Nlp jobs in New York, New YorkCreate job alerts

Our client, an international financial leader, is seeking a GenAI Developer to join their team. As a GenAI Developer, you will be part of the Data & Analytics department supporting cross-functional teams. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a collaborative mindset, which will align successfully in the organization. Job Title: GenAI Developer Location: Jersey City, NJ Pay Range: $85.00-$115.00/hr What's the Job? • Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources., • Integrate data from various Enterprise SORs and workflow tools to create process-level visibility., • Build and maintain data models, warehouses, and lakes for analysis and reporting., • Collaborate with analysts and business teams to develop dashboards and real-time metrics., • 5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP focused roles., • Experience with process mining tools such as Celonis or UiPath Process Mining., • Proven experience with cloud-based data pipelines., • Strong understanding of SQL, Python, and data transformation tools., • Opportunity to work on innovative AI-driven projects that shape the future of process automation., • Collaborate with a diverse and talented team committed to continuous learning and growth., • Access to cutting-edge tools and technologies in AI and data engineering., • Engage in meaningful work that impacts organizational decision-making and efficiency., • Medical and Prescription Drug Plans, • Dental Plan, • Vision Plan, • Health Savings Account, • Health Flexible Spending Account, • Dependent Care Flexible Spending Account, • Supplemental Life Insurance, • Short Term and Long Term Disability Insurance, • Business Travel Insurance, • 401(k), Plus Match About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

At 8th Light, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you’ve found the right place. You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: • Successfully contributed to high-stakes consulting engagements from discovery to production, • Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics), • Used context-appropriate automated testing to inform software design choices and catch bugs, • Debugged and refactored pre-existing code to incrementally improve it, • Collaborated with teams using Git, MacOS/Linux, and CI/CD, • Remedied architecture-level concerns such as scalability, security, reliability, and performance, • Contributed to forums that encourage idea sharing, collaboration, and problem solving, • Made thoughtful recommendations and set direction in the face of ambiguity, • Mentored and shared knowledge with colleagues, • Actively sought out and effectively given feedback, • Communicated empathically with stakeholders and colleagues, • Influenced stakeholders to balance technical considerations with product and user needs As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: • Making immediate contributions to projects, rapidly building trust with your clients and team, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines, • Contributing to architecture and software design discussions, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients, • Contributing to formal feedback conversations with teams and clients via retrospectives, • Clearly articulating and documenting outcomes and driving forward action items, • Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions, • Identifying, mitigating, and resolving blockers to team progress, • Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry, • Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate, • Confidently predicting the next World Series Win for the Chicago White Sox. We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: • MLOps: including tools like LangChain for application development and managing the ML lifecycle, • Data Engineering: including platforms like Databricks for data processing and analytics, • DevSecOps & DevOps, • Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: • A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform, • Coworking support for our global team, • Flexible PTO, • 12 weeks of new parent leave available for eligible employees, • Transparent semi-annual promotion panel See our full list of ___. At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within Chicago, Illinois is: • $104,160-$130,200 USD Reach out to for more relevant information pertaining to your local market. As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. In most cases, our consulting engagements do not require travel. We hope to see you apply! #LI-Remote

We are seeking a Lead Data Scientist with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time‑

This role is a unique blend of applied machine learning, NLP, and product thinking. Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $11,00 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Dropbox is seeking a Staff Product Manager to lead strategy and execution for our next-generation AI led Organization experiences within our Core Product, the file storage and sharing experience (FSS). In this role, you’ll shape the future of how users interact with content and context across tools, using cutting-edge AI to power intuitive, intelligent organization across folders, libraries and living workspaces (called Stacks). You’ll drive vision, define product direction, and partner cross-functionally to deliver transformative features that help users work smarter—not harder. This is a high-impact, high-visibility, cross-company role that requires a mix of deep customer empathy, strong technical fluency (especially with AI/ML systems), and the ability to navigate and influence across executive and IC audiences. If you're passionate about building AI-native product experiences that redefine productivity, we want to hear from you. • Own and evolve the product vision and roadmap for organization in Dropbox’s core product, setting direction across user experience, core functionality, and backend AI integration., • Partner closely with Engineering, Design, Data Science, Research, and GTM to ship innovative features at scale., • Translate ambiguous problems and AI opportunities into clear product strategies, experiments, and roadmaps., • Deeply understand customer workflows, pain points, and AI needs—through user research, data analysis, and competitive insights., • Collaborate with the Dropbox AI/ML and Platform teams to ensure scalable, privacy-respecting, and performant AI implementations., • Be a thought leader in the org—coaching other PMs, contributing to product-wide strategy, and influencing AI direction across Dropbox., • Define success metrics and deliver measurable impact through rigorous experimentation and iteration., • 10+ years of product management experience., • Proven success in building and launching complex, AI-powered products at scale—ideally in productivity, SaaS, or consumer software., • Strong technical fluency; you can discuss models, embeddings, and inference with AI engineers and understand constraints/opportunities., • Exceptional strategic thinking, with the ability to prioritize among competing opportunities and drive alignment across functions., • Experience with LLMs (e.g., GPT, Claude, Gemini), retrieval-augmented generation (RAG), or similar technologies is highly desirable., • Excellent communication skills, with the ability to influence at all levels, from ICs to C-level., • Passion for the future of work and a deep empathy for Dropbox’s user base., • Background in AI/ML, NLP, or data science., • Experience working on assistants, chatbots, or productivity-enhancing tools., • Familiarity with privacy, security, and ethical considerations in AI product development. US Zone 1 This role is not available in Zone 1 US Zone 2 $212,700 - $287,700 USD US Zone 3 $189,000 - $255,800 USD

We are seeking an experienced NetSuite Developer with a strong background in AI-driven solution development, warehouse management systems (WMS), and retail or B2C e-commerce environments. This role is ideal for a developer who can bridge business needs with technical innovation—leveraging AI technologies to automate processes, enhance decision-making, and integrate advanced applications directly into NetSuite. You will play a key role in designing, building, and maintaining custom NetSuite applications and integrations that incorporate AI/ML models, third-party AI tools, and intelligent process automation. This position requires hands-on technical expertise, a problem-solving mindset, and the ability to work cross-functionally with operations, fulfillment, customer experience, and e‑commerce teams. Key Responsibilities NetSuite Development & Customization • Design, build, and maintain custom NetSuite scripts (SuiteScript 1.0/2.0/2.1), workflows, SuiteTalk integrations, SuiteBuilder customizations, and saved searches., • Develop and optimize integrations between NetSuite and external AI services, WMS platforms, and e-commerce systems., • Enhance system performance, reliability, and scalability across modules including Order Management, Inventory, Fulfillment, and Finance., • Collaborate with data teams to structure and utilize data for machine learning and predictive analytics. Warehouse Management Systems (WMS) • Build and maintain integrations between NetSuite and WMS systems including RF-SMART., • Support real-time inventory syncing, pick/pack/ship workflows, and warehouse automation initiatives., • Troubleshoot performance issues and streamline warehouse operations through technology. E-Commerce / B2C Environment Support • Work with marketing, merchandising, and e-commerce teams to improve order flow, product data syncs, promotional logic, and customer experience., • Support integrations with Shopify, Magento, Liftoff, or custom storefronts., • Optimize high-volume transaction processing and customer workflows. AI, Machine Learning & Intelligent Automation • Design and integrate AI/ML models into NetSuite workflows, using:, • Generative AI (GPT models or similar) for summarization, recommendations, and workflow automation., • Predictive analytics for demand forecasting, inventory optimization, and fulfillment routing., • NLP (Natural Language Processing) for automated extraction, classification, and document interpretation., • RPA (Robotic Process Automation) and intelligent process automation to eliminate manual tasks., • Build integrations with AI APIs using RESTful interfaces, webhooks, and middleware platforms (Celigo, Boomi, Workato, Mulesoft)., • Collaborate with data teams to prepare structured datasets for machine learning training, validation, and production deployment., • Implement monitoring, logging, and quality controls for AI-enabled solutions. Technical Leadership • Ensure best practices in coding, documentation, version control, and system security., • Translate business requirements into technical specifications for scalable, future-proof solutions., • Lead code reviews and provide guidance to junior developers or cross-functional partners. Required Qualifications • 5+ years of professional NetSuite development experience, including SuiteScript and SuiteTalk., • Experience designing and implementing AI-based solutions (e.g., OpenAI, Azure Cognitive Services, Google Vertex AI, custom ML models)., • Strong background in WMS platforms and warehouse process integrations., • Expertise in e-commerce or B2C/retail systems, including order management and fulfillment workflows., • Proficiency with REST/SOAP APIs, JSON, JavaScript, and modern integration frameworks (e.g., Celigo, Boomi, Workato)., • Solid understanding of inventory, supply chain operations, and omnichannel retail., • Ability to work with cross-functional teams in a fast-paced environment. Preferred Qualifications • Experience with Shopify, Magento, BigCommerce, or similar platforms., • Knowledge of data engineering or MLOps fundamentals., • Familiarity with NetSuite WMS, Smart Count, or third-party WMS add-ons., • Background in process automation, RPA, or workflow optimization., • Certification: NetSuite SuiteFoundation, SuiteCloud Developer, or AI-related credentials. Benefits & Perks: • Medical, dental and vision insurance, • Paid time off, • 401(k) with matching, • Cool swag! Boundless is Your Merch Media Agency®, where creative ideas meet results-driven execution. As an industry-leading branded merchandise agency, we fuse agency-level creative with enterprise-level solutions to craft unforgettable merch experiences that ignite Brand Love™. Our team brings strategy, storytelling, and design to life through product—and we don’t just follow trends, we spark them. Whether we’re building ecommerce ecosystems, launching viral gifting campaigns, or decoding brand archetypes through our BrandEQ™ methodology, we do it with style, strategy and soul. Join the team that’s rewriting the playbook on branded merch—and having a damn good time doing it. Boundless has been recognized in: • 2025 PPAI Best Places to Work, • Top 20 ASI and PPAI Distributor At Boundless we welcome all applicants regardless of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, pregnancy status, veteran status, or any other differences.

We are looking for a Data Scientist with exceptional skill to develop machine learning and deep learning models and algorithms that create useful and actionable insight for customers. Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis. The id

The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems.Analytica has been recognized by Inc.We offer competitive compensation with opportunities for bonuses, employer paid health care, trainin

At 8th Light, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimize our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energizes you, you’ve found the right place. You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: • Successfully contributed to high-stakes consulting engagements from discovery to production, • Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics), • Used context-appropriate automated testing to inform software design choices and catch bugs, • Debugged and refactored pre-existing code to incrementally improve it, • Collaborated with teams using Git, MacOS/Linux, and CI/CD, • Remedied architecture-level concerns such as scalability, security, reliability, and performance, • Contributed to forums that encourage idea sharing, collaboration, and problem solving, • Made thoughtful recommendations and set direction in the face of ambiguity, • Mentored and shared knowledge with colleagues, • Actively sought out and effectively given feedback, • Communicated empathically with stakeholders and colleagues, • Influenced stakeholders to balance technical considerations with product and user needs As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: • Making immediate contributions to projects, rapidly building trust with your clients and team, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines, • Contributing to architecture and software design discussions, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients, • Contributing to formal feedback conversations with teams and clients via retrospectives, • Clearly articulating and documenting outcomes and driving forward action items, • Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions, • Identifying, mitigating, and resolving blockers to team progress, • Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry, • Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate, • Confidently predicting the next World Series Win for the Chicago White Sox. We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: • MLOps: including tools like LangChain for application development and managing the ML lifecycle, • Data Engineering: including platforms like Databricks for data processing and analytics, • DevSecOps & DevOps, • Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: • A robust L&D program featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform, • Coworking support for our global team, • Flexible PTO, • 12 weeks of new parent leave available for eligible employees, • Transparent semi-annual promotion panel See our full list of ___. At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within Chicago, Illinois is: $104,160-$130,200 USD. Reach out to for more relevant information pertaining to your local market. As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. If you are hired into a hub, you will be a part of a team with regular rituals around co-working and community building. For team members outside of those cities, we offer access to coworking spaces to foster continued collaboration and connection across our global team. In most cases, our consulting engagements do not require travel. We hope to see you apply! #LI-Remote

Understanding of AI, Generative-AI and Machine Learning frameworks and its application in LLMs, NLP, Forecasting and other AI-driven use cases. Offer amounts for both remote and in office roles are influenced by geographic location.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description Summary The location for this role is East Hanover, NJ. Job Description Novartis seeks an Executive Director with extensive experience in AI strategy development and execution. The ideal candidate will have a proven ability to lead AI initiatives and possess a deep understanding of AI best practices and pharmaceutical data and external data vendors. The Executive Director of Functional AI and Process Excellence, works with a team of other EDs of Functional AI and Process Excellence leads across Novartis as part of a Functional Working Group, to elevate NVS capabilities, catalyze adoption, accelerate culture change and pull-through process changes in close partnership and coordination with the Function Head, or a member of the Function leadership team. Reporting to the Head of AI & Innovation, Insights and Decision Sciences, this role serves as a thought leader and catalyst for AI adoption, process mapping and optimization, guiding functional teams in leveraging AI to enhance business performance. By fostering a strong AI culture, implementing best practices, and ensuring alignment with the broader AI strategy, this role will enable Novartis to maximize the value of AI investments within their respective functional areas. This role is also accountable as a standing member of the AI Functional Working Group, is accountable to fully participate and drive functional adoption of enterprise standards, governance and pull-through of AI and Data programing, training and other centrally created use cases, programs and initiatives, the Process Excellence team and their respective functional areas, ensuring that AI solutions, Process Optimizations are strategically deployed, governed effectively, and continuously optimized to support enterprise-wide objectives. Major Accountabilities: * Lead efforts in function to embed AI into functional workflows, ensuring AI solutions enhance decision-making, operational efficiency, and business impact. * Foster a culture of innovation and data-driven decision making within each function to promote knowledge-sharing, cross-functional collaboration, and the scaling of successful AI initiatives. * Provide oversight on AI deployment within functions, ensuring adherence to governance frameworks, regulatory requirements, and ethical AI principles. * Establish performance objectives for other in functional AI efforts, leads and implement metrics to measure AI's impact on functional and business goals, ensuring AI value realization is consistently assessed. * Ensure functional area teams have knowledge of available AI applications * Identify, assess, and prioritize AI opportunities within functions, ensuring AI initiatives are strategically aligned, scalable, and focused on high-value business outcomes. * As part of the AI Functional Working Group, ensure Novartis stays at the forefront of AI-driven healthcare transformation by leveraging cutting-edge AI practices to enhance the organization's competitive edge in healthcare. * Work across General Management, Marketing, Customer Engagement, Market Access, Novartis Patient Support, and Medical to drive AI-led innovation, ensuring AI is leveraged effectively to enhance business performance. * As a core member of the AI Functional Working Group (FWG) the AI lead is accountable to the Head of AI Strategy and Innovation to ensure functional AI opportunities are aligned with the US strategy, and executed in alignment and coordination with AI governance. * Lead efforts in function to identify key processes, partner on process mapping (within the function and BPE) and identification of opportunities to drive future efficiency, effectiveness and technology opportunities Requirements: Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field. Additional qualifications are as follows: * Ten plus years of experience in AI strategy, digital transformation, data science, or product management, with a focus on AI adoption within large, matrixed organizations * Deep knowledge of AI and data technologies (e.g., machine learning, NLP, predictive analytics) and their application in commercial, medical, and operational functions * Deep understanding of the functional area landscape, including strong focus on strategic insights, decision science, and/or analytics within the respective domain * Proven leadership experience in driving AI adoption, managing cross-functional teams, and influencing senior stakeholders to align AI initiatives with business goals * Experience in AI governance, ethics, and compliance, ensuring responsible AI deployment that aligns with regulatory and industry standards * Track record of building and scaling functional AI excellence, fostering collaboration, knowledge-sharing, and capability-building within an organization * Exceptional communication and executive presence, with the ability to engage and influence senior leadership, present AI insights, and drive strategic decision-making * Passion for innovation and continuous learning, staying ahead of AI advancements, emerging trends, and best practices to drive long-term AI transformation The pay range for this position at commencement of employment is expected to be between $194,600.00 to $361,400.00 a year; however, while salary ranges are effective from 1/1/26 through 12/31/26, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Budget Management, Business Acumen, Digital capabilities, Effective use of technology, Operational Excellence Projects, Performance Management, Project Management, Risk Management, Service Delivery Management, Stakeholder Management, Strategic Leadership, Strategic Planning, Talent Development

Job Description Summary #LI-Hybrid Novartis has an exciting opportunity for a Director, Analytics Standards & Impact Measurement. This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics. By ensuring that analytics outputs, whether built by expert data scientists or citizen data scientists using self-serve platforms, meet the highest standards of AI/ML validity, regulatory compliance, and business value, this director enables democratized, trustworthy analytics at scale while measuring and communicating the return on analytics investments. This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international). Job Description Key Responsibilities • Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms, ensuring citizen data scientists follow rigorous methodologies automatically., • Establish model validation protocols, testing frameworks, and quality gates built into automated workflows for predictive models and AI solutions., • Create standardized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis) that can be templatized for citizen data scientists., • Define enterprise-wide frameworks for measuring analytics impact including lift analysis, ROI calculation, incrementality measurement, and business value assessment., • Execute enterprise-level impact measurement studies to quantify business value of analytics initiatives and report quarterly/annual ROI to leadership., • Establish production-readiness criteria for AI/ML models from self-serve platforms, including quality thresholds, documentation requirements, and approval workflows., • Ensure all AI, ML, and data science outputs meet regulatory requirements ( HIPAA, GDPR, promotional review) and partner with Legal, ERC, and Medical Affairs on governance., • Advanced degree in Data Science, Machine Learning, Statistics, or related quantitative field; or bachelor's degree with 10+ years relevant experience., • 10+ years of experience in data science, machine learning, advanced analytics, or AI development., • 5+ years of leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare., • Expert knowledge of advanced analytics methodologies: machine learning, causal inference, experimental design, predictive modeling, AI validation., • Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications., • Proficiency in data science/AI programming and AI/ML platforms., • Proven ability to influence without direct authority and drive adoption of AI/ML standards across diverse teams., • Experience with self-serve analytics and AI platforms and embedding governance into automated workflows., • Strong business acumen with ability to measure and communicate ROI of AI/ML initiatives to C-suite., • Systems thinker who can balance AI/ML rigor with practical business needs and timelines., • Experience building communities of practice and enabling citizen data scientists in AI/ML development. The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineer.We are looking forasoftware engineer with machine learningexpertiseto join us in expandingourAI capabilities, enablingincreased productivity and magical experiences in our products and services. In thisroleyou will be expected to design and implement complex AI systems thatleverageML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-basedQnA.The ideal candidate should be passionate about applying AI/ML concepts to difficult problems anddevelopscalable solutions. Wewantpeople who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software thatleveragesLarge Language Models (LLM), Multimodal LanguageModels(MLM),and other ML models and techniquesto buildamazingcapabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growthstartupand we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Developand productionize machine learning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Develop andmaintainbackend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI modelsand services., • Developtools for large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services., • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Documentandcommunicatedevelopment processes and implementation details with peers and supervisors, • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. RequiredQualifications: • Bachelor's orMaster's degree inComputer Science, Machine Learning, or a related quantitative field., • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus., • Goodunderstanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Proficiencyin Python and familiaritywith ML libraries such asPyTorch., • Familiarity withGenAIservices such as OpenAI GPT, Anthropic Claude, Google Gemma etc.Some experience indeveloping and fine-tuning prompts on any of theGenAIservicesis a plus., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job Description Summary #LI-Remote This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. The Executive Director, Functional AI & Process Excellence - Market Access works across the US Market Access function to identify opportunities to implement AI technologies to solve the toughest pricing and access challenges pharmaceutical manufacturers face. This leader will collaborate with the Novartis Data and AI Innovation teams to design and scale AI solutions that expand patient access, improve the sustainability of the pricing model, and drive operational efficiencies across all key areas of US Market Access. Reporting to the VP of Payer and Pricing Strategy, this role serves as a thought-leader and catalyst for AI adoption, process mapping, and guiding functional teams in leveraging AI to enhance business performance. By fostering a strong AI culture, implementing best practices, and ensuring alignment with the broader AI strategy, this role will enable Novartis to maximize the value of AI investments within Market Access and across the enterprise. This role is also accountable to the Head of AI Innovation as a standing member of the AI Functional Working Group, which is a central governance board tasked to manage all functional AI initiatives across Novartis ensuring that solutions are strategically deployed, governed effectively, and continuously optimized to sup-port enterprise-wide objectives. Job Description Key Responsibilities: • Lead efforts in Market Access to embed AI into functional workflows, ensuring AI solutions enhance decision-making, operational efficiency, and business impact, • Foster a culture of innovation and data-driven decision making within Market Access to promote knowledge-sharing, cross-functional collaboration, and the scaling of successful AI initiatives, • Provide oversight on AI deployment within functions, ensuring adherence to governance frameworks, regulatory requirements, and ethical AI principles., • Establish performance objectives for others in functional AI efforts, leads and implement metrics to measure AI's impact on functional and business goals, ensuring AI value realization is consistently assessed, • Ensure functional area teams have knowledge of available AI applications, • Identify, assess, and prioritize AI opportunities in Market Access, ensuring AI initiatives are strategically aligned, scalable, and focused on high-value business outcomes, • Lead efforts to prepare Market Access data for AI implementation via organizing, connecting, creating logic/business rules, validating, and storing existing data assets to be used as the foundation for future AI initiatives, • As part of the AI Functional Working Group, ensure Novartis stays at the forefront of AI-driven healthcare transformation by leveraging cutting-edge AI practices to enhance the organization's competitive edge in healthcare, • Work across General Management, Marketing, Customer Engagement, Market Access, Novartis Patient Support, and Medical to drive AI-led innovation, ensuring AI is leveraged effectively to enhance business performance., • Provide guidance to Novartis Data and AI Innovation teams on AI solution design, logic, business objective, and user interface to ensure viability at scale and adherence to governance frameworks, regulatory requirements and ethical AI principles, • As a core member of the AI Functional Working Group, this role will be accountable to the Head of AI Strategy and Innovation to ensure Market Access opportunities are not duplicative, but complementary to other AI initiatives from adjacent functions and align well with the enterprise AI strategy Essential Requirements: • Education: Bachelor's or Master's degree in Information Management, Computer Science, Finance, Economics, Business Administration, or related field, • 10+ years of experience in AI strategy, digital transformation, data science, or product management, with a focus on AI adoption within large, matrixed organizations, • Deep understanding of the US Market Access landscape, including strong focus on strategic insights, decision science, and/or analytics within the respective domain. Payer and Channel Pricing, Account Management, Gross-to-Net, Rebate Operations, and Contracting is preferred, • Deep knowledge of AI and data technologies (e.g., machine learning, NLP, predictive analytics) and their application in commercial functions, • Proven leadership experience in driving AI adoption, managing cross-functional teams, and influencing senior stakeholders to align AI initiatives with business goals. Proven track record of manipulating and analyzing large, disparate, complex Market Access and other pharmaceutical industry datasets to answer key business questions and make critical commercial decisions, • Experience in AI governance, ethics, and compliance, ensuring responsible AI deployment that aligns with regulatory and industry standards, • Track record of building and scaling functional AI excellence, fostering collaboration, knowledge-sharing, and capability-building across key commercial functions of a pharmaceutical company. Deep understanding of Market Access and Brand commercialization strategies to contextualize AI use case development, • Exceptional communication skills and executive presence, with the ability to engage and influence senior leadership, present AI insights, and drive strategic decision-making, • Passion for innovation and continuous learning, staying ahead of AI advancements, emerging trends, and best practices to drive long-term AI transformation Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agility, Agility, Business Acumen, Business Strategy, Channel Strategy, Cross-Functional Collaboration, Cross-Functional Team Leadership, Customer-Centric Mindset, Employee Development, External Orientation, Global Value Chain (Gvc), Go-To-Market Strategy, Healthcare Sector Understanding, Health Economics, Health Policy, Health Technology Assessment (HTA), Influencing Skills, Innovation, Inspirational Leadership, Lcm Strategy, Market Access Strategy, Negotiation Skills, Patient Care, People Management, Pricing Strategy {+ 12 more}

Job Description Summary #LI- Hybrid Novartis has an exciting opportunity for a Director, Analytics Infrastructure & Pipeline Operations. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models. This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international. Job Description Key Responsibilities • Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation., • Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases., • Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers., • Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking., • Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads., • Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data., • Create self-service data access layers that empower data scientists and analysts to query and extract data independently., • Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions. Essential Requirements • Advanced degree in Computer Science, Data Engineering, or related field;, • 10+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure., • 5+ years leading teams building enterprise-scale data platforms and feature stores., • Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store)., • Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery)., • Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing., • Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines., • Proven track record of implementing AI/ML-powered automation in data engineering workflows., • Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability)., • Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering., • Experience in pharmaceutical, healthcare, or life sciences industry., • Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture. Novartis Compensation Summary: The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and 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. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$128,000—$202,000 USDNew York, NY Salary Range$161,600—$202,000 USDDenver, CO Salary Range$148,400—$185,500 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Drive research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects., • Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience tech leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Job Description Summary #LI-Hybrid This role is responsible for building the tools, frameworks, and accelerators that enable the organization to scale AI, ML, and data science capabilities efficiently through automation and reusability. By transforming manual, one-off analytics into automated, production-grade solutions that can be reused across multiple use cases, this leader dramatically increases the speed and consistency of analytics delivery while reducing technical debt and enabling citizen data scientists to leverage enterprise-grade. This position will be located at the East Hanover site and will not have the ability to be located remotely. This position will require 20% travel as defined by the business (domestic and/ or international). Job Description Key Responsibilities • Design and implement workflow automation solutions for AI/ML and analytics processes (Airflow, dbt, Azure Data Factory)., • Build CI/CD pipelines for data science code, enabling automated testing, deployment, and monitoring of ML models., • Design MLOps infrastructure to streamline the model development, validation, and deployment lifecycle., • Build and maintain a library of reusable AI/ML components (feature engineering modules, model templates, prediction pipelines, visualization templates)., • Create standardized notebooks, scripts, and dashboards for common data science use cases that can be easily adapted for new projects., • Build tools and platforms that enable business users and citizen data scientists to access AI/ML capabilities without engineering support., • Implement automated testing frameworks for data science code (unit tests, integration tests, model validation tests, regression tests)., • Advanced degree in Computer Science, Data Science, Statistics, or related field; or Bachelor's degree with 8+ years relevant experience., • 8+ years of experience in analytics engineering, data engineering, or software engineering roles., • 3+ years of experience leading technical projects or small teams., • Experience with workflow orchestration tools (Airflow, Prefect, dbt) and CI/CD tools (GitHub Actions, Jenkins)., • Knowledge of MLOps principles and tools (MLflow, Kubeflow, SageMaker)., • Experience with testing frameworks and code quality tools., • Excellent documentation and communication skills. Desired Requirements: • Experience in pharmaceutical, healthcare, or regulated industries., • Background in both analytics/data science and software engineering best practices., • Creative problem-solver who can identify opportunities for automation and reusability., • Strong systems thinking with ability to design scalable, maintainable solutions., • Experience building internal tools and platforms used by diverse user groups including citizen data scientists. Novartis Compensation Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $145,600.00 - $270,400.00 Skills Desired Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

Experience with LLMs, NLP, generative AI, and advanced deep learning techniques. Otto Aviation is seeking a dynamic and technically proficient Machine Learning Engineer with software developer experience to join its AI Design and Innovation Lab. You will play a critical role in advancing Otto

Platform Engineer Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability. Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us! The Role You'll own the infrastructure that runs our deploy anywhere platform — from Kubernetes clusters serving ML inference at scale to the CI/CD pipelines, IaC, and observability stack that keep it all reliable. This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after. You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers. What You’ll Do • Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments)., • Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption., • Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers)., • Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry., • Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments., • Contribute to backend services (Java 21, Python, gRPC) and platform features., • Improve system reliability, scalability, and developer experience across the engineering org. What You’ll Bring (Required): • 2+ years in platform engineering, DevOps, SRE, or backend infrastructure roles., • Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi., • Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued)., • Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases., • Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar)., • Solid fundamentals in Linux, networking, and distributed systems. What Sets You Apart (Preferred) • Experience deploying or operating ML inference workloads (model serving, GPU scheduling, vLLM, TensorFlow Serving, or similar)., • Familiarity with streaming/messaging systems (Kafka, Pulsar) and data stores (MariaDB/PostgreSQL, Aerospike, ClickHouse, OpenSearch)., • Experience with GitOps workflows (ArgoCD, Flux)., • Exposure to air-gapped or on-premises Kubernetes deployments., • Background in observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog)., • Experience providing technical support or working directly with enterprise customers on infrastructure issues., • Comfort with AI-assisted development workflows and managing AI coding agents. Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Perks and Benefits: 100% paid Medical, Dental, Vision for employees. Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.

The Community You Will Join: Messaging is a critical component in building connections with our users. Our mission as the Communication Products team is to build a first-class messaging experience at Airbnb, bringing together guests and hosts across the world. We are investing heavily in machine learning to make these conversations smarter, safer, and more productive. As a staff software engineer on this team, you'll lead the technical vision for ML-powered messaging features: architecting and delivering intelligent capabilities end-to-end, partnering deeply with ML and product teams, and raising the engineering bar across the organization. The Difference You Will Make: As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration. In addition, you will help drive key technical deliverables for the larger Communications organization. A Typical Day: • Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability, • Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions, • Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact, • Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions, • Mentor, guide, advocate, and support the career growth of individual contributors, • Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation Your Expertise: • 9+ years of relevant engineering hands-on work experience, • Bachelors, Masters, or PhD in CS or related field, • Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring, • Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications, • Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding, • Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering, • Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution, • Experience operating distributed, real-time systems at scale with high reliability requirements, • Experience with real-time messaging systems or event-driven architectures, • Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms), • Prior work on trust & safety, content moderation, or internationalization in a messaging context, • Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. ___ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: ___. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Join us and help shape the future of AI by defining the narrative around document understanding. We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications. * Design, build, and maintain comprehensive benchmarks for document parsing and understanding * Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials) * Stay deeply current with the document AI landscape - new models, papers, competitors, techniques * Run experiments and translate findings into publishable artifacts quickly * Produce technical analyses that demonstrate our capabilities against alternatives * Contribute to open-source examples, notebooks, and documentation * Collaborate with the core ML team to surface improvements and capabilities worth highlighting * Engage authentically with the developer community through technical content (not conferences/events) * Experience in software engineering (ML engineering + research a bonus) * Strong software engineering fundamentals with production Python experience * Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning * Demonstrated ability to write clearly, quickly, and authentically about technical topics * Bias toward shipping - comfortable publishing at blog pace, not paper pace * Ability to read, understand, and synthesize research papers rapidly * Scrappy and self-directed - can identify what's worth writing about and execute end-to-end * Track record of high-velocity output in fast-paced environments * Experience with vision-language models, transformer architectures, or document AI specifically * Existing portfolio of technical writing (blog posts, tutorials, technical documentation) * Experience building evaluation frameworks or benchmarks * Familiarity with OCR, layout analysis, table extraction, or document structure understanding * Active presence in ML/AI technical communities * Experience with LLM applications and RAG systems In-person in San Francisco. Shape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception. Technical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities. High Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains. Growth Opportunity: Help build this function from the ground up as we scale. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.

About Robin: Robin is the leading hybrid ___. Since 2014, we’ve empowered people to do their best work by building tech solutions that fuel vibrant workplace experiences, from industry-leading desk booking and room booking to streamlined visitor management. Today, we are laser-focused on helping companies reimagine office spaces using their own office data points. Robin distills data into action-oriented and automated insights based on that information. Understand the workplace so you can optimize it and up-level team collaboration. ___. We believe in creating a workplace environment where magic happens, where the best work gets done when employees have the best of both worlds. As our teams value the energy of in-person collaboration and the productivity of heads-down remote work, we ask our Robinauts to come into the office at least two days a week, so we can live by our customers’ experiences and address pain points to make our product even better. We’re looking for an inspiring Senior Product Manager to join our R&D team focused on creating an amazing foundational experience for our Robin users. \n This role is interesting because: • You are working on solving problems for customers in order to make their workplace experience better, • You will have ownership of a large part of the product, with the ability to ship frequently and see real results, • You are thinking about how to ensure Robin is automating the mundane tasks in the office so people can focus on getting their best work done, • You are working cross-functionally with other teams to create the best experience for employees and administrators as they complete their jobs-to-be-done with Robin You are qualified if you have: • Experience working as a product manager in a B2B SaaS company building products at scale, B2C experience a plus, • Worked with customers, internal stakeholders, designers, and engineers to define the most impactful problems to solve and deliver solutions that solve those problems, • Used data and analytics to back up key insights, • Experience across the product life cycle including research, ideation, launch, and iteration, • Worked in environments where you need to adapt because the problems to be solved change with regularity, • Experience with building platforms, preferably with 5+ years working as a product manager as well as knowledge of ML/NLP/AI with proven results How our values show up in this role: • Drive: You’re able to motivate and hold your team accountable to deliver solutions quickly that are valued by customers., • Innovate: You know how to interact with customers to gain insight into their needs, creating innovative solutions that solve customer and business problems., • Adapt: You’re able to adapt as new information comes in and still move projects forward through ambiguity and change., • Unite: You know how to say what needs to be said to your coworkers and handle conflict as it arises. \n Benefits: • Medical & Dental Insurance through Blue Cross Blue Shield covered at 85% for employee and family members., • Vision Insurance offered through EyeMed, • Company sponsored 401k with up to a 3% match, • Incentive Stock Options, • 100% Paid Parental Leave, • Flexible vacation time (that we actually use!), • 12 company holidays Perks: • Professional Development Stipend, • Talent Referral Program, • Recognition perks, • Annual company kickoff in Boston, • In-Office Commuter Stipend We Celebrate ___ Robin is committed to creating a workplace that reflects the world around us. We believe that the key to good work is empowering our people and we know that diversity and inclusion are a large part of this equation. Our realities shape our everyday experiences and it’s our responsibility to our employees, our customers and our communities to address the issues with workplace representation. Robin does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #IHSRemote

Job Title: Data Scientist Location: Newark, NJ (Hybrid - 3 days/week) Duration: 12 Months (Temp to Hire) As a Data Scientist, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries., • Perform hands-on data analysis, model development, model training, model testing, model deployment., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Write production-level code and partner with machine learning engineers to push development code into production., • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms., • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs., • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required., • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R., • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud., • Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems, • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing)., • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. 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. Role

Availability & Collaboration Style:. John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. Jo

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “___,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. • Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases not just deployment, but custom configuration, relevance tuning, and performance optimization at scale., • Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and how to blend them with classical keyword search., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • Strong problem solving skills, while being Comfortable navigating ambiguity translating loosely defined scientific workflows and user needs into well-engineered search systems., • Contributions to open-source search projects (Apache Lucene, Solr, OpenSearch, or similar) or active involvement in the search engineering community., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Experience with entity resolution, knowledge graphs, or NLP pipelines that enrich search corpora., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

Resumes sent to ___ will be given first preference. Overview: Exciting job role that involves designing and building the next generation of Conversational AI/NLP products. Build a long-term career in Conversational AI/NLP and Deep Learning. Opportunity to join one of the fastest growing Conversational AI companies in US/Silicon Valley. Specific Responsibilities: • Design and development of Conversational AI based software applications involving Deep Learning, NLP, Conversational AI, and Strong skillset in python related frameworks/tools, and other back-end applications., • Designing, developing, and managing data structures and database management systems., • Experience in building Chatbots / Voicebots are preferred., • Maintaining and upgrading existing products and features. Key Requirements: • Graduate/Postgraduate in engineering, preferably in Computer Science or related., • Min 2+ years of experience working on NLP or Conversational AI products/projects., • At least 2 years of experience with RASA , Python and related frameworks and components., • Understanding and experience in working on Machine Learning algorithms and Data Science projects., • Strong analytical skills and ability to understand concepts quickly., • Experience in working with cross-border and cross-functional teams., • Good communication skills and ability to multi-task., • Proven experience in high-level programming languages, like Python,RASA, software development methodologies, and in building complex web systems.

It's a new day with a new opportunity at 8am! About the role: 8am is looking for a Senior Engineer to join our team of seasoned AI engineers who are delivering on the roadmap of AI features to enhance and expand our 8am suite of products. In this role, you will design and build AI-powered features that delight our customers, create new capabilities, and strengthen our platform. You will collaborate with engineers, product managers, and data scientists to bring cutting-edge AI into production, ensuring it drives meaningful business and customer outcomes. About us: At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters. Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! What you'll do: • Collaborate with product managers and stakeholders to translate business problems into AI-driven solutions., • Design, implement, and integrate AI features into existing 8am products., • Partner with the Data team to ensure the right data is collected, enriched, prepared, and staged for AI consumption and use., • Build and evaluate AI-powered services, from customer-facing prototypes to general availability to all our customers., • Write high-quality Python code to manipulate data, interact with large language models, and assess performance., • Develop tools and infrastructure to support reliable, scalable, and secure AI deployment., • Work with our cloud operations team to deploy AI features, monitor their impact, and continuously improve them. About you: • 5+ years of professional software engineering experience, ideally in full stack SaaS application development or backend., • Proven track record of building and deploying production-ready AI/ML services., • Hands-on experience with LLM frameworks, platforms and related tooling., • Strong Python development skills and familiarity with data manipulation and evaluation workflows., • Experience building scalable data infrastructure and integrating models into broader SaaS systems., • Experience working in AWS cloud environments and with modern DevOps practices., • Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation. Nice to Have: • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field., • Experience fine-tuning and optimizing Large Language Models (LLMs)., • Experience integrating AI into streaming or real-time data flows., • Background in Natural Language Processing (NLP)., • Exposure to fintech or the legal industry. Additional Information The annual salary range for this position is $150,000 to $175,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am: At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day. Here’s how we support our 8Team: • Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees., • Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members., • Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents., • Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching., • Learning and Development: Continuous learning through ___, leadership programs, professional development funds, and individually focused talent development., • Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually)., • Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform. At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day. Diversity, equity & inclusion at 8am: At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. Security advisory: Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Position Summary As our AI Solutions Architect, you’ll serve as the technical and strategic bridge between customers, delivery teams, and executive stakeholders for our AI engagements. You will work closely with the product and analyst team, to deeply understand the business gap/ opportunity, user profile and technology landscape, and act as the single point of design authority on the production solution design. You will ensure all technical designs create a coherent, scalable, integrated compelling solution, and you will work closely with the Product Leadership to balance technical and solution trade-offs and priorities. You will lead the design of end-to-end integration-first AI solutions, with a strong focus on connecting AI-enabled products, cloud services, and data platforms. You’ll own solution design from discovery through handoff, ensuring every engagement is technically sound, financially viable, and positioned for measurable business impact. Key Responsibilities * Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. * Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. * Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. * Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs * Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. * Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. * Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. * Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. * Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. * Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. * Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities. Required Qualifications * 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production. * Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity. * Hands-on experience with at least two of the following: * Deep-learning frameworks (TensorFlow, PyTorch, JAX). * NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns). * Computer-vision pipelines (OpenCV, TorchVision). * AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow). * Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi). * Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon. * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). * Consulting or professional-services experience Bonus Skills * Familiarity with privacy regulations (GDPR/CCPA) and AI governance frameworks (NIST AI RMF, ISO/IEC 42001 draft). * Track record leading GenAI POCs or production deployments (chatbots, copilots, content generation, autonomous agents). * Relevant certifications (e.g., AWS Solutions Architect Professional, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, TensorFlow Developer). Core Competencies * Architectural Systems Thinking – Visualizes complex interactions across data, application, and infrastructure layers. * AI/ML Depth & Breadth – Stays current on techniques, tooling, and responsible-AI best practices. * Client Influence – Builds trust quickly; frames solutions around tangible ROI. * Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality. * Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure)

Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: ___ In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. We are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents. As a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle. If you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we’d love to talk to you. • Lead by example to architect and code the next-generation scientific search engine, building a system that can reason over billions of scientific data points—from chemical structures (SMILES) to unstructured lab documents and instrument data., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases, • Strong understanding of semantic search concepts embeddings, transformers, similarity scoring, ranking logic, relevance tuning, hybrid retrieval., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Experience building and operating microservices or search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and performance tuning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Strong problem solving skills, with the ability to navigate ambiguous scientific workflows and translate them into engineered systems., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Knowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement ___. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. * Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. * Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. * Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. * Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. * Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. * Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. * Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). * Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. * Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). * Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. * Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. * Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. * Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. * Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. * Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. * NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. * Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. * dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ___. Report suspicious activity to or .

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives. Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you. * Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. * Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. * Conduct market research and analyze user feedback to identify opportunities for AI integration. * Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. * Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. * Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive. * Ensure ethical AI usage and compliance with data privacy regulations. * Around 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications. * Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems. * Experience working with data science and engineering teams to develop AI-based features. * Ability to translate complex AI concepts into user-friendly applications. * Strong analytical skills and experience leveraging data to drive product decisions. * Apple hardware ecosystem for work. * Annual Bonus. * Medical Insurance (including vision & dental). * Disability insurance - short and long-term. * 401k up to 4% contribution. * Air Stipend of $3,120/year, paid over 12 monthly installments (for home office, learning, wellness, etc.). * Air Conference 2025 in Las Vegas – an opportunity to meet the team, collaborate, and grow together. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Candidates in the following states are encouraged to apply: FLORIDA Company Overview Join our innovative technology team, developing cutting-edge solutions for agentic, context-aware intelligent conversations. We specialize in building platforms and products that deliver conversational agents pulling real-time data for advanced, interactive experiences. Job Summary We are seeking a Python Developer to join our dynamic team working on a real-time distributed communication framework. You will contribute to our Python-based back-end services, collaborating with Senior Developers and the Product Owner to build and optimize features. This position offers an excellent opportunity to learn from experienced engineers, develop skills in asynchronous programming, containerization, and distributed systems, and contribute to the next generation of AI-powered applications. Key Responsibilities • Python Development, • Contribute to backend services and APIs using Python, with a focus on asynchronous frameworks (e.g., FastAPI, Asyncio, Uvicorn, Aiohttp)., • Write clean, maintainable, and efficient Python code that aligns with team standards and best practices., • Real-Time Communication Systems, • Assist in maintaining and optimizing the existing distributed communication framework., • Support the integration and troubleshooting of real-time data pipelines, ensuring low-latency and high-availability., • Data Processing & Integration, • Use libraries like Pandas, Openpyxl, and Python Dateutil for data manipulation and transformation., • Work with SQLAlchemy, Psycopg2, and Pgvector to manage database interactions and data storage., • AI & Machine Learning Exposure, • Collaborate with Senior Developers to integrate or optimize ML/NLP components (LangChain, Tiktoken, Litellm, Semantic Router) into the communication platform., • Participate in code reviews and brainstorming sessions for AI-related features., • Configuration & Testing, • Help manage environment settings., • Write and maintain Pytest test cases to ensure code quality and reliability., • Implement error monitoring and logging., • Collaboration & Learning, • Work closely with senior team members to understand product requirements, implement solutions, and refine features., • Participate in agile ceremonies (stand-ups, sprint planning, retrospectives), providing updates and feedback., • Seek out opportunities for personal and professional growth, actively engaging in mentorship and knowledge sharing. Required Qualifications • 2+ year of experience in Python development., • Basic understanding of asynchronous programming and/or multi-threading concepts., • Familiarity with data manipulation libraries (e.g., Pandas, Openpyxl, Numexpr, Tqdm)., • Understanding of RESTful API design and web frameworks (e.g., FastAPI, Flask, or similar)., • Exposure to database technologies (SQL or NoSQL) and libraries like SQLAlchemy., • Excellent communication skills and a willingness to learn from senior engineers and collaborate with the team., • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)., • Experience with version control systems (Git, GitHub, or similar). Preferred Qualifications • Experience with in-memory data stores., • Familiarity with Node.js or willingness to learn for integrations., • Exposure to Docker or other containerization tools., • Basic understanding of cloud services (e.g., Azure Storage Blob, AWS, or similar)., • Interest or prior experience in AI/ML or NLP libraries., • Understanding of CI/CD processes and DevOps best practices. Why Join Us? • Mentorship & Growth: Work alongside senior developers committed to your professional development., • Cutting-Edge Technologies: Gain exposure to real-time communication frameworks, containerization, and AI/ML tools., • Innovative Culture: Collaborate in a forward-thinking environment shaping the future of intelligent conversation systems., • Hybrid Opportunity: Enjoy flexibility in a mostly remote setting, occasional visits to main offices required. Location: Remote with some travel for meetings and to offices in Orlando or Deerfield Beach may be required. Compensation: Competitive salary, along with benefits and opportunities for professional development. If you’re passionate about learning and contributing to scalable, real-time Python applications in an AI-driven environment, we’d love to hear from you. Apply today and start your journey with us!

Are you one of the most ambitious people you know? Do you love to build? If so, you'll be right at home at Unwrap. We are seeking an AI Product Manager who has a specific interest in building customer-facing technology for extracting actionable insights from large scale customer feedback. Our customers are some of the world's best companies, from Doordash to Stripe to lululemon and Southwest Airlines. These teams rely on Unwrap to analyze millions of pieces of customer feedback and inform them where they need to focus. You will be the first PM on our AI team. This includes deciding what to build, how to build it, and how to measure its success. This includes developing deep relationships with our customers to understand their needs, crafting the vision for what our insights products need to look like, developing robust measurement criteria for evaluating the quality of our AI products, and hands-on building where needed. This is an in-person role in beautiful Santa Barbara, CA. Our office is downtown, walking distance to great restaurants, coffee shops, and the beach. Who We Are ___ is on a mission to fill the world with products people love. We’re helping companies like Lyft, Stripe, Oura, Microsoft, Perplexity, and Github collect and process feedback more effectively. We ingest feedback from thousands of sources (support channels, surveys, social), and use state-of-the-art NLP technology to extract actionable insights for customers across software, hardware, and retail sectors. We’re currently a team of 30, based in Santa Barbara, and growing quickly. We are venture-backed, raising more than $16M to-date from world class investors. Our founders, two ex-Amazon Alexa Product Managers, were tired of manually sifting through customer reviews, support tickets, and bugs while working on Alexa. They understood the importance of listening to customers and prioritizing their requests effectively, but simply had too much feedback to parse through. So, ___ was born to solve this problem. Our small team is extremely motivated, hard-working, and simply gets stuff done. If this sounds exciting, we can't wait to read your application. What You Bring * You have 4+ years in product management or related roles with a track record of shipping great solutions to real customers * Strong understanding of modern AI/ML concepts (LLMs, embeddings, clustering), with enough depth to debate tradeoffs with ML engineers and data scientists * Hands-on experience defining and tracking quantitative evaluation metrics for AI/ML systems (e.g., confusion matrices, labeling quality, data set quality) * You have experience preparing high quality presentations to senior business leaders (data-backed, polished, drives decisions) * You're able to independently meet with customers and ask the right questions so we can build the best products to serve their needs What You Get * Ground floor impact at an early-stage startup with tremendous latitude over technical strategy and approach * Significant, potentially life-changing equity * Report directly to a founder of the company * Ability to rapidly advance your career while building a really big company * Collaborate with experienced teammates, entrepreneurs, and advisors * Work directly with enterprise customers to ideate and develop solutions

At Gurobi Optimization, we're on a mission! A mission that focuses on mathematical optimization. We empower our customers to expand their use of mathematical optimization technology in order to make smarter decisions and solve some of the world's toughest and most impactful business problems. We're looking for passionate, dedicated, innovative game-changers to join our team and drive the future of Gurobi. As a Senior MIP Developer at Gurobi Optimization, your primary responsibility will be to enhance and expand the optimization algorithms and APIs, which are the core value proposition of Gurobi Optimization. This entails deeply understanding the solver's key algorithmic components, overall design, and significant components. Your role will involve proposing, implementing, and benchmarking new algorithmic ideas to continually improve the solver's capabilities. You will also develop efficient and user-friendly APIs to facilitate easy access to the solver's power. \n What will you be doing? • Lead the development and enhancement of algorithms to solve various mathematical programming problems, such as LP, QP, QCP, MILP, MIQP, MIQCP, etc., • Collaborate closely with a small team of highly skilled software developers. The role involves significant collaborative and independent work., • Offer internal support, as required, to assist with internal product support and marketing functions., • Develop comprehensive test cases and product documentation as part of creating and releasing new product capabilities., • Present new product features and capabilities at technical conferences and actively engage with product users. What experience and qualifications should you have? • Ph.D. in Operations Research, Computer Science, or a related discipline. Alternatively, a master's degree in one of these fields, coupled with multiple years of practical experience developing an LP or MIP solver., • Proficiency in both written and spoken English. Additional language skills are considered advantageous., • Boasts a five-year background in developing high-performance mathematical programming solvers, primarily in C or C++, covering a wide range of problem classes, including LP, MIP, SOCP, NLP, MIQCP, and MINLP, with expertise in algorithms like simplex, interior point, and MIP components. What skills and abilities should you have? • Proficient in understanding, implementing, and extending complex mathematical algorithms., • Experience in evaluating the performance and numerical robustness of a mathematical programming solver., • Comfortable collaborating with international teams in a cross-functional capacity., • Content with operating from a home office in a remote work environment., • Flexible and willing to travel as required based on the specified travel level., • Ability to participate in meetings scheduled across various global time zones, considering reasonable constraints., • Motivated to achieve assigned Objective Key Results (OKRs)., • Committed to upholding company policies and procedures., • Willingness to renew a passport and obtain necessary international travel documents, where applicable. What other requirements should you have? • 3 years of experience in programming in C., • Strong knowledge of computer science, including software design and parallel computing., • Proficiency in using macOS and Microsoft 365. • Knowledge of additional programming languages, such as C++, Java, C#, Python, Matlab, and R, is considered a plus. Your Alignment with our Gurobi Core Values: • Customer Focus: Verbal & written communication skills that bring clarity and build trust., • Power of the Team: Motivated with a team-oriented mindset that aims to both inspire and be inspired by others., • Innovation: The courage to bring ideas forward and see yourself as an integral part of our global team., • Dedication: Organized and agile, focusing on meeting professional objectives while promoting a healthy work/life balance., • Integrity: Promise to uphold honesty as your compass and conduct all business practices with an ethical mindset and fiscal responsibility. \n

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (AppEng) team. In this role, you will directly engage with customers to solve complex technical challenges while simultaneously building scalable solutions that enhance our support infrastructure. You'll own complete customer engagements in a post-sales capacity, and occasionally assist with pre-sales and implementation projects as needed. Your strong engineering background will enable you to resolve sophisticated technical issues, create repeatable solutions, and develop automation that allows the broader AppEng team to focus on high-impact pre-sales activities. This position offers an excellent path to grow into broader implementation and pre-sales roles while making an immediate impact on our customer support experience. As a key member of the Applied Engineering team, you'll influence our customer support strategy, and play a crucial role in ensuring our customers receive exceptional technical assistance throughout their journey with Deepgram. Location This role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey, from initial discovery and proof-of-concept, through implementation and onboarding, to ongoing technical support. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As a support-focused Applied Engineer, you'll be primarily concerned with elevating our technical support capabilities while having opportunities to contribute to the broader Applied Engineering mission in pre-sales, implementation, and more. What You'll Do * Own complete post-sales customer engagements, providing direct technical guidance and solutions * Lead the technical resolution of complex customer support issues, serving as an escalation point for challenging technical problems * Design and implement systematic improvements to our support process and infrastructure * Create automated solutions and self-service tools that address common customer challenges * Analyze support ticket patterns to identify product improvement opportunities and preventative measures * Develop technical documentation, guides, and best practices that enable customers to self-solve issues * Collaborate with product and engineering teams to advocate for customer needs and influence roadmap priorities * Partner with the broader Applied Engineering team to share knowledge and balance support workload * Occasionally assist with implementation projects and pre-sales activities as needed Time Allocation * 50% - Direct customer engagement and technical problem solving * 30% - Building automation and scalable support solutions * 10% - Developing documentation and self-service resources * 10% - Contributing to broader Applied Engineering initiatives and pre-sales activities You'll Love This Role If You * Enjoy direct customer interaction and solving complex technical challenges * Are passionate about creating scalable solutions that enhance customer experiences * Find satisfaction in improving systems and processes to increase efficiency * Have a talent for identifying patterns and translating them into actionable improvements * Are energized by opportunities to apply engineering principles to customer-facing challenges * See technical support as a strategic function that drives customer satisfaction and retention It's Important To Us That You Have * 3+ years of experience in technical support, solutions engineering, or similar customer-facing technical roles * Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, Rust, C/C++, or similar languages * Experience developing automation solutions and improving technical processes * Proven ability to troubleshoot complex technical issues in production environments * Excellent written and verbal communication skills with the ability to explain technical concepts clearly It Would Be Great if You Had * Experience with speech recognition, NLP, or related AI technologies * Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s) * Experience with API-first products and developer tools * Background in support automation techniques and tools * Medical, dental, vision benefits * Annual wellness stipend * Mental health support * Life, STD, LTD Income Insurance Plans * Unlimited PTO * Generous paid parental leave * Flexible schedule * 12 Paid US company holidays * Quarterly personal productivity stipend * One-time stipend for home office upgrades * 401(k) plan with company match * Tax Savings Programs * Learning / Education stipend * Participation in talks and conferences * Employee Resource Groups * AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

About Jorie AI Jorie AI occupies a uniquely interconnected position at the center of the healthcare industry. As an inseparable part of today's healthcare billing ecosystem, we use leading-edge, AI-infused Robotic Process Automation (RPA) to transform end-to-end Revenue Cycle Management (RCM) and provide premier financial and practice management services. Our Work Environment • Remote-First: 100% remote opportunities within the USA., • Career Growth: Significant potential for advancement., • Work-Life Balance: Flexible environment promoting personal well-being., • Culture: Collaborative and friendly company atmosphere. Benefits & Perks • Financial: 401(k) matching up to 4%., • Health: Comprehensive Medical, Dental, and Vision insurance., • Security: Employer-paid Life insurance ($25,000) plus Long/Short Term Disability., • Time Off: 2 weeks PTO and 10.5 paid holidays. Job Overview We are seeking talented Software Engineers to join our Special Projects Team. In this role, you will contribute to high-impact R&D projects focused on RPA, AI, and Revenue Cycle Management. Reporting to the Engineering Manager for Special Projects, you will have the opportunity to shape novel technical initiatives from initial prototype to full production deployment. Key Responsibilities • Develop & Implement: Design software solutions supporting RPA, AI, and healthcare automation., • Code Quality: Write clean, testable, and maintainable code, primarily in Python., • Integrate: Connect AI/ML models, APIs, and healthcare data systems (FHIR, HL7, EDI)., • Collaborate: Partner with the team to define technical requirements and architecture., • Test & Deploy: Conduct unit/integration testing and support deployment via CI/CD and containerization., • Compliance: Maintain strict adherence to industry standards, including HIPAA and HITRUST. Qualifications Required: • Education: Bachelor’s degree in Computer Science, Engineering, or a related field., • Experience: 3+ years of professional software development experience., • Technical Stack: Proficiency in Python, RPA, AI/ML frameworks, and cloud environments (Azure, AWS, or GCP)., • Healthcare Tech: Experience with healthcare APIs or interoperability standards (FHIR, HL7, EDI)., • Authorization: Must be legally authorized to work in the USA (No C2C, No Visa Sponsorship). Preferred: • Experience with Docker, Git, and CI/CD pipelines., • Exposure to NLP, anomaly detection, or predictive modeling., • Background in healthcare automation or RCM systems., • A collaborative mindset with a passion for solving complex healthcare challenges. Location & Hours • Location: Remote (USA only)., • Standard Hours: Monday–Friday, 8:00 AM – 5:00 PM CST., • Flexibility: Occasional flexible hours may be required based on project needs.

Octane® is revolutionizing recreational purchases by delivering a seamless, end-to-end digital buying experience. We connect people with their passions by combining cutting-edge technology and innovative risk strategies to make lifestyle purchases - like powersports vehicles, RVs, and OPE - fast, easy, and accessible. Octane adds value throughout the customer journey: inspiring enthusiasts with our editorial brands, including Cycle World® and UTV Driver®, instantly prequalifying consumers for financing online, routing customers to dealerships for an easy closing, and supporting customers throughout their loan with superior loan servicing. Founded in 2014, we’re a company with 550+ employees and over 30 OEM and 4,000 dealer partners. At Octane, we’re building innovative technology solutions that power smarter, faster, and more efficient decision-making. We are seeking an accomplished AI/ML Technical Lead to drive the design, development, and deployment of advanced machine learning solutions that scale seamlessly in production environments. In this role, you’ll shape the strategy for how AI is leveraged across the organization, partnering with cross-functional teams to translate business goals into technical solutions that are not only state-of-the-art, but also ethical, secure, and reliable. This position is ideal for a hands-on leader who thrives at the intersection of research and engineering. You will mentor engineers and data scientists, establish best practices for MLOps, and ensure models deliver consistent value long after deployment. With opportunities to explore cutting-edge fields like generative AI, large language models, natural language processing, and computer vision, you’ll play a pivotal role in setting the technical standard for Octane’s AI initiatives while guiding the team toward innovation and measurable impact. Responsibilities: • Lead the end-to-end design, development, and deployment of advanced AI/ML systems, ensuring production environments are scalable, efficient, and highly performant., • Collaborate with cross-functional teams to define AI strategy, evaluate use cases, and translate business objectives into actionable technical solutions., • Build, optimize, and maintain machine learning pipelines, covering data ingestion, preprocessing, model training, evaluation, deployment, and ongoing monitoring., • Establish and champion MLOps best practices, including CI/CD for ML workflows, automated testing frameworks, and continuous model performance monitoring to prevent drift., • Serve as a technical mentor and leader, guiding engineers and data scientists on system architecture, coding standards, and efficient development practices., • Research and evaluate emerging AI methodologies, frameworks, and tools, integrating innovative approaches into the organization’s technology stack where applicable., • Ensure AI solutions meet ethical, security, and compliance standards, including model explainability, bias mitigation, and data privacy requirements., • Partner with engineering leadership to set technical strategy, establish architectural guidelines, and define standards that shape the future of AI initiatives at Octane. Requirements: • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field with 5+ years of professional experience, or Bachelor’s degree with 8+ years of experience in AI/ML engineering., • Proven expertise with leading ML/DL frameworks such as TensorFlow, PyTorch, or JAX, with hands-on experience training and deploying models., • Strong programming proficiency in Python, with additional experience using languages such as C++ or Java for performance-critical applications., • Practical experience with MLOps tools and workflows, including MLflow, Kubeflow, SageMaker, or Vertex AI to streamline model lifecycle management., • Deep understanding of data engineering concepts such as data pipelines, preprocessing, and distributed computing, as well as hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Demonstrated success designing, deploying, and optimizing AI/ML systems at scale, including model serving, monitoring, and iteration., • Strong communication and collaboration skills, with the ability to influence technical direction and align diverse stakeholders. Preferred Skills: • Experience with generative AI and large language models (LLMs), including prompt engineering and fine-tuning approaches., • Knowledge of advanced ML domains such as natural language processing (NLP), computer vision, reinforcement learning, or recommendation systems., • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes, to support scalable deployment., • Hands-on experience with infrastructure-as-code (IaC) tools, such as Terraform or Ansible, to enable automated and reproducible infrastructure management., • Contributions to the AI/ML community, such as open-source projects, conference presentations, or peer-reviewed research publications. Compensation: In addition to salary, Total Rewards include bonus eligibility, a stock option package, and benefits as outlined below. The role described above offers a base salary of $150,000 to $210,000 + bonus incentive eligibility. Your offer will be based on location, the alignment of your qualifications with the requirements of the job and internal equity. Benefits: • Robust Health Care Plans (Medical, Dental & Vision), • Generous Parental Leave, • Flexible Time Off (FTO) Policy - Time Off When You Need It, • Retirement Plan (401k) with company match!, • Educational Assistance/Tuition Reimbursement up to $3K/year, • Life Insurance (Basic, Voluntary & AD&D), • Short Term / Long Term Disability, • Robust Ancillary benefits including accident insurance, hospital insurance, etc, • Wellhub (Gympass) Wellness Benefit, • Powersports Safety Benefit Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment. #LI-MZ1 #LI-Hybrid

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and 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. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * 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. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ 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 and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * 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. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,000 USDNew York, NY Salary Range$180,400—$225,000 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.