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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.

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.

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

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

✍🏽 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 ___.

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

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

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

Experience with web frameworks for building interactive applications (FastAPI, Flask). Have experience creating data visualizations and interactive dashboards. Have experience with web development for interactive tools (JavaScript, React, etc.

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. We are looking for Data Engineers to join our teams across PZN. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment! \n What You'll Do • Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam., • Develop, deploy, and operate Java services that impact millions of users., • Work towards supporting machine learning projects powering the experience that suits each user individually., • Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day., • Deliver scalable, testable, maintainable, and high-quality code., • Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability. Who You Are • You are familiar with the concepts of data modeling, data access, and data storage techniques., • You are familiar with distributed data processing frameworks (ex: Beam, Spark)., • You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation., • You value opportunities to work collaboratively. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas 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 Americas 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 $125,562 - $179,374 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

Artificial Intelligence (AI) / Machine Learning (ML). Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities.

___ is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality. We’re looking for sharp, low-ego people to help us turn every business's creative ideas into a reality. Check out our ___ to learn more about the product. Why is Clay the best place to work in New York? * Customers love the product (100K+ users and growing) * We’re growing a lot (10x YoY for the past two years) * Incredible culture (our customers keep applying to work here) * In-person work (beautiful office space in Flatiron) * Well-resourced (raised a ___ expansion in Winter 2024 from investors like Sequoia and Meritech) We’re looking for a data science "Olympian" to own full-funnel insights—from shaping our data infrastructure and asking the right questions to running experiments and delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. Our data stack is best in class (we use Snowflake, dbt, Dagster, Hex, Sigma, Eppo, and Census) * Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product * Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders * Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery * Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively * Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively * Experiment: Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products * 4+ year experience * Expert in SQL and Python or R * Robust understanding of statistical and machine learning methods * Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow) * Live in New York (or willing to relocate) Based out of a central office on 19th Street in Manhattan's Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed. * Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do * Health insurance: Fully funded, high quality health, dental & vision coverage (including 80-100% therapy coverage) * Visa sponsorship: We get it - it's an arduous process, but we're not scared of it * Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that * Free lunch: Lunch is provided in office every day * Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave Learn more about Clay and what it’s like to work with us ___ Learn more about Clay and what it’s like to work with us

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

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.

Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Staff Machine Learning Engineer.

MS or PhD in computer science or equivalent experience. Bachelor's in Computer Science or a related field of study. Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders.

VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for ta

Automation AI Security Engineer Brooklyn, NY Onsite Description: The resource’s function is essential to securing the City of New York’s systems for the MyCity Portal development project. Specifically, this resource will help aid in the automation of the Project's Artificial Intelligence (AI) capabilities with other cybersecurity tools. This requires the testing and hardening of the AI ecosystem through well-designed frameworks designed to protect the City of New York's systems and data from emerging cyber-attacks. MyCity is a single portal for all City services and benefits. The vision is a simple, seamless, and intuitive experience interacting with City government digitally. It is designed with New Yorkers at the center of the process to prioritize features by conducting user research. MyCity produces value for New Yorkers, early and often through phased releases. There are several phases within the MyCity portal workstream (Child Care, Business Portal, Workforce Development Services and others). One such phase has been the inclusion of artificial intelligence (MyCity Chatbot) into the platform to enhance New Yorker's ability to leverage the platform. OTI Cyber Command is looking for additional support as the cyber threat landscape continues to evolve and Citywide cybersecurity solutions are deployed in large, complex networked environments. The needed resource skill set is specialized in: working with software development teams to ensure the security and responsible use of AI applications by providing automation guidance at various stages of planning and implementing security design, processes and solutions, and, testing and validation. The resource will have significant interaction with NYC Cyber Command leadership, its engineering, architecture, and application security teams, incident response and other cyber security practitioners. TASKS: ● Design and implement AI-powered solutions that enhances the security posture of tools across multiple platforms. ● Develop security content for tools and technologies that the Threat Management team relies on to ensure business as usual functioning. ● Design and deploy machine learning models for threat detection, incident response, and security orchestration. ● Integrate innovative and custom technology to improve accuracy of alerts and notifications received by teams within Threat Management. ● Create well documented and clearly articulated code, process and services documentation. ● Understanding REST and SOAP API usage and implementing solutions utilizing APIs from Cyber Command utilized solutions, that enhance detection and response capabilities of the Threat Management. ● Handle special projects and initiatives as assigned. ● Perform various types of tests such as functional testing, regression testing, performance testing, and usability testing to evaluate the behavior and performance of the AI algorithms and models. MANDATORY SKILLS/EXPERIENCE: ● Bachelor’s degree in computer science, electrical or computer engineering or related field, or equivalent work experience. ● Ability to leverage REST API’s to build tool and platform integration. ● Proficient in git version control and git life-cycle development. ● 8+ years of hands-on experience in cybersecurity or information security and Python development. ● Demonstrated ability to write test scripts, automate test cases, and analyze test results using programming languages and testing frameworks. ● Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems. ● Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. ● Ability to stay updated on the latest developments, trends, and best practices in both software testing and artificial intelligence. DESIRABLE SKILLS/EXPERIENCE: ● Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. ● Understanding of public cloud platforms and experience with utilizing platforms such as Azure, AWS or Google Cloud. ● Experience working in a security environment and/or supporting security teams from a technical standpoint. ● Ability to work collaboratively in an interdisciplinary team environment. ● Highly flexible/willing to learn new technologies. SPECIAL REQUIREMENTS: Normal on-prem business hours Monday-Friday 35 hours/week (not including mandatory unpaid meal break after 6 hours of work).

We are seeking a talented and experienced Senior Machine Learning Engineer to join our growing team. You'll work closely with the co-founders and a small, high-caliber engineering team to design, build, and scale core product features. Bachelor's Degree in Computer Science or Engineering.

This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy.

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

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

About Arthur At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact. About the role Arthur is looking for a product-focused Machine Learning Engineer to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers. What you'll do • Focus on ML, especially LLMs, model performance, security, and robustness: make LLMs and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users – for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasets, • Build out new techniques and tooling in ML model monitoring: data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithms, • Run machine learning experiments independently and in collaboration with product teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events, • 5+ years of professional experience in Machine Learning, and/or Engineering providing strong ML support, or Data Science/Statistics with 2+ years of Engineering expertise, • Deep experience writing production-grade python, in addition to experience using ML frameworks, such as JAX, Tensorflow, or PyTorch, • Understanding of software engineering best practices, version control, and containerization, • Customer empathy and a willingness to engage directly with customers and stakeholders, • Experience with deploying ML models to production and with comprehensive model risk management, • Deep interest in LLMs (to start) and multimodal generative models (soon!), specifically around measuring bias or performance, • Enthusiasm for staying up to date on the latest developments in the field – we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source projects, • Knowledge of and ability to (re)learn statistical methods and contemporary ML algorithms You might also have (nice to have, definitely not required) • Experience with public cloud services, such as AWS, Google Cloud, or Azure, • Experience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etc., • Experience or interest in explainability and fairness of recommender systems, • A body of ML-focused publications (we tend to have a presence at NeurIPS/ICML, KDD, AAAI, CHI, and the newer responsible AI conferences like SaTML, FAccT, and AIES), technical blogging, and/or open source projects, • Teammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swag, • A team of professionals who are passionate about our work and making a positive impact through AI, • A caring culture; we value and prioritize our team’s physical and mental health, encouraging and celebrating life outside of work, • Autonomy to pursue your role and interests with room to grow, with a team behind you that always has your back, • Competitive compensation plus medical, dental, and vision insurance, and a 401K (with matching), • Our target base salary range for this role is $160,000 - $230,000, based on level of experience and how your skills align with role requirements, • Equity in what we’re building together, backed by some of the most respected VCs in the industry, • A flexible learning and development budget: we’ll support ways to learn and grow in the areas that matter to you, • Highly discounted wellness and fitness benefits, • Flexible PTO with vacation minimums, which we really want you to take and enjoy, • The ability to work in a highly flexible hybrid environment - both from home, and from our NYC office with our team

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

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

With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators. As a Machine Learning Engineer on our team, you will work on re

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Work closely with our simulation engineers, data scientists and custome

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Senior Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. \n What You'll Do • Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development, • Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems, • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Who You Are • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformer architecture models, and fine-tuning processes for sequential models, • You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders, • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus, • You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS, • You care about agile software processe 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 $176,166 $251,666 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.

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: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring Senior ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge. \n Responsibilities • Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines., • Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models), • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Perform other job-related duties as assigned. What We're Looking For • Strong programming skills: Proficiency in languages like Python, Java or C++, • System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus., • Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as an MLE., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 2+ years of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field. \n$204,000 - $245,000 a year\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

PermitFlow’s mission is to streamline and simplify construction permitting in the $1.United States construction market.Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.We’ve raised a $31m Series A

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.

Prizeout is a leading New York city based fintech company where innovation meets financial empowerment. We provide rewards and loyalty solutions to partners that revolutionize the way their customers engage and maximize their financial potential. We're seeking passionate individuals to drive our mission forward and transform the landscape of advertising and financial technology. We have built a team that values humility and innovation and we believe that embracing challenges makes us better. We hire people we trust, who will live these values and who are able to find a way to navigate through obstacles, embody an entrepreneurial spirit, and maintain a spirit of optimism. If that’s you, please read on and apply today! ABOUT THIS ROLE: As a Senior Data Analyst at Prizeout, you will work within the data and analytics team to tackle ambiguous challenges and to build analytical tools. You will work to discover and deliver insights that drive value for our clients and internal teams. The ideal candidate will be able to execute on projects independently as well as effectively communicate findings across a variety of different teams. \n WHAT YOU’LL DO: • Collaborate on initiatives that drive a better understanding of our user, partner, and merchant behaviors, • Create models and frameworks that uncover insights otherwise buried in our raw data, • Develop a deep understanding of Prizeout’s algorithms and logic, how they impact our marketplace dynamics, and utilize that knowledge to interpret trends in data, • Work with data leadership to create meaningful analyses and reports with recommendations that drive real impact, • Provide analytical support to our engineering, product, partners, merchants, and operations teams to power essential products and services and to drive new business WHAT WE’RE LOOKING FOR: • 3+ years of experience in quantitative analysis and analytical roles, • Experience in data mining, cohort analysis, A/B testing and knowledge of quantitative methods (statistics, machine learning, etc.), • Proficiency with open-source languages and systems such as SQL, Python, Excel, Tableau, etc., • Excellent communication skills with the ability to synthesize and convey learnings to others to drive product roadmap and business priorities, • The ability to thrive when tackling big, undefined problems, • Desire to drive business objectives through quantitative / predictive work, • Must be willing to work full-time in NYC; this is not a remote role, • Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time \n$105,000 - $120,000 a year\n WHAT IS PRIZEOUT? Prizeout is an advertising and financial technology company that helps put money back into people’s pockets. Through Prizeout’s technology, brand-funded offers are available to all partners, including financial institutions, gaming companies, gig economy startups, and more, giving them access to instant cashback from national and local brands when they shop with digital gift cards. The company was founded in 2019 and is headquartered in New York City. Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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

About the CompanyFlow aims to create a superior living environment that enhances the lives of our residents and communities by developing, acquiring, owning, and managing multifamily apartment buildings and the services and technology inside those buildings. Fulfilling our mission will require an exceptional group of people whose collective output is greater than the sum of its individual parts. Our team members are energized by the opportunity to impact our residents’ lives in meaningful ways. They are bold and creatively ambitious, driven by relentlessly high standards, act with a sense of urgency and accountability, and always, above all, operate with integrity, loyalty, and trust. About the RoleAs an early member of our data team, you will significantly influence the data architecture and strategy of Flow. We are in search of a Senior / Staff Data Engineer who is not only enthusiastic about designing, developing, and deploying robust data solutions but also committed to ensuring the reliability, scalability, and security of our data ecosystem. Your contributions will be foundational in driving Flow towards achieving its goals and making a huge impact on the decision-making capabilities across our entire organization. At Flow, our mission is to utilize cutting-edge data technologies to enhance decision-making processes across the organization. As innovators in our domain, we aim to not only keep pace with the rapidly changing landscape of data engineering but to be at the forefront of its evolution. You'll build the sophisticated infrastructure that transforms our raw data into actionable insights, empowering teams throughout Flow to make smarter, data-driven decisions that propel our business forward. • Design, implement, and maintain our enterprise-grade data architecture leveraging cloud-native technologies, • Architect, develop, and deploy highly scalable and fault-tolerant data pipelines that power business intelligence and analytics capabilities across the organization, • Establish and evangelize data governance practices, creating authoritative datasets that serve as the foundation for data-driven decision making throughout the company, • Collaborate with cross-functional stakeholders to translate complex business challenges into elegant, end-to-end data solutions that deliver measurable value, • Lead strategic initiatives to evaluate, select, and implement cutting-edge data technologies that advance our data infrastructure capabilities, • Experience working in product & operations-heavy organizations, • A minimum of 7 years of data engineering experience building scalable data systems in engineering-centric organizations, • Deep understanding of the principles and challenges of ensuring high availability, fault tolerance, and efficiency in distributed data systems, • Experience mentoring and leading other engineers. We are seeking candidates who have either direct management experience or a strong desire to take on such responsibilities, • A keen ability to strike a balance between elegant design and pragmatic tradeoffs, all while prioritizing continuous delivery of value to the business High proficiency in SQL, Python, and modern data stack technologies (BigQuery, Fivetran, dbt, etc.), • Extensive experience designing and implementing data solutions on Google Cloud Platform or other major cloud providers (AWS, Azure) Experience with machine learning operations (MLOps) and productionizing ML models, including building robust data pipelines for model training, deployment, and monitoring, • Proven expertise with real-time data processing and streaming analytics platforms (Kafka, Spark Streaming, Dataflow, or similar technologies)

SignalFire is the first VC firm built like a technology company to better serve the needs of founders as they build and scale their startups. With approximately $3B in assets under management, SignalFire invests in applied AI companies from pre-seed to Series B in key sectors, including healthcare, cybersecurity, infrastructure, consumer, and other enterprise verticals. The firm’s Beacon AI platform tracks over 650M employees and 80M organizations, giving the firm an unmatched data advantage in identifying and supporting world-class startups. Its sector-focused investors and a dedicated team of seasoned operators drive SignalFire at startup speed. They provide support across a company’s full lifecycle through data and resources tailored by growth stage, plus a diverse ecosystem of partners and customers. Notable investments include ___, Grammarly, Grow Therapy, EvenUp, and Stampli. Learn more at ___ Learn more at Signalfire is looking for an exceptional engineer who is passionate about building robust data infrastructure that powers complex analytical workflows, machine learning processes, and data-intensive web application. As our data engineer, you will work closely with our investment, portfolio, talent team, and the rest of our engineering organization to build best-in-class tools that help us explore potential investment areas and support our portfolio companies. * Building industry-standard backend architecture and data pipelines for our AI platform, Beacon which helps our firm invest in the best startups in the market * Procuring and evaluating potential new data sources in service of identifying, diligencing, and supporting startups * Build and maintain scalable, maintainable data transformation pipelines using Python, Spark, dbt, apache/airflow to power the whole company's data science and analytics needs * Stand up new low-latency data processing infrastructure to provide clean data to machine learning models * Improve workflow orchestration and automation processes for existing systems * 2 to 6 years of experience working as a data engineer * A solid conceptual grasp (and preferably hands-on experience with) orchestration frameworks like Airflow, Dagster, Prefect, or similar * Experience with ETL, data processing, pipelining, and sanitizing * Experience working on complex data pipelines using SQL, Redshift, Python, dbt * Experience building backend infrastructure and architecture required to power frontend features * Understanding of data modeling strategies for both transactional and data warehousing workloads * Exceptional problem solving, analysis, decomposition, and communication skills applied within an agile development environment * BS/MS in statistics, computer science, economics, or a similarly quantitative field * Takes pride working on large projects from scratch to completion * San Francisco Bay Area or New York based In addition to working directly with our team at the forefront of a hybrid human + technology investment approach, you’ll also work closely with founders to help them solve major problems. Our culture is one that breeds creativity and impact and puts you in control of your own destiny. * End-to-end ownership: Engineers at SignalFire own the full stack—from data acquisition and model development to infrastructure and product delivery. This extends beyond code; you'll work directly with the investment team, gaining insight into how your work shapes strategic decisions. * Empowered decision-making: We’ve cut the bureaucracy of big companies but kept their resources. Have a strong idea? Pitch it. You’ll get budget and ownership. We move like a startup but execute with the discipline of a mature company. * Versatile technical expertise: We value engineers who blend startup agility with enterprise depth. You'll wear many hats—tuning infrastructure one day, refining algorithms or designing features the next—building a skillset rarely found elsewhere. * Creative autonomy: At SignalFire, creativity isn’t just valued—it’s essential. We tackle problems without clear precedents, where sharp judgment and innovation matter more than technical orthodoxy. Success means balancing analytical rigor with a bias to ship, learn, and iterate. You can read more about life on the engineering team here: ___ You can read more about life on the engineering team here: USD 170k-270k base salary/year based on experience + Carried Interest

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS ___ is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year:___. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Media Science team uses advanced analytics, machine learning, statistics, and algorithms to plan and optimize advertising dollars. We partner with our clients to translate their business goals into meaningful metrics, and buy media across all channels to drive those target outcomes. We are looking for someone to join the team and work alongside data analysts, data scientists, media strategists, media buyers, and software engineers. This role is on the “Buyer Science” team: a group of data scientists who specialize in media measurement, data analysis, experimental design, and campaign optimization. You’ll work hand-in-hand with Known’s media strategists, media channel experts, and directly with clients to elevate their media performance and drive real business value. You will also work with other data scientists to develop campaign measurement strategies, build experimentation plans, and collaborate with media planners and channel teams to ensure media allocations are built scientifically. At the Consultant level, you’ll conduct analyses in service of campaign optimization, surface insights that go beyond media metrics to incorporate first party data, and help drive business strategy. You may find yourself working with our development team (Skeptic) to help productionalize deeper and more technical approaches to common media challenges. In many cases you would work with senior managers on the team and in some cases (especially over time) you would be expected to lead projects independently. You would be expected to embrace your project management responsibilities, from defining key business objectives, to designing the measurement or analytical approach, to analyzing data, and presenting findings. You would also be expected to ensure that our clients have an amazing experience and reinforce our relationship with them as trusted and valued partners. WHO YOU ARE AND WHAT YOU HAVE • A degree from a well-regarded college or university. STEM degrees are preferred., • 3+ years of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL., • 1+ years of experience building data science software., • Experience in strategy consulting, marketing and/or marketing research, with specific passion and background in technology and/or media. This should include examples of account / client management., • Understanding of the advertising and media landscape, especially as pertains to measurement vendors and ad platforms., • Superb communication and presentation skills, with a specific fluency in talking about strategic business problems – you combine a drive for analytical reasoning with a practical understanding of what our clients in marketing are trying to achieve., • Ability to communicate technical information with both technical and non-technical stakeholders, • Experience in making appropriate research or analysis recommendations for these business problems., • Proficiency in Google products (Sheets, Documents, Slides) and/or Microsoft Office (Excel, Word, PowerPoint)., • Ability to think strategically, analytically, and proactively about diverse business problems., • Passion for managing the quality & accuracy of data sources and downstream analytics, including checking your and others’ work., • Experience working on a variety of projects simultaneously and delivering results on a deadline WHAT YOU’LL DO • Project management and ownership. While you have will account-level project management support, you will independently manage work streams you own., • Understanding the client’s overall business objectives and translating them into a campaign and measurement strategy., • Overseeing the performance of media campaigns and amazing our clients, both by meeting their targets and creating insightful narratives through bespoke reporting. Writing reports and presenting to clients in a way that is engaging and persuasive., • Developing research, measurement, or analytical approaches., • Statistical analysis of complex data sets., • Managing the ingestion and cleaning of new datasets relevant to your work / projects., • Creating reproducible work through common coding languages (Priority: Python and SQL)., • Working with other data scientists and engineers to productionalize new tools ., • Interpreting data to understand the business implications of the research. Framing analyses, stories, and slides for client media plans and reports., • Serving as the key client point of contact on campaign measurement, optimization, and data infrastructure., • Creation of interactive data tools that are delivered to clients, such as dashboards for marketing campaign performance, media experiments, or simulation tools – you would be provided training in how to create these, but prior experience with MCI is a plus SOME OF OUR PERKS • Unlimited paid time off, • 401k with company matching and no vesting period, • Annual bonuses, • Generous medical plan, • Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $120K - $130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

Company And Culture Created in 2002 by Marc Eckō, Complex is a leading global youth entertainment network showcasing the evolution of major pop culture categories, including streetwear and style, music, sneakers, and sports. Complex is a juggernaut in the content and culture space, delivering unprecedented global reach. Complex is the world’s definitive cultural commerce, content, and experiential platform. We have created an all-new operating system built for the next generation, seamlessly integrating discovery, inspiration, community, and shopping. The company represents an expansion of the original vision with a deep understanding of convergence culture and its impact on contemporary society. Whether through video, long-form editorial, or social content, Complex tells stories that engage dynamic conversation with our communities. Our internet-breaking cover stories document the heroes of culture and take them to the next level through product collaboration and ___hoppability. Complex has become experts in creating immersive environments at our IRL experiences and cultural events. ComplexCon is our flagship festival bringing together the world’s most influential brands and artists for an unforgettable weekend of style, sneakers, art, design, food, music, inspiration and more. Join us to help redefine the way people shop, while building a global marketplace that moves at the speed of culture. Complex is committed to building a high performing team that is passionate about what they do and the communities we serve. Everyone at Complex truly believes in the company and its mission; it’s a requirement for working here. There is synergy within the teams that make Complex what it is, a well-oiled machine. Employees are at the forefront of the company's success because every one of us is given the opportunity to provide suggestions, feedback, and direction. About the Role We're seeking a Data Engineer to join our team who will be responsible for designing and building scalable data solutions that power our analytics and machine learning capabilities. In this role, you'll ensure data quality, reliability, and accessibility across the organization while working with various stakeholders to translate business requirements into technical solutions. \n What You Will Do • Design and implement scalable data pipelines using SQL and Python while maintaining efficient data models, • Develop comprehensive monitoring, testing, and alerting systems to ensure data quality, • Deploy and manage data applications using AWS cloud technologies (S3, EC2, Lambda), • Support machine learning initiatives through feature engineering and data model optimization, • Build tools and processes to improve team efficiency, • Create and maintain technical documentation while collaborating with analysts and stakeholders, • Work on analytics platform enhancement and cloud infrastructure management, • Participate in cross-functional collaboration initiatives Who You Are (Required): • Experienced professional with 3+ years of programming experience with SQL for data exploration and relational modeling, • Proficient in Python with 3+ years of experience building and maintaining data pipelines, • Well-versed in OLAP databases (Snowflake or Databricks), • Knowledgeable in AWS services (S3, EC2, Lambda), • Experienced with Apache Airflow or similar orchestration tools (Dagster, Prefect), • Understanding of big data frameworks like Apache SparkStrong analytical and critical thinking skills, • Experience with data experimentation and statistical analysis Who You Are (Preferred): • Experience with Shopify data integration, • Background in machine learning feature engineering, • Knowledge of data governance and security best practices, • Experience with real-time data processing, • Familiarity with data visualization tools, • Experience working in an Agile environment What We Offer • Best in class health, dental, and vision insurance, • Healthcare FSA, • Dependent Care FSA, • Commuter Benefits FSA, • Short-term/long-term disability and life insurance, • Paid Parental leave, • 401k with 4% match, • Pet Insurance, • Legal and Identity Theft Plans, • Vacation time and sick days \n$110,000 - $120,000 a yearThe Pay Range, which consists of salary and commission, for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Complex Total Rewards offerings for employees.\n We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. Complex participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. Job Description: We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. The role is based out of our New York office. \n Key Responsibilities: • Design & Deploy Conversational / Multi-Agent LLM Solutions, • Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented., • Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues, • Multi-Modal & Multi-Model Integration, • Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions, • Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency, • Platform & Pipeline Building, • Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data, • Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc, • Optimization & Scale, • Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability, • Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve, • Ongoing Innovation & Experimentation, • Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval, • Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc. Qualifications: • Core AI/ML Expertise, • 3+ years hands-on experience building and deploying machine learning solutions at scale, • Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API, • Backend & Data Infrastructure, • Proficient in Python or a similar language for data pipelines and model development, • Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices, • Research & Problem-Solving Mindset, • Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches, • Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints, • Collaboration & Communication, • Comfortable presenting complex ML concepts to non-technical stakeholders, • Passion for iterative development—able to pivot based on user feedback and product metrics. Bonus Points: • Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins), • Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem, • Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP) Benefits: • Competitive salary - $180k-240k (NYC based), • Gym reimbursement, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • Metrocard reimbursement, • Flexible working hours \n$180,000 - $240,000 a year\n Think you’d be a great fit? Apply to learn more!

Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster. Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors. Machine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following: * End-to-End Model Development: Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver tangible value to Tennr’s customers. * Data Processing & ML Ops: Build, optimize, and maintain data pipelines and machine learning infrastructure, enhancing our operational capability as data volume and complexity grow. * System Integration: Design and implement backend workflows leveraging machine learning to automate critical processes within Tennr’s platform. * Custom Model Development: Fine-tune large language models, vision language models, and traditional computer vision models tailored specifically for medical document understanding and related tasks. * Product Collaboration: Work closely with sales, customer success, and implementation teams to integrate customer feedback into actionable improvements and innovative solutions. * Evaluation and Optimization: Develop robust evaluation frameworks to measure model performance and efficacy within complex, multi-model systems. * 3+ years of professional experience in an applied machine learning engineering role, ideally post-BS/MS. * Proven experience deploying and maintaining machine learning models in production environments, preferably within startups or rapidly evolving companies. * Practical experience fine-tuning open-source LLMs and/or traditional computer vision models. * Familiarity with robust ML Ops stacks, infrastructure management, and operational best practices for machine learning at scale. * Comfort working within complex systems that integrate multiple machine learning components, with experience building evaluation frameworks to ensure system performance. * Academic background in machine learning, mathematics, or related fields preferred. * Up-to-date knowledge of recent advancements in large language models (LLMs) and enthusiasm for tracking rapid developments in the space. * Prior startup experience or exposure to environments leveraging state-of-the-art ML models strongly preferred.

About Daydream Daydream is the first chat-based shopping agent built exclusively for fashion. Designed to redefine how people search and discover fashion, Daydream offers a personalized, conversational experience powered by advanced AI and natural language understanding. Backed by top-tier investors including Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, our team is committed to shaping the future of shopping. About the role Are you passionate about the intersection of high fashion and cutting-edge artificial intelligence? As a Data Scientist at Daydream, you will be a foundational member of the team building the brain behind our AI Personal Stylist. You will leverage the latest advancements in Large Language Models to create a truly magical, intuitive, and sophisticated conversational experience. This is a unique opportunity to solve complex technical challenges while directly shaping a product that will revolutionize how people shop online. What you’ll do: * Design, build, and deploy core features for our AI stylist using advanced techniques like Retrieval-Augmented Generation (RAG) and LLM-powered agents. * Own the end-to-end lifecycle of our models, from data processing and fine-tuning to creating robust evaluation frameworks that measure quality and accuracy. * Masterfully craft and iterate on prompts to shape the AI's persona, ensuring it embodies the voice and expertise of a world-class fashion consultant. * Collaborate closely with product, design, and engineering teams to translate user needs and creative concepts into tangible, production-ready AI features. * Champion rapid, hypothesis-driven experimentation, embracing the freedom to take calculated risks, test bold ideas, and pivot quickly to discover breakthrough user experiences. * Stay at the forefront of the rapidly evolving AI landscape, researching and prototyping new architectures and techniques to continuously elevate our product. Who you are * You have hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, programmatic API usage, and building evaluation frameworks. * You have a strong interest or background in the fashion, retail, or luxury goods industry. You possess a keen eye for aesthetics and an intuitive understanding of the user you're building for. * You possess a strong background of machine learning fundamentals, including classification, regression, clustering, and the principles behind embeddings and gradient descent. You are proficient in Python and a major deep learning framework such as PyTorch or TensorFlow. * You are a pragmatic and proactive builder who thrives in a fast-paced, autonomous environment, capable of driving projects from a simple idea to a fully realized feature. * You are an empathetic and collaborative teammate, skilled at communicating complex technical ideas and passionate about building products that users genuinely love. What we offer * Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.) * Flexible vacation and remote working * The opportunity to be part of a groundbreaking, AI-focused company * Collaborative work environment with a team of talented, fun-loving individuals. * Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology Commitment to Diversity Daydream is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, gender identity, age, national origin, or disability status.

Join our experienced roster of consultants that support Hedge Funds and Family Offices. Arootah is a personal and professional development leader in the Investment and Financial Services industry. Our mission is to provide top business advisory services to our hedge fund client base. We focus our Business Consulting on the multi-faceted needs of Hedge Funds and Family Offices. Arootah was founded by Rich Bello, the Co-Founder and COO of the industry-leading $10 billion hedge fund, Blue Ridge Capital. Rich brings more than 30 years of experience, including leadership positions at Morgan Stanley, Tiger Management, and Ernst & Young. Visit us at ___ for more information. WHO WE NEED: Arootah is searching for experienced Data Scientists to consult to our highly prestigious client base. As a consultant, you will work with our Hedge Fund and Family Office clients to provide expert advice. Having previously served in this leadership role, you have specific, hands-on experience developing the data infrastructure, tools, and analysis to bolster and accelerate the investment processfor a leading Hedge Fund or Family Office. \n What You'll Do • Best practice reviews., • Developing realistic and effective action plans., • Breaking apart goals into actionable steps., • Advising on vendor selection and oversight., • Creating and implementing policies, procedures, and control measures., • Evaluating each client’s advancement toward goal actualization through key performance indicators (KPIs) and scoring matrices., • Special projects or other areas of need. Who You Are • Scope, build, and lead the investment data science and analysis practice for the investment team of a Hedge Fund or Family Office., • Perform exploratory analyses as well as clustering and modeling of large structured and unstructured datasets in order to deploy production-ready models in the domains of lead scoring, look-a-like, retention and more, including post-deployment monitoring., • Partner closely with a firm’s investment team to turn datasets into actionable insights by attending weekly pipeline meetings and working 1:1 with investment team leads to support the sourcing, selection and monitoring of all investment targets., • Build portfolio company dashboards to track all relevant KPIs and value creation metrics for existing portfolio investments., • Track and benchmark existing companies or investment alternatives in the pipeline by building a platform to help analyze datasets across all target investments., • Maintain and update all internal datasets for comparable valuation metrics across all investment team funds and strategies., • Work closely with the Technology and IT team to develop a best-in-class technology stack to enable the firm's data science practice., • Investigate data quality issues affecting investment analytics and risk metrics; coordinate resolution with other groups as required., • Promptly respond to investment data requests from key customers, including Traders, Portfolio Managers, and investment personnel., • Continually investigate new tools and techniques, as well as emerging standards to support investment data controls and operational readiness for investment mandates. Qualifications • A Bachelor’s Degree in Computer Science, Data Science, Engineering, Information Systems, or a related field., • Master’s Degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, or other related field) is a plus., • 6+ years of proven experience as a Data Scientist at a Hedge Fund, Investment Management firm or Family Office., • Proficiency in Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker, QlikView) and Big Data technologies such as Apache Spark and cloud computing platforms., • Hands-on expertise and knowledge of emerging data science techniques, technologies, and potential business applications for Machine Learning/Artificial Intelligence., • Demonstrated understanding of financial concepts, different asset classes, investment vehicles, security types, and application of data science in financial domain., • Comfort with high volumes of unstructured and structured data, with the ability to leverage multiple datasets to draw both granular and big picture conclusions, • Strong written and spoken communications skills; ability to communicate ideas clearly and confidently, articulate issues and recommend solutions. \n$150 - $350 an hour\n Become part of a well-funded disruptor in the finance and technology space. The ability to work remotely. Flexible hours and the ability to choose your assignments. The hourly consulting rate of pay is expected to be a minimum of $150 and a maximum of $350, per hour. The hourly rate will be determined by several factors which may include, but are not limited to, the length of the individual engagement, level of difficulty, level of specialization required, professional designations, skills, and years of experience.

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 As a founding Applied AI Engineer at Valence, you'll spearhead the development of groundbreaking AI-driven leadership coaching, reporting directly to our Head of AI. This pivotal role places you at the intersection of cutting-edge generative AI and practical business applications, offering the opportunity to shape the future of workplace development. You'll pioneer AI coaching by developing and deploying advanced generative AI models that revolutionize leadership development, while crafting intelligent interactions through sophisticated natural language processing systems that provide personalized, context-aware guidance to leaders. In this position, you'll optimize our AI systems for enterprise scale, building robust and scalable solutions capable of serving Fortune 500 clients with high performance and reliability across diverse corporate environments. Collaborating closely with our product and leadership teams, you'll drive product innovation by identifying new opportunities for AI integration and constantly pushing the boundaries of what's possible in AI-assisted coaching. As a champion of ethical AI, you'll lead the charge in developing responsible AI practices, ensuring our coaching solutions maintain the highest standards of fairness, transparency, and user trust. This role presents a rare opportunity to apply state-of-the-art AI techniques to transform how businesses approach leadership development. You'll tackle unique challenges at the intersection of AI, psychology, and leadership development, creating truly innovative solutions. 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 Myers Squibb. \n What You'll Do • Architect and develop enterprise-grade conversational AI solutions for leadership coaching, • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in novel ways to advance product goals., • Evaluate and improve existing conversational (LLM-based) models across dimensions of effectiveness, scalability, and efficiency., • Implement, test, and deploy LLM-powered coaching agents that understand complex tasks, provide accurate and relevant responses, and adapt to diverse conversational contexts, • Integrate and manage diverse data sources to enhance the knowledge and contextual understanding of our AI coaching models, • Work with the product team to study user behavior and prioritize evolving product developments., • Experiment at a high velocity to optimize user experience, • Full stack - write, review and deploy code across back and front end as needed, • Streamlining data science processes to support rapid iteration and quality improvement., • Support other science and software 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 and theoretical knowledge of language systems in the areas of: conversational systems, NLP, and Information Retrieval with knowledge of relevant tools, • Strong software engineering skills with a track record of developing data-driven machine learning systems or products, • Proficiency in Python and relevant deep learning frameworks - both training (e.g. PyTorch, Tensorflow, JAX) and serving (e.g., Hugging Face TGI/Transformers/Adapters/outlines, vLLM), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and their associated ML services., • Experience with Data Science tools and processes (e.g. NumPy, scikit-learn, Pandas, PySpark), • Familiarity with ML lifecycle tools like MLflow, Weights & Biases, • Hands-on experience building Generative AI-powered applications, including Large Language Models, • Strong analytical and problem-solving skills, • Ability to communicate complex ideas and concepts effectively, • 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 Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus., • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory., • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus., • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus., • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

About ConnectPrep ConnectPrep is a forward-thinking education company dedicated to transforming student success through personalized instruction, technology, and data-driven strategies. We combine educational expertise with deep analytical capabilities to optimize outcomes across tutoring, test prep, and college advising programs. As we continue to grow, we are seeking a highly motivated and experienced Senior Data Analyst to join our team and lead strategic data initiatives across departments. Position Overview The Senior Data Analyst will play a key leadership role in building and scaling ConnectPrep’s analytics function. This individual will be responsible for designing and maintaining data systems, driving business insights through advanced analytics, and supporting key initiatives across operations, curriculum development, and marketing. This is a high-impact role for a data-driven professional who is equally comfortable with hands-on technical work and cross-functional collaboration. Key Responsibilities • Lead the design, development, and optimization of dashboards, data models, and analytical tools to support business and educational performance metrics., • Translate complex data into actionable insights and clearly communicate findings to senior leadership and non-technical stakeholders., • Own the full analytics workflow, including data extraction (SQL), transformation, and visualization using tools such as Tableau, Power BI, or Looker., • Design and evaluate A/B tests for product and content experimentation, interpreting results to inform decision-making., • Develop predictive models to support personalization and adaptive learning efforts across educational services., • Partner with internal teams—including curriculum developers, marketing, and engineering—to define data requirements and ensure consistent implementation of analytics strategy., • Mentor junior analysts and contribute to the development of internal data best practices and documentation., • Support data governance, data quality, and compliance initiatives. Qualifications • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field., • Minimum 5 years of professional experience in a data analytics or data science role, preferably in education, edtech, or a service-based company., • Advanced proficiency in SQL and Python (Pandas, NumPy, or similar libraries); knowledge of R is a plus., • Strong experience with BI tools such as Tableau, Power BI, or Looker., • Demonstrated ability to manage and communicate data projects independently, from conception through execution., • Experience designing and analyzing A/B and multivariate experiments., • Familiarity with data pipeline tools (e.g., Airflow, dbt) and data warehouse architecture (e.g., Snowflake, BigQuery) preferred., • Excellent communication skills and the ability to work cross-functionally in a collaborative environment., • Passion for education and using data to drive meaningful outcomes. Preferred Qualifications • Experience in educational data analysis or adaptive learning technologies., • Exposure to machine learning techniques and model deployment., • Prior leadership or mentorship experience within analytics teams., • Strong business acumen with an understanding of how data supports strategic goals. What We Offer • Competitive salary commensurate with experience., • Equity opportunity and performance-based incentives., • Health, dental, and vision benefits; 401(k) program., • Generous PTO and flexible work arrangements., • A mission-driven work environment where data directly impacts student growth and educational access., • Career advancement opportunities as part of a growing company. How to Apply Please submit your resume and a brief cover letter highlighting your analytics experience and interest in this role to ___. Use the subject line “Senior Data Analyst – [Your Name]”. What we are looking for: • Creative problem solving, strong math/quantitative skills, and attention to detail, • A background in Applied Mathematics, Statistics, or Computer Science, • Ability to brainstorm ways we can use our product to collect data that provides insight into the needs of our students, • Experience with SQL, Pandas, or other fast analysis language, • Experience in data analysis or building pipeline tools in Python, • Some coding background and a strong interest in technology, • Advanced Excel skills (Advanced Formulas), • Tables & Formatting, • Conditional Formatting, • Advanced Charting, • Pivot tables & Pivot Reporting, • VBA & Macros, • Using Excel Productively, • Data Tables, Simulations & Solver Why join ConnectPrep? • Get in on the ground floor of an exciting new company, with the potential to help shape our direction, • Be involved with a team that has bold ideas, with the goal of reinventing education across the globe, • Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ___. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

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

Location: Remote Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezones, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • COBOL, • Web3 / Blockchain, particularly the Ethereum ecosystem Compensation and Benefits: • Base Salary: 90,000 - 130,00 USD per annum, • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Annual Adjusted Salaries: Every January, we review and adjust pay., • Holidays: 25 vacation days per year plus any national holidays., • A day off on your birthday—because you deserve to celebrate! (If it falls on a weekend, take another day off that week.), • Learning and Development Budget: 2,000 USD per year to invest in courses, certifications, or workshops to grow in your role., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Home Office Upgrades: 300 USD every two years to refresh your workspace at home., • Flexible Working: Flexible hours to support work-life balance., • Annual Company Retreat: Once a year, we fly the whole company to an exciting global location for a week of connection, collaboration, and fun—all expenses covered., • Team Meetups: Each team comes together in person once a year to build trust, spark ideas, and share meaningful moments that go beyond the screen., • Subscription Gift: 250 USD per year to spend on a personal subscription of your choice, whether that’s a streaming service, audiobook platform, or another subscription that adds enjoyment to your life., • Work Anniversary Rewards: At Livepeer, we love recognising your journey. As you reach 3, 4, 5 years and beyond, you'll be celebrated with gift card rewards., • Celebrate Life’s Big Moments: Whether it’s a wedding, a new baby, or another major milestone, we’ll mark the occasion with a celebration gift., • Referral Bonus: Refer great talent to Livepeer and earn 100 LPT tokens when they’re hired and successfully complete their probation., • Latest Tech: Work with cutting-edge AI and the latest technologies alongside an innovative and entrepreneurial team. Join Livepeer AI and shape the future of video streaming and AI tooling.

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation. Data-driven marketing has become a central element of strategy for many companies. At Sia Partners, we recognize the growing importance of data analysis in marketing, as it provides a deep understanding of consumer behaviors, optimizes marketing campaigns, and informs strategic decision-making. Our data marketing initiatives cover a wide range of domains, including luxury, energy, FMCG, banking, and insurance. Why Join The Sia Village? Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing These are the ___ that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people. Your experience at Sia Partners will be enriched by a(n): • Entrepreneurial journey, • Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback, • Continuous learning & development opportunities, • Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives To support its growth, Sia Partners is recruiting a Data Scientist Consultant with strong expertise in Marketing, Client, and Product challenges. Attached to the Data Science BU of Sia Partners, you will support the operational teams and marketing departments of our clients in defining their data needs and analyzing their data using data science techniques. This support takes various forms: Data Analysis, Strategic Support, Machine Learning & Statistics, Data Engineering & DevOps, Data Visualization, Data Transformation & Acculturation... The use cases can thus be varied: • Customer Loyalty:, • Customer Segmentation: Deepen the understanding of customers. Identify homogeneous customer profiles using clustering techniques, thus enabling optimal personalization of marketing campaigns., • Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy., • Define hyper-personalized marketing plans., • Enhanced Customer Experience:, • Using NLP models, analyze the causes of dissatisfaction from customer feedback, and extract structured information., • Leverage the latest AI models to offer hyper-personalized customer experiences (Personalized products, Recommendation engines, Connected objects)., • Pricing & Product:, • Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies., • Capitalize on Generative AI to boost the creation of innovative products., • Geomarketing & Open Data:, • Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts., • Understand and anticipate the performance of the retail network., • Supply Chain & Operations:, • Predict sales to adjust production and inventory., • Developing or enhancing our offerings through training, working groups, internal and external communications, and R&D work., • Enhancing the firm's visibility by contributing to the publication plan (sector blogs, studies, press releases...) and marketing events., • Supporting business development by helping to define needs and participating in commercial activities., • Graduated with a master's degree in engineering or business school with a specialization in data analysis, statistics, and marketing. Ideally, you have initial experience in data analysis in a marketing context., • Excellent programming skills in Python, SQL, and data modeling., • Good knowledge and mastery of Data Science and Machine Learning algorithms (supervised methods, unsupervised methods, clustering…)., • Strong interest in marketing challenges and a good understanding of the luxury, FMCG, energy, banking, and insurance sectors., • Excellent communication and project management skills, with the ability to lead projects from conception to completion., • Proficiency in BI tools (Power BI, Tableau, Qlik…) and Python visualization tools (dash, plotly)., • Knowledge of a Cloud environment is appreciated (GCP, AWS, or Azure)., • Professional proficiency in English is required., • Joining Sia Partners means:, • Working on high-impact missions in various sectors (Energy, luxury, transportation, retail, finance…)., • Benefiting from a wide range of trainings and certifications in data, ensuring constant skill updates., • Evolving in a stimulating and dynamic professional environment with high value-added missions and internal R&D topics., • Joining a company committed to climate transition. Compensation & Benefits • Salary + Annual Discretionary Bonus, • Healthcare coverage that includes medical, dental, vision and life insurance policies, • Generous time off, • Parental leave paid at 100% of base pay for all new parents regardless of gender, • Future Moms Program, • 9 Company Holidays + 1 Floating Holiday, • 401(k) matching, • College save-up plan & college loan repayment plan, • Monthly cell phone stipend, • Commuter Benefits Compensation for this role is between $122,000 to $129,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location Our Commitment To Diversity Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential. Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas: • Gender equality (global Gender Equality Index score of 93/100 for 2023), • LGBTQ+, • Race & Ethnicity, • Working Parents Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office. Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.