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Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! We are looking for a Senior AI Solutions Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey This position is based in New York, NY, and open to candidates in Boston, MA, and the Washington, D.C. area. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit______ to learn more.

Founded in 2022, ___ is revolutionizing development in America by streamlining the collaboration between developers, builders, and local regulatory authorities. GreenLite’s software powers its Private Plan Review offering, serving many of the nation’s largest public retailers, developers, and production home builders. By leveraging GreenLite’s technology, its customers save months on each project, significantly accelerating their timelines and staying within budget. GreenLite is founded by experts in technology, development, and within the AEC (Architecture, Engineering, and Construction) industry, and backed by leading venture capital firms. GreenLite is at the forefront of the privatization of construction permitting and plan review, reshaping a multi-hundred billion dollar industry. GreenLite has raised nearly $40M from the country’s leading venture capital investors, including Craft Ventures, who led GreenLite’s $28.5M Series A. We’re well capitalized to achieve our mission of revolutionizing the plan review and construction permitting process across the country. We're on a mission to automate one of the most costly and expertise-dependent bottlenecks in the built environment — construction plan review. Today, plan review is slow, expensive, and highly manual, requiring licensed experts to navigate thousands of unique jurisdictional construction codes and complex architectural documents. We believe AI can help. As a key hire in our AI engineering organization, you’ll operate with a founder mindset, help in defining our long‑term data strategy, and align multiple squads behind it. Our product roadmap includes computer‑vision and large‑language‑model (LLM) capabilities; but those future models will only be as good as the thought that goes into designing them. As an ML engineer you will design, build, and own the way that happens and directly influence company OKRs. * Work with a rich proprietary dataset encompassing: * Access to building codes across every jurisdiction * Expert-generated comments on building plans * In-house architects and code experts shaping the problem and validating results * Own the decision making with data engineering on the tech stack we use for MLOps. * Alongside data engineering, optimize scalable data processing pipelines on our platform and maintain ML infrastructure. * Model Development: Design, develop, deploy and monitor innovative ML solutions that drive efficiency for our customers * End-to-end Workflow Orchestration: Design and maintain complex workflows that automate the path from feature store to inference. * Design and construct greenfield pipelines that automate pre-training and fine-tuning domain-specific LLM/CV models. * Define and shape RLHF and retrieval pipelines to inject code-compliance knowledge. * Evaluations and Experimentation: Experiment, evaluate and implement novel research ideas for proprietary LLMs/CVMs * Have a graduate degree in Computer Science, Data Science or ML related field or equivalent industry experience * Have 2+ years of experience shipping ML systems (not just research) * Have experience shipping AI models into production (bonus: experience with AI Agents / LLM orchestration and ML Ops) * Can efficiently translate open-ended problems into actionable solutions * Familiarity implementing novel NLP / CVM research ideas and techniques. Prior publications in top conference journals or other evidence of staying current (e.g. open source contributions, conference talks) is a plus. * Excitement to encode dense regulations & messy CAD & PDF data into structured, learnable signals. * Prior experience in a startup environment is a plus. * Excitement for building AI systems that go beyond benchmarks into the real-world messiness of imperfect data * Thrive in “debate, decide, deliver” cultures—turning ambiguous product goals into concrete, maintainable systems. 90 days: LLM/CV model trained on a reproducible pipeline and a clear ML roadmap signed off by product & domain experts. 6 months: Alpha model running in shadow via a fully automated MLOps pipeline, showing > 20 % quality lift on real plans. 12 months: Model live in customer beta, cutting manual review time ≥ 25 % with auto‑retraining and monitoring that scales to new hires. Why Join Us? * Shape the data platform and labeling strategy that future hires will depend on. * Be an early technical leader on a high-impact AI product and trailblaze the first AI model for the building compliance industry. * Work directly with architects, engineers, and domain experts who shape the system * Contribute to making the built world more efficient, sustainable, and safe * Solve one of the most under-explored AI problems in the real world (with a huge market size) * Own It: You act like the CEO of our data layer—no broken pipelines on your watch. * Solve Real Problems: Every schema, pipeline, and quality check exists to deliver ML‑ready data that shortens training cycles and lifts model performance—turning raw construction files into fuel for CV & LLM models. * Full Send: You move with urgency, never at the expense of data integrity. * Be Real: Radical candor about trade‑offs and technical debt keeps the team honest. If you’re ready to turn raw architectural drawings into the data engine that powers the first AI plan‑reviewer, we’d love to meet you. * Competitive salary * New hire stock equity packages * Annual bonuses based on performance and delivering results * Medical, dental, and vision insurance plans * 401(k) savings plan * Employee wellness program * Home productivity stipend * Team building events * Unlimited PTO policy GreenLite values people from all walks of life and professional backgrounds. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about the construction industry or solving the housing crisis in America, and want the opportunity to grow in your career, we encourage you to apply. GreenLite is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

Tiger Analytics is looking for an experienced AI Solution Engineer with Lean Six Sigma Black Belt certification to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With our deep expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a AI Solution Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics. The ideal candidate will possess deep knowledge of process improvement methodologies, exceptional analytical skills, and the ability to collaborate across cross-functional teams. Key Responsibilities • Analyze organizational processes and systems using task mining and process mining tools, • Develop and implement data-driven process improvement recommendations, • Collaborate with cross-functional teams to design and implement optimized workflows, • Identify automation and AI-driven opportunities to streamline operations, • Lead workshops and discovery sessions with stakeholders, • Create detailed documentation of current and future-state processes, • Support change management and ensure sustainability of improvements, • Deliver measurable outcomes in efficiency, cost savings, and performance, • Bachelor's degree in Industrial Engineering or a related field, • Lean Six Sigma Black Belt certification (mandatory), • 5+ years of experience in process improvement or industrial engineering roles, • Experience with process mining tools (e.g., Celonis, UiPath Process Mining, Minit), • Strong analytical, problem-solving, and facilitation skills, • Familiarity with task automation or AI/ML-driven solution design is a plus

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.

TRS is seeking a driven, analytical, and technically capable Entry-Level Data Scientist to support our growing portfolio of artificial intelligence, automation, and data-driven initiatives.This role is ideal for someone passionate about applying data science and machine learning to drive practical,

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

Qdrant is a leading open-source vector search engine designed for applications powered by embeddings and generative AI. We help developers and enterprises unlock the full potential of semantic search, recommendation systems, and real-time machine learning applications. We are growing fast and looking for passionate, curious, and driven team members who want to help shape the future of AI infrastructure. We’re looking for a skilled AI Engineer who thrives at the intersection of deep technical development and community collaboration. You’ll play a dual role — driving innovation in AI-driven search and vector database technologies, while also engaging directly with our customers, developer community, and broader AI ecosystem. This is a unique opportunity to combine engineering excellence with external advocacy, helping users succeed while influencing the direction of our product and community. Engineering • Design, develop, and optimize AI/ML features in Qdrant’s core engine and SDKs., • Prototype and implement integrations with popular ML frameworks (e.g., Hugging Face, OpenAI, LangChain)., • Analyze performance, identify bottlenecks, and implement scalable solutions in real-world AI pipelines., • Support developers and users via GitHub, Discord, and other community channels., • Communicate complex technical concepts clearly in customer calls, demos, and onboarding sessions., • Represent Qdrant at conferences, meetups, and webinars — both as a speaker and technical expert., • Create educational content such as blog posts, tutorials, sample projects, and documentation., • Collect feedback and insights from the community to inform product development., • Strong proficiency in Python., • Solid understanding of machine learning concepts, embeddings, and vector search., • Experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, Hugging Face)., • Excellent communication skills; ability to explain technical topics to diverse audiences., • Prior experience contributing to open-source projects or engaging with developer communities., • Contributions to AI infrastructure, vector databases, or search systems., • Experience building ML-powered products in production., • Knowledge of large language models (LLMs) and retrieval-augmented generation (RAG)., • Public speaking or published technical content (talks, blog posts, tutorials)., • Familiarity with the Qdrant ecosystem or similar technologies., • Competitive compensation and equity options., • Flexible remote work environment., • Opportunity to shape the future of AI infrastructure and open-source tooling., • A passionate, transparent, and supportive team.

Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry. We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack—from data pipelines and model training to inference infrastructure and product integration. This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales. What We’re Looking For Must-Haves • 5–10 years of experience in software or ML engineering, • Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.), • Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering, • Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment Nice-to-Haves • Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems, • Understanding of retrieval systems, embeddings, or vector search, • Experience in luxury, hospitality, or marketplace products, • Familiarity with feature stores, and observability tools, • Startup mindset: high agency, comfort with ambiguity, bias to ship Tech Stack Snapshot • Languages: Python, TypeScript, PHP, • Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain, • Data: dbt, PostgreSQL, Redis, Airflow, Metabase, • Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions Compensation & Benefits: • Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees, • Flexible PTO, • Medical, dental, and vision insurance, • FSA, • Commuter benefits, • Free membership to One Medical, • Teladoc, • Talkspace, • Kindbody, • 401(k), • In-office lunch 3 days a week, • Employee Dining Credits Compensation commensurate with experience. Compensation: New York Pay Range$100,000—$200,000 USD Our Core Values Lead with hospitality. We respect the craft and precision that are intrinsic to the hospitality industry. We are a team diverse in background and thought, built to be the connective tissue between artists, chefs, diners, and members. Mise en place. We are persistent in preparation, prioritization, and focus to anticipate our customers’ needs to create a powerful platform rooted in simplicity and elegance. And we know that details matter, which is why superior design is crucial to our brand ethos. Thoughtful design is baked into everything we do—our product, brand, creative, culture, and beyond. Go around the table—then commit. We know creativity takes feedback and iteration, and differing opinions can lead to healthy debate. While we encourage all voices to speak up and be heard, we are geared toward action and unify around the decision once it's made. Sometimes an individual idea or project may not be what’s best for the company, so don’t be afraid to kill your darlings. Our product is our signature dish. We are a product and marketing-led organization. Protecting our brand and vision needs to be top-of-mind with every move we make. Optimize turn times. We are creating beautifully-designed, tech-forward solutions to automate all sides of our business: for members, restaurants, and employees. And we’re laying a data-rich foundation to enable all stakeholders to make better decisions and enjoy the finer things in life. Savor it. We eat slowly and celebrate the wins we share with those around the table. We’re in this for the long-haul, so enjoy the ride. Stay hungry. We can change the world or someone else will. We believe in a sense of urgency to keep pushing toward our goals. And there’s always room for dessert, because there’s always more to do.

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 which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. \n What You'll Do • Design, build, evaluate, and ship ML solutions in Spotify’s personalization products, • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways, • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active usersPromote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Be part of an active group of machine learning practitioners Who You Are • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment, • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications, • Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala, • Experience with Pytorch and/or TensorFlow is a strong plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams, • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS Where You'll Be • 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. \n 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. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

About Fundwell: Fundwell is a modern business financing platform redefining how small and medium-sized businesses access capital. We deliver fast, trusted funding solutions through a combination of cutting-edge technology and personalized service. We are on a mission to help businesses thrive by simplifying and accelerating the financing process. Role Overview: We’re seeking a talented AI/ML Engineer to join our growing technology team. In this role, you will design, develop, and deploy AI and machine learning models that power our automated underwriting engine. Your work will directly impact how we evaluate risk, assess creditworthiness, and provide faster funding decisions to our customers. Key Responsibilities: • Develop, train, test, and deploy machine learning models to automate and optimize the underwriting process., • Analyze large financial and business datasets to extract meaningful insights and improve model performance., • Work closely with our engineering and data teams to integrate models into production systems., • Continuously monitor, maintain, and refine models to ensure accuracy, fairness, and compliance., • Research and apply advanced techniques in natural language processing, computer vision, or other relevant areas to enhance our underwriting capabilities., • Communicate findings and recommendations to cross-functional stakeholders in a clear and actionable way. What We’re Looking For: • Strong experience building and deploying machine learning models in production environments., • Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch., • Solid understanding of statistical modeling, feature engineering, and model evaluation techniques., • Experience working with large datasets; familiarity with Salesforce objects and cloud data platforms such as BigQuery is a plus., • Knowledge of financial services, credit risk modeling, or lending is a strong advantage., • Collaborative mindset and excellent communication skills. Why Join Fundwell: • Work on meaningful problems that help real businesses grow., • Be part of a supportive, innovative team that values curiosity and impact., • Competitive compensation, benefits, and opportunities for growth in a fast-scaling fintech company.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We're looking for a consulting professional, preferably at a managerial level, with excellent storytelling experience. This person will collaborate with senior leadership and the offshore team and has to have some background in the Insurance industry. The candidate has to have exposure to and understand the insurance business as he/she will be working to empower the existing insurance products of the client. Responsibilities • Proficient in writing complex SQL queries to extract, transform, and analyze data using platforms such as SQL Server and Snowflake., • Develop and maintain analytical queries to answer business questions and generate actionable insights., • Validate data pipelines and ETL processes to proactively identify and resolve data quality issues., • Solid understanding of data pipelines and ETL processes., • 5-10 years in data analysis and profiling with a graduate degree in Business Analytics, MBA, or a related field., • Robust, hands-on experience with SQL and Snowflake., • Must have P&C Insurance experience., • Must have strong communication skills, • Convert business requirements into smaller workstreams for the data engineers and other analysts on the team, • Use data to drive actionable insights and calculate the impact of various launched features. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

permanent Position: Data Scientist Company Overview: Florvets Structures is a leading construction company specializing in the design and construction of innovative and sustainable structures. We are committed to delivering high-quality projects that exceed our clients' expectations and contribute to the betterment of communities. Job Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. As a Data Scientist at Florvets Structures, you will be responsible for analyzing complex data sets to identify patterns, trends, and insights that will inform our business decisions. You will work closely with our project managers, engineers, and other team members to develop data-driven solutions that will improve our processes and drive business growth. Key Responsibilities: • Collect, organize, and analyze large and complex data sets from various sources, • Develop and implement data models and algorithms to extract insights and create predictive models, • Identify patterns and trends in data and communicate findings to relevant stakeholders, • Collaborate with project managers and engineers to develop data-driven solutions that improve project efficiency and quality, • Develop and maintain data dashboards and reports for tracking project performance and identifying areas for improvement, • Stay up-to-date with industry trends and advancements in data science and bring new ideas and techniques to the team, • Ensure data integrity and security by following best practices and implementing necessary protocols, • Present findings and recommendations to senior management and other stakeholders in a clear and concise manner Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field, • Minimum of 3 years of experience as a Data Scientist or in a similar role, • Strong proficiency in data analysis and statistical modeling, • Proficiency in programming languages such as Python, R, and SQL, • Experience with data visualization tools such as Tableau or Power BI, • Knowledge of machine learning techniques and algorithms, • Excellent communication and presentation skills, • Strong problem-solving and critical thinking abilities, • Ability to work independently and in a team environment, • Experience in the construction industry is a plus Why Join Florvets Structures: • Opportunity to work on innovative and sustainable projects, • Collaborative and supportive work environment, • Competitive salary and benefits package, • Career growth and development opportunities, • Make a positive impact on communities through your work If you are a highly motivated and skilled Data Scientist looking to join a dynamic and growing company, we encourage you to apply for this exciting opportunity at Florvets Structures. We look forward to hearing from you! Health Insurance Workers Compensation

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position We are looking for a Senior Software Engineer, Applied AI to join our dynamic team at Formation Bio. As we continue to revolutionize the drug development process, this role will center on the design, development, and deployment of advanced machine learning models, including those powered by large language models (LLMs) for classification, recommendation, and risk assessment. In this role, you’ll apply cutting-edge machine learning techniques to real-world challenges in drug development, directly influencing decision-making and identifying new treatment opportunities. You will collaborate closely with data scientists, product managers, and domain experts in the pharmaceutical industry to develop reliable and scalable ML systems that drive strategic business decisions and improve clinical outcomes. If you are passionate about solving complex problems with AI and eager to make a tangible impact on patient outcomes, we’d love to meet you. Responsibilities • Lead the design, development, and deployment of machine learning models for classification, recommendation, and risk assessment to enhance decision-making in drug development., • Build and optimize predictive models, including classification, regression, time-series, and ranking algorithms, with a focus on robust deployment in production environments., • Collaborate with cross-functional teams — including data scientists, engineers, and drug development stakeholders to design and deliver high-impact ML solutions., • Work with large-scale proprietary datasets (e.g., SPOKE, Evaluate data, KOL transcripts), ensuring performance benchmarks are met within cloud-based infrastructure (AWS, GCP, Azure)., • Rapidly prototype and iterate on machine learning solutions, including proofs-of-concept, to explore innovative approaches and evaluate business impact., • Integrate structured knowledge into ML pipelines using ontologies and document store architectures, enhancing model context and data retrieval., • Design and build AI-driven listener agents that continuously ingest new information and trigger reanalysis of drug candidates using updated predictive models., • Stay current with emerging trends in machine learning and generative AI, applying them to continuously evolve our modeling and decision-making capabilities. About You • Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience., • 6+ years of experience in software development and applied ML, with a focus on building predictive models, ranking systems, and risk assessment pipelines., • Proven track record of designing, deploying, and maintaining ML and LLM models in production environments, including experience with versioning, scaling, and monitoring., • Demonstrated ability to drive measurable business impact with ML and LLM solutions — from defining success metrics to iterating based on real-world feedback., • Strong foundation in supervised, unsupervised, and reinforcement learning, as well as LLM techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning., • Proficient in Python, with deep experience in libraries such as TensorFlow, PyTorch etc, • Experience working with large-scale data pipelines and deploying ML models in cloud environments (AWS, GCP, or Azure)., • Familiarity with model evaluation techniques, including cross-validation, A/B testing, and confidence-based ranking., • Experience building multi-agent AI systems, including listener/orchestrator agents for dynamic data ingestion and decision-making., • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders and align teams around complex solutions., • Experience in the pharmaceutical or biotech industry is a plus, but not required., • A passion for applied AI, with a deep curiosity about how ML and LLMs can transform real-world systems and outcomes. What You'll Do • Engineer the Future: Lead the creation and deployment of ML and LLM systems that support smarter, faster drug development decisions., • Collaborate to Innovate: Partner with cross-functional teams to build user-focused tools and models that drive real-world impact., • Own the Challenge: Ensure ML systems are scalable, secure, and reliable designed to thrive in a data-intensive, cloud-first environment., • Prototype Fearlessly: Develop and iterate on proof-of-concept models to test bold ideas and unlock new opportunities., • Stay Ahead: Continuously apply the latest advances in AI and machine learning to evolve our product capabilities., • Champion Change: Advocate for AI-driven transformation across the organization, helping teams adopt ML and LLM solutions with confidence. Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation: The target salary range for this role is: $180,000 - $230,000. Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you. You 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. #LI-hybrid

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on ___ and ___, and discover the projects we’re solving on our ___. Be sure to explore our ___ to learn how to ace our interview process. The Community Discovery Machine Learning (CDML) team powers the systems that help millions of active viewers find the creators and communities they'll enjoy most. Powering the home page recommendations, browse, search, and feed ranking experiences, this team and its algorithms are at the heart of enabling the connections that make Twitch a great place for so many users. Data is critical to the algorithms that power the recommendation, search, and ranking systems. It's also critical to making decisions, especially working on systems that are themselves data-driven. As a Senior Data Scientist on the CDML team, you'll be responsible for helping drive improvements to the machine learning systems as well as analytics to drive decision-making. While there is a team of Applied Scientists building and shipping the algorithms themselves, data science can help improve these systems directly. In this role, you can identify and build new signals to input into the models. We're also working on the value model that the algorithm optimizes, and your input will be critical to understanding the tradeoffs and balancing multiple objectives in a scientific way. We also still have big unanswered analytics questions to solve. How often do viewers just want to get to the content they already know they want to watch, and when are they open to exploring new channels? These are the sorts of questions you'll be tackling. You can work in San Francisco, CA; New York, NY; or Seattle, WA. • Inform product strategies by defining and updating core metrics for each initiative, • Estimate the opportunity sizing of new features the team could take on, • Identify and build new signals to incorporate into the algorithms driving recommendations, search, and feed ranking at Twitch, • Identify metric tradeoff ratios that help inform value model choices, long-term impact from early-growth-funnel users, and other product decisions, • Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders, • Design A/B experiments to drive product direction with iterative innovation and measurement, • Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle, • Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertainty, • BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience, • 5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment, • 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience, • Expert SQL skills and proficiency in Python/R, • Experience using data to create insight, drive business decisions and influence leadership, • MS/MA or higher in Analytics, Data Science, Computer Science, Mathematics, or a related technical field, • Experience working on algorithms powering large-scale consumer services, • Experience in a data science team working on customer software products, analytics, and insights, • Experience working with software development and operational event data, • Familiarity with Twitch, either as a viewer or creator (or both!), • Medical, Dental, Vision & Disability Insurance, • 401(k), • Maternity & Parental Leave, • Flexible PTO, • Amazon Employee Discount We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Twitch values your privacy. Please consult our ___, for information about how we collect, use, and disclose personal information of our candidates. Job ID: TW8683 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit ___. Applicants should apply via our internal or external career site. US Pay Per Year$153,300—$247,400 USD

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts 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 which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage. Join us and you’ll keep millions of users listening to great recommendations every day! • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches, • Partner closely with teams to translate their needs into foundational systems that enable each step of the core content lifecycle., • Mentor engineers and influence technical strategy by setting high standards in methodology, reproducibility, and collaboration., • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact, • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus, • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so, • 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, • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges, • You’re passionate about the opportunity to enrich the listening experience for users around the world, • You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences., • You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward., • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • 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, • Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration., • Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering, • 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

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts 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 which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. Join us and you’ll keep millions of users listening to great recommendations every day. \n What You'll Do • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approaches Who You Are • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact, • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus, • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so, • 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, • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges, • You’re passionate about the opportunity to enrich the listening experience for users around the world Where You'll Be • 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, • This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $215,136- $307,337 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. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? About The Role As a senior data scientist on the Risk and Data Science team, you will be responsible for data science projects in the risk domain. You will be directly developing machine learning models with the goal of maximizing customer LTV (Lifetime Value). What You’ll Do • Develop and implement cutting-edge risk management models, leveraging advanced statistical and machine learning techniques to effectively manage fraud/ credit financial loss on both consumers and partners sides., • Work on the ed-to-end life cycle data science projects, from data collection and preprocessing to model development and deployment., • Design and build model monitoring system and model governance., • Collaborate cross-functionally with key stakeholders to understand business objectives and translate them into actionable data science strategies., • Collaborate with engineers, compliance and product to deploy models., • Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes., • Experience in both the credit and fraud domain is a plus. Key Qualifications • 5+ years of relevant data science experience is required., • Proficiency in Python, SQL, or another analytical tool is a must., • Experience in developing risk models and consumer behavior models., • Proficiency in statistical analysis, machine learning, and data visualization tools., • Experience collaborating with cross-functional teams and effectively communicating data-driven recommendations to non-technical stakeholders., • In-depth knowledge of model governance principles and practices., • Advanced degree in a quantitative field such as statistics, mathematics, or computer science. This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside the NY/NJ area, you may be eligible for our relocation assistance program. The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks. For working locations in NY/NJ/CA, the base salary pay range will be $161,000-175,000 Life at Flex: We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace. We offer many employee benefits. For full time, U.S. based employees we offer: • Competitive pay, • 100% company-paid medical, dental, and vision, • 401(k) + company equity, • Unlimited paid time off + 13 company paid holidays, • Parental leave, • Flex Cares Program: Non-profit company match + pet adoption coverage, • Free Flex subscription For full time non-US employees, we offer • Competitive Pay, • Company Equity, • Unlimited PTO

Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry. • Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets., • Preprocess and clean large-scale real-world data to ensure data quality and integrity., • Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data., • Develop predictive models to forecast outcomes and trends based on real-world evidence., • Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders., • Stay up-to-date with the latest research and advancements in data science and real-world evidence., • Implement data visualization techniques to effectively communicate analysis results., • Lead the development of data-driven products and solutions for the healthcare industry., • Mentor and provide guidance to junior data scientists., • Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred., • Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence (RWE) and the healthcare industry., • Proven track record of successfully leading and implementing data science projects., • Strong knowledge of data mining, statistical modeling, and machine learning algorithms., • Proficiency in programming languages such as Python or R for data manipulation and analysis., • Experience with data visualization tools, such as Tableau or Power BI., • Solid understanding of database systems and SQL for data querying and manipulation., • Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets., • Strong communication and collaboration skills, with the ability to work effectively in a team environment., • Experience with healthcare data and familiarity with healthcare data standards is highly desirable., • Understanding of regulatory requirements and ethics related to data analysis in healthcare.

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. We are seeking an experienced Data Scientist to join our team in developing and implementing advanced analytics solutions and recommendation systems. This role will focus on creating forecasting and classification models to drive business decisions, particularly in the domains of sales optimization and customer retention. As a Data Scientist on our team, you will be responsible for developing and maintaining a diverse portfolio of machine learning models, including classification, forecasting, and regression systems for critical business applications. A key focus of this role will be creating and implementing propensity models to help optimize our conversion funnels. You'll also build predictive models for attrition analysis and lifetime value estimation. The role involves extensive data exploration and analysis to support various business initiatives, working in close collaboration with our Sales, Marketing and Operations teams to understand and meet their requirements. You'll focus on automating and productionizing machine learning pipelines to ensure scalable solutions while also designing and executing experiments to measure them. Your expertise will be instrumental in driving data-driven decision-making processes across the organization. You will also be heavily involved in building content recommender systems, generative AI applications, A/B testing, natural language processing, data product development, and data platform development. Experience with developing and deploying data pipelines, software development, writing unit tests, git, CI/CD, and DAG tools will be valuable skills towards these initiatives. You will work closely with fellow data scientists, analysts, data engineers, and product managers on the broader tech team. This role reports to the Head of Data Science. • A degree in a computational field (Ph.D. preferred), • 3+ years of experience in Data Science, ML Engineering or related field, • Expertise in building models to aid business forecasting and decisions (e.g., lifetime value, churn, seasonality, likelihood to convert, utilization, pricing), • Expertise with optimization algorithms and problem formulation, • Expertise in measuring predictions via A/B tests and other experiments, • Exceptional Python experience as well as common libraries for data exploration, data cleaning, machine learning and statistical analyses, • Advanced SQL, • Databricks, • Recommender systems, • Natural Language Processing, • Cloud infrastructure (we work on AWS and deploy infrastructure using Terraform. Common services we user are Athena, Redshift, Lambda, Dynamo, S3, API Gateway, CloudWatch, Bedrock, Amazon Personalize), • Event-driven and batch data pipeline architectures, • Workflow orchestration tools (we use Prefect and Rundeck), • Version control (we use GitHub), • CI/CD build and deployment tools (we use Travis and Jenkins), • Writing unit tests, • Proven track record in developing and deploying machine learning models and predictive software applications AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • 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 ___ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

About EliseAI EliseAI develops cutting-edge conversational AI technology for industries fundamental to our lives: housing and healthcare. Everything is built on the foundation of health and home. Broken systems or ineffective processes in these domains have a disproportionate impact on our quality of life and society’s overall wellbeing. Conversely, any solution or technology that solves problems in these areas will have an impact that ripples far beyond them. That’s the only kind of impact we are interested in having at EliseAI. If you get excited by the thought of working really hard on these kinds of problems, then EliseAI is the right place for you. About The Role As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You’ll work closely with cross-functional teams, including product, operations, and analytics, to build out the data infrastructure that powers our decision-making processes. Your work will directly impact how we develop products, optimize our operations, and deliver value to our customers. Key Responsibilities We are seeking a skilled and experienced Senior Data Engineer to join our team. The ideal candidate will completely own our data pipeline, playing a crucial role in designing, implementing, and maintaining our data infrastructure and ETL pipelines. In addition, in this role, you’ll lead the engineering team in making sure all code processes produce meaningful data that is stored in a performant manner. This data process is integral in powering client facing reporting as well as informing internal decisions and strategy. Core Objectives * The role involves building and maintaining high-quality data solutions and large-scale data pipelines that process vast amounts of data * Optimize data flow and collection for cross-functional teams * Design core data objects and models for the entire company * Implement and maintain data quality checks and monitoring systems * Develop client-facing reporting solutions * Additionally, the position supports data-driven decision-making through the creation of metrics datasets and dashboards * Engineers will collaborate across teams to optimize and improve data quality while delivering user-centric experiences Requirements Technical skills * 4+ years of professional experience in data engineering * Programming proficiency in python * Experience with PostgreSQL or other relational databases * Proven experience in data modeling and database design * Experience with ETL design, implementation, and maintenance * Knowledge of data warehousing solutions, particularly Snowflake * Understanding of development workflows and best practices Professional skills * Strong problem-solving skills and attention to detail * Strong communication and collaboration skills * Ability to work independently and as part of a team * Excellent organizational and time management skills * Adaptability to learn and work with new technologies * Passion for maintaining high data quality standards Preferred Qualifications * Experience with data quality management and monitoring tools * Familiarity with AWS services * Familiarity with data visualization techniques and tools * Knowledge of machine learning pipelines and tools * Experience with real-time data streaming platforms * Familiarity with DBT, Airflow Mindset * Entrepreneurial and ambitious; gritty, ‘roll-up-your sleeves’ attitude * Hardworking * Action-orientated with the ability to influence others * Self-starter mentality, yet a team player with a collaborative approach * Ego-free * Direct and clear communicator * Willingness to work in person at our office 4-5 days a week Why join Growth and impact. It’s not often that you can get in on the ground floor of a funded (___) startup that’s scaling. That means that instead of following a playbook, you’ll be writing it. You’ll be learning by constantly shipping products, measuring their impact and refining through data. You’ll work with other talented Data Analysts to help hone and grow your analytical skills. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you. Benefits In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits: * Equity in the company in the form of stock options * Medical, Dental and Vision premiums covered at 100% * Fully paid parental leave * Commuter benefits * 401k benefits * Monthly fitness stipend * A collaborative in-office environment with an open floor plan, fully stocked kitchen, and company-paid lunch. * Fun company social events through our Elise and the City program * Unlimited vacation and paid holidays * We'll cover relocation packages and make the move exciting, not painful! Job Compensation Range The salary range for this role is $240,000 - $300,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI 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. Please note that employment with EliseAI is on an "at-will" basis, which means that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at ___ If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at

___ empowers hospitals with an advanced care delivery operations platform, leveraging intelligent data analysis, predictive insights, and AI-driven recommendations. By holistically assessing operational factors, we help healthcare organizations: Optimize resource allocation Adapt to fluctuations in patient flow and demand Enhance operational efficiency Improve care coordination and delivery Our recent growth highlights: Team expansion from 70 to 130 professionals Quadrupled Annual Recurring Revenue (ARR) Strong capital efficiency, backed by a $___ investment from Goldman Sachs Now targeting $100M+ ARR, we’re seeking a skilled Data Scientist to help drive our next phase of growth. \n In this role, you’ll: • Model RSSI-BLE signals to enable digital asset tracking and contact tracing solutions., • Analyze real-time sensor data (e.g., time series, histograms) using statistical and deep learning methods to extract actionable insights., • Experiment with input signals and metadata (e.g., device models, power levels, signal strength) to improve accuracy and performance., • Leverage machine learning and cloud technologies to build scalable data science solutions., • Collaborate closely with product leaders and subject matter experts to develop analytics-driven solutions, enhance product features, and address business challenges. Job Requirements • University degree in Computer Science, Mathematics, Statistics, AI, Physics, or a related field., • Proven experience applying advanced analytics and machine learning to real-world business challenges., • Proficiency in Python programming., • Strong knowledge of data science and machine learning concepts, including:, • Clustering, regression, classification, and forecasting., • Neural networks and hyperparameter optimization., • Stochastic real-time data modeling and anomaly detection., • Data storytelling and visualization skills using tools like Apache Superset, Tableau, or QuickSight., • Customer-focused, results-oriented mindset with creative problem-solving skills., • Start-up mentality, with the ability to adapt quickly and take initiative., • Ability to work independently and deliver complex projects. \n We Make Things Easy Easy to Use. Simplicity is harder than complexity. Each of our apps focuses on a single user and a specific problem. We create solutions for everyone to help them get things done. Easy to Buy. We simplify pricing with a single, per-bed or per-room model that encompasses all the necessary products and services to achieve your desired outcomes. Easy to Deploy. Using AI, cloud, and mobile technologies, our equipment autonomously communicates and validates itself without the need for human intervention, cutting deployment time from months to weeks or even days. We Deliver Fast Outcomes Industry’s #1 Time To Value. We accelerate your ROI and deliver positive outcomes to users faster than anyone else, thanks to how easy things work with our AI- and cloud-based platform. Delivered As A Service. Delivering everything from devices to apps to support, our as-a-service model allows you to add new use cases with a simple click. Gain agility and speed like never before. Outcome Driven. We deliver outcomes, not boxed equipment. From on-site installation to monitoring, all the way to service-level agreements, our approach is uniquely designed to ensure the outcomes you need. We Ensure Unmatched Scalability Priced for Scaling. We offer scalable pricing, regardless of your project size. Enabling our customers to create value cost-effectively is a key element of our success. A Platform for Scaling. Lower TCO, quicker adoption of new use cases, extensive cloud scalability, and future-proofing your IT investments are among the many reasons why ___ is right for you. Managed for Scaling. SOC-2 and HIPAA compliant, our platform integrates with your wireless and security infrastructure, allowing you to use your current IT network with confidence and uninterrupted functionality.

ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE POSITION Our roster has an opening with your name on it FanDuel is looking for a data scientist who specializes in marketing modeling to join our team. In this role you will develop and evolve our internal marketing mix model, help create a roadmap to support its evolution, and deliver actionable insights driving business and marketing KPI. This role requires a strong background in data science, machine learning, and a deep understanding of marketing analytics. It is expected in this role to take ownership of open-ended ambiguous problems and reach an optimal solution by narrowing multiple options into the best approach. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. THE GAME PLAN Everyone on our team has a part to play • Develop and manage mix models to report on effectiveness of campaigns across all our products, • Build robust predictive models, showing capabilities of feature and model selection; develop, iterate and take to production advanced machine learning models, • Identify appropriate tools, systems, and models to solve large data problems and improve efficiency in the data infrastructure; choose the 'best' approach given available resources, • Create tools and models to generate actionable insights on Marketing campaigns, • Troubleshoot and resolve coding and modeling problems presented by others, • Work with agencies, vendors and in-house data engineers to source and manage all the data elements required for marketing mix modelling and channel attribution, • Partner with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights, and improve business results, • Present to senior leaders confidently and with impact THE STATS What we're looking for in our next teammate • Minimum of 5 years of industry experience in data science, analytics or engineering preferred, • Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred, • Strong analytical and quantitative skills, with high proficiency in Python and SQL (or coding language of choice), • Experience creating and managing models for marketing mix and channel attribution, • Experience with Databricks or similar cloud-based data science platform. Bonus points for experience optimizing compute based on model specifications, • Experience with Git, at least familiar with concepts such as branches, commits, and pull requests, • Familiarity with on- and off-line marketing data, • Experience using simulations for scenario analysis and recommendations, • Experience delivering model result to business users and have recommendation implemented, • Knowledge of sports and/or experience working within a heavily regulated industry is a plus, • Strong verbal and written communication skills – demonstrable track record of influencing marketing strategy through your insights PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: ___. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-Hybrid

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read ___ to learn more. About the role... We’re looking for an outstanding technical leader in Data Science who specializes in product analytics, statistical modeling/machine learning, and causal inference to advance data-centric decision-making at Duolingo. The ideal candidate will collaborate closely with leadership in Engineering, Product Management, and Learning (Video Call with Lily) to develop and deliver metrics, attribution models, and actionable business analyses. They will evangelize scientific methods and influence strategic business decisions, with an appreciation for the behaviors of Duolingo users. They will be a strong advocate and mentor for the Data Science & Analytics team and help advance their learning, creativity, and growth. You will... • Lead the cycle of turning ideas into production-grade data science solutions, ensuring long-term viability and robustness., • Apply advanced analytical methods, causal inference, machine learning, and AI to model user behavior, and partner with product and engineering teams to build scalable business frameworks and solutions., • Drive the data lifecycle: Understand, extract, transform, and validate data across multiple sources via relevant tools (e.g., SQL, R, Python)., • Partner with data engineers and business intelligence to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards)., • Communicate findings effectively to executive partners and collaborate with product teams to integrate insights into strategy and decision-making., • Stay on top of developments in statistical methods and LLMs, and drive continuous improvement in internal tools and analytical practices at Duolingo., • Provide guidance and mentorship to junior data scientists, encouraging an environment of excellence, innovation, and collaboration. You have... • Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems, or a related quantitative field)., • 5+ years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and statistical modeling., • Outstanding problem-solving abilities and the capacity to translate complex data into actionable insights., • Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners., • Able to relocate to and work in our New York office. Exceptional candidates will have... • Advanced degree in Data Science, Economics, Statistics, or an equivalent quantitative field., • Strong experience in developing and implementing an analytic vision to solve business-relevant problems., • Ability to lead multiple complex work streams and develop partnerships across organizational boundaries., • Experience with "big data" and cloud computing technologies like Redshift, Snowflake, BigQuery., • Effective storytelling ability with experience leading business conversations with senior leadership., • Experience training machine learning models and deploying them in production., • Familiarity with AI tools such as Cursor, a knack for prompt engineering, and a desire to continue to innovate and learn in AI., • Experience at a high-growth company that has undertaken an IPO., • An impressive Duolingo XP or streak! We post a multi-level salary range for all of our roles. This is not inclusive of the rest of our awesome portfolio that includes equity compensation and world-class benefits. Our salary ranges are the same for all US locations. Your recruiter can share more details about the range for a specific level during the hiring process. The actual salary within the range is determined by many factors including but not limited to, skills, experience, education, and internal equity. Salary Range: $177,700—$300,000 USD Take a peek at how we care for our employees' holistic well-being with our benefits___. We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact ___. Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this position your data will be processed as per the___. Sign up for job alerts ___.

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. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. This role will be based out of our New York, NY, or Los Angeles, CA office and has a hybrid (3 in-person days per week) work schedule. What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team What You've Done • 5-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs 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., • Team-Building Events: Engage in vibrant team events that foster camaraderie and collaboration, creating an atmosphere where your professional and personal growth are celebrated. 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$200,000—$275,000 USDAbout 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.

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

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. ___ guide how we show up for each other and our community every day. We are looking for a Staff Machine Learning Data Scientist to join our Science team. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. You’ll work closely with cross-functional partners across product, software engineering, and testing teams to develop the next generation of Oura's health insights. This is a remote US role with a slight preference for candidates based on the East Coast. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do: • Design and develop scalable data generation pipelines that prioritize robustness, reproducibility, and quality across diverse physiological signals., • Research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data., • Build scalable training pipelines to support high-throughput model development and iteration., • Design comprehensive evaluation strategies for model performance and clinical validity., • Collaborate cross-functionally with engineering, product, and validation teams to bring scientific models to production., • Have a PhD in machine learning, artificial intelligence, biomedical engineering, or a closely related field., • Bring 5+ years of relevant industry experience (post-PhD) working with applied ML in a product setting., • Have hands-on experience developing and deploying large time-series models, especially those built on sequential physiological or wearable data., • Demonstrate strong programming skills in Python and experience with cloud-based ML (e.g., AWS, Github, Pytorch, Docker)., • Possess a deep understanding of scalable ML workflows, including data pipelines, evaluation frameworks, and deployment to production., • Self-starter and vision-driven with strong collaboration and communication skills and thrive in cross-functional settings., • (Bonus) Have a background in physiology, health sensing, or digital biomarkers., • (Bonus) Have experience shipping ML models in production environments and conducting real-world validation. At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $182,000 - $228,000, • Region 2 $169,000 - $211,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: As a Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. You will be making a real impact on the data engineering team and will be key to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of tons of people. Data Engineers will be improving core functionality and implementing critical pipelines that will not only aid the data engineering team, but the rest of the organization. As a Data Engineer at Hinge, you will be working on an actual big data architecture, while concentrating on real-world problems. \n Responsibilities: • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers., • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more., • Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives., • Work with stakeholders and translate their needs and expectations into action items and deliverables., • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines., • Contribute meaningful insights and feedback to our team processes., • Participate in our on-call rotation., • Perform other job-related duties as assigned. What We're Looking For: • Proficient in Python, SQL, DevOps, and databases., • 3+ years of professional/industry experience., • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes., • Strong communication skills (written/verbal).Experience modeling data sets for different types of sources and business processes., • Passionate about designing elegant data infrastructure, tooling, and pipelines., • Familiar with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery), and CI/CD technologies (CircleCI). \n$143,000 - $172,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge

Serves as a Data Scientist for Independent Compliance Risk Management (ICRM)’s Surveillance team responsible for the design, implementation, and oversight for a suite of surveillances designed to detect behaviors that may violate regulatory rules or internal policies and procedures. When potentially anomalous behavior is detected, the team is responsible for escalating the activity and working collaboratively with partners across the first and second lines of defense to determine the appropriate resolution of the matter, which may include employee discipline. . The ICRM Global Surveillance platform encompasses a number of surveillance related portfolios including trade surveillance, e-communications and voice surveillance, employee trading, outside activities surveillance, and information barrier surveillance. Responsibilities: * Designing and developing tools and methods for generating and analyzing electronic communication surveillance alerts. * Employing advanced text analysis and natural language processing techniques to improve electronic communication surveillance tools and applications. * Improving surveillance tools and applications by coordinating with Information Technology on the timely implementation of enhancements and proactively addressing potential issues. * Strong skills and demonstrable success in applying text analytic and natural language processing/understanding techniques such as entity extraction, sentiment analysis, intent detection, and topic modeling required * Proficiency in programming languages and packages for data science (e.g. Python, Scala, TensorFlow) required * Creating, enhancing and implementing surveillance scenarios and conducting surveillance reviews. Improving surveillance tools and applications by coordinating with Information Technology on the timely implementation of enhancements and proactively addressing potential issues. * Gathering, reviewing, investigating and analyzing trade data as well as responding to regulatory inquiries from each of the major regulatory bodies (e.g. FINRA, SEC, CFTC). The response process includes compiling all requested documentation, analyzing the results to identify potential issues, escalating potential risk issues to the appropriate coverage areas and providing input on potential corrective action plans designed to address issues that are identified. * Participating in ad-hoc requests, special projects and regulatory exams directed by other organizations within the compliance or legal departments. * Other responsibilities include: overseeing the monitoring to adherence to ICRM’s Risk Policies and relevant procedures; preparing, editing and maintaining Compliance program related materials; interacting and working with other areas within Citi, as necessary; and keeping abreast of regulatory changes, new regulations and internal policy changes in order to further identify new key risk areas. * Interacting with global counterparts in regards to the governance of their surveillance portfolio. * Additional duties as assigned. * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: * Five to eight years of experience in data science, machine learning, quantitative research, quantitative analysis, advanced statistical methods, surveillance design, and/or data modeling required. * Experience designing and prototyping surveillance patterns using time series analysis, features engineering, random forest, natural language processing, and/or advanced statistical methods highly desirable. * Prior experience managing and delivering surveillance projects highly desirable. * Proficiency in programming languages and packages for data science (e.g. Python, Scala, TensorFlow) required. * Big data and cloud computing experience highly desirable. * Assess and adapt latest trends in data science for application within ICRM surveillance. * Serve as subject matter expert for strategic surveillance design. * Assess and advice on methodological alternatives for data science solutions. * Lead and mentor junior data scientists. * Expertise of Compliance laws, rules, regulations, risks and typologies * Ability to organize workflow, ideas and materials * Experience with drafting Business Requirement Documentation (BRD) * Excellent written, verbal and analytical skills * Must be a self-starter, flexible, innovative and adaptive * Self-motivated and detail oriented * Advanced presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging * Ability to work collaboratively with regional and global partners in other functional units; ability to navigate a complex organization; to influence and lead people across cultures at a senior level * Experience in managing regulatory exams and relationships with examiners, auditors, etc. * Awareness of regulatory requirements including local and US laws, international and industry standards * Advanced knowledge in area of focus Education: * Bachelor’s degree; experience in compliance, legal or other control-related function in the financial services firm, regulatory organization, or legal/consulting firm, or a combination thereof; experience in area of focus Job Family Group: Compliance Job Family: Surveillance Time Type: Full time Primary Location: Jersey City New Jersey United States Primary Location Full Time Salary Range: $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Anticipated Posting Close Date: Jun 13, 2025 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review ___. View Citi’s ___ and the ___ poster.

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. ___ guide how we show up for each other and our community every day. We are looking for a Senior Site Reliability Engineer to join our SRE Squad. Our team is responsible for governance and observability of the Oura AWS infrastructure. We combine the power of the ring & the app with backend services and integrations to provide a data rich and secure platform. Our APIs power most Oura apps, services and machine learning components. Good reliability and scalability of the Cloud platform provides the technical foundation for our growth. This is a remote U.S. role with a preference for candidates based on the East Coast. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do: • Maintain and further develop Oura’s AWS infrastructure and related services, • Build tooling, observability and fault tolerance into our cloud platform, • Build our infrastructure as code platform, and help migrate services to run on shared good practices, • Build our deployment and dependency management to ensure a fast and robust way to test and release our code, • Build a team and culture of operational excellence and maintain SLAs, • Ensure that our platform adheres to the latest security and compliance regulations, • Have 5+ years of backend development experience, • Have architected and built data-intensive distributed systems in production environments, and you can apply the proper architectural patterns, • Have a pragmatic can-do attitude and delivery-focused mindset; you can handle trade-offs between short-term goals and long-term tech debt, • Can design for scale and growth; such as prepare for user demand peaks, and build fault tolerant and secure systems, • Experience from Healthcare business and supporting large enterprises is an asset you might have, • Have built robust deployment pipelines and have experience in related tools. Experience with Github Actions is a bonus., • Have strong experience running, monitoring and debugging production systems at scale on AWS (We are running on AWS infrastructure and use key AWS services like EKS, RDS, S3, SQS, Kinesis, Lambda, and Dynamo DB), • Have experience building production systems on serverless architecture, • Have experience running and orchestrating containers in AWS with tools like ECS, Fargate or EKS, • Configure and manage Kubernetes resources, including pods, services, deployments, and namespaces., • Have solid programming skills in languages such as Javascript or Python What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $162,000 - $203,000, • Region 2 $150,000 - $187,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Our Machine Learning Engineering Internship is designed to give you a real sense of what it’s like to work at Jane Street full-time as a Machine Learning Engineer. Over the course of your program, you will explore ways to approach and solve cutting-edge ML problems through fun and challenging classes, interactive sessions, and group discussions—and then you will have the chance to put those lessons to practical use. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. You will be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. When you’re not working on your project, you will have plenty of time to enjoy our office amenities, explore our physical and virtual educational resources, attend guest speakers and social events, and engage with the parts of our work that excite you the most. If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you’ll fit right in. Learn more about Jane Street’s ___here. Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning ___. During the program, you’ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we’re still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our ___ Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills. We don’t expect you to have a background in finance—we’re more interested in how you think and learn than what you currently know. You should be: • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow, • A top-notch programmer with a love for technology, • Intellectually curious, collaborative, and eager to learn, • Humble and unafraid to ask questions and admit mistakes If you're a recruiting agency and want to partner with us, please reach out to .

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!

Our client is a leading technology company specializing in AI-centric cloud infrastructure, which is reshaping the landscape of artificial intelligence. The company operates one of the most powerful commercially available supercomputers and provides scalable AI cloud infrastructure optimized for AI/ML workloads, leveraging thousands of NVIDIA GPUs, high-performance InfiniBand networking, and managed Kubernetes or Slurm orchestration. Their platform supports AI developers and enterprises requiring large-scale GPU compute power and sustainable, energy-efficient data centers. To democratize access to high-performance AI infrastructure by delivering innovative, scalable, and sustainable cloud solutions that empower AI developers and enterprises worldwide to accelerate their AI and machine learning workloads with unparalleled efficiency and reliability. We are seeking a Senior Network Engineer to join our client’s infrastructure team. This role is critical in ensuring the smooth and stable operation of the company’s large-scale data center networks and global backbone. You will design, develop, and maintain advanced network architectures supporting thousands of server ports and GPU cluster interconnects, contributing directly to the company’s mission of delivering cutting-edge AI cloud services. This is a remote US-based role requiring frequent travel to data center sites, as well as the ability to work European time zone hours and collaborate with international teams. * Ensure stable operation of data center infrastructure, points of presence, and global backbone networks * Design and develop large-scale data center networks, including InfiniBand-based GPU cluster interconnects * Develop and maintain monitoring and automation tools to improve network operations * Provide technical design, operational support, and collaborate cross-functionally with R&D, SRE, ITDC, and network development teams * Lead and support major network infrastructure upgrades and new region launches * Liaise with vendors for troubleshooting and network infrastructure testing * Maintain comprehensive network documentation and testing plans * Participate in on-call rotations and travel 2-3 times monthly to sites in New Jersey, Kansas City, and occasionally Amsterdam * Work European time zone hours and coordinate with global teams * At least 5 years of experience working in large, complex technology environments * Proven ability to manage and support critical infrastructure serving large user bases * Strong analytical and troubleshooting skills for resolving complex network issues * Hands-on, proactive approach to maintaining and improving network systems * Self-motivated and able to work independently while contributing to a high-performing team * Excellent communication skills with experience collaborating across diverse teams and cultures * Ability to travel domestically and internationally 2-3 times monthly * Legal authorization to work full-time in the U.S. without visa sponsorship * Networking Certifications: CCNP, CCIE, JNCIE, or equivalent expert-level qualifications * Routing & Switching: BGP, IS-IS, Segment Routing MPLS (with IPv6), Ethernet switching, VXLAN, ECMP, L3 MPLS VPNs * Data Center & Cloud Networking: Troubleshooting TCP/IPv4/IPv6 in complex data center topologies (e.g., CLOS networks), cloud overlay network technologies, software-defined networking (SDN) * Vendor Ecosystem: Hands-on experience with Juniper, Arista, Huawei, and Mellanox network equipment * Cloud Platforms: AWS, Azure, Google Cloud * Bonus: Knowledge of GPU and Infiniband networking * Bonus: Programming skills in Python or Go for network automation * Bonus: Experience working in Linux environments * Passion for staying current with HPC and AI infrastructure domains * Commitment to maintaining the highest standards of network reliability and performance in environments where milliseconds matter * Comfort working with international teams and adapting to different operational requirements across global data center locations * Drive to expand technical expertise in cutting-edge areas like GPU networking, software-defined infrastructure, and cloud-native networking * Competitive base salary ranging from $115,000 to $145,000 per year plus quarterly performance bonuses * 100% company-paid medical, dental, and vision insurance for employees and families * 401(k) plan with up to 4% company match and immediate vesting * Generous parental leave (20 weeks primary, 12 weeks secondary caregivers) * Remote work reimbursement up to $85/month for mobile and internet * Travel allowance and support for frequent business travel * Company-paid short-term, long-term disability, and life insurance * Work with a team operating one of the world’s most powerful supercomputers * Contribute to sustainable AI infrastructure with energy-efficient data centers that reuse waste heat * Enjoy a culture that blends startup innovation with the resources of an established company * HR Screening + Candidate Survey * Level 1: Interview with the Hiring Manager * Level 2: Internal Routing Skills Interview * Level 3: External Routing Skills Interview * Level 4: Automation Skills Interview * Reference and Background Checks: Conducted after the successful completion of all interview stages * Job Offer: Extended to the selected candidate following successful checks We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Writer is seeking an experienced Developer advocate focused on events and community engagement to join our developer relations team at Writer. An accomplished storyteller with a strong technical background, this developer advocate will represent Writer at events, on social media, and in AI engineering communities to drive awareness of Writer research and technology and adoption of the Writer platform. You will collaborate with product marketing and our research and technology teams to develop high quality technical presentations, represent Writer at engineering and research events through sponsorship and speaking, engage with the AI engineering community on social media and platforms like Discord, and find other creative ways to ensure that the great work Writer is doing is front and center in these communities. When applying, please submit examples of your public speaking that are relevant to your work experience (e.g. recordings of previous talks, slides). If you do not, your application will not be considered. * Speak at high impact AI engineering conferences and meetups in AI hubs like SF, NYC, Chicago, and Austin. * Partner with the strategic events team and work at sponsored technical events, such as technical and research conferences. * Proactively engage in AI engineering, ML, and Python communities through social media and platforms like Discord and Reddit. * Run and participate in hackathons and workshops, partnering with other development platforms when it will magnify impact. * Pursue additional opportunities to promote Writer’s models and technology, such as submitting to leaderboards or building engaging public demos. * Appear on podcasts and streams discussing Writer’s research and technology * Assist the rest of the team with technical content creation, docs, and SDKs 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 and how to authentically engage with them: researchers, developers, and IT. * You bring at least three years of experience as a developer advocate, software developer, AI/ML engineer, or related role, with a proven track record of impactful public speaking and community engagement. * 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 audience first, ensuring content is accessible and engaging. * You’re willing and able to travel (30-50%). * 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 ___.

About Us Resonance is a technology company building a more sustainable and valuable fashion industry for designers, brands, manufacturers, consumers, and the planet. The company’s AI-powered operating system ONE enables brands to design, sell, and make in that order, empowering designers to operate with no unnecessary inventory and eliminating the financial and environmental burdens of the legacy fashion industry. Resonance ONE is our software that powers any apparel company. Resonance ONE uses an emergent behavior model that redefines how garments are designed, sold and made with an “I know nothing” mindset that is constantly learning from our users. Resonance ONE includes the following: • An apparel brand or creator’s digital operating system to launch and run their brand’s business., • An AI Agentic framework, Contracts, and APIs for functions that span the end-to-end creation-to-closet functionality, including everything from 3D volumetric design and collection creation to payments to orders to inventory management and some non-standard processes that are specific to Resonance workflows Headquartered in New York City and Santiago, Dominican Republic, Resonance has partnered with more than 30 brands, including THE KIT and Rebecca Minkoff, to create garments that use 97% less dye, 70% less water, and 50% less material than any other fashion brand—and immediately eliminate overproduction. Want to know more? Visit our website and read articles about us. About the role As a Senior AI Engineer at Resonance, you will be deploying cutting-edge AI solutions for both internal processes and client facing products. This role focuses on pushing the boundaries of what is possible with AI to help revolutionize the Fashion industry and deliver real value. You will be responsible for applying the state of the art while being extremely value focused. You will develop practical AI solutions, including applications of Machine Learning Models and Large Language Models initially focusing on Retrieval AugmentedGeneration (RAG). You will contribute in the design and implementation of these AI-driven systems, working closely with a multidisciplinary team of engineers and domain experts as well as different teams within Resonance. This role is ideal for engineers that are passionate about applying technology to create meaningful and impactful solutions while also recognizing that delivering value and delighting customers trumps all else. Responsibilities • Own the design, development, and deployment of software solutions that build innovative AI tools and models, • Build and maintain the data curation pipelines to feed machine learning models, • Collaborate with cross-functional teams, including product managers and domain experts, to discover, build, and iterate on innovative features and products., • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives, • Master’s degree or higher in Computer Science, Engineering, AI, or Machine Learning or a related field, or equivalent experience., • Minimum of 7 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting., • Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, agent and RAG frameworks)., • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences., • Hands on experience with AI technologies, particularly in LLM-RAG and machine learning., • Comfortable in cloud environments (e.g., AWS, Azure, GCP) and the full end-to-end process of modern cloud-native software deployment (e.g., Kubernetes, GitOps), • We offer full benefits (medical, dental, and vision), a competitive salary and equity., • Resonance Companies is an equal opportunity employer and values diversity in our company. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role As a Customer AI Engineer at Writer, you'll play a critical role in developing and building complex prompts, applications, and agents to support our most important customers. You'll work closely with our Customer Success team both to determine how best to take the input data we receive from our customers and use it to produce first-rate content using our proprietary Palmyra family of models. You'll also ensure customer content aligns with their style and formatting requirements. Your expertise in Python, dataset curation, prompt design, and linguistics will be crucial to growing and maintaining Writer’s relationships with its customers. You'll initially report to our VP of Technical Delivery. 🦸🏻‍♀️ Your responsibilities: * Base Prompt Design and Iteration: Create and optimize base prompts that will be used to supercharge our customers’ content creation pipelines. * Linguistic Expertise: Utilize your understanding of linguistics to craft search patterns used to enforce customer formatting guidelines in their content. * Prompt Chain Design: Collaborate with the team to design, develop, and evaluate prompt chains for specific content creation tasks. * Technical scoping: Work with stakeholders in Customer Success and with our customers to scope projects and define best practices for using what you create. * Documentation: Maintain clear and comprehensive documentation of prompt engineering processes and outcomes and share innovative techniques with the team * Cross-functional Collaboration: Collaborate with engineering team members to integrate your prompt engineering work seamlessly into our product. ⭐️ Is this you? * Bachelor's degree or higher in Computer Science, Linguistics, or a related field * Solid coding proficiency using Python. * Professional experience in prompt design and a deep understanding of linguistic principles. * Expertise working with search patterns for morphology and word patterns. * Proven experience in designing, developing, and evaluating base prompts. * Knowledge of natural language processing and machine learning concepts is a plus. * Excellent communication and collaboration skills. * Problem-solving mindset and a passion for working on complex challenges. * Attention to detail and the ability to work independently and as part of a team. * #LI-Hybrid Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 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 ___.

We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems. You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you. ___ is building the___. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products. * At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company * Demonstrated ability to design and deploy large-scale machine learning systems that add new value to the product. * Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic ML * Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc. * Experience constructing and running end-to-end evaluation pipelines with real world data. * Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools. * Strong problem-solving skills, with a focus on creating highly maintainable, scalable code. * Excellent communication and collaboration skills. * Comfortable with iterative development, prototyping, and adapting quickly to feedback. * Hands-on experience with vector/hybrid search. * Experience with dataset curation or synthetic dataset generation for novel problem domains. * A passion for staying ahead of applied AI trends and prototyping emerging technologies. * Contributions to open-source ML tools or libraries. * Experience with Go or another systems language. * Identify as a builder * Are excited to work in-person from our new and spacious office in New York * Love working in a startup environment (experience in a startup or obsession with going zero-to-one) * Enjoy working with people who are ambitious, caring, and think in systems * Thrive in a fast-paced iterative environment where experimentation is essential * Pay & ownership — Competitive salary with generous equity grants. * Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits. * Unlimited PTO — Take the time you need to recharge. * Dinner on late nights — Working late? Dinner is on us. * Fitness stipend — Monthly support for your health and wellness. * Tools of the trade — Any equipment you need to do your best work. * Commute perks — Citi Bike + train benefits. * Application Review – Send us your stuff, and a quick note on why you're excited. * Intro Chat: Share what you're looking for next and learn more about what we're building. * Founder Interview: Talk with one of our founders in more detail about the role * Technical Interview: We’ll have you complete a short exercise specific to the role. * Onsite: Come onsite and meet the team through a series of 1:1 interviews. * Decision – We’ll move fast.

Medal enables millions of gamers to capture and share their best gaming moments and create memories together.Medal's 1M+ daily active users create 3M+ videos per day on our desktop and mobile applications.Your work will have a real impact on millions of people around the world!.This role will be res

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026.

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, • Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more, • Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features, • Tackle novel UX problems at the intersection of AI, BI, and apps, • 10+ years of experience building and deploying production-grade AI/ML systems, • Deep knowledge of machine learning, deep learning, and applied AI, • Experience across the full ML lifecycle: data curation, training, deployment, monitoring, • A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex, • Experience adapting or training foundation models (language or multimodal) for novel domains, • You've built agents that can plan, reason, and use tools, • You know your way around cloud infrastructure (AWS, GCP, Azure), • You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program, • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London.

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the ___ — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health: Komodo Health is transforming healthcare by building the leading healthcare analytics platform. Our AI team, Labs@Komodo, is pioneering this transformation by delivering AI-native solutions that elevate both the products we bring to market and the way we build them. This role is designed for engineers who thrive in a fast loop of experimentation, iteration, and validation—people who move quickly from idea to working prototype using AI tools, and who know when to slow down and apply engineering discipline to scale what works. We’re looking for engineers who approach AI like product managers—owning the full lifecycle of intelligent systems: from rapid prototyping to feedback-driven iteration to scalable deployment, with a deep focus on how these systems deliver value, evolve over time, and integrate across the broader product ecosystem. You’ll serve as a multiplier: accelerating Komodo’s external innovation while reshaping internal systems, from engineering workflows to business automation. Looking back on your first 12 months at Komodo Health, you will have accomplished… • Delivered production-ready AI products and models that materially improve the precision and scalability of Komodo’s core analytics platform, • Rapidly prototyped and launched internal AI agents that enhance engineering workflows, automate routine tasks, and streamline cross-functional operations, • Helped shape and operationalize Komodo’s AI strategy by embedding AI-native thinking across products, teams, and platforms, • Mentored others in using AI to solve real problems by sharing best practices in prompt design, agent orchestration, and rapid iteration, • Contributed to Komodo’s IP portfolio by building novel workflows that combined speed, creativity, and technical rigor, • Set new standards for ethical, trustworthy AI by implementing feedback loops, model governance, and transparency mechanisms across your work. These are the essential job duties you will be responsible for … • Designing and delivering AI-native products and tools that solve real healthcare challenges and optimize internal workflows., • Building and extending AI features across the full stack to ensure AI capabilities are production-ready and integrated into Komodo’s platform., • Driving the full product lifecycle by gathering requirements, shaping them into technical designs, and delivering complete features that connect AI systems to real customer and business value., • Driving experimentation by developing working demos and iterating based on fast feedback from users and data., • Prototyping rapidly using GenAI models, chaining techniques, and orchestration frameworks to test ideas in days—not quarters., • Partnering with engineers, product teams, and operational stakeholders to identify AI leverage points across workflows, • Researching and applying state-of-the-art AI techniques—LLMs, agent-based systems, generative models, etc.—to both structured and unstructured datasets, • Building internal systems that enhance developer productivity: think agents for code review, documentation generation, or dynamic prompt libraries., • Transitioning successful prototypes into robust, scalable systems—with attention to reproducibility, observability, and maintainability., • Continuously exploring emerging models and toolchains (e.g., Gemini, GPT, Claude, open-source agents) and evaluating them through practical application. What you bring to Komodo Health (required): • A track record of building AI-powered systems that move rapidly from prototype to production, • Strong proficiency with LLMs, prompt engineering, context engineering, agent orchestration , and multi-agent systems, • Fluency in Python and hands-on experience with Gen AI frameworks (Chat Completions API, vLLM, Crew AI, Strands, etc.), • True full stack engineering: You are fluent across modern front-end frameworks such as React or Vue and back-end systems like FastAPI, Django, or Flask, and you use that breadth to design the APIs, interfaces, and services that bring AI capabilities into production., • End to end product ownership: You have a track record of translating customer or business needs into clear product requirements and delivering full stack features that turn AI prototypes into usable, value-driving products, • Deep understanding of AI/ML fundamentals, with applied experience solving real-world problems using an AI-first approach, • Comfort building quick demos, debugging AI behavior, and translating ideas into functional agent workflows or model pipelines, • The engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability in mind, • A system-builder mindset: equally motivated to craft internal AI tools and deliver customer-facing solutions., • Strong communication and collaboration skills—able to work across technical teams and influence non-technical stakeholders, • Degree in Computer Science, Machine Learning, or a related field—or equivalent hands-on experience that speaks for itself Expectations of AI Use in this role (required): This role is AI-native by design—you are expected to apply GenAI, agent-based workflows, and cutting-edge models as your default problem-solving toolkit. This includes: • Automating your own workflows using tools like Gemini, GPT, Claude, etc. and internal agents, • Driving experimentation and adoption of new AI techniques within your team and across Komodo, • Thinking in systems: understanding how prompt chains, orchestration logic, and fine-tuning loops can be built into scalable solutions Additional skills and experience we’d prioritize (nice to have)… • Experience with specific healthcare data modalities (e.g., claims, EHR, genomic data)., • Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing. The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $165,000 - $253,000 USD All Other US Locations: $144,000 - $194,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a ___; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options. What We Offer Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with 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.

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

Senior / Staff / Principal Machine Learning Engineer. Collaborating with software engineers to integrate ML models into production systems. Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams. * Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team. * Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences). * Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements. * Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team. * Have fun working on hard and highly impactful problems. * 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity. * Strong foundation in Software Development and prior experience leading impactful ML software projects. * Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability. * Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …). * Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features). * Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go). * Experience with the AWS cloud. * Experience with Snowflake. * Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI). Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

About Moloco: Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms. That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale. An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ___ of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the ___. That same year, we also received ___, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified ___! Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! About the role Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers as seen here (). Check out our case study published by Google What You Will Do • Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems., • Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable., • Develop highly scalable model servers on cloud platforms., • Work with product, account, and infrastructure engineering teams to define future product roadmaps. Basic Qualifications • MS or Ph.D. degree in Computer Science or related technical field, • 7+ years of software development experiences in Machine Learning, Deep Learning related areas, • Fluent with one or more programming languages including Python, Java, and Golang., • Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems. Preferred Qualifications • Relevant experience in AdTech (We truly encourage you to apply even if you don’t have these) • MS or Ph.D. degree in Computer Science or related technical field Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range: $232,000 - $348,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success., • Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible., • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value., • Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our ___.

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their work and billions of fans the opportunity to enjoy and be inspired by it. The Music Mission team owns Spotify’s end to end proposition for music creators and th

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Architect and develop scalable, production-grade Machine Learning (ML) models and services. Take ownership of end-to-end development from data collection and model training to deployment and monitoring. Work closely with cross-functional teams, including product managers, data engineers, and software engineers, to define ML requirements and implement solutions that meet business objectives. Conduct advanced machine learning research to evaluate new algorithms, frameworks, and tools. Stay ahead of industry trends and bring innovative solutions to the team, contributing to the evolution of AI and ML capabilities within the company. Develop and implement methods for evaluating and optimizing the performance of ML models, ensuring robustness, scalability, and efficiency in real-world applications. Partner with leadership and product teams to influence the product roadmap and integrate AI-driven features into products, ensuring they align with the company’s strategic vision. Work on complex, ambiguous technical challenges and apply your expertise in ML techniques to craft innovative solutions that address both short-term needs and long-term scalability. Create systems to monitor the performance of ML models in production, and lead efforts to troubleshoot and resolve issues as they arise. Provide mentorship to junior and mid-level engineers, offering technical guidance and fostering a culture of knowledge-sharing. Lead code reviews and help establish best practices in ML development and deployment. Telecommuting may be permitted. When not telecommuting, must report to 199 Lafayette St, Ste 3B, New York, NY ___: $169,541 - $192,216 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 5 years of professional experienceas aData Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL Must also have experience in the following: 2 years of professional experience utilizing Machine Learning to analyze data; 2 years of professional experience using Machine Learning models, Machine Learning problem framing and best practices, and Natural Language Processing; 2 years of professional experience working with cutting edge AI, including Large Learning Models; 2 years of professional experience conducting ML-driven research to help influence product roadmaps; 2 years of professional experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking; 2 years of professional experience utilizing machine learning libraries and deep libraries (including scitkit-learn, numpy, pandas, scipy, TensorFlow, SQL, Hive, or Spark) to access and analyze data; 2 years of professional experience innovating and improving upon algorithms and methodologies in search and personalization. Please send your resume to: . Please specify as code RODCWhy Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit ___ for more information. Job Highlights Location: Preference for candidates residing in the Tri-State Area (New York, New Jersey, and Connecticut). Hybrid work preferred, but fully remote work is possible for the right candidate. Must be based in the United States Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate. Work Schedule: 9:00 am – 5:00 pm EST, Monday to Friday Position Type: Grant funded, limited-term opportunity Position End Date: June 30, 2025 \n Overview • The Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements., • Working within the New York City Department of Health and Mental Hygiene, Center for Population Health Data Science, the Data Scientist will primarily work on supporting the privacy of confidential data by employing advanced statistical techniques to work with various sensitive datasets. In this role, the Data Scientist will also be acting as a data steward to ensure data governance requirements are adhered to by the organization., • The Data Scientist will be hired by the CDC Foundation and assigned to the New York City Department of Health and Mental Hygiene (DOHMH) Center for Population Health Data Science (CPHDS). Preference for candidates residing in the Tri-State Area (New York, New Jersey, and Connecticut). This position is eligible for a hybrid work arrangement for U.S. based candidates. Responsibilities • Work with and understand confidential datasets, • Work with stakeholders of confidential datasets to understand reporting needs and disclosure risks, • Identify, document and employ (statistical) data risk management techniques on confidential datasets, • Generate and utilize synthetic data, • Work with and understand electronic health and other public health records, • Document methods and engineering processes especially related to risk management, • Collaborate with team members and stakeholders to optimize workflows, including reporting, • Ensure data governance requirements are met with data users Qualifications • Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field, • Minimum 5 years of relevant professional experience, • Familiarity with data governance and data protection regulations., • Proficiency in programming languages such as Python, SAS or R., • Experience with data manipulation and analysis tools (e.g., SQL, DBT, Pandas, NumPy)., • Strong analytical thinking and problem-solving abilities., • Ability to interpret complex datasets and derive meaningful insights., • Excellent verbal and written communication skills., • Ability to convey technical concepts to non-technical partners effectively., • Flexibility to adapt to evolving project requirements and priorities., • Professional certifications in data science, machine learning, or public health analytics preferred., • Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, and partners., • Demonstrated ability to work well independently and collaboratively within teams., • Experience working in a virtual environment with remote partners and teams., • Proficiency in Microsoft Office. \n Special Notes This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law. We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans. The CDC Foundation is a smoke-free environment. Relocation expenses are not included.

Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain, • Working knowledge of Scala Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: ___ and make sure to watch all our introductory videos and yearly recaps here: ___ Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: ___. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K___ Annual Salary Range: $40K-$200K