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Knowledge of large language models, natural language processing (NLP), computer vision, and time-series analysis techniques as applied to Agentic AI and risk modeling. Hands-on experience with data governance, metadata management, and data lineage platforms to maintain high data quality and auditabi

Job Description Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Join Oscar's AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you'll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You'll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You'll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members. You will report to the Sr. Director, AI. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems., • Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics., • Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback., • Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences., • Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation., • Contribute to Oscar's AI strategy and technical vision, helping shape the future of healthcare through technology., • Other duties as assignedQualifications, • 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments, • Strong Python programming skills, • Experience solving complex, ambiguous problems, • Experience designing and analyzing experiments or evaluations, • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering., • Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact., • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang)., • Experimental mindset: comfort with testing hypotheses and iterating on failures. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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.

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 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 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.

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

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

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 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 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 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

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,

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.

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

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 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

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

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

Core Skills & TechnologiesNLP and LLM Expertise: Profound knowledge of NLP and transformer models including LLMs (e. Collaborate with cross-functional teams to integrate NLP technologies into broader AI solutions. Working with Large Language Models (LLMs) and the latest NLP technologies, your role w

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

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

An established industry player is seeking a Principal Data Scientist to drive innovation using cutting-edge AI and machine learning technologies.You will collaborate with diverse teams to develop AI-powered products that transform customer interactions.This role offers the chance to work with vast d

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

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

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

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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

Reddit is a community of communities.It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet.Every day, Reddit users submit, vote, and comment on the topics they care most about.With 100,000+ active communities and approximately 1

We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better.In this role, you will work closely with our data, product, growth, and engineering

We are seeking a senior data scientist to lead our demand modeling and product advancement efforts.As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform.The ideal candidate has experience building and maintaining accurate and i

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

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

Data Scientist – Machine Learning & Predictive Analytics.RDA is a digital transformation consultancy helping future-ready enterprises solve complex business challenges through AI, strategy, and customer experience.We’re expanding our data capabilities and seeking a Data Scientist to design and d

Every company needs supplies and services to operate.From laptops and rental cars to pens and pallets, all companies have procurement needs.That’s where CoreTrust comes in.CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and servi

Prominence Advisors is actively seeking a.Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data.With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex

NLP, and other statistical/ML models for predictive analytics.

Reddit is a community of communities.It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet.Every day, Reddit users submit, vote, and comment on the topics they care most about.With 100,000+ active communities and approximately 1

AI (MMAI) models and workflows that integrate genomic, transcriptomic, imaging, and clinical data for various oncology applications.This role is critical to advancing the science and technology of MMAI, driving innovation in predictive modeling to benefit patient outcomes, and supporting product str

Role: Data Scientist – Machine Learning Focus.This role is open to US Citizens, Green Card holders, GC-EAD only.Adidev Technologies is seeking 2 yrs of relevant experience in Data Science.A project can last anywhere from 6 months to 18 months.Salary varies depending on experience, and we are in se

Shine Associates, LLC has been retained to search, identify and recruit a Data Scientist on behalf of our client (‘Company’).Shine Associates, LLC has been exclusively retained on this assignment.Information contained in this position specification as well as any other information concerning the