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Job Description • Data Scientist, • Hybrid, NY, • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions., • Design and build end to end machine learning solutions and statistical frameworks across fan behavior., • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning, • Lead recurring analytical programs with a focus on reproducibility and automation., • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products., • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making., • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions., • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact., • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas, • 2+ years of hands-on experience in a data science role with a track record of shipping models into production., • Extremely proficient in SQL for robust data extraction and analysis., • Strong programming skills in Python., • Familiarity with Git and code/data version control., • Solid statistical foundation, • Exposure to NLP techniques for processing unstructured survey data., • Excellent communication, problem-solving, and critical thinking skills., • Self-started and willingness to take on challenging initiatives, • Effective time management and attention to detail, • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).

Job Description At Palona, the Forward Deployed Engineer is a new kind of builder—born from the era of adaptive, multimodal AI systems. This role sits at the intersection of engineering, customer partnership, and real-world operations. You’ll work directly with operators in one of the most dynamic industries in the world and help guide AI agents that learn and evolve alongside them. If you’re the type of person who loves both systems and people, who’s energized by real-world complexity, and who wants your work to have immediate impact in live environments, this is your path. Responsibilities As a Forward Deployed Engineer, you’ll be the connective tissue between our product, our customers, and the AI agents we deploy into the field. You will: • Partner deeply with operators and customers to understand how the business actually runs, uncover real-world workflows, and translate them into system behavior., • Scope, design, and deploy adaptive AI agents that evolve with the customer’s environment—not static models, but living systems that improve through interaction., • Build and integrate production-ready applications that connect Palona’s AI platform to customer infrastructure., • Develop demos, prototypes, and workflows that show how adaptive agents solve real operational problems., • Debug edge cases in the wild and convert observations from real deployments into product intelligence and system improvements., • Ensure reliability, safety, and performance of AI agents operating in fast-moving, operationally intense environments. Requirements Required • Strong full-stack development skills (Python, JavaScript, or similar), • Experience in customer-facing or client delivery roles, • Ability to thrive in fast-moving, resource-constrained, startup-style environments, • Fast learner capable of adapting to new tools, domains, and requirements, • High ownership mindset with the ability to work independently and follow problems end-to-end, • Excellent communication with technical and non-technical stakeholdersPreferred, • Deploying LLMs, multimodal models, or generative AI systems, • Background in NLP, computer vision, or multi-agent systems, • Sales engineering, pre-sales, or customer success engineering in high-growth environments, • Experience working in domains with heavy operational complexity (hospitality, logistics, retail, etc.), • Curiosity and empathy to explore both the technology and hospitality, • Technical fluency to diagnose, build, and refine systems, • Clear communication across both technical and non-technical teams, • Adaptability in environments where requirements shift weekly, • Ownership to take problems from discovery to deployment

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: * Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. * Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. * Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. * Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. * Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. * Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. * Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. * Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: * Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. * Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). * Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). * Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. * Problem-solver with a product mindset and bias toward outcomes. * Excellent communication skills; able to partner across engineering, product, and business teams. * Comfortable in fast-paced, agile startup environments. * Bachelor’s degree in computer science or related field. Preferred * Master Degree or PhD in computer science or related field * Experience in training and deploying large language models. * Familiarity with cloud computing platforms and distributed computing. * Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. * Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). * What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description Are you passionate about the future of AI and its potential to transform business operations? Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team. As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users. Responsibilities: • Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives., • Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space., • Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications., • Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand., • Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities., • Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance., • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus., • Proven experience as a Product Manager in the AI or Conversational AI industry., • Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML)., • Familiarity with chatbot platforms, frameworks, and tools., • Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements., • Strong leadership and communication skills to effectively collaborate with cross-functional teams., • Experience in Agile software development methodologies.

Job Description • Role: Senior Data Scientist, • Location: New York City, • Type: Hybrid Position Summary Our client is looking for a Data Scientist who will play a crucial role in providing analytics and data science support to a client within our Sports, Media and Entertainment practice. The primary responsibility of this role is to leverage your expertise in analytics, data science, machine learning and AI to empower the client in making informed business decisions. You will work with a dynamic team and will have true ownership and impact over developing analytics solutions and data products for the stakeholders. If you're a passionate sports fan who understands both the emotional and commercial dynamics of the industry - and you thrive in fast paced, collaborative environments, we'd love to connect. Responsibilities: • Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions., • Design and build end to end machine learning solutions and statistical frameworks across fan behavior., • Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning, • Lead recurring analytical programs with a focus on reproducibility and automation., • Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products., • Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making., • Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions., • Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact., • Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas, • 2+ years of hands-on experience in a data science role with a track record of shipping models into production., • Extremely proficient in SQL for robust data extraction and analysis., • Strong programming skills in Python., • Familiarity with Git and code/data version control., • Solid statistical foundation, • Exposure to NLP techniques for processing unstructured survey data., • Excellent communication, problem-solving, and critical thinking skills., • Self-started and willingness to take on challenging initiatives, • Effective time management and attention to detail, • Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics)., • 4-5 years experience, • Industry experience in Sports or Media., • Familiarity with additional data analysis and visualization tools., • Advanced statistical analysis and modeling skills., • Familiarity with data science governance practices

Job DescriptionAbout Pryon: We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. The Federal Solutions Manager position at Pryon offers a unique opportunity to leverage cutting-edge AI technology to address and solve the critical organizational challenges of both prospective and existing customers within the Federal sector. This role is instrumental in engaging with executive and leadership levels within US Government agencies and understanding their key challenges and goals. The ideal candidate will be able to think creatively on how to apply NLP, AI and ML techniques to knowledge management use cases, and will feel comfortable distilling and presenting technical solutions to both business and technical audiences. Successful candidates must possess strong structured thinking, communication skills, technical knowledge (ideally in the AI/ML/NLP space), as well as proven abilities to work jointly with software engineers, data scientists, and other subject matter experts.In This Role, You Will: • Develop compliant solutions for federal clients, adhering to regulations and security standards, ensuring seamless integration, • Forge strategic relationships with business and technology leaders within US Government agencies to uncover high-impact use cases for the Pryon Platform, • Define the benefits of implementing the Pryon Platform to address specific business challenges faced by federal customers, • Influence product development and strategy through direct customer interactions and feedback, ensuring alignment with federal requirements and priorities, • Partner closely with Pryon's sales leadership to develop and implement effective account strategies targeted at the federal sector, • Collaborate with Product Marketing, Engineering, and R&D teams to create market-relevant case studies and technical materials that resonate with federal customersWhat You'll Need to Be Successful:, • Required: Government-issued clearance (Secret; TS/SCI preferred), • Experience in programming (ideally Python or JavaScript) with a focus on NLP, ML, AI, and data science, • Knowledge of cloud-based architectures, particularly those compliant with federal security and data protection standards, • In-depth knowledge of the Federal Acquisition Regulation (FAR), Other Transaction Authority (OTA), Authority to Operate (ATO) requirements, and proficiency in navigating government contracting procedures, • Insight into the competitive landscape in NLP and knowledge management platforms, especially within the context of federal applications, • Strong public speaking skills and the ability to engage effectively with senior stakeholders in the government sector, • Advanced degree in Business Administration, Computer Science, Data Science, Engineering, or Statistics is highly advantageous, • Bachelor’s degree in a STEM field from an accredited university, • At least 4 years of professional experience, including 2 years in a role with significant exposure to management consulting, AI/ML, NLP, knowledge management, or cloud technologies, • Entrepreneurial spirit, with a proven ability to thrive in a fast-paced, dynamic environment, • Exceptional teamwork capabilities, with a knack for coordinating efforts across diverse functional teams, • Experience or deep interest in working with AI/ML, NLP, knowledge management, or cloud computing technologies

Job DescriptionJob Description Summary – AI Optimization Engineer (Onsite, Jersey City, NJ) We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing, deploying, and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning, deep learning frameworks, model optimization techniques, and scalable AI infrastructure. The engineer will work closely with AI, infrastructure, and DevOps teams to design efficient model training and inference pipelines, implement SLURM-based workload orchestration, and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning, quantization, and knowledge distillation, managing inference workflows using Triton Inference Server, and monitoring system performance using Prometheus and Grafana. This role requires hands-on experience with HPC environments, GPU clusters, containerization technologies, and Linux system administration, along with strong knowledge of machine learning algorithms, deep learning architectures, and modern AI development tools. Experience with cloud platforms, vector embedding, and enterprise-scale AI deployments is highly preferred. Core Responsibilities * Design and optimize AI/ML workloads on GPU-based HPC clusters. * Deploy and manage large language models (LLMs) in scalable production environments. * Implement model optimization techniques including pruning, quantization, and knowledge distillation. * Develop and manage automated job scheduling using SLURM with REST and Flask APIs. * Deploy ML models using containerized microservices architectures. * Monitor system performance using Prometheus and Grafana. * Optimize inference pipelines using Triton Inference Server and TRTLLM. * Conduct exploratory data analysis and model performance evaluation. * Collaborate with infrastructure and ML teams to improve scalability and efficiency. Skills Required The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning, including NumPy, scikit-learn, TensorFlow, PyTorch, and Keras, with hands-on knowledge of supervised and unsupervised learning, neural networks, transformer-based models, NLP, CNNs, and Generative AI concepts. The role requires expertise in AI infrastructure and optimization, including HPC environments, GPU clusters, SLURM workload management, Triton Inference Server, TRTLLM, and model optimization techniques such as pruning, quantization, and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker, Kubernetes, MLFlow, Terraform, Jenkins, GitHub, and HuggingFace, along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development, Linux administration (RHEL/CentOS), container runtimes like Enroot, Pyxis, and Podman, and experience with data analysis and visualization tools such as Plotly, Seaborn, and Matplotlib.

A leading global financial services firm is seeking a Senior Associate Machine Learning Scientist specializing in Natural Language Processing.

A leading financial technology company in New York is seeking a talented individual with expertise in Natural Language Processing and machine learning.You will partner with cross-functional teams to deliver innovative AI-powered products, leveraging a range of technologies.The ideal candidate holds

Job DescriptionWho we are. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup The Manager of Solutions Engineering (Presales) Role. As Manager of Solutions Engineering (Presales), you will lead a team of technical experts who serve as the critical bridge between our sales organization and prospective customers. You will ensure that technical evaluations are executed flawlessly, that our deepfake detection platform is properly positioned to solve customer challenges, and that your team becomes trusted technical advisors to enterprise and government buyers. This role requires deep technical acumen, strong leadership capabilities, and the ability to translate complex AI and cybersecurity concepts into business value. You will build and scale a high-performing team that drives technical wins, accelerates sales cycles, and ensures customers understand the full capabilities of our multi-modal detection platform. Responsibilities include: * Build a repeatable demo and POC/Trial program which enables the GTM team with self-serve capability * Oversee complex technical evaluations, proof-of-concepts (POCs), and pilot programs that demonstrate the value of Reality Defender's detection capabilities * Partner closely with Account Executives to qualify opportunities, conduct technical discovery, and architect solutions that address customer use cases across fraud prevention, brand protection, and content integrity * Define the technical sales motion and pre-sales methodology, ensuring alignment with the overall go-to-market strategy * Deliver and enable compelling technical demonstrations and presentations to technical and executive audiences, showcasing detection across video, audio, image, and text modalities * Lead, mentor, and scale a team of Solutions Engineers supporting enterprise and government sales cycles * Serve as the technical voice during customer engagements, articulating our API-first architecture, integration patterns, and deployment models * Drive the technical win strategy for strategic deals, including developing custom solutions, integration architectures, and security documentation * Establish best practices for technical qualification using frameworks like MEDDPICC to ensure proper vetting of opportunities * Build and maintain technical collateral, including reference architectures, integration guides, POC guides * Create scalable enablement programs to onboard new technical and non-technical GTM team members * Serve as the primary feedback loop between Prospects/Customers and Product/Engineering teams, translating field insights into actionable product requirements and roadmap input * Ensure the team maintains deep expertise in AI/ML, deepfake generation techniques, API integrations, cloud architectures, and cybersecurity frameworks * Develop technical success metrics and reporting frameworks to measure SE effectiveness, time-to-value, POC win rates, and technical close rates * Support RFP/RFI responses with technical content, architecture diagrams, and security/compliance documentation for regulated industries * Build strong relationships with technical champions and economic buyers at key accounts, establishing credibility and trust throughout the sales cycle Who you are. * 5+ years of experience in Solutions Engineering, Sales Engineering, Solutions Architecture, or forward-deployed technical roles at B2B SaaS or cybersecurity companies * 2+ years of people management experience, including hiring, coaching, and scaling technical teams * Deep technical expertise with API-first platforms, RESTful architectures, webhooks, and cloud-based integrations (AWS, Azure, GCP) * Experience supporting complex enterprise and government sales cycles with 6-12+ month timelines * Proven track record of running successful POCs, pilots, and technical evaluations that lead to closed business * Strong understanding of AI/ML concepts, computer vision, NLP, and generative AI technologies; familiarity with deepfakes or synthetic media is a plus * Experience with cybersecurity, fraud prevention, or risk management solutions and understanding of security frameworks (SOC 2, FedRAMP, NIST) * Exceptional presentation and communication skills with ability to engage audiences ranging from developers to C-level executives * Strong consultative approach with ability to uncover technical requirements, map them to product capabilities, and articulate business value * Experience working cross-functionally with Sales, Product, Engineering, and Customer Success teams to drive customer outcomes * Analytical mindset with ability to establish metrics, track team performance, and use data to drive improvements * Ability to thrive in a fast-paced, high-growth startup environment while building scalable processes and frameworks * Willingness to travel up to 25-30% for customer meetings, conferences, and strategic opportunities What we offer. Reality Defender offers the following benefits to all our employees, regardless of location: * Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents * Dental and Vision plans with 100% premium coverage for employees and their dependents * Short/Long-term disability and life insurance plans with 100% premium coverage for employees * FSA/HSA and 401k programs * Equity compensation * 20 days of PTO per year * 12 weeks of Parental Leave * Learning and Development budget * Monthly wellness benefits * Annual company-sponsored offsite For employees working from Reality Defender’s HQ in NYC, we offer the following benefits: * Daily in-office lunch through UberEats * Commuter benefits * Remote Fridays * Happy Hours and other local events Compensation Range: $165K - $195K

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

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

At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP. Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe,

Core Skills & TechnologiesNLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e. Working with Large Language Models (LLMs) and the latest NLP technologies, your role will be pivotal in project success and delivering client-focused AI solutions. Stay updated with t

The ideal candidate will have over 4 years of experience in building complex models, with strong skills in NLP, Time Series, and Bayesian methods.

A technology company is looking for a Data Scientist who will apply statistical modeling and machine learning to solve complex problems such as predicting job match quality and detecting ghost jobs.This remote-first role is preferred in New York City but flexible in multiple major U.The ideal candid

A healthcare technology company in Jersey City is seeking Senior Machine Learning / Software engineers to design, build, and deploy scalable ML systems for biomedical information processing.This role demands strong knowledge in machine learning and software engineering best practices.The ideal candi

The ideal candidate has a strong background in NLP, advanced Python skills, and a commitment to ownership and collaboration.

A healthcare technology company is seeking a Machine Learning Engineer to develop AI-driven solutions.This role entails designing and implementing ML systems for various applications, including document understanding and AI integration.Candidates should have relevant educational backgrounds and expe

Principal Associate, Data Scientist - NLP. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from des

Canoe Intelligence is seeking a Senior Machine Learning Engineer to design and deploy cutting-edge models for analyzing complex financial documents.Responsibilities include developing and optimizing ML services and collaborating with various teams.Ideal candidates will have over 5 years of effective

A leading financial technology firm is seeking a Data Scientist to innovate within their mobile app, utilizing machine learning technologies to deliver personalized user experiences.You will collaborate with cross-functional teams to develop AI-powered solutions that enhance customer interactions.Ca

At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed.We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees.The Chief Data & Analytics Office (CDAO) accelerates our da

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform.AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.Experts contribute directly to how A

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats.We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital syste

Nextdoor (NYSE: NXDR) is the essential neighborhood network.Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries.Nextdoor builds innovative technology to foster local community, share important

Our mission at Oura is to empower every person to own their inner potential.Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app.We've helped millions of people understand and impro

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment.The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems.The Principa

Sleeper is a sports-focused games platform with messaging at its core.We are a young and energetic company, fueled by a passion for sports and a drive for innovation.Our mission is to create a digital playground for sports fans and their friends to hang out.We bring people together over sports.At Sl

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.You will build data products to extract valuable business insights, analyze trends and help us make better decisions.We expect you to be hig

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

Reports to: Head of Data Science.Location: Remote, but we will be strongly weighting applicants who are in or willing to move to Austin.Applications will be open through early April with an anticipated start date of April 20, 2026.Funga is a public benefit corporation harnessing forest fungal networ

The New York Independent System Operator (NYISO) manages the efficient flow of electricity on more than 11,000 circuit-miles of high-voltage transmission lines, dispatching power from hundreds of generating units across the state.The NYISO’s Operations department invites applications for a full-ti

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate busi

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries.Founded in 2013 by security and risk experts Dr.Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating t

Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA.In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enh

Figma is growing our team of passionate people on a mission to make design accessible to all.Figma helps entire product teams.Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team’s services to internal and external clients.The Senior position provides guidance and support as needed to junior

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare.Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base.We are rapidly growing and are