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Job Description Job Overview The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows. This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. This is an on-site role with 3-5 days required in our NY office. Responsibilities Fraud & Threat Intelligence • Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns., • Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes., • Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms., • Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring., • Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar., • Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring., • Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)., • Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports., • Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information., • Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications • Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience., • 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations., • Strong proficiency in:, • SQL for data extraction and manipulation, • Python (pandas, NumPy, scikit-learn) for data analysis, • Data visualization tools (Tableau, Power BI, Looker, etc.), • Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling., • Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems., • Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills • Experience with big data technologies (Spark, Databricks, Snowflake)., • Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds., • Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK., • Exposure to API-based integrations, data enrichment pipelines, and log analysis., • Understanding of risk scoring systems, rules engines, or real-time decisioning platforms., • Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies • Analytical and critical thinking, • Statistical and machine learning literacy, • Effective communication and storytelling with data, • Investigative rigor and attention to detail, • Cross-functional collaboration, • Integrity and confidentiality, • Position is on-site in our NYC office., • Willing to relocate if not local to NYC., • No visa sponsorships are available at the moment., • Compensation Range: 140-175k base + bonus AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description We are seeking a seasoned and innovative Staff Engineer to join our engineering team. As a technical leader, you will play a pivotal role in designing and implementing high-impact solutions, mentoring team members, and driving the technical vision for our products and systems. The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for fostering collaboration across teams. Role Responsibilities: • Technical Leadership:, • Provide technical expertise and strategic guidance to the engineering team to solve complex problems and drive innovation., • Establish and communicate best practices, coding standards, and architectural guidelines to ensure high-quality and scalable solutions., • System Design and Development:, • Lead the design and development of highly scalable, reliable, and maintainable systems that align with business objectives., • Drive the architecture of new systems and optimize existing platforms for performance and scalability., • Collaborate with product managers, designers, and other stakeholders to define technical requirements and solutions., • Mentorship and Team Building:, • Mentor and support engineers of varying experience levels, fostering a culture of learning and growth., • Provide technical reviews, feedback, and guidance to ensure the delivery of high-quality code., • Cross-Functional Collaboration:, • Act as a bridge between engineering and other departments, ensuring alignment and effective communication., • Collaborate with other senior engineers and leadership to define technical roadmaps and long-term strategies., • Innovation and Problem Solving:, • Proactively identify and address technical risks and challenges to deliver robust solutions., • Research and integrate new technologies, tools, and methodologies to enhance development processes and outcomes.About You:, • 8+ years of software engineering experience, with 3+ years in a technical leadership role., • Demonstrated success in designing and delivering complex, scalable systems in a production environment., • Strong technical expertise in:, • Distributed systems, cloud architectures, microservices, and API design., • Programming languages such as Python, Java, C++, or similar., • Modern development practices, CI/CD pipelines, and DevOps principles., • Exceptional problem-solving and analytical skills., • Ability to navigate ambiguity and drive decisions that impact multiple teams or systems., • Excellent communication and interpersonal skills., • Capable of articulating complex technical concepts to technical and non-technical stakeholders., • Collaborative and team-oriented mindset., • Proven ability to lead cross-functional teams and foster a culture of collaboration and innovation.Preferred Qualifications:, • Master’s degree in Computer Science, Engineering, or a related field., • Experience in a fast-paced, high-growth environment (e.g., startups or scale-ups)., • Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Vitally is a Customer Success platform built for strategic and proactive CS teams looking to easily prevent churn and retain (and identify) their best customers. Some of the best CS teams at companies like Mixpanel, Segment, and Productboard trust Vitally to unify their customer data. We make it possible with our powerful analytics dashboards, intuitive automations, and project management tools that all together make their customer data collaborative, measurable, and actionable for all key stakeholders-- from CSMs to CEOs. We’re a high-growth, VC-backed startup who, at the end of the day, are looking to onboard people who want to have a profound impact on both the business and their own career. How? Working together to build the future of Customer Success. If you get excited about ownership, autonomy, impact, and quality output -- then we’re excited about you. We’re not here to hold your hand, but we’re here to build a great product together. Benefits & Culture: • Salary: We offer a competitive salary for your experience as well as location., • The comp band for this role starts at $250,000 and increases depending on the skill and seniority of the candidate., • Equity: We want every team member invested in the company’s success and are happy to be generous with equity., • Benefits:, • 100% of health/dental/vision insurance premiums covered by us., • 401k with a company match., • Commuter benefits., • Unlimited PTO with a minimum we require you to take off. Please relax and recharge!, • Flexible work hours and work-from-home policy., • Yearly education stipend. CkH84fgSay

Job Description We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • Keep abreast of developments in the field Requirements • Proven experience as a Machine Learning Engineer or similar role, • Understanding of data structures, data modelling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Ability to write robust code in Python, Java and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills, • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Job DescriptionAbout SmartAsset: SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator's list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. About the team: SmartAsset's Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You'll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. About the Job: SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you'll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You'll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Responsibilities: Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations)., • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions., • Lead and take ownership of assigned technical projects in a fast-paced environment., • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure.Skills/Experience you have:, • Bachelor of Science degree in Computer Science or equivalent practical experience., • 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines., • 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks., • Strong expertise in SQL, including advanced query optimization and performance tuning., • Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables., • Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques., • Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications.Skills/Experience preferred:, • Proven experience designing and building near real-time data processing systems., • Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health., • Familiarity with modern data orchestration platforms such as Argo or Airflow., • Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks., • Demonstrated ability to identify and adopt new technologies that improve data quality and reliability., • Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting., • Proven track record of mentoring junior team members., • Experience with data ingestion tools like Singer is a plus., • Knowledge of analytics tools such as Tableau, Plotly, and Pandas., • Experience in the financial services industry. Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles) Available Benefits and Perks:, • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Data Scientist, you'll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Key Responsibilities: • Contribute to the development of predictive and statistical models addressing business-critical challenges across diverse domains., • Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development., • Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability., • Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact., • Clean, transform, and prepare data from diverse sources, ensuring high-quality datasets for analysis., • Build dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical stakeholders., • Stay current with emerging data science methods and tools (e.g., generative AI, LLMs, causal inference) and apply them through prototyping. Qualifications: • 5+ years of experience applying data science or advanced analytics in a professional setting., • Solid understanding of statistical modeling, machine learning fundamentals, and experimental design., • Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting., • Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow)., • Strong experience with SQL and data manipulation across large datasets., • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus., • Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments., • Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science / ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar)., • Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research or applied work at meetups, workshops, or industry conferences., • Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an onsite position based in Manhattan in New York City. Compensation The base salary for this position is $190,000-$200,000 USD. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview The Research Engineer plays a critical role in advancing our industrial and energy modeling, machine learning, and analysis capabilities, supporting customers in achieving their economic, operational, and sustainability goals. These modeling and analysis capabilities are mission critical and underpin the knowledge base for CVector's AI Agents. They ensure customers are receiving robust, reliable recommendations from our AI Agents that are bound by real equipment and facility constraints. You will report to the CTO and develop and implement models and analytical tools for standardized products and bespoke customer needs. Specifically, you will be developing and deploying CVector's techno-economic analysis (TEA) and linear programming (LP) models to inform and recommend to our customers how to operate their facilities more profitably, with lower energy costs and reduced emissions. You will also develop and work with our library of ML and AI time series algorithms for anomaly detection, forecasting, and predictive equipment failure. This role is ideal for an experienced energy modeler or data scientist with substantial experience in the energy or industrial sectors. We seek someone who thrives in startup environments and enjoys cross-functional work that supports founders, investors, customers, and team members alike. Responsibilities As a Research Engineer, you will collaborate with our team and be responsible for: • Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience, • Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts., • Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure., • Developing and using our algorithm training architecture to ensure quality results for our customers., • Developing and deploying TEA and LP models to optimize equipment and facility operations., • Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans., • Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs., • Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers. Our current modeling and analysis stack is Python-based and includes modern CI/CD workflows managed through GitHub. A strong candidate will bring many (but not necessarily all) of the following: • 5+ years of experience and/or advanced degrees in industrial or energy analytics and techno-economic analysis or ML and statistics applied in industry, preferably in an early-stage or growth-stage company, • Demonstrated strength in Python, • Working knowledge of energy and commodity markets, • Comfortable managing multiple analytical projects at once, • High attention to detail and ability to prioritize independently in a low-structure, high-trust environment, • Excitement to utilize the latest AI tools to accelerate your work, while maintaining an eye on quality, • Ability to rapidly prototype while acknowledging limitations CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable Why This Role Matters at CVector CVector's TEA models and time series algorithms inform operators at $100+ million industrial facilities where changes in operations can results in millions of dollars of savings. We need the best and brightest team to ensure our models are top of the line and stress tested against corner cases that could lead to poor recommendations. If you enjoy deeply understanding physical systems, advocating for customers, and driving real-world decisions, this role will give you both ownership and impact.

Job Description Electrical, Controls Engineer - Industrial Electro-Mechanical Machinery Industry Focus: Industrial Machinery I Electromechanical Equipment I Custom Automation Systems Robotics I Industrial Controls I Food and Beverage Manufacturing I Packaging Equipment I Water and Wastewater Treatment I Process Equipment I OEM Machine Building We are currently seeking to identify (2) Electrical Controls Engineers to join a well-established and growing industrial equipment manufacturer with over 50 years of engineering excellence. One opportunity is ideal for a junior to mid-level candidate with at least 2+ years of relevant experience, and the other is targeted for a senior-level engineer with more years of hands-on experience in electrical design, programming, controls, and industrial automation. This is your chance to join a team that builds large-scale electromechanical systems from concept through completion. From food production lines to custom process and water treatment equipment, you'll be working on machinery that makes a real-world impact. Responsibilities: · Design, develop, and program industrial electrical control systems to meet engineering and client requirements · Create electrical schematics, wiring diagrams, and panel layouts using AutoCAD Electrical or similar design software · Specify, select, and configure control system components such as PLCs, VFDs, relays, sensors, and breakers · Program PLCs and HMIs (Allen-Bradley, Siemens, or similar platforms preferred) · Layout and design control panels and motor control centers (MCCs) · Perform validation testing and troubleshoot electrical systems during build and final assembly · Collaborate closely with mechanical engineers, software engineers, and production teams to ensure full integration · Provide technical documentation including BOMs, manuals, wiring lists, and startup procedures · Travel as needed for commissioning and system validation (minimal and planned in advance) · Stay current with evolving industry technology, best practices, and safety standards Qualifications: We are hiring for two experience levels. Candidates must meet the criteria for one of the following profiles: Junior to Mid-Level Role: · Minimum 2 years of experience in electrical controls, panel design, or related engineering environment · Experience with AutoCAD Electrical or similar drafting tools · Working knowledge of industrial components and safety regulations · Basic PLC programming knowledge or exposure to automation software · Strong interest in hands-on engineering, testing, and troubleshooting · Bachelor's degree in Electrical Engineering or equivalent hands-on experience Senior-Level Role: · Experience in electrical controls and industrial automation · Proficiency in AutoCAD Electrical and strong PLC/HMI programming experience · Deep understanding of UL, NEC, NFPA 70E, and electrical safety standards · Demonstrated success leading projects or contributing to complex custom machinery builds · Ability to mentor junior team members and drive design improvements · Background in electromechanical system design and manufacturing support What Makes This Opportunity Unique: · Privately owned and financially strong company with over 50 years of proven success · All engineering and manufacturing is done in-house at our US-based facilities · Recession-resistant with projects in food processing, water treatment, packaging, and more · Work directly on high-impact custom systems from design to completion · Short lead times and an integrated design-build process · Access to a seasoned engineering team for mentorship and collaboration · Competitive salary structure with performance bonuses · Opportunities for growth into technical leadership or project management · Continued access to learning and development in electrical, automation, and mechanical engineering · Team-focused culture that values practical problem-solving, quality, and innovation Traits That Set You Up for Success: · Detail-oriented and self-driven with a strong sense of accountability · Hands-on mindset and curiosity to understand how systems work · Enjoy working on one-off and custom systems that challenge your engineering creativity · Collaborative and open communicator, ready to share and receive feedback · Willing to dive into troubleshooting and help bring machines across the finish line · Honest, reliable, and committed to continuous improvement Take the Next Step in Your Career: If you are passionate about industrial electrical systems and automation, whether you are building your skills or bringing a wealth of experience, we want to hear from you. These roles offer the chance to work on meaningful projects with a stable, growing company where your contributions matter every day. Apply now to explore how you can be a part of building the next generation of industrial automation and electromechanical systems. Equal Opportunity Commitment: We and our client are equal opportunity employers and welcome all qualified applicants regardless of race, religion, gender, age, disability, veteran status, or any other protected classification.

Job Description About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health., • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization., • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training., • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement., • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs., • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products., • Master's or Ph.D. in a related field with a strong academic background., • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models., • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning., • Proficiency in data manipulation, feature engineering, and model evaluation., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Excellent communication skills and the ability to collaborate effectively within cross-functional teams., • A passion for continuous learning and staying updated with the latest trends and technologies in data science., • Strong problem-solving abilities and the capacity to translate complex data into actionable insights. Required knowledge of: • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • Data Warehouses (BigQuery, Snowflake, Redshift), • LLMs / AI APIs, • Git / GitHubNice to have:, • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript, • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics., • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement., • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures., • Nice to have - familiarity with adstock/saturation curves and budget optimization Our interview process includes, but is not limited to the following: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $145,057-$175,256 * Level 2 - Possesses developing capabilities * $175,256-$205,456 * Level 3 - Possesses notable capabilities. * $205,456-$235,655 * Level 4 - Possesses strong capabilities. * $235,655-$265,855 * Level 5 - Possesses advanced capabilities. * * $265,855-$296,054 About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

Job Description About the Role We are seeking an exceptional AI Engineer to join our growing team and take a leading role in building and evolving our internal AI-powered agent platform used across the organization. In this role, you will design, build, and improve AI-powered applications that integrate large language models (LLMs) with internal tools, SQL databases, advertising APIs (Google Ads, Meta), and stateful code execution environments. You will play a critical role in improving reliability, context orchestration, evaluation maturity, and expanding Rai into document and workflow automation use cases. Your work will directly impact 200–500 employees and potentially clients, making AI a core productivity multiplier across the organization. Responsibilities include but are not limited to: • LLM Application Development Design, build, and maintain AI-powered applications leveraging LLM APIs, tool calling, and structured outputs., • Agent & Tool Orchestration Develop and improve agent architectures that integrate tools such as SQL execution, Python code execution, and marketing platform APIs through MCP-style integrations., • Context & Memory Management Design and refine multi-turn context handling, session memory strategies, and prompt structures to improve response reliability and reduce hallucinations., • Reliability & Guardrails Implement safeguards for tool execution, SQL queries, and code execution. Improve retry logic, structured validation, and hallucination mitigation strategies., • Evaluation & Quality Assurance Contribute to building structured evaluation frameworks for LLM-powered systems, including multi-turn testing, regression testing, and task-based success metrics., • Product Expansion Support expansion of Rai into document generation, tables, slide decks, and potential Google Workspace integrations., • Collaboration Work closely with Machine Learning Engineers, Product Managers, and Full-Stack Engineers to ensure AI systems are robust, maintainable, and aligned with business goals., • Strong programming skills in Python with experience building production systems., • Experience building applications powered by LLM APIs (OpenAI, Anthropic, Vertex AI, etc.)., • Deep understanding of:, • Context windows and token limits, • Multi-turn conversation behavior, • Tool/function calling, • Structured outputs (JSON schema), • Prompt design and failure modes, • Experience integrating external APIs into production systems., • Proficiency in SQL., • Experience working with cloud platforms (GCP, AWS, or Azure)., • Strong problem-solving skills and ability to debug complex system behavior., • Experience designing evaluation frameworks for LLM-powered systems., • Understanding of embeddings, vector search, and RAG architectures., • Experience building agent or multi-agent workflows., • Experience with stateful execution environments or sandboxed code execution., • Experience with document automation (Google Docs, Slides, PDFs)., • Experience building internal developer tools or productivity platforms., • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • LLMs / AI APIs, • Data Warehouses (BigQuery, Snowflake, Redshift), • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $145,057-$175,256 * Level 2 - Possesses developing capabilities * $175,256-$205,456 * Level 3 - Possesses notable capabilities. * $205,456-$235,655 * Level 4 - Possesses strong capabilities. * $235,655-$265,855 * Level 5 - Possesses advanced capabilities. * * $265,855-$296,054 About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. Master's degree in Computer Science, Machine Learning, AI, or a related field.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in New York. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR e0ReZA0xCQ

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. To ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive workplace. As a Senior Software Engineer, you will also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NYAbout the team: Our Audience Intelligence crew is a band of data-obsessed engineers, ML specialists, and product thinkers who refuse to settle for fragmented customer signals. We're architecting the unified identity graph and feature platform that gives every team at StubHub a near-real time, 360°ree; view of each fan. That way decisions are powered by facts, not hunches. In short, we turn noisy clickstreams into high-fidelity fuel for personalization at scale. The challenge we're cracking: today, user data is scattered across devices, sessions, and tables. We're building the pipelines, identity resolution, and enrichment layers that stitch it all together, update it in near-real time, and expose it as clean, versioned features any model or campaign can trust. When we're done, marketing tech, ranking, and experimentation teams will target with surgical precision instead of a one size fits all experience. Because a message for everyone is a message for no one. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineersWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the role This role focuses on designing and building intelligent systems that power creative workflows for short-form video. You’ll help shape how AI-driven experiences reduce friction, accelerate learning, and unlock new creative possibilities for our users—while experimenting with emerging models and techniques to bring these experiences to life in production. Applied AI engineers work across product, machine-learning, and systems engineering—owning meaningful problems end-to-end and helping define how our models are used across the product. Responsibilities * Build and ship end-to-end AI-powered products and systems that meaningfully improve creative workflows, balancing quality, performance, and reliability * Integrate state-of-the-art models, combining internal research and external capabilities to unlock new product experiences * Measure and improve system quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration * Design the systems that support intelligent behavior, including how models gather context, make decisions, and operate efficiently at scale What Makes You a Great Fit * 5+ years of professional industry experience * A track record of designing and developing ML systems in production * Deep experience with context engineering: RAG systems, token optimization, context management at scale * Experience building evaluation systems and agentic infrastructure (context gathering, tool selection) * Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space * Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end Even better if... * You have worked with multi-agent architectures * You have experience fine-tuning LLMs for specific use cases * You have a pulse on where generative media and agentic AI technology is going * You are grounded, collaborative, and willing to do whatever it takes to help the team win * You have been a startup founder or an early engineer at one Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $185K - $285K

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

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Senior Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 5+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++) #LI-DL1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – Seattle, WAAbout the Team:The Supply team's mission is to simplify the lives of our large-ticket sellers by making it effortless to onboard and manage their inventory across the entire event lifecycle. We help sellers reduce operational overhead and maximize revenue through intelligent automation, streamlined workflows that move at marketplace speed, and fast, dependable experiences. Behind the scenes, we design and operate enterprise-grade, high-throughput systems that power core seller operations and handle large, dynamic datasets at scale. Our work spans multiple layers of the stack - from robust back-end services to high-performance, user-focused interfaces - ensuring sellers have a reliable, end-to-end platform they trust to run their business.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements for backend code across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Aliso Viejo, CA or Seattle, WAAbout the Team:The Supply team's mission is to simplify the lives of our large-ticket sellers by making it effortless to onboard and manage their inventory across the entire event lifecycle. We help sellers reduce operational overhead and maximize revenue through intelligent automation, streamlined workflows that move at marketplace speed, and fast, dependable experiences. Behind the scenes, we design and operate enterprise-grade, high-throughput systems that power core seller operations and handle large, dynamic datasets at scale. Our work spans multiple layers of the stack - from robust back-end services to high-performance, user-focused interfaces - ensuring sellers have a reliable, end-to-end platform they trust to run their business.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across both frontend and backend systems within the Supply organization's suite of products and platforms., • Provide technical leadership and hands-on execution for key initiatives, focusing on feature delivery, stability, and reliability., • Collaborate with cross-functional stakeholders to translate product requirements into technical roadmaps and actionable engineering plans., • Partner with teammates to define and uphold engineering best practices, ensuring consistency, maintainability, and quality across the codebase., • Manage priorities, timelines, and deliverables independently while maintaining a high technical bar., • Mentor and support team members, helping to elevate technical skills and foster a culture of inclusion, innovation, and excellence.What You've Done:, • 5–6+ years of professional experience in software development, delivering high-quality, production-grade system, • Extensive experience developing robust, mission-critical applications using one or more general-purpose programming languages such as Java or C#., • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • Strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to quickly learn and adapt to new programming languages, frameworks, and tools., • Experience owning projects end-to-end, from ideation and design through implementation, deployment, and ongoing maintenance., • Demonstrated success in mentoring and supporting junior engineers, fostering growth, and promoting engineering excellence.What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NYAbout the Team:The Sponsored Listings team's mission is to enhance the discovery experience on the platform by advertising high quality, relevant products in context throughout the product. We're building StubHub's ad platform engine - spanning real-time bidding, auction mechanics, ranking and relevance models, pacing algorithms, and inventory-quality controls - all operating at marketplace scale. Join us to help drive a strategic initiative for StubHub and shape a greenfield platform from the ground up.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements for backend code across all StubHub's platforms and products, resulting in high-quality outcomes, • Provide technical leadership and hands-on execution for key initiatives, focusing on feature delivery, stability, and reliability., • Collaborate with cross-functional stakeholders to translate product requirements into technical roadmaps and actionable engineering plans., • Partner with teammates to define and uphold engineering best practices, ensuring consistency, maintainability, and quality across the codebase., • Manage priorities, timelines, and deliverables independently while maintaining a high technical bar., • Mentor and support team members, helping to elevate technical skills and foster a culture of inclusion, innovation, and excellence.What You've Done:, • 5–6+ years of professional experience in software development, delivering high-quality, production-grade systems, • Extensive experience developing robust, mission-critical applications using one or more general-purpose programming languages such as Java or C#., • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • Strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to quickly learn and adapt to new programming languages, frameworks, and tools., • Experience owning projects end-to-end, from ideation and design through implementation, deployment, and ongoing maintenance., • Demonstrated success in mentoring and supporting junior engineers, fostering growth, and promoting engineering excellence.What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job Description Senior Software Engineer – AI II Recruiter: Symbiotic Services Are you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is recruiting a Senior Software Engineer – AI II for an opportunity with a leading global organization. This role combines innovative, fast-paced engineering with the scale and stability of a large enterprise, focused on delivering AI-powered solutions that modernize tax and accounting workflows through automation and intelligence. About the Role In this role, you will: * Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents * Ensure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practices * Proactively identify risks and performance issues, making data-driven recommendations and implementing corrective actions * Collaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectives * Lead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use cases * Review existing systems and recommend improvements to scalability, performance, and overall architecture * Stay current with evolving AI technologies and promote continuous learning and adoption across the team Required Qualifications * 5+ years of software engineering experience, including 2+ years focused on AI/ML * Strong proficiency in Python, with experience building web applications, distributed systems, and APIs * Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow * Deep understanding of AI systems, including RAG architectures, AI agents, and agent-based systems * Experience integrating AI models into production environments using APIs and data pipelines * Familiarity with vector databases, embeddings, and search-based AI solutions * Strong knowledge of machine learning fundamentals, model evaluation, system design, and end-to-end MLOps * A passion for learning new technologies and advancing modern engineering practices Preferred Qualifications * 2–3 years of experience designing, deploying, and operating scalable cloud services using AWS (e.g., Lambda, S3, EC2) What’s in It for You * Hybrid Work Model: Flexible schedule with a combination of in-office and remote work * Work-Life Balance: Supportive flexibility programs, including work-from-anywhere options for part of the year * Career Growth: Strong focus on continuous learning, skill development, and advancement in an AI-driven environment * Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health resources, retirement savings, tuition reimbursement, and incentive programs * Inclusive Culture: A collaborative, values-driven workplace committed to inclusion and belonging * Social Impact: Paid volunteer time and opportunities to contribute to community and ESG initiatives Symbiotic Services is proud to represent this opportunity and is committed to delivering a professional, confidential, and inclusive recruitment experience.

Job Description ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. Salary Range $150,000 - $180,000 USD

Job Description This is not a role for 2070. About Xponentiate: Xponentiate is a healthcare recruitment partner with deep industry expertise. We connect top talent with the right opportunities through a smart, efficient hiring process. With proven experience building organizations from the ground up—including C-level hires—we’re dedicated to shaping the future of healthcare together. ecares health, Principal Software EngineerAbout Us Healthcare is broken, especially in underserved communities like the Bronx where 66% of patients are on Medicaid. Fragmented systems are leading to poor health outcomes and extensive financial burden. This is what inspired the inception of ecares health. We’re a healthcare tech startup spun out of Essen Health Care, one of the largest multispecialty medical groups serving the Bronx and surrounding communities. We work hand-in-hand with doctors and healthcare operators to build infrastructure that connects the entire patient journey, from engagement to scheduling, from clinical recommendations to care management, and from actionable tasks to health outcomes. Our goal is to bring concierge healthcare to underserved communities. Requirements The Role As product engineer at ecares health, you’ll sit at the intersection of product strategy, data engineering, and client operations. You’ll maintain and enhance a ‘living prototype’ codebase that applies complex clinical and operational logic, enabling our clients to make data-driven decisions before changes move into production on our core platform. You’ll also own analytics for measuring product success and operational efficiency. This is a unique role that blends product thinking, technical execution, and operational problem-solving. You’ll model scenarios for operations and clinical teams, build tools to quantify product impact, and dig into messy healthcare to surface insights for operational teams. Responsibilities · Own and improve our clinical logic codebase (Python) - independently modify logic, validate clinical algorithms on real-world data, and evolve the system as we migrate features to our core platform · Run clinical and operational simulations and "what-if" analyses to help clients test logic and strategies before developer implementation · Collaborate with clinical and operational teams to perform exploratory analyses answering key operational questions · Work closely with engineering to ensure they understand data context when building features · Identify and mitigate data integrity issues by working with operations teams and understanding their workflows Must-Haves · Own and improve our clinical logic codebase (Python) - independently modify logic, validate clinical algorithms on real-world data, and evolve the system as we migrate features to our core platform · Run clinical and operational simulations and "what-if" analyses to help clients test logic and strategies before developer implementation · Collaborate with clinical and operational teams to perform exploratory analyses answering key operational questions · Build and maintain reports to track product KPIs and operational metrics · Work closely with engineering to ensure they understand data context when building features · Identify and mitigate data integrity issues by working with operations teams and understanding their workflows Nice-to-Haves · Healthcare or clinical data experience (HER systems, claims data, clinical workflows) · Familiarity with data visualization tools · Statistical analysis or basic machine learning knowledge · Experience with Azure or other cloud platforms Benefits Stage Pre-seed, bootstrapped by our design partner clinic.

Job DescriptionHinge 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 millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Joining Hinge’s AI Platform Core team offers a unique opportunity to help define and contribute to a growing ML platform with the goal of accelerating the development, deployment, and operations of AI enabled features on Hinge. If you are excited by the idea of working on challenges ranging from maturing and scaling our training and serving frameworks to enable millisecond real-time predictions and models that continually learn at scale, providing automatic model performance monitoring & debug frameworks, and building Platforms for architecting and evaluating generative AI & Agentic systems, then read on! With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted. You'll collaborate across our product and platform teams, as well as with external stakeholders like data science and backend engineering. You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems. Being part of a small yet impactful team means having a broad scope of responsibility. As the role of ML at Hinge is only becoming more impactful, this role provides you with a chance to grow in impact and scope across the company. This is an exciting opportunity to own and help define the future of machine learning within a growing and maturing team!Responsibilities • Own or contribute to technical designs for the feature platform, training platform, serving platform, AI observability platform and GenAI Platform and underlying operational infrastructure to enable Product impact., • Develop, maintain, and enhance frameworks for AI/ML model development and deployment while establishing and driving best practices in MLOps / GenAI engineering., • Design, advocate, and implement for usability, reliability, scalability, operational excellence, and cost management while delivering incrementally., • Collaborate closely with ML Engineers, Data Scientists, Data Engineers and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers, Backend Engineers and Product Managers on current and up and coming tools and technologies for ML operations & GenAI product development through presentations and documentation., • Help design and architect an AI platform that adheres to the principles of responsible AI (Authenticity, Transparency, Equity) and builds privacy compliance into the platform., • Lead build vs buy discussions on technologies that underpin the Platforms we serve., • Participate in on-call and Incident Management processes. What We're Looking For, • 4+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems., • 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., • 1+ year of experience for Senior designing and developing online and production grade ML systems., • A degree in computer science, engineering, or a related field., • Strong programming skills: Proficiency in languages like Python, Go, or Java., • System design & architecture: Ability to design scalable and efficient ML systems., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure., • ML knowledge: A basic understanding of ML algorithms, techniques, and best practices., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage, • 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 #Hinge

Job DescriptionThe Role We are looking for a well-rounded AI/ML Systems Engineer to join our team and build LM Studio with us. The ideal candidate loves working at the intersection of machine learning and systems engineering, is a prolific problem solver, and is passionate about building great products. Specifically, you will build and evolve on-device inference engines and integrations for local LLMs and other AI technologies in LM Studio. In this role you will design and maintain the runtime that powers on-device model inference, ship day-0 support for new models, and optimize performance across a wide range of hardware configurations. You will work closely with model authors and upstream open-source communities (e.g., llama.cpp, MLX, and more) to ensure LM Studio users have access to the latest and greatest AI experiences. This role might be for you if you are passionate about living at the boundary between models and systems, and you care deeply about shipping great local AI-powered experiences for both end users and developers. Responsibilities * Build and maintain world-class on-device inference engines for LLMs and other models. * Integrate emerging AI/ML technologies as production-ready features in LM Studio. * Develop with and contribute to OSS engines like llama.cpp, MLX, and more. * Collaborate closely with model authors to ship day-0 support for new models. * Profile, debug, and improve process memory, CPU usage, and GPU usage. * Be an excellent communicator, contributor, and collaborator. Qualifications * 3+ years of experience with C++ and Python. TypeScript experience is a plus. * 2+ years of experience with machine learning frameworks and model inference. * Excellent problem-solving and communication skills. * Strong understanding of operating systems. * Strong understanding of software system design. * Into local LLMs and have tinkered with them in LM Studio. * Passionate about a great user and developer experience. Element Labs We aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love. Our products include the LM Studio desktop app, our developer SDKs: lmstudio-js and lmstudio-python, our CLI lms, MLX engine mlx-engine for M-chip Macs, venvstacks which enables us to ship Python-based software, the collaboration Hub for individuals and teams, and more currently being built. Compensation Range: $175K - $275K

Job Description Be Part Of A High-Performing Risk Technology Team: This opportunity sits within a leading global financial institution’s Risk Technology division, supporting enterprise-scale initiatives across market and credit risk platforms. The team operates at the intersection of advanced analytics, artificial intelligence, and large-scale data engineering, enabling smarter decision-making and operational efficiency across the organization. The Risk Technology group is known for delivering secure, scalable, and forward-thinking solutions within a highly regulated financial environment. With a focus on innovation and modernization, the team is actively integrating generative AI, conversational AI agents, and intelligent automation into enterprise systems. The environment is collaborative, fast-paced, and deeply technical—bringing together AI engineers, data engineers, application developers, and risk stakeholders to build next-generation AI capabilities on Azure. What’s In Store For You: • Exposure to enterprise-grade AI initiatives within a global banking environment., • Opportunity to design and deploy cutting-edge generative AI and conversational AI solutions., • Collaboration with cross-functional teams across Risk, Engineering, and Application Development., • Design, develop, and deploy intelligent conversational AI solutions leveraging Azure AI technologies and Databricks., • Build and manage enterprise-grade AI agents to support automation and advanced conversational use cases., • Develop reusable AI components and pipelines within Azure AI Studio and Databricks for scalable deployment., • Integrate AI services into web and enterprise applications using Python frameworks such as FastAPI, Django, and Flask., • Create secure RESTful APIs, async workers, and SDK-based integrations for AI services., • Architect and maintain secure MLOps pipelines including model registry controls, deployment security, and runtime monitoring., • Monitor and optimize LLM and NLP model performance for reliability, scalability, and accuracy., • Ensure compliance with data privacy, security, and enterprise governance standards., • 10+ years of experience in software engineering, AI engineering, or machine learning engineering roles., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • Proven hands-on experience with Azure AI services including Azure OpenAI, Azure AI Studio, Azure Bot Service, Cognitive Services, and Copilot., • Strong experience with Databricks (including Databricks Genie) and enterprise AI agent development., • Deep understanding of NLP, LLM architectures, prompt engineering, and model evaluation techniques., • Strong Python programming skills with experience in FastAPI, Django, or Flask., • Experience building secure REST APIs and integrating AI services into enterprise applications., • Expertise in MLOps including CI/CD, model deployment, monitoring, and runtime security in Azure environments., • Experience with Azure Machine Learning and Azure DevOps/GitHub CI/CD pipelines., • Familiarity with MCP for secure AI integration with external APIs and tools., • Microsoft Certified: Azure AI Engineer Associate (or equivalent)., • Databricks Certified: Generative AI Engineer Associate (or equivalent)., • Experience with prompt lifecycle management and AI model governance., • Experience working in financial services or other regulated industries., • Strong communication skills and ability to operate in cross-functional agile teams.

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you'll operate across the stack to bring ideas to life. You'll be hands-on with data, APIs, UI components, and machine learning integrations, collaborating closely with cross-functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you. Responsibilities • Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.Basic Qualifications, • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 3+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development., • Deep experience writing scalable backend services in Go, ideally within microservice-based architectures., • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Experience designing and integrating RESTful APIs and working with distributed systems., • Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run., • Understanding of software engineering fundamentals including system design, data structures, and algorithms., • Strong attention to detail, debugging, and performance optimization skills across the stack., • Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design., • A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices.Nice to Have / Bonus Qualifications, • Master's degree in Computer Science, Engineering, or a related technical field., • Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS), • Familiarity with Ads infrastructure standards, • Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis., • Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $150,000 - $180,000 + equity Salary Range$175,000—$225,000 USD

Job Description Senior Machine Learning Engineer - up to $200k base + equity We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders. We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise. The Role • Collection — Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection., • Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data., • Infrastructure — Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data., • Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy. The Essentials • 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent, • Deep expertise in Python development, • Experience in machine learning / natural language processing, • Proven history developing and maintaining production-grade software, • A passion for addressing the climate crisis through high quality research and data, • Interest in working for a fast-moving startup with a small, international team, • A BSc degree in Computer Science, Engineering or other relevant field A Plus • Experience using Django and AWS, • A successful history of manipulating, processing and extracting value from datasets, • Experience working with Jira / Agile framework, • Experience using Bitbucket Pipelines, • Working understanding of climate tech sectors Our Offer • Opportunity to work and learn at a fast-growing climate tech startup, • Hybrid office based in New York, • Generous base salary + stock options, • Flexible working hours, • 20 days PTO + federal holidays, • Health coverage and 401(k)

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. Your Team As a Senior/Staff Software Engineer in our Data Engineering group, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling data processing and analysis in research and production environments, building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.Responsibilities • Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more, • Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data, • Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines, • Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates., • Provide technical guidance to engineering and research staff, • Provide mentorship and support to help grow other team members and up-level the teamRequirements, • Computer Science / Engineering bachelor’s degree (or equivalent), • 5+ years of relevant software engineering experience, • Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale, • Experience working with large codebases and building modular, extensible, and maintainable software, • Expertise in a modern programming language, such as Python, Go, Java or C++, • Hands-on experience developing in a Linux/UNIX environment, • Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure, • Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)Preferred Qualifications, • Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker), • Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm), • Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena) #LI-MB1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (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. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. 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

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer for Experimentation Platform, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CAAbout the team: The Experimentation Platform team is a cross-functional group of engineers, data scientists, and product leaders dedicated to building a world-class experimentation platform. Our mission is to empower teams across the company to make smarter, data-informed decisions by enabling rapid, reliable, and scalable testing. We partner closely with product, design, and analytics teams to uncover insights, validate ideas, and drive measurable impact. You'll be hands-on in building and evolving StubHub's experimentation platform, working closely with engineers and data scientists to deliver reliable, scalable tools that empower teams to test, learn, and make better decisions. We value curiosity, collaboration, and rigor. Whether it's designing intuitive tools for experiment setup, ensuring statistical correctness at scale, or advancing methodologies in causal inference, we approach every challenge with both creativity and precision. Joining our team means shaping how the organization innovates, learns, and grows – while pushing the boundaries of what's possible with experimentation. What You'll Do • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineersWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer at Radical, you’ll build the core software that powers our autonomous lab and AI platform. This is a generalist role: you might work on backend services, agent tooling, data + orchestration, internal platforms, and the infrastructure that keeps everything secure, observable, and reliable in production. We work in a deeply technical and cross-discipline domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world. You may not have done all of the things we mention on this posting, but the prospect of learning and owning these technologies excites you.About You • Strong fundamentals: you can design, build, and ship production software end-to-end., • Experience with modern backend development (Python, Go, Rust, or similar)., • Familiarity with concurrent and asynchronous programming, including event loops, cancellation semantics, bounded queues, and task orchestration under failure modes. You know how to handle timeouts, retries, and device-level race conditions., • Comfort with distributed systems realities: timeouts, retries, async/concurrency, partial failure, debugging in production., • Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes., • Familiarity with Kubernetes and containerization., • Strong engineering taste: you prioritize correctness, maintainability, and clear interfaces., • Agent capabilities and “tools” (e.g., internal/external API integrations, code execution, scientific literature retrieval, workflow automation)., • Scientific workflow orchestration (e.g., Bayesian optimization loops, experiment scheduling, long-running job execution, retries/idempotency)., • Pipelines for ingesting, storing, and transforming data used by models and LLMs., • Internal platforms that make engineers faster: developer tooling, SDKs, shared services, service templates., • Observability and reliability systems: structured logs, metrics, tracing, debugging workflows (OpenTelemetry, Prometheus/Grafana, etc.)., • Hybrid infra (cloud + on-prem), containerization, orchestration, and infrastructure-as-code.Pluses, • Experience with agentic systems / LLM workflows (LangChain, PydanticAI, tool-calling, context management)., • Infrastructure experience: Docker, Kubernetes, Terraform/CloudFormation, cloud + on-prem deployments., • Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and/or DevSecOps practices., • Experience with embedded protocols (e.g., serial, I²C, Modbus), device virtualization, or microcontroller firmware., • Strong observability experience (Datadog, Prometheus, Grafana, ELK, tracing) ., • Contributions to systems for robotics, automation, or manufacturing infrastructure., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications., • Comfort designing reproducible and testable systems for devices that don’t always behave perfectly.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $153,000 - $179,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description Senior Software Engineer – AI I Recruiter: Symbiotic Services Are you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is seeking a Senior Software Engineer – AI for a high-impact opportunity with a leading global organization. This role blends innovative, startup-style problem solving with the scale and stability of an established enterprise, focusing on AI-powered solutions that enhance tax and accounting workflows through automation and intelligence. About the Role As a Senior Software Engineer – AI, you will: * Design and implement complex AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents * Build and maintain robust testing frameworks, monitoring solutions, and ethical AI practices to ensure system quality, reliability, and compliance * Proactively identify risks and performance issues, using data-driven insights to recommend and implement improvements * Collaborate closely with Product, UX, and Data/Science teams to align AI capabilities with business goals and translate requirements into technical solutions * Conduct proof-of-concepts (POCs) to assess emerging technologies and validate innovative AI use cases * Evaluate existing systems and propose architectural, scalability, and efficiency enhancements * Continuously stay current with AI advancements and promote adoption of relevant tools and technologies Required Qualifications * 5+ years of professional software engineering experience, including 1+ year focused on AI/ML * Strong proficiency in Python, with experience developing web applications, distributed systems, and APIs * Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow * Solid understanding of modern AI systems, including RAG architectures, AI agents, and agent-based systems * Experience integrating AI models into production environments using APIs and data pipelines * Knowledge of vector databases, embeddings, and search-driven AI solutions * Strong foundation in machine learning principles, model evaluation, system design, and MLOps across the full AI lifecycle * Curiosity and enthusiasm for exploring new technologies and engineering approaches Preferred Qualifications * 1–2 years of experience with AWS, including designing, deploying, and operating scalable cloud services (e.g., Lambda, S3, EC2) What’s in It for You * Hybrid Work Model: Flexible schedule with a mix of in-office and remote work * Flexibility & Work-Life Balance: Supportive policies, including work-from-anywhere options for part of the year * Career Development: Strong emphasis on continuous learning, skill development, and long-term growth in an AI-focused environment * Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health support, retirement savings, tuition reimbursement, and incentive programs * Inclusive Culture: A workplace committed to inclusion, collaboration, and professional wellbeing * Social Impact: Opportunities for paid volunteer time and participation in community and ESG initiatives Symbiotic Services is proud to represent this opportunity and is committed to a fair, inclusive, and human-centered recruitment process.

Job Description Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai. From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation. Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge. Why is Boosted.ai the best place to work? • Our product is used every day by investors at the world's largest financial institutions and most popular investment platforms, • We're scaling quickly. We have ramped roughly 5× over the past year and growth is accelerating, • We've built a culture people actively want to be part of. Many of our strongest applicants come from firms that already use Boosted.ai Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations. Working closely with senior members of Boosted.ai's engineering and management teams, the ideal candidate will excel at developing scalable, high-performance systems to support our cutting-edge analytics platform. As part of a dynamic and collaborative engineering team, this role requires someone excited by tackling complex challenges, strategizing innovative approaches, and delivering robust, impactful solutions. You will thrive in a fast-paced environment, owning projects from ideation to implementation, writing clean and maintainable code, and contributing to our ambitious growth goals. The ideal candidate is a results-oriented engineer with a strong technical foundation, outstanding problem-solving skills, and a history of delivering high-quality software. You will be responsible for leading key initiatives, mentoring junior developers, and collaborating cross-functionally to scale our platform and deliver value to clients. If you are a highly motivated, entrepreneurial self-starter with a natural curiosity and a passion for technology – we'd love to chat! What You'll Do • Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions., • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems., • Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges., • Work with large datasets, ensuring efficient processing, manipulation, and analysis., • Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems., • Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team., • Continuously evaluate and integrate emerging technologies to improve system performance and scalability., • Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field., • 3+ years of professional programming experience, with a strong focus on Python., • Solid understanding of data structures, algorithms, and their applications., • Experience building and optimizing distributed, scalable systems and high-performance applications., • Proficiency in working with large-scale datasets and implementing solutions for efficient data processing., • Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment., • Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment. We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do. • Collaborative – We value our team and know that success can only come from working together, • Client Centric – Our focus is always on our clients and consistently delivering them value, • Action Oriented – We remove barriers and we seek to improve in measurable ways, • Accountable – We are accountable for ourselves, and we hold each other accountable We want our benefits to reflect our values and offer the following to full-time employees: • Flexible (Unlimited) Paid Time Off, • Medical, Dental, and Vision benefits for you and your family, • Life Insurance and Disability Benefits, • Access to a 401(k) retirement savings plan (for U.S. employees), • Paid Parental Leave, • Free access to use Boosted.ai Alfa™ to make money Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $110K - $250K

Job DescriptionRole : ML Specialist Location: NJ/NY (Hybrid) Role Description A dual-threat technical role responsible for both the theoretical modeling and the engineering required to deploy it. This individual must be capable of building robust classical ML models for causal inference while applying modern Deep Learning methods to enhance forecasting accuracy. Crucially, they must possess strong MLOps capabilities to build production-grade pipelines, ensuring models are scalable, monitored for drift, and integrated seamlessly into the enterprise platform.Key Skills & Competencies (relevant skills, not expecting the same person to possess all of it, we need 2 profiles and so we can build a mix i.e., 1x Classical ML specialist + 1x Modern MLOps Engineer,) • Advanced Forecasting & AI: Mastery of classical methods (Regression, ARIMA, Prophet) combined with modern Deep Learning architectures for time-series forecasting (LSTMs, Temporal Fusion Transformers, N-BEATS)., • Causal Inference & Simulation: Experience applying causal libraries (CausalML, EconML) to determine incrementality and simulate business outcomes under uncertainty., • MLOps & Engineering: Strong hands-on experience with the modern ML stack (CI/CD for ML, Docker/Kubernetes, MLflow/Kubeflow) to automate training, deployment, and monitoring pipelines., • External Job Titles to Search: Senior Machine Learning Engineer (FinTech/Risk), Full-Stack Data Scientist, Applied Scientist (Forecasting & Optimization), AI Engineer (Time-Series focus).

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. To ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive workplace. As a Senior Software Engineer, you will also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA About the team: The Direct Marketing Technology team builds the intelligence and systems behind StubHub's lifecycle marketing engine, encompassing email, push, and app notifications. We focus on making every fan interaction relevant, timely, and effective in driving repeat engagement. Our work sits at the intersection of data science, personalization, marketing technology, and software engineering. The challenge: retain attention in a noisy digital world by creating messaging that resonates emotionally and delivers value, not just promotion. Our solutions rely on real-time targeting, campaign decision-making, and experimentation at scale.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineersWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Staff Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 7+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++)

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is attending their first event or their hundredth, we're here to support them from the moment they start searching for tickets through the moment they walk through the gate. Behind every great fan experience is accurate, timely, and trustworthy event data. That foundation is built by our Catalog team. To support StubHub's continued growth and global scale, we are seeking a Senior Software Engineer to help build and evolve the systems that power StubHub's live event catalog. This role sits at the heart of the platform and is ideal for engineers who enjoy working on data-intensive, highly reliable systems with broad company-wide impact. As a Senior Software Engineer on Catalog, you will tackle complex and ambiguous problems, design systems that scale with the live events ecosystem, and act as a technical leader within a highly collaborative engineering culture. Senior engineers at StubHub are expected to demonstrate strong ownership, technical judgment, and a bias toward impact. You will help set technical direction, mentor teammates, and ensure the systems you build are resilient, extensible, and trusted by teams across the company. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA About the team: The Catalog team forms the foundation of the StubHub consumer experience and is central to our mission of connecting people with unforgettable live events. The team is responsible for sourcing, ingesting, and categorizing live event data, storing it efficiently as the catalog continues to grow, and exposing that data through scalable and intuitive interfaces used across the company. Catalog powers critical use cases across Consumer Experience, Paid Search, Fulfillment, Customer Service, and Performance Marketing. The team also serves as the system of record for visual assets such as images and maps, playing a pivotal role in how StubHub looks and feels to millions of users each month. In addition, the team builds systems that blend automated pipelines with human and agent-assisted operations to ensure StubHub maintains comprehensive and accurate awareness of live events worldwide. As a foundational platform team, Catalog acts as an innovation engine for downstream teams, enabling richer fan experiences, more relevant advertising, and more efficient internal operations. What You'll Do • Design, develop, test, deploy, and maintain mission-critical systems that ingest, store, and serve live event catalog data at scale, • Own complex initiatives end-to-end, from early design through production launch and ongoing iteration, • Build scalable APIs and services that power consumer experiences, paid marketing, fulfillment, and internal tooling, • Partner closely with engineers, product managers, and data teams to solve ambiguous problems with significant business impact, • Ensure high standards for reliability, data quality, performance, and operational excellence in production systems, • Improve system architecture and engineering practices to support rapid growth in catalog size and usage, • 6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using general-purpose programming languages(e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Data Engineering, Machine Learning, API Design, and Distributed Systems, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features that transform the way millions of users explore, interact with, and participate in live events worldwide. As a Senior Software Engineer, you will be an integral part of developing the team's commercial and product strategy. You will be expected to be equally focused on user needs and to exercise sound commercial judgment (not just technical judgment). Our Senior Software Engineers are essential to our company's success, so they must demonstrate initiative and enthusiasm in solving the problems they encounter. StubHub is committed to being a phenomenal and inclusive workplace. We expect you to also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – Aliso Viejo, CA or New York, NY or Seattle, WAAbout the Team:The Supply team's mission is to simplify the lives of our large-ticket sellers by making it effortless to onboard and manage their inventory across the entire event lifecycle. We help sellers reduce operational overhead and maximize revenue through intelligent automation, streamlined workflows that move at marketplace speed, and fast, dependable experiences. Behind the scenes, we design and operate enterprise-grade, high-throughput systems that power core seller operations and handle large, dynamic datasets at scale. Our work spans multiple layers of the stack - from robust back-end services to high-performance, user-focused interfaces - ensuring sellers have a reliable, end-to-end platform they trust to run their business.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements that cross the frontend and backend code across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • 2+ years of in-depth experience with React and relevant toolsets/framework ecosystems, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$200,000—$250,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: The Head of Audience, Insights & Measurement (AIM) for Quizlet Ads will architect Quizlet’s Ads research organization. This role will be responsible for 4 major functions in forging Quizlet Ad’s data advantage - 1) create demand for Quizlet’s 1P logged-in audience data, 2) found a world-class data studio serviced by a team of research professionals and the industry’s leading data providers, 3) build an ad effectiveness service using traditional and proprietary Quizlet brand KPIs and 4) author original marketing content as thought leadership material, both broadly in the press and bespoke to clients & verticals. As the leader and founder of these new services and team, you will create best-in-class data solutions for Quizlet’s existing endemic clients as well as tailor solutions for Quizlet’s expanded non-endemic business. You will develop a thought leadership strategy and commercialize data solutions that drive client demand across all verticals. You will build on the needs of existing clients today and pave the way for the needs of new clients tomorrow. You will create a flywheel of audience insights to power ad intelligence at Quizlet. The teams you lead fuel client campaigns with the best 1P audience data on Gen Z and Millennials, and then build a narrative around effectiveness with traditional and proprietary ad effectiveness techniques. The more work your team does, the smarter Quizlet Ads becomes. You will create a database of norms and benchmarks across audiences, industries, and platforms, so Quizlet Ads can continue to push boundaries in the ad space. This role is highly visible across all stakeholders, primarily responsible for identifying, ideating, and executing commercial data opportunities that drive revenue across Quizlet Ads. This role is onsite in our San Francisco or New York office. To support collaboration, we ask employees to be in the office at least three days a week: Monday, Wednesday, and Thursday.In this role, you will: • Create a global ad sales research service: Build a marketing measurement and audience roadmap that leads the market in terms of data services and capabilities, • Accelerate Q-IQ: Our 1P data system that powers ad performance, optimization, measurement and insights, • Architect Quizlet’s 1P data studio: Imagine and construct Quizlet’s managed service around 1P data, including proprietary audience taxonomy, visualization dashboards, and bespoke advertising and data narrative insights, • Pioneer data commercialization: Develop Quizlet’s in-house insights services that drive direct or indirect revenue impact. Create added value data services that help close advertising deals or construct managed data services sold to clients directly, • Scale thought leadership globally: Author original thought leadership positioning using 1P data with a vision towards scale and downstream customization for verticals and clients, • Own the build: of world class primary research, data analytics, and advertising insights, • Forge data partnerships with the industry’s leading research & data providers: Partner with executive leaders across the data analytics and custom research space, advocating Quizlet’s needs and evangelizing data innovation across vendor partners, • Lead stakeholder coalitions: Drive impact in our high-growth organization, leveraging excellent communication and business acumen. Go beyond influencing to inspire internal and external business partners across Sales, Marketing, Operations, PR, Product, Engineer, and 3rd party data suppliers, • Construct and execute Quizlet’s enterprise research budget - Assess the needs of Quizlet Ads, develop a comprehensive budget plan, and negotiate preferred rates and services with research vendorsWhat you bring to the table:, • 13 + years of relevant experience with 6+ years in ad sales research leading 1P data commercialization strategy, • BA/BS required, • 8+ years experience partnering with leading measurement providers (e.g. Comscore, Nielsen, Kantar, DISQO, GWI, etc.), • 6+ years experience leveraging digital analytics platforms (e.g. Google Analytics, Adobe Analytics, Facebook Business Manager, DMPs, clean room activation etc.), • Superior communication and presentation skills, with ability to present and translate complex information to both executive and technical partners while staying focused on our business goals, • Excellent track record of building relationships and partnering with internal & external clients on complex business problems to develop actionable recommendations, • Multi-disciplined leader with applied experience across several insights & data functions, including media insights, data analytics, and primary research., • Bold leadership style that is inclusive, collaborative, and empathetic, • Intuitive business acumen with the ability to form new ideas across emerging market demand and initiatives, enhancing revenue-driving potential for the brand across unexpected angles, • Executive-level business partnership internally and externally, • Ability to lead programs that require influence across many functions and levels, • Budget management acumen with the ability to rationalize, evangelize, and maximize financial investment across data partnersCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $187,070 - $214,560, depending on location and experience, as well as company stock options, • This role is eligible for commission payments, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Code N525HF Department Name Health Fund Admin Reports To Director, Health Fund Chief of Staff FLSA Status Exempt Union Code N/A Management Yes About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Under the supervision of the Health Fund Chief of Staff, the Assistant Director, Health Fund Product & Data Engineering at the 32BJ Health Fund leads the Health Fund data engineering and product development teams. This role will lead the design, development, and optimization of data-driven solutions that support Health Fund products and analytics. This role combines strategic leadership with hands-on technical expertise to ensure scalable, secure, and innovative data platforms. The idea candidate will partner with cross-functional teams to delivery high-quality data engineering solutions that enhance product performance, improve member experience, and support organizational growth. The Assistant Director, Health Fund Product & Data Engineering supports the direction and overall data strategy that is focused on supporting the goals and the mission of the 32BJ Health Fund to provide best comprehensive health benefits to 200,000 32BJ SEIU Union members and their dependents. The team focuses on leveraging over 10 years of medical claims data, provider data and pricing data (internal and external) to inform improvements to the plan design, member navigation, direct contracting, and price transparency. The 32BJ Health Fund is at the forefront of leveraging data towards healthcare transformation and this role requires a strong and collaborative leader who is not content with the status quo, able to inspire, and who looks to form long-lasting internal and external partnerships. This is an ideal opportunity for an accomplished professional, self-driven strategic thinker, skilled at navigating and balancing internal business systems with mission-based priorities. Essential Duties and Responsibilities: • Supervise, develop, and inspire a team of talented Data Engineering, Product Development, and other technical professionals., • Motivate and gain the support of others to achieve organizational goals through emotional intelligence, accountability, and respect., • Work closely with the Health Fund leadership to develop a data strategy that allows for efficient use of internal data, external data, and price transparency tools to drive rational benefit design, contracting and support for existing tools that heavily rely on data (provider search tools, internal CRM, member portal)., • Support strategy goals and objectives and work with cross-functional teams on key objectives., • Collaborate with the Chief of Staff to develop and execute the data engineering and product development roadmap aligned with organizational objectives, • Propose and develop high level KPls and metrics to measure the effectiveness of technical initiatives in serving our participants and advancing our mission., • Facilitate and coordinate work on evolving data infrastructure architecture by collaborating closely with IT, Operations, and Health Fund leadership to support the full breadth of data projects and initiatives at the Health Fund., • Lead, with the Chief of Staff and cross-functional partners, the design and implementation of scalable data architecture and analytics solutions using Databricks platform., • Support the team's professional development, performance review and the hiring process., • Guide implementation of CI/CD practices using Azure DevOps for data and analytics workflows., • Collaborate with IT to evaluate and recommend new technologies and tools to enhance the data engineering ecosystem., • Foster a culture of continuous learning, collaboration, and technical excellence., • Provide strong and compassionate supervision to a diverse team professionals., • Partner with stakeholders to translate business requirements into technical specifications and data products., • Coordinate sprint planning, backlog management, and release cycles using Azure DevOps., • Ensure timely delivery of high-quality data solutions that meet business needs., • Support change management efforts related to the implementation, transformation recommendations, and business systems improvements., • Spearhead design discussions with the team to support the development, deployment, testing, and maintenance of high-quality solutions related to data analysis, data discovery, data pipeline automation, and roll-out compelling visualizations for business analysis., • Support a culture of data innovation within the team, with a mission-focused perspective to enhance the support we provide to participants., • Perform other duties as assigned by senior leadership and executive team. Qualifications (Competencies): • 5+ years of experience in data engineering, product management, analytics, or related technical roles, • 2+ years in a leadership or supervisory capacity managing technical teams, • Proven people management experience to lead and manage staff members, both direct and indirect reports, through effective planning and organization, supervision, and performance evaluation., • Demonstrated experience with Databricks platform (Delta Lake, Apache Spark), • Proven track record using Azure DevOps for project management, CI/CD, and version control, • Ability to maintain an organized approach, clarity of purpose, and goal orientation in a rapidly changing environment throughout the organization., • Ability to develop talent and will require a leader who is focused on the well-being and resource needs of the entire team., • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java preferred), • Expertise in building and optimizing ETL/ELT pipelines and data workflows, • Experience with data science, machine learning, or AI initiatives, • Knowledge of data mesh, data fabric, or other modern data architecture patterns, • Prior exposure in the healthcare claims data industry preferred Soft Skills (Interpersonal Skills): • Outstanding verbal and written communication skills, • Ability to translate complex technical concepts for diverse audiences, • Experience presenting to executive leadership and stakeholders, • Strong interpersonal skills and ability to build collaborative relationships, • Resiliency in managing competing priorities and timelines to ensure a well balanced workload for the staff., • Self-starter who is highly motivated, collaborative, and innovative. Education: Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field Reasoning Ability: High Certificates, Licenses, Registrations: Preferred: Databricks Certifications (Data Engineer Associate, Professional, Platform Administrator), Microsoft Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

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