, you will help lead and scale our data engineering function, driving the implementation of scalable data pipelines, platform integrations, and data architecture best practices. You’ll build end-to-end data pipelines, sustainable data products, and integrate new platforms that drive insights for ticketing, merchandising, marketing attribution, and fan engagement. The ideal candidate is enthusiastic about data engineering, detail-oriented, and eager to collaborate closely with data analysts and stakeholders across our company. This role offers an excellent opportunity to grow technical skills in a dynamic sports organization with a focus on performance and fan engagement. WHAT YOU WILL DO: • Architect scalable, robust, and cost-effective data platforms (data lake, warehouse, streaming) on cloud services (AWS, Azure, GCP)., • Lead the design, development, and deployment of AI-powered solutions by leveraging platforms such as Amazon Bedrock, Snowflake Cortex, and emerging generative AI technologies to support scalable, data-driven innovation., • Create and optimize data models and schemas tailored to business needs, enabling efficient data retrieval and analysis., • Manage and enhance PostgreSQL databases, focusing on performance tuning, stored procedures, and data quality assurance., • Foster a culture of collaboration, code quality, documentation, and continuous improvement (CI/CD, automated testing, code reviews)., • Lead efforts to improve data pipelines by identifying opportunities for increased efficiency, reliability, and scalability., • Oversee the design, implementation, and maintenance of batch and real-time ETL/ELT processes (AWS Glue, Apache Airflow, dbt, etc.)., • Ensure high availability, reliability, and performance tuning of data workflows and databases (PostgreSQL, Snowflake, Databricks)., • Collaborate with analysts and cross-functional teams to understand data requirements and deliver actionable insights., • Align with information-security, legal, and compliance teams to enforce data governance, lineage, and privacy standards., • Stay abreast of emerging data technologies (stream processing, metadata management, data cataloging) and introduce best-in-class tools., • Drive the integration of new data sources into our datalake, with a focus on automation, methodology improvements, and future scalability., • Document workflows, data sources, and pipelines to ensure transparency and ease of use for all team members., • Monitor and resolve data inconsistencies, working to enhance data accuracy and integrity., • Contribute to the development of advanced attribution models to measure the effectiveness of marketing efforts., • Continuously improve analytical tools, processes, and methodologies to advance the team's impact on decision-making. WHAT YOU WILL BRING: • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent practical experience). Masters degree preferred., • 6+ years of hands-on data-engineering experience, including 1-2 years in a leadership role., • Experience with SQL, especially PostgreSQL, and a solid understanding of relational databases., • Proven track record of establishing and revamping best practices for reproducible research: version control (Git), code reviews, unit testing, and documentation., • Strong understanding of data-warehousing concepts, ETL/ELT frameworks, and big-data processing (Spark, Kafka, etc.)., • Familiarity with data modeling principles and experience building data models to support analytics and reporting. Use of data modeling tools such as dbt and/or coalesce preferred., • Experience with at least one ETL tool or framework (e.g., AWS Glue, Apache Airflow)., • Proficiency in python and data wrangling techniques, with a strong understanding of data manipulation, data warehousing concepts and structures., • Experience with Snowflake, Databricks, dbt, or similar modern data-stack technologies., • Ability to document workflows clearly and contribute to knowledge sharing within the team. WHO YOU ARE: • Strong analytical problem-solver, with the ability to gather, analyze, and interpret complex data sets., • Excellent written and verbal communicator, with the ability to effectively present complex data and insights to both technical and non-technical stakeholders. TRAVEL REQUIREMENTS: Travel may be required on rare occasions (< 5% travel); may require air travel and/or overnight stay of one or more nights. SALARY RANGE: $110,000 - $125,000 WORK ENVIRONMENT: Work primarily in an office environment. We are an Equal Employment Opportunity ("EEO") Employer. It has been and will continue to be a fundamental policy of the Company not to discriminate on the basis of race, color, creed, religion/creed, gender, gender identity, transgender status, pregnancy and lactation accommodations, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage, immigration, or citizenship status, veteran or military status, disability, genetic information, height and weight, arrest or conviction record, caregiver status, credit history, unemployment status, sexual and reproductive health decisions, salary history, status as a victim of domestic violence, stalking, and sex offenses, or any other characteristic prohibited by federal, state or local laws.

Mid-Level DevOps Engineer Compensation: $100,000-$140,000 plus equity. Comprehensive benefits included. Minimum Experience Required: 2-4 years of DevOps experience. Work Authorization: Candidates must be authorized to work in the United States. We cannot sponsor work visas at this time. Location: 100% Remote Powering Innovation at Altela: With $20 million in funding (check us out on Crunchbase!), Altela is scaling rapidly. We're looking for a talented DevOps Engineer to help us automate our infrastructure and streamline our deployment processes. Your Role: As a Mid-Level DevOps Engineer, you'll be instrumental in enhancing our development workflows and ensuring the reliability of our systems. Your expertise will help us deliver high-quality software faster and more efficiently. What You'll Do: * Implement and maintain CI/CD pipelines to automate deployment processes, ensuring rapid and reliable releases. * Manage cloud infrastructure on AWS, ensuring high availability and performance while optimizing costs. * Collaborate with engineering teams to improve development workflows and practices, fostering a culture of continuous improvement. What You Need: * 2-4 years of DevOps experience with a strong understanding of cloud technologies and infrastructure management. * Proficiency with Docker, Kubernetes, and Terraform to manage containerized applications and automate infrastructure provisioning. Bonus Points: * AWS certification to validate your expertise in cloud services and architecture. * Experience with monitoring tools such as Prometheus and Grafana to ensure system reliability and performance. Why Altela?: * Remote-first culture that promotes flexibility and work-life balance. * Competitive salary and equity to reward your contributions and commitment. * Comprehensive healthcare coverage, including health, dental, and vision, to support your health needs. * Professional development opportunities to enhance your skills and career growth. *

Created by hospitality operators for hospitality operators, Avero is the trusted technology partner for the hospitality industry. We empower 40,000+ hospitality professionals with the answers they need to transform their businesses and their lives, getting them out of the back office and into the kitchen with their staff, onto the floor with their guests, and at home with their families. We are a remote-first company with headquarters in New York City. Role OverviewAvero is seeking a Senior Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing and developing scalable data solutions that empower internal teams and drive customer-facing analytics. You will work closely with our Data Architect and other stakeholders to evolve our data models and infrastructure, with a strong focus on advanced SQL, data transformation, and workflow orchestration. This is a hands-on individual contributor role with architectural influence. You’ll write production-grade SQL and Python code, collaborate on data modeling and system design, and help ensure our data pipelines are robust, efficient, and maintainable. This is a 100% remote position reporting to Avero’s Vice President of Engineering. As we continue to expand our data capabilities, there may be opportunities to grow a team around this role, offering future leadership potential for the right candidate. • An experienced data engineer with a deep mastery of SQL and strong fundamentals in data modeling, • Skilled in Python and comfortable working with modern data workflow orchestration tools like Airflow, • Thoughtful and detail-oriented, with a passion for building clean, performant, and reliable data pipelines, • Excited to collaborate with architects and product/engineering teams to shape our data strategy, • A strong communicator and problem solver, particularly in a distributed team environment, • Comfortable balancing pragmatic execution with long-term technical quality, • Design and build reliable, performant ELT pipelines using SQL, Python, and Airflow, • Collaborate with our Data Architect on data modeling, schema design, and warehouse optimization, • Develop and maintain data infrastructure to support internal analytics and external reporting features, • Ensure data quality and integrity through testing, monitoring, and documentation, • Work closely with engineering and product teams to deliver data that enables smarter decisions, • Participate in code reviews and continuously improve our data engineering best practices, • Troubleshoot and resolve issues in production data workflows as needed, • You don’t need to be an expert in everything, but familiarity with several is expected. We’ll support your growth in the rest., • Languages & Tools: SQL, Python, Airflow, dbt, • Databases & Storage: Oracle, PostgreSQL, Snowflake, • Data Infrastructure: AWS (S3, RDS, EC2), Terraform, Docker, • BI & Analytics: Looker, Tableau (bonus, not required), • Competitive pay with a strong focus on maintaining work/life balance, • Company-sponsored benefits including Medical, Dental, and Vision coverage, • Remote work flexibility (We operate as a fully remote team!), • Health Savings Account (HSA) featuring quarterly employer contributions, • Flexible Spending Accounts (FSAs) for medical and dependent care expenses, • Employer-paid coverage for Disability, Life Insurance, and AD&D, • Transit benefits available for NYC-based employees, • 401(k) retirement plan to support your financial future, • Paid Parental Leave to support growing families, • ClassPass membership to help you stay active and well

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth. DESCRIPTION Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within New York area, NY. QUALIFICATIONS: Master’s degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role. Must have two (2) years of experience in/with: advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within New York area, NY. Salary: $119,600 to $155,000/year, M-F, 40 hours a week. About Nielsen: Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #LI-DNI #IND-DNS \n \n

📐 About this role We are looking for a Data Engineer to join our small but mighty Data team. This role presents an extremely rare and unique opportunity to influence the architecture and tools that power our data analytics and reporting capabilities. You’ll be at the intersection of engineering, product and data, leading the integration of our product, financial, and business systems. If you are passionate about data modeling and solving complex data problems, we want to hear from you! Tech stack Core tools: BigQuery, dbt, Fivetran, Hightouch, Segment, Amplitude, Omni Periphery tools: Salesforce, Hubspot, Gong, Vitally 🦸🏻‍♀️ Your responsibilities: * Data Workflows: Own, build, and maintain data pipelines, ETL/reverse-ETL processes and BigQuery environment. * Data Quality: Implement an orchestration tool. Design a suite of tests and validations to ensure data consistency, accuracy and integrity. * Data Modeling: Develop reliable and lasting data models, while optimizing for scale. * Documentation: Catalog and document all aspects of our data pipelines. Create the foundation for a data governance program. * Collaboration: Partner with product and engineering teams to deliver data solutions that align with downstream use cases. * Data Leadership: Establish data engineering best practices and serve as a subject matter expert on our data architecture, models and systems. ⭐️ Is this you? * 5+ years of hands-on experience in a data engineering role, ideally in a SaaS environment * Expert in SQL, dbt and Python * Advanced knowledge of data engineering tools, frameworks and languages (eg. Airflow, Airbyte, Kafka, github workflows) * Experience working with services in cloud environment (eg. AWS or GCP) * Care deeply about data quality, integrity and security * Thrive in ambiguity and can create paved roads from dirt paths * Bonus points if you have experience with product event/attribute tracking design and implementation AND * High intellectual curiosity and a proclivity to lean into a new subject matter * A trusted advisor and partner for all levels of the organization * Intrinsically motivated: you set the highest possible bar for what you build and ship * An eye for spotting an opportunity, intuition for determining which ones to prioritize, and courage to follow through * Possesses humility — no work is too trivial if it’s impactful * Resilient and open to honest (and kind) feedback; tough skin * Self-aware and committed to learning the why for both successes and failures * Proactive communication skills, both sync and async * Experience managing and building relationships across multiple departments and stakeholder levels * A natural affinity to our values of connect, challenge, own #LI-Hybrid 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. In this role, you will lead engineering operations to ensure timely delivery of high-quality projects. You’ll be responsible for organizing and optimizing the team’s workflow using agile methodologies, including sprint planning, daily stand-ups, and regular feedback sessions. You’ll collaborate closely with the Director of Strategy and Systems to align on product goals, user needs, and system architecture. In addition, you’ll coordinate with two adjacent teams to set cross-functional priorities, track progress, and drive product value. As a team leader, you’ll oversee resource planning to ensure efficient execution and delivery. You’ll also have the opportunity to mentor and manage a talented group of engineers, fostering a culture of innovation, accountability, and continuous improvement. Responsibilities include, but not limited to: • Overseeing day-to-day engineering operations, ensuring teams meet deadlines and deliver high-quality work., • Manage and facilitate an Agile process, including participating in sprint planning, daily stand-ups, retrospectives, and backlog grooming., • You will collaborate closely with the Director of Strategy and Systems to understand product and feature requirements and user needs., • Manage resource allocation and facilitate timely feature delivery., • Collaborate with our Principal AI/ML Engineer to refine product priorities, track progress, and weigh trade-offs., • You will coordinate with a parallel team acting as an internal customer, • Bachelor’s in Computer Science, Engineering, Mathematics, or a related field., • 10+ years of relevant industry experience in a fast paced, high growth tech environment., • Experience with Agile methodologies, with a track record of implementing and refining processes that drive team efficiency and effectiveness., • Ability to work backwards from the big picture to deliver incremental milestones without getting bogged down in bureaucracy., • Experience coordinating across multiple teams, including aligning teams’ goals with a collaborative, team-oriented approach., • A demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices and skills., • Master’s Degree in Computer Science, Engineering, Mathematics, or a related field., • Strong background in Software Engineering, with experience in managing technical teams and delivering complex projects., • Organizational and leadership skills, with the ability to motivate and guide a diverse team, • Exceptional written and verbal communication skills to collaborate effectively across teams and present technical concepts to non-technical stakeholders, • An intuition and enthusiasm for launching groundbreaking, deep-tech products., • Experience with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline., • Experience in the fields of computer graphics, computer vision, or visual computing, with a strong understanding of core concepts, algorithms, and tools used to create, analyze, and manipulate visual data. We are accepting applications for this position on an ongoing basis. #remote As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing ___. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

About Masterworks Masterworks is a fintech platform that allows anyone to invest in SEC-qualified shares of multi-million dollar paintings by names like Banksy, Basquiat, and Picasso. In just three short years, we have built a portfolio of nearly $800 million in world-class artworks, introducing over 800,000 individuals to the $1.7 trillion art market. Masterworks has been covered by major media publications such as The New York Times, CNBC, The Wall Street Journal, and the Financial Times, and was recently recognized as one of the Top 50 Startups in the US by LinkedIn. In 2021, Masterworks achieved unicorn status raising $110M in its Series A fundraising round at a valuation exceeding $1 billion. Our 200+ employees are based out of our offices at 1 World Trade Center in the Financial District of New York City. With an entirely in-office team, there are endless opportunities for collaboration, innovation, and learning. Why Masterworks? • Do you thrive on disruption?, • Do you want to live at the cutting edge of finance, technology, and art?, • Are you passionate about democratizing alternative investments?, • Do you enjoy meaningful work that has a noticeable impact on business performance? If you answered “Yes” to any of the above, we’d love to hear from you! We're looking for a skilled and proactive Data Engineer with 2–5 years of experience to help build and maintain robust, high-performance data pipelines and infrastructure. This role is ideal for someone who thrives in a fast-paced environment, has deep technical knowledge of Redshift, and is capable of diagnosing and improving SQL query performance. You’ll work closely with investment advisors, engineering, product, and analytics teams to ensure the reliability, efficiency, and scalability of our data systems. • Design, build, and maintain scalable ETL pipelines using Luigi and Apache Airflow, • Monitor and optimize performance of Redshift clusters, particularly:, • Diagnosing high CPU usage, • Identifying slow or resource-intensive queries, • Refactoring SQL for performance improvements, • Proactively build data quality alerts and notification systems to ensure pipeline health and catch missing/incomplete data early, • Work closely with analysts and stakeholders to ensure the data is accurate, available, and accessible, • Respond promptly to issues during working hours (within 5 minutes during core hours), • Lead or assist in potential migration projects (e.g., Redshift to Snowflake or other tools), including planning, testing, and execution Collaborate on data modeling and schema design to support analytics and application needs • 2–5 years of hands-on data engineering experience in a production environment, • Strong experience with Amazon Redshift, including query optimization and system diagnostics, • Proficiency with ETL orchestration tools such as Luigi and Apache Airflow, • Expert-level SQL skills; ability to analyze and optimize long-running queries, • Proven ability to troubleshoot high CPU or slow query issues on Redshift, • Familiarity with data alerting and monitoring tools (e.g., CloudWatch, Datadog, custom alert systems), • Strong communication skills and a collaborative mindset, • High responsiveness during working hours; ability to support production data pipelines and address urgent issues quickly, • Experience with cloud platforms (AWS preferred) Bonus: Experience leading or supporting data platform migrations • Experience with data warehousing concepts and modern data stacks, • Familiarity with data pipeline logging, testing, and observability best practices, • Experience with Snowflake or other modern data platforms, • Must be eligible for full-time US work - no exceptions., • Free admission to art museums and galleries, • Health, dental, and vision coverage with FSA options, • PTO and 401k, • Discounted Equinox membership

___ is delivering the fastest checkouts worldwide! Our AI-powered self-checkout system is running on Apple iPads. While it is as easy to install as any app, it recognizes items within split seconds and can be adapted to any assortment within minutes. Our clients range from local university canteens to big global caterers over huge sports and entertainment venues in the US. Founded in 2019, VisioLab has shown a high growth trajectory, backed by renowned venture capital firms. Over the years, we've expanded our team to more than 15 talented individuals with diverse backgrounds and skills. Headquartered in Osnabrück, we have a global team working to shape the future of self-checkout. In a fast-growing AI startup, you will be joining the technical team. The role of a Senior iOS Engineer is pivotal in our company's product development process. You will actively contribute to the continuous evolution of our core product and ensure that deliverables meet the highest standards of quality and user experience. Our Blink self-checkout app is an iPad-only application. This means you can focus on developing for a single device and take full advantage of the latest and greatest iOS features. • Get our app ready for scaling in the global market, • Evolve our iPad only Blink App using Swift, SwiftUI and Firebase, • Integrate payment devices using direct communication over the network or Bluetooth., • Stay up to date with the latest iOS development trends, tools, and best practices, • Directly make use of those features! Our clients all run on the latest iOS version, so no backwards compatibility. Just the most beautiful and modern code., • Strong experience in iOS development, with a strong focus on Swift and SwiftUI, • Proven track record of delivering high-quality, complex applications to the App Store, • Deep understanding of iOS frameworks, including experience with both unit testing and UI testing. At VisioLab, we foster a culture of open communication, collaboration, and quick learning, enabling us to adapt and excel in a fast-paced environment. Operating in two-week sprints, we consistently deliver valuable releases to our customers, ensuring their needs are at the center of our work. We hold ourselves to high standards, striving for quality in everything we do. Continuous improvement is a key part of our philosophy, whether it’s enhancing our processes, refining our product, or growing as individuals. Our dedication doesn’t end with hard work—we believe in celebrating our successes together. Whether it’s solving complex challenges, achieving milestones, or delivering value to our clients, we come together to recognize and enjoy the results of our efforts. Being part of VisioLab means being part of a team that values innovation, collaboration, and growth, all while working toward defining the future of self-checkout in the catering industry. Application Process 1. Introductory Interview: A short call to get to know each other., 2. Portfolio Review: We review your portfolio and may ask for a short coding challenge if needed., 3. Technical Interview: Dive deeper into your previous work with the team you’ll be working alongside., 4. Founder Interview: A conversation directly with the founders to discuss your fit and aspirations., 5. Welcome to VisioLab: Celebrate your hire and start your journey with us!

Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it. From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for. The Role This is a founding Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our ___. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises. About Valence We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a who's who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myer \n What You'll Do • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready., • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals., • Work with the product team to analyze user behavior and prioritize evolving requirements., • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience, • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements., • Documentation of models, prompts, and processes to increase replicability and drive quality improvements., • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI, • Support other coding and feature development where required What We're Looking For • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval, • Strong foundation in data structures, algorithms, and software engineering principles., • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM), • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services., • Strong analytical and problem-solving skills, • Experience structuring and running data-backed experiments, • Strong written and verbal communication skills, • Exposure to early-stage startups, preferably B2B SaaS What You'll Get • Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment., • Strong ties to the executive team, a culture of transparency and engagement with strategic decisions., • Options from day one, which means you will be on the ownership track right away., • Competitive salary and equity packages., • Comprehensive health coverage (medical, dental, and vision) from day 1., • Provision of anything you need to be successful - learning tools, hardware, office equipment, software., • 401k optionality for US based employees, • Generous PTO, company-wide R&R shutdowns and paid leave for parents., • A WFH stipend, phone stipend and support to work in a We Work or other space as preferred. \n Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at . #LI-HYBRID

The ___ of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Developer Platforms group is an essential part of The New York Times' engineering organization. They are responsible for building our Internal Developer Platform, used by over 60 teams and 450+ engineers in NYT Product Engineering. As a member of the DevEx Application Delivery team within Developer Platforms, this Senior DevOps Engineer will help enable engineering teams at the New York Times to ship code with high velocity and quality. You will report to the Engineering Manager of the DevEx Platforms team. This is a hybrid position, with the choice to work from home up to 3 days a week. * Help lead infrastructure and observability for Continuous Integration and Continuous Deployment platform, and establish ideal CI/CD workflows, ensuring engineering teams at the New York Times can ship code with high velocity and quality * Production support of our users, including weekly on-call rotations * 5+ years of software programming(language-agnostic, but we use Go) and scripting like bash * 3+ years of infrastructure provisioning and monitoring using Terraform and DataDog or Prometheus and with cloud services like AWS or GCP * 2+ years running and troubleshooting workloads on Kubernetes clusters (understanding of resources management and observability) * 3+ years working with CI/CD systems like Github Actions, Jenkins, and ArgoCD * Experience troubleshooting issues with users: You are motivated by helping others succeed * Experience in prompt engineering or building AI-powered internal tools #LI-Hybrid REQ-018643 The annual base pay range for this role is between: $140,000 - $155,000 USD The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available ___. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. For information about The New York Times' privacy practices for job applicants click ___. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through ___. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the ___ or your ___.

Role: ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

We're a team of technologists and legal experts collaborating closely to reimagine corporate legal services from the ground up. We build proprietary technology and human-in-the-loop workflows to enhance the lawyer-machine relationship radically. We want to review complex documents, for example, faster than ever, and with perfect quality. Crosby was founded by ___ (Penn, Stanford Law, ex-Cooley, former GC) and ___ (Penn M&T, ex-Ramp, ex-Google). * A great legal system is the watermark of a great society. * Legal work is an art and science. We want to discover the frontier between the two and codify the scientific parts, which is a magnificent puzzle. * Selling work, not software, is the best way to realize the productivity gains of GenAI for professional services. * In an in-person culture at our NYC office. * As the Lead Infrastructure Engineer at Crosby Legal, you will take end-to-end ownership of our cloud systems, developer platform, and security posture as we scale. You’ll work alongside our founding engineering team to build the foundation that powers Crosby’s legal-tech stack. * This role is perfect for someone who thrives on autonomy, systems thinking, and building reliable, secure infrastructure from the ground up. * Own and evolve our cloud infrastructure (AWS + Pulumi + GitHub Actions + Modal). * Build and maintain robust observability, tracing, and alerting systems. * Lead efforts around security and compliance (IAM, SOC 2 readiness, secure networking). * Define and enforce best practices for infrastructure reliability and performance. * Collaborate with software engineers to streamline CI/CD and deploy systems that scale. Set the long-term strategy for infrastructure as we grow the product and team. * 5+ years in DevOps, Site Reliability, or Platform Engineering roles. * Deep experience with modern cloud infrastructure (preferably AWS) and infrastructure-as-code tools (Pulumi, Terraform, etc.). * Proficiency with CI/CD pipelines and automation (GitHub Actions or similar). * Strong experience with observability tooling (e.g., Datadog, OpenTelemetry, Prometheus). * Understanding of security best practices in cloud environments. * You’re highly autonomous, thrive in high-ownership settings, and enjoy solving ambiguous problems. * Passion for building foundational systems in a fast-paced, high-stakes environment. * Competitive salary and equity compensation. * Comprehensive health, dental, and vision insurance. * Unlimited PTO * In-person team in NYC with a collaborative, high-energy environment. Apply now to join Crosby and be part of transforming the legal landscape. Note: Crosby is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Pursuant to New York Labor Law Section 194-b, US Pay Range is $160,000 - $220,000 which represents the base salary we reasonably expect to pay for this position at the time of this posting. Final compensation will be determined based on skills, experience, and qualifications.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. Red Ventures operates dozens of digital first businesses and partners with leading brands to deepen customer relationships. Our Data Engineering team sits at the center of these efforts, designing modern, trusted data platforms that power real time decision making, AI solutions, and dynamic marketing experiences. We are hiring a Senior Data Engineer within the RV’s Client Growth and Transformation team to elevate our lakehouse architecture, lead complex data product builds, and mentor a growing team. Within RVGT, you will play a pivotal role in driving client success by designing and implementing strategic initiatives that boost customer acquisition and retention. What you'll Do: • Design & evolve our cloud lakehouse - Own end-to-end architecture (AWS, Databricks) for both batch and streaming pipelines, balancing cost, performance, and governance., • Build high impact data products - Develop scalable, well tested data models that drive lifetime value, churn, and propensity insights powering RV sites and CRM activations., • Engineer reliable data pipelines - Implement Python/Spark jobs, Kafka/Spark Streaming flows, dbt transformations, and Airflow orchestration with CI/CD (GitHub Actions, Terraform)., • Champion data quality & observability - Embed Monte Carlo, Alation/Collibra policies, and unit/integration testing to keep our data trusted and audit-ready., • Enable analytics & AI - Partner with analysts, ML engineers, and GenAI teams to surface governed tables in Power BI/Tableau and to support LLM-driven agentic workflows., • Influence & mentor - Explain complex technical trade-offs to business stakeholders and guide mid-level engineers in best practices for distributed-systems design. What we're looking for: • Cloud & big data platforms - 5+ years designing and developing on AWS and Databricks data lake and lakehouse architectures, • Programming - Expert in SQL, Python/Scala, • Streaming - Hands on with Kafka and Spark Structured Streaming in production, • Data modeling & warehousing - Dimensional, data vault, and real time schemas; SQL performance tuning on data warehouses, including Snowflake and Databricks SQL, • Orchestration & DevOps - Airflow, dbt, GitHub Actions, Terraform; strong CI/CD experience, • Governance & compliance - Familiar with CCPA/SOC 2 controls; experience using Alation, Monte Carlo or Collibra, • Salesforce Data Cloud - Expert in designing, implementing and maintaining data solutions, • Data architecture - System design experience for batch and real time, • Domain experience - Prior work in consumer finance, banking or fintech, • Soft skills - Proven ability to translate technical concepts to non technical audiences; excellent written & verbal communication Preferred & bonus points: • Salesforce Data Cloud and Adobe AEP certification, • AI experience leveraging GenAI, LLM, agentic workflows, • Experience enabling marketing cloud activations or personalization use cases, • Knowledge of data mesh architecture and data as a product operating models What you’ll get from us: • Impact at scale - Your work powers decisions that touch 100 M+ consumers annually, • Modern stack - Databricks, Airflow, Kafka, dbt, Monte Carlo, Terraform - no legacy drag, • Growth & autonomy - Clear technical career paths and the freedom to innovate, • Inclusive culture - We win through diverse ideas and collaborative problem solving Compensation: Cash Compensation Range: $100,000-$180,000* *Note actual salary is based on geographic location, qualifications, and experience. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. • Health Insurance Coverage (medical, dental, and vision), • Life Insurance, • Short and Long-Term Disability Insurance, • Flexible Spending Accounts, • Paid Time Off, • Holiday Pay, • 401(k) with match, • Employee Assistance Program, • Paid Parental Bonding Benefit Program Who We Are: Founded in 2000, Red Ventures (RV) is home to a diverse portfolio of industry-leading brands and businesses, strategic partnerships and proprietary technology, including Bankrate, Lonely Planet, The Points Guy, BestColleges and more. Together, RV helps millions of people worldwide make life’s most important decisions, accelerates digital adaptation, and innovates the online consumer experience by improving every step of the consumer journey from first discovery of information, throughout the decision-making process, to transactions. Headquartered south of Charlotte, NC, Red Ventures employs thousands of people across the US and Puerto Rico, with international offices in the UK and Brazil. For more information, visit ___ and follow @RedVentures on social platforms. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: ___. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact . If you are based in California, we encourage you to read this important information for California residents linked___. Click here for more details regarding the employee privacy policy: ___ Questions about this Privacy Notice can be directed to ___. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

We are looking for an entrepreneurial and experienced product manager with deep AI expertise to help us reimagine the antiquated industrial labor market. Traba is using AI to modernize the global supply chain. Today, our labor platform connects manufacturing and distribution facilities throughout the USA with reliable hard workers. This creates more profitable and productive businesses, and career opportunities for workers. We’re proud to be backed by the world’s best investors: Founders Fund, Khosla Ventures, and General Catalyst. Our product isn’t an app; it’s the labor we match and deploy into warehouses and manufacturing facilities throughout the USA (and eventually, the world). In addition to collaborating with software engineers, you’ll also work closely with our field teams to design, build and ship practical solutions into industrial facilities. This role reports to our Head of Product who brings over 20 years of Series A-D experience from some of the world’s most iconic and successful tech companies. * Ultimate unicorn. You're as technical as an AI engineer, as practical as an operator, and as human-centered as a designer; you champion the user, the tech, and the business. * You understand the intricacies of building a marketplace, speaking fluently about dynamics, incentives, system architecture, network effects, etc. * First-principles thinking. You spend equal time thinking about "why," "how," and "what." * You have excellent judgment on product strategy, system design, AI capabilities and platform economics; also a keen eye for marketplace growth and balance. * Business problem solver and opportunity spotter. You have an uncanny ability to identify root causes of business challenges and spot emerging opportunities before others. * AI-first problem solver. Inventive and scrappy full-stack problem solver and builder. You can probably code, and you can certainly prototype it with AI. * Deeply collaborative. You work seamlessly across teams and functions, bridging the gap between sales, marketing, operations, product, engineering, finance, design, etc. * Intuitive, analytical, adaptable, and humble. You Will: * Architect and steward our product strategy, marketplace and AI vision * Solve complex problems holistically, balancing desirability, feasibility, and viability * Write detailed product requirements and technical specifications * Rapidly validate and prove-out concepts by prototyping with AI * Evolve our product portfolio with a deep understanding of our tech stack * Scale operations by defining and co-implementing smart, efficient technical solutions * Use data and AI to uncover hidden patterns and answer key product questions * Identify and shape new opportunities into product strategy and vision * Visualize and communicate complex ideas: from system diagrams to users flows and business models * Socialize your work across all levels and departments, synthesizing diverse feedback from multiple stakeholders You Have: * 5-10+ years of experience as a product manager * Deep, hands-on experience using conversational AI, and shipping AI products * A demonstrable track record of shipping business-defining products * Strong technical abilities, including with AI (ideally you can code) * Built and executed on product vision, strategies, roadmaps and features * Deep understanding of the software development process/cycle * Deep understanding of LLMs, ML, and conversational applications/interfaces * Evidence of shipping features and products that have moved the needle * Specific experience with marketplace is a big plus - e.g. liquidity, matching algorithms, pricing strategies, and trust & safety mechanisms * Desire to work at a startup and cover an exceptionally wide surface * A strong, ambitious work ethic and the drive to build a company * Eternally optimistic, endlessly curious, and a joy to work Benefits: * Start-up equity, true ownership mindset * Competitive Salary * 100% Paid health, dental & vision coverage * Order whatever you want on DoorDash for dinner every night * Benefits: Commuter, Gympass, One Medical, and more The compensation range for this position is set between $160,000 and $180,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems

Jun Group is a technology company building a world where consumers are in control of their data and advertisers can reach them directly. Intelligent advertising that inspires trust is our guiding principle. We’re passionate about making advertising better for everyone through our consent-based approach that empowers the world’s largest publishers, brands, and agencies to achieve their goals with integrity, transparency, and peace-of-mind. We are looking for a Machine Learning / Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States. Responsibilities include • Contribute to exciting greenfield projects, • Develop data pipelines supporting ML model development and applications, • Experiment with emerging technologies and contribute to designing new ML models and systems, • Collaborate with our server engineering team to improve our existing machine learning models and tooling, • Use Kanban to manage multiple releases per week, • Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person • You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks, • You want to be part of a small team inside a large company with massive opportunity for growth, • You enjoy collaboration with other teams including product, biz dev, and our in-house QA team, • You eagerly dig into complex engineering problems Preferred skills and experience • You have hands-on experience implementing production machine learning systems at scale in Python, • Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn, • Familiarity with ML tools like MLFlow, Ray Serving, • Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis, • Familiarity with AWS and Google Cloud big data products Some company benefits include • Competitive Pay, • Hybrid Work Life, • Health, Dental, and Vision Insurance, • Mental Health Resources, • Volunteer Opportunities Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week. Salary Range: $130,000 - $150,000, plus incentive pay We’re open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords. Communications regarding your application will only come from @___ or @___ email addresses.

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of ___ 3 years in a row! About You: A seasoned ML expert who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems – not incremental or marginal improvements – and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, you will: • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies, • Suggest and implement new features to improve model performance and business logic, • Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI, • Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries, • Build ML models for production use, write and review production-quality PRs daily, • Translate client business problems into ML problems, • Build scalable machine learning models for claim time series forecasting,NLP text understanding, and generative AI solutions, • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements & Skills: • You are an ML Engineer / Data Scientist with 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production, • You have deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation), data analysis & modeling, feel at home in Python/Pandas/Jupyter yet switch seamlessly to work in production environments & pipelines, and strive for scalable technical concepts and solutions., • You’re a team player who is solutions-oriented., • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences., • You have 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments., • You owned, deployed, and maintained model-serving pipelines in production, • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices., • Translate cutting-edge research into production-grade solutions. Turn the latest advancements in AI into scalable, high-impact systems that operate seamlessly in live customer environments, • Experience translating state-of-the-art research papers into production code, • Accustomed to collaborating with data labelers and SMEs, • Experience building production agentic systems Even Better if You Have the following: • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes, • Experience with advanced statistical modeling, especially probabilistic programming, • You’re up to date on the latest LLM / gen AI developments and have built LLM / agentic applications and iterated on user feedback., • Ambitious, collaborative, and empathetic values, • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: • Compensation: the compensation range for this role is 225-250K (with flexibility), as well as a meaningful equity plan offered, • Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%., • Home & Family: Flexible PTO, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn. We also have a flexible vacation policy., • Office Life: Ability to work hybrid. Catered lunches, happy hours, and pet-friendly office space., • Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally, • Sponsorship: We are open to sponsoring candidates currently in the US who need to transfer their active H1-B visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

About Us: Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We work with leading institutions across healthcare, life sciences, and research, supporting faster studies, sharper insights, and better care. Backed by Roivant (NASDAQ: ROIV), Savant is built for organizations that see structured data not just as an output, but as a foundation for innovation. The Opportunity: We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. This is a high-impact engineering role with full-stack exposure - from prototyping model workflows to deploying scalable inference systems. You’ll work closely with our product, clinical, and engineering teams to continuously improve model performance and delivery quality. If you’re excited to build real-world applications of LLMs, shape how AI gets deployed in healthcare, and operate with ownership in a fast-paced startup environment, we’d love to hear from you. Some things you might work on: • Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text, • Develop and optimize systems for information extraction, entity resolution, data normalization, and QA, • Build and scale infrastructure for running model inference across large datasets, • Prototype, evaluate, and refine prompt strategies, model configurations, and workflows, • Implement internal tools for monitoring, observability, and iterative model improvement, • Translate research prototypes into reliable, testable, and maintainable production code, • Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows What We're Looking For: • 3+ years of hands-on experience building and deploying ML/AI systems, • Strong Python development skills, including experience with production-quality ML codebases, • Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy), • Experience working with large-scale unstructured or semi-structured data, • Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability, • Comfort working in fast-paced, ambiguous environments where iteration is key, • Clear communicator with a collaborative mindset Bonus Points For: • Experience working with clinical or healthcare data (EMRs, registries, imaging, labs, etc.), • Familiarity with model evaluation tooling, quality benchmarking, and drift detection, • Exposure to data privacy or compliance frameworks (HIPAA, de-ID workflows, etc.), • Experience in an early-stage startup or small, fast-moving technical team Why Join Us • Full-Stack AI Impact: Contribute across the ML lifecycle, from data to deployment, • Product-Embedded Work: Your contributions will ship as part of a real product, not just R&D, • Tight Collaboration: Work directly with cross-functional partners across clinical, product, and engineering, • Mission-Driven: Help unlock better healthcare by solving foundational data problems Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year, with meaningful equity. The final salary offered may be outside this range based on individual circumstances and business and market conditions. Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses and Company-sponsored benefit programs. This position is at-will and Savant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions. Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Today thousands of leading brands and agencies use ___ to win the battle for attention with content that both humans and agents love. We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences. We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay. We're looking for a product-minded AI engineer to help us rapidly define and ship features that make all AirOps customers 10x content engineers. In this role, you'll drive the development of advanced AI systems, including our SEO Strategy Agent and Workflow Builder Copilot. You'll lead the creation of intelligent solutions that empower businesses to optimize their SEO strategy and streamline workflow creation with AI-powered assistance. Joining at a critical juncture, you'll collaborate closely with product management to shape our AI roadmap and technical architecture. * Develop and integrate LLM-powered features such as AI-assisted workflow automation, code generation, and content strategy. * Optimize AI performance through prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks. * Build and scale AI infrastructure, ensuring low-latency responses, caching, and cost-efficient model usage. * Implement AI observability and safeguards, monitoring quality, security, and compliance. * Collaborate with product and engineering teams to deliver intuitive, AI-driven user experiences. * Stay ahead of AI advancements, continuously improving our AI-powered capabilities. * Collaborate with early adopters to optimize model performance and usability. * 3+ years of experience in machine learning engineering, AI/LLM integration, or applied NLP * Proven track record of building LLM-powered applications * Strong experience with foundation models (GPT-4o, Claude, etc.) and advanced prompt engineering * Experience with embedding models (e.g., OpenAI Ada, Cohere, or local vector stores like pgvector, Weaviate, Pinecone) * Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimization * Familiarity with LangChain, or similar frameworks for orchestrating LLM-powered applications * Strong programming skills in Python (experience with AI frameworks like Hugging Face, LangChain, or OpenAI SDK) * Experience in evaluating LLM performance, running A/B tests, and implementing feedback loops for AI refinement * Solid understanding of caching, rate limiting, and cost optimization strategies for AI workloads * Ability to work cross-functionally with engineers, product managers, and end users to develop impactful AI solutions * Extreme Ownership * Quality * Curiosity and Play * Make Our Customers Heroes * Respectful Candor * Equity in a fast-growing startup * Competitive benefits package tailored to your location * Flexible time off policy * Generous parental leave * A fun-loving and (just a bit) nerdy team that loves to move fast!

Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. At Particle Health, our mission is to unlock the power of medical records in an intelligent platform that focuses healthcare back on the patient. We do that through connecting our customers to national and state medical record exchanges, which facilitates medical record sharing and interoperability. That also gives us access to arguably some of the best fully longitudinal data on millions of patients. Our energy is then spent organizing and processing that data, making that data useful in different settings. Powered by this data, we are building a data platform offering important clinical insights to our customers. Our customers are Healthcare AI companies building solutions, digital healthcare providers, payers, EHRs, and condition-specific platforms. At Particle Health, data is at the core of everything we do. As a Healthcare Data Architect / Senior Data Engineer, you’ll play a pivotal role in organizing and optimizing our data assets to meet the evolving needs of our customers and the healthcare landscape. With access to diverse datasets like EHR, prescription fills, and provider data, you’ll tackle some of the most complex and impactful challenges in healthcare data today. We’re specifically looking for senior-level professionals with hands-on experience working with healthcare data—especially EHR formats like CCDA, FHIR, and HL7v2. This role is about more than technical expertise—it’s about curiosity and collaboration. You’ll explore the depths of patient-level data to uncover opportunities and solve problems, asking critical questions that guide us toward delivering transformative insights. From identifying treatment adherence patterns to predicting gaps in care and developing risk scores, your work will have a direct impact on our customers' ability to improve patient outcomes. Your contributions will shape the foundational components of Particle’s data platform and analytics strategy, driving innovation and quality across our products. You’ll also work closely with cross-functional teams to ensure our data capabilities align with business goals, helping us achieve our mission of making healthcare smarter and more patient-focused. This is a hybrid role based in New York City. The team works in-office two days per week (Tuesdays and Thursdays), so applicants must be located within commuting distance and comfortable with in-person collaboration. As a Healthcare Data Architect / Sr Data Engineer your role will have three core focus areas: * Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform. * Monitor, troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product. * Work with Product and Engineering leadership to develop product features and analyses that enhance our understanding of the data and its applications. * Implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy, ensuring compliance with internal and external regulations and standards. * Help design and evolve Particle’s data infrastructure to reduce toil, improve operational efficiency, and reduce processing cost. * Lead the design and development of a robust data architecture that guides data modeling, ingestion, processing, and data quality enabling data product development at Particle Health. * Design and develop conceptual, logical, and physical data models ensuring they meet the needs of our platform and customers and account for the data domains, structures, relationships, quality, security, and data privacy of the product. * Help address gaps in our data, identifying solutions, and improving reliability to establish a competitive edge and firmly cementing our data quality as a key differentiator of our platform. * Work cross-functionally with Data Engineering, Data Science, Product, and Engineering teams to align on architectural needs and enable the development of new features and analyses. * Partner with leadership to translate business requirements into scalable data solutions that provide insight and impact. This is a senior-level, hybrid role based in NYC. Candidates must have prior experience working with healthcare datasets and be comfortable collaborating in person 2x/week. * Extensive experience and domain expertise with healthcare data (especially EHR - CCDA, FHIR and/or Claims data, ADTs), including clinical applications and/or risk stratification. * Advanced technical skills, especially with Python, SQL, and Spark—these are core to our data stack and day-to-day engineering work. * Proven proficiency in building and optimizing data-intensive systems and pipelines. * Deep curiosity and critical thinking to explore and break down complex data sets to isolate key outcomes. * Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders. * Analytical thinking and interest in using metrics to improve decision-making and influence behavior. * Comfort with ambiguity. * A lifelong learner who has the demonstrated ability to pick up new skills quickly. * 8+ years of experience in data engineering with a strong background in data architecture and data modeling. * 5+ years of experience in data architecture, data modeling, data governance, and data analytics, preferably for SaaS products or cloud-based applications. * 5+ years of experience with healthcare data & formats (e.g., CCDA, FHIR, HL7v2, Claims, ADTs, Tuva Schema, OMOP). * Strong knowledge and skills in data modeling tools and languages and in designing data models for SaaS products or cloud-based applications. * Deep expertise in Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect. * Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks. * Bonus if you’ve worked with healthcare analytics products or platforms, or contributed to clinical decision-making tools, risk models, or care gap identification. Why Particle Health? • Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes., • Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated., • Flexibility & Balance: Enjoy unlimited PTO and a hybrid work schedule, giving you a mix of energizing, in-person collaboration, and remote work time. We also provide free lunch on Tuesdays and Thursdays when our team is in office!, • Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success., • Comprehensive Benefits:, • ~ 95% employer-paid health benefits for you and generous coverage for your family., • Employer-funded 401(k) contribution to help you build a secure future., • Mental health benefits to support your well-being., • Invest in Your Future: Receive employee equity, ensuring you share in the company’s success., • Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most. At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together! Compensation Range: For this role, we’re targeting a salary range of $200,000–$222,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly. #LI-Hybrid At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company. For more info about Particle and our team, check out the resources & links included. For more info about Particle and our team, check out the resources & links included. Notice: Recruitment Scam Alert We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve: • Requests for personal or financial information, • Interviews conducted only via text or messaging apps, • Emails that don’t come from an @___ address, • Offers for jobs you didn’t apply for Please note: • We will never ask for money, gift cards, or personal financial details at any stage of our hiring process, • All legitimate communication will come from an official @___ email address, • Our hiring process always includes video interviews — never just text If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at ___. We’re here to help.

As an AI Engineer at Regard, you’ll play a key role in developing and deploying AI-powered features that enhance physician workflows and improve patient care. You’ll be instrumental in integrating large language models into our platform—building scalable, reliable systems that deliver real value in clinical settings. Working closely with product, design, and engineering teammates, you’ll help prototype, implement, and refine innovative features that push the boundaries of what’s possible in healthcare. Your primary focus will be on building and maintaining production-grade AI systems using best practices—leveraging tools like LangChain, vector databases, and retrieval-augmented generation techniques. You’ll bring hands-on experience in prompt engineering and LLM development, helping the team accelerate feature delivery and deepen our AI capabilities. In this role, you’ll also contribute to a culture of learning by sharing practical insights and collaborating closely with teammates. You’ll have the opportunity to grow your own expertise while helping the team move faster and build smarter, more reliable systems. About Regard Our mission is to bring world-class healthcare to everyone. Regard is the world’s first comprehensive, automated diagnosis tool. Regard streamlines clinical and revenue cycle efforts to dramatically improve hospital finances, patient safety, and physician happiness. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. • Lead the design and implementation of production-grade AI systems and tooling, • Architect and deploy AI systems using frameworks like LangChain, vector databases, RAG techniques and prompt management, tracing, and benchmarking tools, • Perform prompt engineering to optimize the output for LLM-based tasks, modify LLM system designs to add more functionality or improve the performance of our AI agents or tasks, • Mentor and level up engineering team members on AI agent development, system design, and production AI best practices, • Design architectures that improve end-user response times and reduce both algorithmic and AI-based latency and cost using appropriate prompting techniques, • Collaborate with product and design teams to rapidly prototype and iterate on AI-powered features while maintaining engineering quality standards, • Own end-to-end delivery of AI systems, from conception through production, deployment, and monitoring, • Navigate technical ambiguity and make architectural decisions that balance speed to market with system reliability and scalability, • BS in Computer Science or equivalent experience, • 4+ years of software engineering experience with demonstrated ability to build and ship products end-to-end, • 1.5+ years of hands-on applied AI experience, including extensive work with OpenAI or Anthropic LLMs in production settings, • Demonstrated proficiency in Python, • Proven experience building AI agents with expertise in prompt engineering, LLM pipelines, and optimization of latency, cost, and quality, • Experience with retrieval-augmented generation, context window optimization, chunking, semantic search, vector databases, and other technologies used in conjunction with LLMs, • Strong mentoring and teaching abilities to level up team members on AI system design and implementation, • Exposure to startup and/or high growth environments, • Background in ML techniques, including fine-tuning of models/LLMs and building evaluation and training datasets, • Experience in healthcare technology or other highly regulated industries, • Experience working with health technology, • Experience with machine learning systems, including building evaluation, training, and inference pipelines, and deploying custom-built ML models, • For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, • We expect our Engineers to be in the office on Tuesdays and Thursdays. We may request more frequent in-office work during the onboarding period, • We will provide relocation assistance to anyone who does not already reside in the NYC metro area, • For those who enjoy working from our Manhattan office on a more regular basis, we offer catered lunches and other fun perks, • Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year, • Eligible for equity, • 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription, • 18 PTO days/yr + 1 week holiday break, • Annual $750 learning & development stipend, • Company-sponsored team retreat + social events

We at ___ have built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're onto something. You can try adding 903-320-4371 to group texts to kick its tires! We've seen extremely rapid growth over the last month, and are looking for someone who can help us improve the quality of our user experience and scale to the next level. You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP) and LLMs. Or a software engineer who excels at the frontend or backend (or both). Or maybe you're a product manager who loves to help engineering teams build. Whatever you're best at, we'd love to meet you! ___ of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! Our team is currently based in Seattle, WA and New York, NY. Our opportunities are mostly on-site at our offices, 3 days per week. To be considered for a future opening, please submit your application at the link below. We welcome referrals! If you know someone exceptional, please email us at ___ We welcome referrals! If you know someone exceptional, please email us at