Machine learning engineer jobs in Bayonne, New Jersey - Page 5Create job alerts

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career We’re looking for a Principal Machine Learning Engineer to join Cortex Xpanse. We help protect the world’s most essential organizations by finding risks on the Internet that no one else can find. Our team is responsible for some core products which allows us to attribute Internet assets to customer networks using a human-in-the-loop machine learning system while turning trillions of Internet data points into critical cybersecurity insights. The Asset Attribution ML-powered system helps provide customers with the world's most accurate view of their Internet-facing digital assets. In this role, you will be an integral part of a group of Software and ML engineers that continuously surveys petabytes of data to find risks online and protect some of the world's most important and relied upon organizations from malicious software and hackers. You will directly contribute to our mission by building AI/ML systems that increase the effectiveness of our security products, and you will directly work with stakeholders to define, design and implement improvements to our software. You will be a technical leader within the team, with responsibility for mentoring and supporting your team members, developing features from end-to-end, and supporting our systems in production. You’ll leverage your data and software engineering knowledge to build new features, deploy data-driven automations, and ultimately augment our teams with ML-assisted workflows. Your Impact * Prototype, build, and improve AI systems and ML models, including large language model (LLM) and generative AI applications, to automate and enhance team workflows * Strengthen infrastructure for data ETL, model training and lifecycle, MLOps, batch and real-time processing, and inference * Mentor and coach other ML engineers on developing, fine-tuning, and evaluating both traditional and generative AI models * Work directly with security professionals who use your software and AI systems every day to help them be more effective and improve the quality of their work * Develop feature engineering, data pipelines, and transformations to deliver reliable data for model training and LLM inference * Measure and refine model performance through metrics-driven evaluations and continuous experimentation * Deliver, monitor, and continually improve secure AI and ML systems in production, including LLM-powered tools and automation features Qualifications Your Experience * Experience with Python including delivering production-quality code and debugging in a production environment * Expertise in one or more of: * MLOps expertise (e.g. Feature Store, Model Serving, Model Monitoring) * Data Engineering expertise (e.g. Airflow, Apache Beam, Dataflow, SQL) * Designing and building applications powered by LLMs and generative AI (for example: retrieval-augmented generation, intelligent search, entity linking, summarization, conversational interfaces, automated reasoning, and code understanding) * Applying modern AI techniques including LLMs, embeddings, fine-tuning, and prompt engineering, using frameworks such as Hugging Face Transformers, LangChain, OpenAI API, and PyTorch * Experience operating ML systems in production environments * Conceptual thinking and creativity; you demonstrate an ability to consider various techniques to solve different modeling problems we face * Ability to collaborate and to convey complex technical concepts to both technical and non-technical stakeholders Additional Information The Team Xpanse helps protect some of the world’s most important organizations by finding risks on the Internet that no one else can find. Your expertise will help define and secure the perimeters of the world's largest and most consequential organizations in both the public and private sector. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $157,200 - $254,100/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

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

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We're seeking a Senior Software Engineer to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll own the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture. About the Team You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly's regulated products. Responsibilities • Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms., • Design extensible system architectures and make pragmatic trade-offs that balance performance, security, and maintainability., • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability., • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack., • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation., • Lead technical design reviews and system decomposition efforts across teams., • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements., • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation., • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards, • Contribute to the necessary technical documentation required for regulatory submissions. Requirements • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field (or equivalent experience)., • 8–12 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar)., • Demonstrable capability in designing, implementing, and securing RESTful web services, • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes)., • Experience with AWS, GitHub, and continuous integration pipelines, • Proven track record of architecting and delivering scalable systems in production environments., • Experience mentoring engineers and raising the technical bar through reviews and design feedback., • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability., • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks)., • Experience designing and optimizing end-to-end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements., • Hands-on experience with Computer Vision and Deep Learning techniques used for medical image processing. TTC*: $185k - $243k *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates! We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge.Responsibilities • Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines., • Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models), • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally., • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Perform other job-related duties as assigned.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++, • System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus., • Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 3+ years of experience, depending on education, as an MLE., • 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes, • 1+ year of experience leading projects with at least 1 other team member through completion., • 2+ years of experience for designing and developing online and production grade ML systems. #Hinge

Job Description Vestwell is the financial technology company powering the new savings economy. The New York City-based fintech platform redefines how people save for the critical aspects of life across retirement, education, and healthcare savings needs. Today, Vestwell enables over 350,000 businesses and nearly 1.5 Million active savers, with over $30 billion in assets saved across all 50 United States. Vestwell offers a range of products, including workplace-delivered retirement plans, employer-offered student loan repayment benefits, and various savings accounts for education, emergencies, and individuals with disabilities. Vestwell's platform serves a diverse clientele, including financial advisers, employers, third-party administrators, financial institutions, payroll providers, government agencies, and individual savers. To learn more, visit vestwell.com Who are we looking for? The Engineering team is seeking an experienced Senior Software Engineer to join our AI Solutions team. The ideal candidate will be instrumental in developing robust AI-driven applications, contributing to both our product offerings and internal process enhancements. This role demands a blend of technical prowess, innovative thinking, and a commitment to quality. You're a great fit for our team if you can balance detail-oriented tasks with long term strategy and scale initiatives. Most of all, you must be passionate about what you create and about the impact it can have. What will You Be Doing? • Design, develop, and maintain AI services, focusing on high-quality, scalable, and reliable production-level code., • Work collaboratively with cross-functional teams to integrate AI features into products and internal tools., • Prototype and iterate on solutions rapidly in Python, with a strong grasp of machine learning principles., • Leverage APIs from leading LLM providers to implement RAG and agentic workflows across the enterprise, • Utilize machine learning frameworks such as scikit-learn and PyTorch to implement and optimize algorithms., • Create front-end prototypes and tools using JavaScript to showcase and interact with AI functionalities., • Analyze data to extract insights, inform decision-making, and measure the impact of AI solutions.Requirements The Necessities, • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field., • Minimum of 3 years of experience in ML/AI software development, with a proven track record of delivering production-level code., • Experience delivering Python applications to production., • Familiarity with basic machine learning concepts and experience in applying them using frameworks like Scikit-learn and PyTorch., • Experience with ETL and data and model pipelines, • Experience with Docker, AWS, and other cloud services for deploying and scaling applications., • Knowledge of testing frameworks and commitment to developing reliable, well-tested code., • Experience with RDBMS (Postgres preferred), • Strong knowledge of AI algorithms, techniques, and technologies., • Strong communication, collaboration, and interpersonal skills., • Experience in an Agile environment working with tools such as GitHub, Jira, and Jenkins.The Extras, • Fintech experience The expected base salary range for this position is $165K - $200K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company. Please note that salary bands are based on NY and other similar metro areas and may differ based on where the role is ultimately hired. OUR BENEFITS We're an innovative, high-growth company, with lots of exciting milestones ahead. We value health and wellness at Vestwell and in addition to a dedicated Employee Wellbeing Committee, we offer competitive health coverage and generous vacation offering. We have adopted a hybrid office policy, but all employees are welcome at our bright, comfortable office with many workspace options in our Midtown Manhattan office, so everyone has a setting that is the most productive for them. Oh, and naturally we have a great 401(k) plan! OUR PROCESS It starts the same for every candidate: getting to know the team members through 1-2 conversations about Vestwell, your experience, and your interests. Next steps can vary by role, but the usual next steps are a skill or experience screen (e.g. a coding interview for an Engineer, a portfolio review for a Designer, deeper experience call for other roles) which leads to a virtual or in-person interview panel after that if the screens go well. Before making an offer, our interview process concludes with a references check stage for your recruiter to meet with a current or former supervisor and peer. We prioritize transparency and lack of surprise throughout the process. For your awareness you will only receive correspondence from any other domain not ending in Vestwell.com is not our Recruitment team. Vestwell's Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell's California Privacy Rights Policy.

Job Description Location: NYC In-person 5 days/week Seniority: 5+ years of experience in platform engineering or infrastructure development Compensation: * Salary: 200K to 275K * Competitive equity * Visa sponsorship not available (U.S. citizens only) Employment Type: Full-time About the Role As a Platform Engineer, you will play a critical role in building and maintaining the infrastructure that powers core AI technologies. You will work at the intersection of AI, infrastructure, and enterprise systems, ensuring that platforms are reliable, scalable, and secure, enabling product and AI teams to deliver cutting-edge AI-native applications. This position offers an opportunity to own large-scale deployments, collaborate with cross-functional technical teams, and operate in regulated enterprise environments where reliability and performance are paramount. ️ Core Responsibilities * Design, build, and maintain the foundational infrastructure and services that power large-scale AI platforms. * Develop and optimize systems that enable seamless AI model integration into production environments. * Create and manage APIs, microservices, and data pipelines to support data processing, analytics, and AI model operations. * Build advanced Retrieval-Augmented Generation (RAG) systems, including optimized embeddings and indexing. * Implement and maintain security, compliance, and monitoring frameworks across all environments. * Collaborate with AI researchers and data scientists to improve MLOps frameworks for model deployment and lifecycle management. * Work closely with forward-deployed engineers to meet client-specific infrastructure needs. * Support product engineers by developing reusable platform components and scalable backend services. * Participate in architectural planning and contribute to the long-term technical vision of the platform. * Deploy and manage solutions across AWS GovCloud, on-prem, and multi-cloud environments (AWS, GCP, Azure). Qualifications Experience and Background * 3+ years of software development experience focusing on scalable, distributed systems. * 5+ years of experience building platforms supporting AI or ML model deployment and management. * Proven experience deploying across on-prem and cloud environments (AWS, GCP, Azure). * Hands-on on-prem deployment experience required. * Previous work in Series B to pre-IPO startups with high growth and evolving infrastructure. * Experience in regulated industries (finance, healthcare, government, or enterprise) is a strong plus. * Exposure to enterprise software deployment or consulting environments. * Bachelor's degree in computer science, Engineering, or related technical field. Technical Skills * Deep expertise in AWS, with working knowledge of GCP and Azure. * Strong proficiency in Python, including deployment of scalable systems using FastAPI. * Solid understanding of microservices architecture, API design, and distributed systems. * Familiarity with data analytics platforms or business intelligence tools. * Working knowledge of machine learning concepts and MLOps infrastructure. * Experience with containerization (Docker, Kubernetes) and CI/CD automation. Soft Skills and Attributes * Excellent communication and collaboration abilities. * Extreme ownership takes initiative and drives work to completion. * Strong problem-solving and creative thinking skills. * Reliable, detail-oriented, and highly accountable.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: The Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end. This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. This is an opportunity to join as a founding member of the team and help shape its future direction. Above & Beyond: The Impact You'll Make: • Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutions, • Own existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform), • Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve manner, • Improve the reliability around all components of an ML platform capable of powering critical product features used by millions of users Always Be Curious: Skills You've Learned Along The Way:Technical Skills: • Proven track record in designing and implementing mission-critical, high-reliability systems with rapid deployment, • Outstanding programming proficiency, with particular expertise in Python, • Strong working knowledge of AWS or equivalent cloud platforms, • Hands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL), • Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experienceInterpersonal Skills:, • Ability to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving and Decision-Making:, • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibility One Team, One Dream: What We Need To Work Together: • Experience: 5+ years of industry experiencePreferred Qualifications:

Job Description About Parento Parento is the first provider for paid parental leave, distributing the first and only paid parental leave insurance and parental support program. Our holistic program enables companies to offer paid maternity and paternity leave to all employees. Designed to support working parents while alleviating HR's workload, Parento's white glove leave concierge handles the complexities of leave management, payroll calculations, compliance, and claims, while providing emotional and parent coaching for employees. Our proprietary program boasts a 95% return-to-work rate and guides employees through the process before, during, and after leave to ensure a seamless re-onboarding. About the Role We're seeking a driven, curious, and detail-oriented Software Engineer to join our growing engineering team. This role is ideal for someone with strong skills in PHP, Laravel, and VueJS, that's eager to contribute to real-world SaaS products and platforms. You'll work on core systems powering our customer-facing web portal and backend infrastructure while shaping the future of a modern insurance-based program. What You'll Do • Develop, test, and maintain scalable backend services that power an enterprise customer portal using PHP and the Laravel framework., • Build and enhance frontend interfaces using Tailwind CSS and VueJS, ensuring responsive, user-friendly design., • Collaborate closely with our product manager, designers, VP of Engineering, and other internal stakeholders to turn requirements into robust features, • Work on SaaS-based architecture, helping optimize performance, maintainability, reliability and scalability., • Participate in code reviews, sprint planning, and system design discussions. Comfortable using AI code-generation tools (Cursor AI, Claude, Copilot, etc.), • Assist in integrating, training and applying machine learning algorithms or big data pipelines to production workflows, • Solid proficiency in PHP, Laravel, and VueJS, • Academic or hands-on experience working on SaaS products and web portals, • Exposure to or interest in big data processing and machine learning concepts, • Familiarity with version control systems (e.g., Git), REST APIs, and databases like MySQL or MariaDB. Familiarity with analytics tools such as Metabase., • Familiarity with a cloud-based architecture that spans multiple public clouds (AWS, Digital Ocean, Google Cloud)., • Prior freelance or full-time work experience in Fintech or InsurTech industries, • Certification on using any public cloud platform (e.g., AWS, GCP, Azure), • Experience with data pipelines or ML frameworks (e.g., TensorFlow, Spark), • Certification in Kubernetes (Certified Kubernetes Application Developer - CKAD), • Comfortable working on WordPress and CMS platforms like Statamic or Ghost

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.Job Title:& Senior Cloud Infrastructure EngineerLocation:& San Francisco, CA. Remote unavailable.Modality: On-Site only. & & & & & & & & & Must live within commuting distance of San Francisco or be willing to relocate.Relocation Assistance: NoEmployment Type:& Salaried W2 Full-Time.Salary Range: $175,000 - $250,000& About the company We represent a pioneering open source technology company in San Francisco that is transforming the way creators interact with generative AI. They are the team behind a powerful, node based visual interface that gives artists, developers, and innovators the ability to design, control, and customize AI workflows with complete flexibility. Their platform allows users to connect modular components, build complex pipelines, and run everything locally with impressive speed and precision. Their mission is to make generative AI open, transparent, and accessible to everyone. Built around community collaboration and creative empowerment, their tools help users experiment freely and bring their ideas to life. Whether it is visual storytelling, image generation, or advanced machine learning, their technology gives creators the freedom to explore without limitations. & About the Role In this role, you will take the lead on designing, deploying, and maintaining large-scale distributed systems that power AI workloads. The ideal candidate is deeply technical, self-sufficient, and motivated by solving complex infrastructure challenges. You will work closely with core engineers to shape the company’s long-term infrastructure vision while ensuring scalability, performance, and reliability across environments. & What You’ll Do * Design, build, and maintain the core infrastructure that powers AI workloads at scale * Manage and automate GPU compute clusters using tools such as Python, Kubernetes, Terraform, and Ansible * Architect and operate systems for orchestration, observability, distributed storage, and networking * Ensure reliability, scalability, and performance across production environments * Collaborate closely with core engineers to design infrastructure for new features and systems * Contribute to technical strategy and long-term infrastructure vision * Drive best practices for infrastructure automation, deployment, and monitoring & Requirements * 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large-scale distributed systems * Skilled in Python and comfortable working with infrastructure-as-code tools such as Terraform and Ansible * Familiar with container orchestration systems such as Kubernetes and related tooling like FluxCD, Prometheus, and Grafana * Capable of managing high-performance GPU environments across cloud and bare metal setups * Highly adaptable, resourceful, and motivated by building things from the ground up * Excited to work in a small, fast-growing team where autonomy and accountability are key * Comfortable working on-site in a startup setting where collaboration and speed matter most & Bonus Points * Experience contributing to or maintaining open-source projects * Background working with AI infrastructure, ML pipelines, or GPU orchestration * Strong computer science fundamentals and ability to work across different programming languages or frameworks

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Our client is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This a hybrid position in Seattle, WA or New York, NY. We are onsite 3+ days per week. What you'll do: You'll work on building and improving the best LLM group chat experience there is. This includes: * Fine-tuning models to boost conversational quality and improve scalability. * Owning new ideas for engaging features and working across the stack to take them from concept to production. * Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users. * Leading technical decision making to find solutions which are both innovative and practical. * Optimize infrastructure for performance, scalability, and reliability. * Ensure rigorous testing, validation, and continuous improvement of deployed models. Who you are: You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP). You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. You: * Know the pitfalls and tricks for building with LLMs, especially RAG systems. * Have experience with the level of obsession over detail needed to produce high quality ML systems. * Are experienced and comfortable building backend systems and working across a code base, not just in Jupyter notebooks. * Are experienced in Python. * Know how to work independently to handle ambiguity. * Excited about the opportunity to tackle impossible problems. We're willing to compromise on years of experience for the right candidate who brings energy, intelligence, and a passion for our mission. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, PayPal, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job Description We are seeking an exceptional Staff Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems. This is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI–enhanced detection models. Responsibilities • Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis., • Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring., • Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness., • Design and implement real-time decision systems, integrating with transaction or behavioral data streams., • Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks., • Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases., • Promote engineering excellence — automation, CI/CD, reproducibility, observability, and model governance., • Mentor and guide ML and software engineers, fostering best practices and innovation. Requirements • 5+ years of experience building ML or AI systems in production; at least 2+ in fraud, risk, or anomaly detection domains., • Proven track record designing and maintaining ML pipelines at scale., • Expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and CI/CD (GitHub Actions, Jenkins, or similar)., • Strong understanding of supervised / unsupervised learning, anomaly detection, and statistical modeling., • Experience with big data and distributed systems (e.g., Spark, Kafka, Flink, or similar)., • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes)., • Strong collaboration, communication, and cross-team leadership skills. Preferred Qualifications • Prior experience with fraud or financial crime detection, identity verification, or risk scoring systems., • Domain expertise in banking, payments, or transaction monitoring, • Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation., • Familiarity with streaming analytics, graph ML, or time-series anomaly detection., • Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts., • Contributions to fraud detection research, open-source, or AI publications.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: The Machine Learning team is responsible for designing, developing, and deploying cutting-edge AI/ML solutions, owning the full lifecycle from ideation to production. In this role, you will work closely with the ML Platform and Data Science teams to maximize the impact of ML across every area of the business. This is an opportunity to join a growing team and help shape its future direction. Key Responsibilities: • Designing & Implementing AI/ML Solutions: Lead the design and implementation of robust, scalable, and high-performance machine learning applications that power critical user experiences and business operations., • End-to-End Ownership: Take ownership of the full machine learning lifecycle for various applications, working closely with data scientists, product managers, and backend engineers to define problems, develop solutions, and measure impact., • Driving Business Impact: Identify opportunities to apply machine learning to solve complex business challenges, directly contributing to key metrics such as user engagement, conversion, and overall revenue., • Leveraging & Contributing to ML Platform: Partner with the Machine Learning Platform team to utilize existing infrastructure and provide critical feedback and requirements to shape the platform's future direction., • Setting Technical Standards: Champion best practices for MLOps, code quality, testing, and deployment, ensuring the reliability and maintainability of our ML application stack., • Evangelize ML throughout the organization: Communicate results and methodology effectively within the team and to external stakeholdersKey Competencies:Technical Skills:, • Proven experience in the end-to-end development and deployment of machine learning solutions, including successfully transitioning models to production environments., • Strong programming proficiency, particularly in Python and SQL, coupled with a solid understanding of software engineering best practices and principles as applied to machine learning system development., • Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with MLOps practices., • Hands-on experience with key machine learning frameworks and libraries (e.g., PyTorch, Scikit-Learn, XGBoost) and expertise in relevant AI subfields such as Deep Learning, Natural Language Processing (NLP), and Computer Vision, • Familiarity with Large Language Models (LLMs) and other advanced AI tools, including potential applications of AI agents, and a strong interest in staying updated on the latest developments in the field.Interpersonal Skills:, • Ability to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving and Decision-Making:, • A proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibilityMinimum Qualifications:, • Experience: 5+ years of industry experiencePreferred Qualifications: Business impact (NARPAU, GMV, Revenue) What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs, • Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$195,000—$230,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job DescriptionResearch Engineer, Neuroscience & Algorithms (Generalist) Full-Time On-Site (Brooklyn, NY) $145K - $200K + Competitive Equity Step into one of the most meaningful engineering challenges of this decade: building software that translates neural activity into real-world actions. If you're a sharp, curious engineer who thrives in deep-tech environments and loves building at the boundary between neuroscience and software, this role puts you right in the center of breakthrough innovation. This team is developing next-generation implantable neurotechnology, and they need an engineer who can bridge research, software, and machine learning in one unified workflow. What You'll Do You'll serve as a full-stack generalist on the Neuroscience & Algorithms team, helping build the infrastructure that turns brain signals into usable, reliable digital output. Your work will directly support patients and clinical teams. You will: * Develop and maintain user-facing applications for high-precision, real-time neural data processing. synchron * Manage cloud infrastructure and 3rd-party tooling supporting ML experimentation. * Build custom analysis libraries that power data science and machine learning workflows. synchron * Collaborate cross-functionally with Neuroscience, Software, Systems, and Clinical teams to bring research prototypes into production. * Support developers integrating neural-interface tools into broader system architectures. synchron What You Bring * 110+ years of full-stack software development experience. * Strong emphasis on Python backend and Swift frontend. synchron * Ability to learn quickly, work autonomously, and navigate undefined technical territory. * Passion for building impactful technology in healthcare, deep tech, or neuroscience. Bonus: * Experience with real-time systems, ML pipelines, or computational neuroscience. * Comfort working directly with research teams and clinicians. Compensation & Role Details * Salary: $145K- $200K (experience-dependent) synchron * Equity: Competitive * Visa Sponsorship: Not available * Work Model: Fully on-site, 5 days/week in Brooklyn, NY * Position Type: Full-time About the Technology This team is pioneering implantable neurotechnology designed to unlock the brain and address large-scale unmet medical needs. Their work spans neuroscience, real-time systems, machine learning, and clinical engineering, allowing you to build products that have a direct impact on patient lives. synchron Interview Process * Initial screen with engineering leadership * Technical + coding interview (1.5 hours) * Team interviews * Final executive conversations

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a DevOps Engineer at Radical AI, you will be instrumental in building and maintaining a secure and efficient development and deployment pipeline for our cutting-edge AI and materials discovery platform. You will play a crucial role in streamlining our software development lifecycle and ensuring the resilience and integrity of our infrastructure and applications. Your work will be critical in enabling the rapid and secure delivery of our innovative solutions. The ideal candidate will bring strong expertise in DevOps methodologies, cloud and on-prem deployments, distributed systems, and CI/CD pipeline development. Mission • Design, build, and maintain robust, secure and scalable CI/CD pipelines to automate software delivery processes., • Collaborate closely with software engineers and ML researchers to ensure applications align with DevOps best practices., • Integrate security tools and practices into every stage of the development lifecycle, from code creation to deployment and monitoring., • Maintain and troubleshoot our cloud GPU infrastructure, hosted on Voltage Park., • Design and implement secure and optimized cloud (e.g., AWS, Azure, GCP) and on-prem infrastructure following security best practices and compliance standards., • Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes) to improve application portability and scalability., • Develop and maintain infrastructure-as-code (IaC) using tools like Terraform or CloudFormation, • Troubleshoot and resolve infrastructure and deployment-related issues across development, staging, and production environments., • Implement and manage monitoring and alerting systems to proactively identify and resolve infrastructure and application issues., • Develop and maintain security policies, procedures, and documentation., • Promote a security-conscious culture within the engineering teams through training and knowledge sharing.About you, • B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience., • Proven experience in DevOps, DevSecOps, or Platform Engineering role., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), as well as on-prem., • Proficiency in at least one scripting language (e.g., Python, Bash) for automation tasks., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Familiarity with containerization technologies (e.g., Docker, Kubernetes)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Solid understanding of Linux/Unix systems administration., • Strong analytical and problem-solving skills with a security-first mindset., • Excellent communication and collaboration skills, capable of explaining technical security concepts to both technical and non-technical audiences., • Passion for building secure and reliable systems.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega)., • Contributions to open-source security projects., • Familiarity with application development in Go, Python, and/or Javascript/Typescript.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionAbout Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next generation of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions. We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions. To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands-on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams. Key Responsibilities • Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems., • Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors., • Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform., • Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback., • Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior., • Partner cross-functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements., • Communicate technical concepts clearly to both technical and non-technical audiences., • Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems. Minimum Qualifications • 5+ years of professional experience in data science and machine learning., • Proven track record of leading end-to-end data science projects — from research and model development to deployment and monitoring., • Experience building and productionizing credit or risk assessment models., • Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.)., • Strong command of SQL and experience working with large transactional and time-series datasets., • Strong communication skills and ability to translate complex findings into actionable insights., • Experience working with cross-functional teams in a fast-paced production environment.Preferred Qualifications, • Experience in fintech or credit risk modeling., • Experience with cloud-based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.)., • Familiarity with model explainability techniques and compliance requirements in financial modeling. Location: This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. Compensation: The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future. Need more convincing? Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair: • Medical, Dental, & Vision Coverage, with option to extend to your family, • Fully-paid parental leave, • Company-sponsored 401k, HSA, and FSA, • Unlimited vacation for salaried roles, generous PTO for hourly roles, • Work from home setup allowance, • Access to your earnings every day on Clair

Job DescriptionLead Engineer, Machine Learning • Location: NYC, • In-office 3-4 days per week, • Reports to: Director of Engineering and CEO In 2024, over 10,000 private companies pursued an exit via the platform, leading to over 1,000,000 platform connections, 75,000+ signed NDAs, and hundreds of millions of dollars in successfully closed transactions (). About the Role We are hiring a Lead Engineer to lead the planning, architecting and coding of ML and related advanced technologies into our recommendation systems and core product experiences. Our current algorithmically-driven approach is effective but insufficient. Customer and technical research makes us confident that there is significant user experience and commercial upside by incorporating and matching real-time private data sets that we have gathered via platform usage and 3rd party aggregation. We are searching for a technically excellent lead engineer who can lead the creation of ML and AI capabilities at Axial, collaborate with the existing team, help us grow the team over time, and ship roadmaps that materially upgrade the customer experience. What You'll Take On • Design, develop, and deploy ML/AI-driven models to enhance our matching engines, industry classification systems, and more., • Help establish ML and MLOps best practices that lay a groundwork for sustained AI/ML development at Axial., • Collaborate with product managers, engineers, and business stakeholders to define and execute AI strategies aligned with company objectives., • Optimize AI and machine learning models for speed, accuracy, and scalability, ensuring reliable integration into Axial's platform., • Develop and refine recommendation systems, applying NLP, deep learning, and predictive analytics to improve buyer-seller matchmaking., • Create clear documentation and visualizations to communicate insights and recommendations to technical and non-technical audiences.Who We're Looking For, • 5+ years of experience using AI/ML and related technologies to improve consumer or B2B software experiences., • Strong production expertise building, modifying, and scaling machine learning recommendation systems / engines, • Familiarity with SQL and data warehouses (e.g., AWS Redshift) for AI-driven analytics., • Strong problem-solving skills with the ability to work independently in a fast-paced environment.Our stack, • Python (FastAPI), Postgres (RDS), • Angular 18+, Typescript, • Terraform, AWS EC2/EKS, OpenTelemetry, Grafana/Prometheus/Loki/Tempo We are a team of ~50 employees with an overall technical organization of ~20 split among three squads. We have a senior, tightly-knit engineering team, where you will have the opportunity to have a direct impact on the product and the company. We use a "lite scrum" process, including daily stand-ups, bi-weekly sprints, sprint demos and retrospectives. Since much of our team is fully remote, we use Shortcut to track our work through the development cycle. Below are Axial's core values. We believe in these and we practice them actively, so if you connect w/ these, you may enjoy working here: • Obsess Over Member Trust: Your daily choices reflect your awareness that we facilitate vital life-altering transactions. You consistently take this responsibility seriously and it's top of mind., • Expect and Deliver Excellence: You pursue consistent high performance so that your colleagues feel confident partnering and relying on you. You demonstrate a personal commitment to continuous improvement and you inspire it in others., • Communication Matters: You are concise and articulate in your communication, external or internal. You listen actively and genuinely and ask good questions., • Invent and Simplify: You are open-minded AND opinionated, looking for great new ideas that can elevate and even transform the member experience. You find novel ways to simplify complex status quos., • Be an Owner: You think about the long-term effects of your decisions. You take full responsibility for your work product. You invest real time in building genuine relationships with your teammates. NY Pay Range$300,000—$300,000 USD

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities: * Inference & Deployment * Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. * Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. * Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. * Model Optimization & Fine-Tuning * Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. * Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. * Production MLOps * Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. * Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. * Performance & Scaling * Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: * Technical Expertise * Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). * Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. * Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). * Model Optimization * Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. * Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). * Infrastructure * Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. * Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. * Domain Experience * Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. * Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $200K - $300K

Job Description Are you ready to join an amazing team and make a significant impact on the future of decision-making? Verneek is a deep-tech AI startup that is on a mission to build the most helpful AI experiences in the consumer space. We believe that AI can truly augment knowledge and provide valuable insights to everyone, anywhere, at any time. Join us and be at the cutting edge of the AI revolution! If you are tired of working on mundane projects and want to be part of a fast-paced startup where you can learn, innovate, and contribute every single day, Verneek is the perfect opportunity for you. As a fullstack engineer, you will play a crucial role in building complex AI and NLP models to support our AI platform. At Verneek, you will have the opportunity to work on unique, complex, and socially impactful problems. As an early-stage startup, there are no legacy obstacles holding us back, and your contributions will have a direct impact on the success of the company. RESPONSIBILITIES MINIMUM QUALIFICATIONS • 3+ years of experience in building high-performance applications, • Strong proficiency in TypeScript, • Strong proficiency in React, • Strong proficiency in NextJS, • Portfolio of prior projects with a complex backend, • 4+ years of experience in designing, implementing, and maintaining complex software, • Good grasp of computer science fundamentals, including algorithms 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 Salary range: 80K-140K 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 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.

Job Description We are on the lookout for an innovative and driven AI Engineer. In this role, you will be responsible for designing, developing, and deploying AI models that will enhance our products and improve our services. Requirements • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • 5+ years of experience in AI/ML development., • Strong proficiency in Python, R, or Java., • Experience with machine learning libraries such as TensorFlow, Keras, or Scikit-learn., • Familiarity with data processing tools (e.g., Pandas, NumPy)., • Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure)., • Solid understanding of algorithms and data structures., • Excellent analytical skills and problem-solving capability. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is seeking Senior Software Engineers in iOS to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NYAbout the teamThe Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub's mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day. We are obsessed with understanding our users' needs and delivering feature innovations, both short-term and long-term, that are as effective as they are enjoyable. We serve a global fan base and aim to deliver a localized experience that feels personalized to every individual in over 60 regions and 30 languages. We believe that diversity of thought and transparency of impact breed the best innovations, which is why we are a cross-functional team of specialists in product, design, engineering, and data working closely together with equal voice in ideation and equal access to insights. We work across the entire stack leveraging any tool or technology necessary to support web and mobile feature innovation at scale.What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (Swift or Objective-C), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Exposure to React Native, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionThe Opportunity Monstro is hiring a Senior Backend Engineer to help architect and scale the intelligent infrastructure behind our AI-native financial platform. As one of the first core engineers at Monstro, you'll play a pivotal role in defining our backend architecture, building robust systems, and ensuring performance, scalability, and security across products that serve both consumers and financial institutions. This is a hands-on engineering role where you'll own backend services, APIs, data pipelines, and cloud infrastructure—partnering closely with product, design, and AI teams to turn vision into execution. You'll be instrumental in transforming how financial data flows through Monstro's ecosystem and how intelligence is delivered to users in real time. If you thrive in environments where clarity, ownership, and speed matter—and want to build category-defining technology from the ground up—this is the opportunity to make an immediate, lasting impact. About Monstro Monstro, headquartered in New York City, is an AI-native fintech/banktech platform transforming how people and institutions manage money. Our mission is to democratize access to high-quality financial insight—giving every individual and institution the intelligence, tools, and automation to make better decisions across wealth, tax, legal, and investment. For financial institutions, Monstro serves as the —a unified platform that unlocks real-time insights, automation, and revenue opportunities across their client base. For consumers, we deliver personalized, always-on financial guidance and the ability to take action—all within a seamless, next-generation mobile experience. This B2B2C model drives deeper engagement, higher retention, and scalable growth for institutions, while empowering everyday users to make smarter, more confident financial decisions. Our team brings together leaders from fintech, wealth management, and AI-driven technology companies—combining decades of experience building and scaling platforms that have transformed industries. Responsibilities * Backend Architecture & Infrastructure * Design, implement, and maintain scalable backend systems, APIs, and integrations. * Lead key architectural decisions on infrastructure, data flow, and cloud deployment strategy. * Implement infrastructure-as-code, CI/CD pipelines, and DevOps best practices. * Drive observability, monitoring, and uptime standards across backend services. * Cloud & Security * Build secure, compliant systems optimized for a fintech-grade environment. * Implement authentication, encryption, and access control across backend components. • Manage multi-region or global cloud deployments on AWS (or equivalent). Ingestion, orchestration, and infrastructure • Design and implement robust multi-modal document processing systems that handle heterogeneous file formats (PDFs, images, HTML, XML) with automatic schema inference, content extraction validation, and graceful degradation for malformed inputs, maintaining 99.9% pipeline uptime SLA. Own ingestion from APIs, file drops, partner feeds, and scheduled jobs with monitoring, retries, and alerting. * Implement data quality checks for schema, ranges, and nulls, and document lineage and SLAs. * Own and harden the infrastructure that supports ETL pipelines, storage systems, and serving services. * Development & Delivery * Translate product and AI requirements into backend capabilities that power intelligent user experiences. * Collaborate with AI and Data teams to integrate machine learning pipelines and real-time processing. • Contribute to front-end or cross-functional code as needed, with a back-end-first focus. Security, compliance, and governance * Handle sensitive financial and personal data with access controls, auditing, and retention policies. * Collaboration & Team Growth * Partner closely with Product, Design, and Executive teams to deliver on Monstro's roadmap. * Contribute to technical documentation and system clarity. • Help recruit, mentor, and shape the foundation of Monstro's engineering culture.Qualifications 8+ years of software engineering experience, with deep backend expertise. * Proven success designing and scaling distributed, cloud-native systems (AWS, GCP, or Azure). • Experience with databases (SQL/NoSQL), caching, and performance optimization. Hands-on DevOps experience—CI/CD, Docker, Kubernetes, and Terraform (or similar). • Strong understanding of security, authentication, and data privacy standards. Experience collaborating with AI, product, and data teams on technical integration. Exposure to AI/ML infrastructure, event-driven architecture, or real-time systems. • Early-stage startup experience or familiarity with building engineering orgs from scratch. Interest in fintech, wealth management, or regulated data systems. • Experience with front-end frameworks (React, Next.js) or mobile integration.Why Monstro? Ownership & Impact: As an early technical hire, you'll shape Monstro's architecture and future scale. * Category-Defining Work: Build the systems that power next-generation financial intelligence. • Mission-Driven: Help redefine how people and institutions understand and act on their finances. Compensation: $165K–$215K base + top-tier equity Apply Today If you're passionate about building transformative teams in a mission-driven company and thrive in a startup environment, we want to hear from you!

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About Goodie AI: Goodie AI is the pioneering LLM visibility and AI search optimization platform enabling the world’s top brands to own their AI narrative across leading LLMs like ChatGPT, Gemini and Perplexity. Backed by strong funding and validated by active paying customers, we are scaling fast and tackling some of the hardest AI search challenges. We are looking for an exceptional Senior Software Engineer to join our rapidly growing team. You will play a critical role in driving and accelerating the development of cutting-edge AI use cases, working closely with our Product Lead, Designers, and Machine Learning Engineers to design and build scalable, industry-leading AI platforms. After you apply, check out Goodie AI's website to learn even more! We are looking for: We’re hiring an Enterprise Account Executive; a hybrid seller who blends commercial rigor with technical and domain fluency. You’ll break down complex problems, design sharp pitches, and prove value to win rooms of senior stakeholders - CMOs, Growth Leads, Content Managers, and other stakeholders. You’ll sit at the intersection of deal-making and thought leadership, shaping our most exciting opportunities from first intro through final signature. This isn’t just running the sales playbook. It’s part strategist/consultant, part storyteller, part sales engineer; guiding brands through Goodie’s platform, shaping proof-of-value demos, and turning leads into long-term partnerships. Your job is to turn inbound momentum into revenue, and layer in a targeted outbound motion that opens the right doors at the right logos. You’ll team up with existing Goodie team members across Product, Data, and Solutions, and collaborate closely with Agency’s Business Development team to cross-pollinate opportunities and co-sell into strategic accounts. You'll do: • Own the full sales cycle from first touch to close: qualification, multi-threading, executive narrative, solution mapping, value selling, and commercial negotiation., • Run crisp discoveries that map pains to Goodie’s capabilities and design proof-of-value pilots that de-risk decisions., • Turn demand into dollars and crush quota: Prioritize, sequence, and forecast inbound with rigor; build a precise outbound program for a named account list (ABM + events + social selling + partner co-selling). Target: enterprise and upper-mid-market across SaaS, commerce, fintech, health, and media, as well as other relevant industries., • Negotiate deals end to end and close: seamlessly and efficiently drive deals to the finish line and manage the transition process to customer success. You must also Navigate the paper and partner with legal on MSAs/SOWs, SOC 2 posture, DPAs/PII considerations, and security clients’ requirements., • Forecast and manage pipeline like a pro: Keep spotless hygiene in CRM (Hubspot) You have: • 4+ years experience closing enterprise SaaS with large new-business wins (MarTech/Analytics/SEO/AEO/AI or similar data platform experience is a plus)., • Marketing Focus: Strong understanding across the gamut of growth & performance marketing, • Outbound acumen: you’ve built named-account plays (signals, sequences, meetings ,multi-thread) and used LinkedIn/Nav/intent tools/partners effectively., • Technical fluency: comfortable discussing technical specifics, • Executive storytelling: crisp decks and value math, board-safe communication, and strong writing., • Deal leadership: mutual close plans, champions, paper process, competitive strategy. Repeatable and referenceable process management. Bonus/Nice to Haves • Sold to CMOs/Heads of Growth, VP of Marketing, Content, /SEO/AEO Leads at brand-name enterprises., • Prior MarTech, AdTech, SEO/AEO background., • Earn More, Together: Base Pay + Profit Sharing & Commissions Opportunities, • Health First: Premium Medical, Dental & Vision Coverage, • Flex Work Environment: hybrid at HQ and remote globally, • Set Up Shop: Home Office Stipend, • Recharge Anytime: Unlimited PTO Plan, • Family First: Paid Parental Leave Plan, • Secure Your Future: 401(k) Plan with Employer Matching, • Level Up: Mentorship & Career Growth Support, • Always Be Learning: Access to Top-tier Resources & Industry Experts, • Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite), • Mind & Body Wellness: Gym, Wellness, and Access to Mental Health Plans, • Fuel Your Day: Free Lunch, Snacks, Cold Brew, & Happy Hours, • Grow With Us: Endless Opportunities to Lead & Succeed, • Keep on Shining: Ongoing Employee Development Programs EEO & Compensation Transparency: NoGood is committed to pay transparency and equity among all employees and provides employees an environment where pay transparency and dialogue on compensation are allowed. NoGood complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $90,000-$110,000 base pay plus bonus. At NoGood, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, NoGood is committed to Equal Opportunity Employment and complies with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization. BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as NoGood team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Workable- to help us schedule initial screening calls. Job seeking is hard- we’re sorry that scammers have added this element to your search for something new. Stay vigilant out there!

Job DescriptionWe are seeking a Senior Java Engineer to lead the design and development of a global investment bank's data platform. This initiative is central to their digital transformation, enabling both traditional and AI-driven systems to operate on a unified, scalable data foundation. This role offers the opportunity to tackle both foundational engineering challenges and cutting-edge data and AI integrations within the fast-paced, highly regulated Capital Markets environment. This position is hybrid and requires 3 days a week in the NY metro office. Not open to C2C. Responsibilities • Architect and develop scalable, event-driven services and APIs using Java, Spring Boot, and AWS., • Design and implement data ingestion, transformation, and distribution pipelines leveraging Kafka and other streaming technologies., • Build and optimize a shared data platform that serves as the backbone for multiple front-end applications and analytical tools., • Collaborate cross-functionally with data scientists, ML engineers, and product teams to integrate models and insights into production systems., • Ensure performance, scalability, security, and compliance across distributed, cloud-native environments., • Drive engineering excellence through best practices in code quality, testing, DevOps, and CI/CD automation., • Contribute to the platform roadmap, identifying opportunities for modernization, AI enablement, and business impact., • Partner with Capital Markets technology teams to align data services with trading, risk, and regulatory reporting workflows.Required Experience, • 10+ years of software engineering experience, with strong expertise in Java (Spring Boot) for enterprise or cloud-based systems., • Background in Capital Markets or Financial Services, ideally with exposure to trade lifecycle, market data, risk, or analytics platforms., • Proven experience designing data-centric or distributed platforms that serve multiple applications or domains., • Solid understanding of Kafka and event-driven architectures for high-throughput, real-time data processing., • Experience with AWS services (EC2, Lambda, S3, ECS, RDS, etc.) and infrastructure-as-code (CloudFormation, Terraform)., • Strong grounding in microservices, API design, and system integration patterns., • Experience with machine learning and AI model integration in production systems is a plus.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityData is core to Radical AI's mission and as a Data Engineer, you'll collaborate with cross-functional teams (software, ML, materials science) to build robust data solutions. You will be directly involved in designing, building and maintaining infrastructure to support agentic workflows for our AI materials design engine, as well as maturing our existing data infrastructure that relates to our autonomous lab. In this you'll create a best-in-class system to accelerate Radical AI's ability to develop the next evolution of scientific progress and get to work at the intersection of cutting edge models, autonomous experimentation, and materials science. As a foundational member of the team, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.Mission • Work side by side with AI researchers and engineers, shaping the next generation of autonomous systems for materials discovery., • Own the end-to-end planning, execution, and delivery of largescale data initiatives., • Drive a continuous improvement culture through retrospectives, process streamlining, and lean execution experiments., • Help define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making within scientific discovery., • Design and implement data pipelines connecting our autonomous lab with operational and product systems, including our AI-driven discovery engine., • Build and support scalable, audit-proof architecture., • Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains., • Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.About you, • B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience., • 6+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets., • Strong background in computer science: algorithms, data structures, system design and data modeling., • Strong Python and/or Go skills and and experience deploying production-grade code (not just notebooks)., • Experience with relational SQL/NoSQL databases and data lakehouse/warehouse frameworks (e.g., BigQuery, Snowflake, Redshift, Databricks)., • Experience with data pipeline frameworks (e.g., Beam, Spark, Kafka, Pulsar, etc.), modern data orchestration frameworks (e.g., Dagster, Prefect), and cloud-native storage (e.g., S3, ADLS)., • Experience with large scale distributed system design, operation and optimization., • Experience with lightweight, embedded analytical databases (e.g., Duckdb, SQLite)., • Proficient at scaling up and managing high-volume document ingestion pipelines., • An experimental mindset: comfortable testing hypotheses, learning from failures, and iterating quickly; doesn’t shy away from problems with no right answer., • Proven ability to scope ambiguous problems, develop end-to-end solutions, and communicate outcomes effectively.Pluses, • Experience with vector databases (e.g. Pinecone, pgvector, Qdrant, TurboPuffer, etc.)., • Knowledge of or experience with aagentic processes and/or frameworks (e.g., LangChain, CrewAI, PydanticAI, AutoGen, etc.)., • Demonstrated experience with LLMOps (e.g., Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, etc.) Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: • Collaborate with cross-functional teams to design and deploy ML models., • Develop reusable, scalable code for AI/ML applications., • Leverage GCP services to build end-to-end machine learning pipelines. Key Requirements: • Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools., • Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI., • Model Development & Deployment: Proven ability to design, build, and productionize machine learning models., • API Development: Skilled in developing robust APIs for seamless integrations., • Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? • Work remotely while contributing to cutting-edge projects., • Collaborate with a dynamic team passionate about AI/ML innovation., • Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Community Federal Savings Bank is a full-service payments, lending and banking provider that delivers global financial services through a personal approach. CFSB is seeking an Associate, Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services. You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences for our customers. Responsibilities: • Build and optimize data pipelines latest coding practices and industry standards, modern design patterns and architectural principles, • Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, combine raw information from different sources Develop and maintain process and data documentation, • Monitor and triage the data pipeline processes, • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problem, • Apply a software development approach to data engineering problems (including testing, documentation, modularity and dry-ness, CI/CD workflow, etc. Knowledge, Skills, and Abilities: • Ability to use programming languages including but not limited to Python, SQL, Java, Shell scripting, • Strong understanding with cloud computing platforms (e.g., AWS), • Experience with Data Visualization tools (Looker, Mode, Sigma, ThoughtSpot, etc.…) is a plus, • Strong understanding of database security, backup, and recovery procedure, • Strong communication and collaboration skills, • Bachelor's degree in computer science, information technology, or a related field (or equivalent experience), • Minimum 4 years of experience required, • Expert level experience as a Data Engineer with a focus on Snowflake, dbt cloud, SQL, Python, Shell scripting Salary Range: $85K - $100K / year "Base salary range does not include performance-based bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience." About Community Federal Savings Bank (CFSB) Community Federal Savings Bank (CFSB) is a federally chartered bank founded in 2001 and headquartered in New York City. CFSB has focused on providing superior service and added value to clients through as solid understanding of relationship banking. We offer a full range of services including loans, bill payments, card services, internet banking, and merchant processing. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, military and/or veteran status, or any other Federal or State legally-protected classes.

Job DescriptionAI Support Engineer Cutting-Edge AI Startup Location: San Francisco, CA or New York, NY (On-site, 5 days/week) Compensation: $180,000 $220,000 + Competitive Equity Employment Type: Full-time About the Opportunity Are you fascinated by the limitless possibilities of artificial intelligence and machine learningand eager to help make those possibilities real for thousands of users? A fast-growing AI startup is seeking an AI Support Engineer to join its core technical team. Youll play a crucial role supporting enterprise customers using next-generation AI tools built for software developers and engineering teams. This is a unique opportunity to combine your computer science expertise with your passion for AI, ensuring users get maximum value from groundbreaking technology thats reshaping the future of software. What Youll Do * Serve as the first line of technical response for customer issues involving deployment, performance, or product use. * Diagnose, reproduce, and resolve issues using your knowledge of AI systems, distributed computing, and programming. * Collaborate with engineering teams to escalate, track, and close complex issues efficiently. * Document insights, solutions, and recurring issues to improve internal knowledge and customer experience. * Test new releases across multiple IDEs, languages, and environments; automate parts of QA and support workflows. * Contribute to the design of scalable processes and support systems as the company continues to expand. Who You Are * 2+ years in a full-time technical or engineering role. * Bachelors degree or higher in Computer Science, Software Engineering, or a related field. * Strong programming skills in Python, Java, or Go. * Experience with distributed computing, containerization, and orchestration tools (Docker, Kubernetes, Linux). * Excellent problem-solving, organizational, and communication skills. * Comfortable in a fast-paced startup environment and eager to learn quickly. * Passionate about AI, machine learning, and large language modelshands-on experience is a plus. Why Youll Love This Role * Ground-floor opportunity in one of the fastest-growing markets in tech. * Work alongside elite engineers and innovators with experience at top AI and tech companies. * Learn the inner workings of engineering, product, and customer success in a high-growth startup. * Build your network, accelerate your learning curve, and make a real impact on how AI is adopted globally. * Competitive salary, meaningful equity, and the chance to work with cutting-edge technology every day. Ready to help shape the future of AI adoption? Apply today to join a fast-moving startup where your technical skills will directly influence the success of AI solutions used by developers worldwide.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity: In order to transform how millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Onsite (3 days in office/2 days remote) – New York, NY, Santa Monica, CA, or Aliso Viejo, CA About the team: The Infrastructure team is a group of highly motivated engineers focused on enabling the foundation for rapid, reliable, and scalable product development at StubHub. We own and evolve the internal service catalog and core compute platforms which power the creation of applications and services across the company. Our responsibilities include build systems, deployment tooling, artifact management, infrastructure provisioning, and cloud resource management. We also own foundational capabilities like service attribution. We work closely with engineering teams across the organization to promote infrastructure best practices, self-service platforms, and operational excellence. What You've Done: • 5-6+ years of professional experience in software development, • Experience with developing robust, mission-critical systems using one or multiple general-purpose programming languages (e.g., Python or Go), • Track record building robust, mission-critical systems—particularly in areas such as infrastructure, distributed systems, machine learning platforms, security, or privacy, • Designed and delivered complex solutions with high business impact, emphasizing enablement and self-service, • A strong understanding of how systems interact with the broader production environment, including dependencies and platform primitives, • Hands-on experience using Infrastructure as Code (IaC) tools like Terraform or CloudFormation to build reliable and maintainable platforms, • A growth mindset with demonstrated ability to quickly learn new programming languages, platforms, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineers What You'll Do:, • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Our client is seeking the following: Job Description Senior Full Stack Engineer – 4 days on-site in NY location: We are seeking an exceptional Senior Full Stack Engineer to join our elite team. In this role, you will play a pivotal part in building both the frontend and backend services. Your responsibilities will extend to collaborating with our data science team to host models and deliver them through APIs. We are looking for engineers who can demonstrate a "bias to ship" mindset and a strong sense of urgency. Our goal is to assemble small teams of highly talented individuals who can independently solve problems and self-organize to achieve our objectives. Responsibilities include, but are not limited to: • Full Stack Development: Lead the development of both frontend and backend services for innovative solutions., • RESTful Design: Create robust and scalable APIs following RESTful design principles., • Microservices Architecture: Design and implement a microservices architecture to ensure flexibility and scalability., • Collaboration: Collaborate closely with product managers, data scientists, and TPMs to understand requirements and deliver high-impact solutions., • Model Hosting: Work with the data science team to host machine learning models and deliver them through APIs for integration into our products., • Autonomy: Operate with a high degree of autonomy and self-organization to drive projects forward without extensive oversight., • Problem Solving: Tackle complex problems, self-organize, and devise effective solutions with a keen sense of urgency. Requirements • Bachelor's or Master's degree in a related field., • Proven experience as a Full Stack Engineer with a track record of delivering high-quality software., • 5+ years of experience in coding and programming with TypeScript, Python, or similar languages., • 3+ years of experience working with relational databases like MySQL or PostgreSQL., • 3+ years of experience working with front-end JavaScript libraries such as React, Angular, or Vue., • Proficiency in Docker containerization., • Hands-on experience with CI/CD pipelines and tools such as Azure Pipelines, Jenkins, or GitHub Actions., • Knowledge of cloud platforms (AWS, Azure, GCP)., • Experience with Scrum & Agile Methodologies., • Proficiency in RESTful API design and microservices architecture., • Excellent communication skills and the ability to work collaboratively in a cross-functional team., • Self-motivated, proactive, and able to work independently with minimal supervision., • Ability to quickly understand complex problems and devise effective solutions., • Familiarity with Event-Driven Architecture is a plus., • Experience working with Marketing APIs such as Facebook, Google Ads, or TikTok is a plus.

Job DescriptionDescriptionPrecision Neuroscience is pioneering a brain implant, known as a brain-computer interface (BCI), to restore communication and independence for people with neurological conditions. Our cutting-edge technology is designed to empower people with paralysis to control digital devices—such as computers and smartphones—with their thoughts alone, opening new possibilities for daily life. Precision’s multidisciplinary team brings together leading experts in diverse fields such as neurosurgery, artificial intelligence, machine learning, microfabrication, electrical engineering, and more. We are committed to turning breakthrough scientific advancements into real-world solutions for people affected by conditions such as spinal cord injury, stroke, and ALS. As a Precision employee, you will be joining one of the fastest moving and best-capitalized companies in the emerging field of BCI. Since our founding in 2021, Precision has secured over $155 million in funding, developed and validated our technology, and initiated human trials in collaboration with some of the nation’s top hospitals. We are seeking a Senior Mechanical Engineer to join our Implant Hardware team to design scalable solutions to chronically implanted electronics. This position will best suit someone who is experienced with mechanical design of Class III medical devices with implantable electronics such as IPG, DBS, spinal cord stimulator, cochlear implants, etc. This is an extraordinary opportunity to join our core team to help shape the future of our company. Your work will see commercialization quickly so that we improve the lives of patients who live with neurological disorders in a matter of months and years, not decades. This position is on-site at our Manhattan office. To be eligible for this role, you must currently be based in the United States, and have working rights. Key Responsibilities • Execute hands-on design, testing, and process development tasks for mechanical packaging of implantable electronic components., • Complete hands-on assembly, integration and testing tasks while ensuring rigorous quality control is being enforced., • Collaborate with the rest of our team to publish and present our work., • BS/MS in Mechanical Engineering (ME), Biomedical Engineering (BME) or similar., • 5+ years of industry experience in mechanical engineering roles, preferably in the medical device industry., • Experience designing parts for CNC, injection molding, 3D printing, and die stamping manufacturing techniques., • Experience designing class III medical devices with implantable electronics, • Experience with medical leads, connectors, and feedthroughs., • Experience designing, evaluating, and debugging hermetic seals, laser welded/brazed joints, and thick film metalization., • Experience with compression molding, liquid injection molding, or overmolding, • Excellent organizational and communication skills; able to collaborate with neuroscientists, neurosurgeons, and electrical, software, materials, and bio engineers., • Expert in CAD (we use SolidWorks) and finite element analysis FEA, • Track record of working towards accelerated timelines.

Job Description Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job Description Are you an AI Technical Architect eager to shape the future of intelligent systems within a high-impact innovation team? This advanced group of specialists, including machine learning engineers, data scientists, and AI architects, is driving transformative solutions that influence enterprise decision-making across industries. What You’ll Be Doing • Architect Scalable AI Systems: Develop and implement robust strategies for deploying and monitoring models at scale., • Design Intelligent Pipelines: Build end-to-end machine learning workflows for both batch and real-time processing., • Collaborate Cross-Functionally: Partner with engineering, data science, and software teams to embed AI into production environments., • Engineer Infrastructure: Create resilient platforms for model training, deployment, and lifecycle management., • Lead Deployment Practices: Establish scalable, secure environments for operationalizing AI models., • Monitor & Optimize: Build tools to track model performance, data integrity, and system health., • Ensure Compliance: Maintain high standards for data privacy, security, and regulatory alignment., • Document & Educate: Produce clear technical documentation to support team knowledge-sharing., • Champion Governance: Advocate for best practices in AI development and monitoring., • Solve Complex Challenges: Address architectural and pipeline issues with innovative solutions., • Influence Strategy: Contribute to technical direction and leadership in emerging AI technologies., • Deliver Impact: Build AI systems that scale effectively and drive measurable business value. Compensation & Benefits (U.S.-Based Candidates) * • Salary Range: $150,000 – $210,000, depending on experience and location., • Benefits Package: Includes comprehensive health coverage, retirement plans, and wellness programs. What You’ll Bring • Degree in Computer Science, Engineering, or a related field (Bachelor’s or Master’s), • Hands-on experience in ML engineering, architecture, or data science within cloud/distributed systems, • Proven success designing enterprise-grade AI architectures, • Strong stakeholder engagement in AI strategy and execution, • Familiarity with Agile development methodologies, • Expertise in distributed systems, orchestration tools, and cloud platforms, • Proficiency in MLOps tools and machine learning frameworks, • Experience with DevOps, CI/CD, and version control systems, • Deep knowledge of AI trends and platform evolution This is a hybrid role with on-site collaboration expected at offices located in the New York or New Jersey area.

Job Description Are you ready to join an amazing team and make a significant impact on the future of decision-making? Verneek is a deep-tech AI startup that is on a mission to build the most helpful AI experiences in the consumer space. We believe that AI can truly augment knowledge and provide valuable insights to everyone, anywhere, at any time. Join us and be at the cutting edge of the AI revolution! If you are tired of working on mundane projects and want to be part of a fast-paced startup where you can learn, innovate, and contribute every single day, Verneek is the perfect opportunity for you. As a fullstack engineer, you will play a crucial role in building complex AI and NLP models to support our AI platform. At Verneek, you will have the opportunity to work on unique, complex, and socially impactful problems. As an early-stage startup, there are no legacy obstacles holding us back, and your contributions will have a direct impact on the success of the company. RESPONSIBILITIES MINIMUM QUALIFICATIONS • 3+ years of experience in building high-performance applications, • Strong proficiency in TypeScript, • Strong proficiency in React, • Familiar with React Native, • Knack for getting the visuals right, • Strong proficiency in NextJS, • Experience with front-end testing frameworks (e.g., Jest, Cypress) is a plus., • Portfolio of prior projects with a complex backend, • 4+ years of experience in designing, implementing, and maintaining complex software, • Good grasp of computer science fundamentals, including algorithms, • Experience with machine learning systems and working with AI teams, • Experience with WYSIWYG editors Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Career growth support through sponsoring learning opportunities and mentorship Salary range: 80K-140K

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Staff AI Engineer for Trust & Safety Operations, where you’ll lay the cornerstone of our agent-powered future. You will architect the foundational workflows, guardrails, and tooling that turn AI agents into everyday teammates for our Moderation, Appeals, and Support operators. Think of it as building the “operating system” for AI within Trust & Safety: establishing the orchestration layer, standardizing tool schemas, automating the agent lifecycle, instrumenting real-time monitoring, and ensuring every solution is robust, scalable, efficient, and responsible. You’ll collaborate closely with operations professionals and engineers, meet non-technical stakeholders where they are, and deliver value in tight, incremental loops tied directly to solving their biggest problems. Because we’re still early in our agent journey, you’ll enjoy a broad scope with an expectation of mentoring peers, shaping best practices, and defining the north star for AI-native operations at Hinge. If you’re energized by building green-field systems that leverage AI to solve challenging problems, this is your invitation to help write the next chapter of Trust & Safety to create a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Own the technical roadmap for AI automation across Moderation, Appeals, and Support workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production., • Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems., • Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring., • Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency., • Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams., • Agentic & workflow-orchestration expertise: Proven ability to design, build, and operate multi-step LLM agents with modern coordination frameworks., • Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases., • Rapid prototyping & experimentation: Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data., • Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas., • Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling., • Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption., • 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems., • 2+ years delivering solutions that combine automated decision support with human-in-the-loop review, ideally in Trust & Safety, customer support, or adjacent domains., • 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows., • 1+ years of hands-on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real-world or open-source projects. #Hinge

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers We seek an exceptional Senior Solutions Consultant, Agentic AI (Presales) based in North America to join our growing team. This role will report to our Global VP of Solutions Consulting and will play a key role in shaping a vision for our customers. It will also be the trusted advisor on Workato's AI Agentic capabilities to provide thought leadership best practices and help scale and drive adoption to achieve its strategic initiatives. In order to be successful in this role, you must be able to articulate technology and communicate the value of Workato's products to prospective business and technical users and buyers with a focus on enterprise applications. You will also help shape the product and direction of the company by communicating market needs to the Product Management team As a Snr Solutions Consultant, you will be part of Workato's Presales Team and Architecture community and you will own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that will define the customer's future state for AI and Enterprise Automation. Responsibilities This is a role for the North America-based role. Proximity to Palo Alto / NYC / Austin / Boston / Denver is preferred. In this role, you will also be accountable to: We seek an exceptional Solution Architect to join our growing team. In this role, you will enable our clients to become proficient on Workato's Agentic Platform, empowering their employees and building AI Agent solutions for their business. You will also be responsible to: • Collaborate with cross-functional customer teams, including data scientists and software engineers, AI leaders, and Architects, to show how Workato Agentic can change their work., • Effectively team with Sales AEs, Solution Architects, and other functions to evangelize our Agentic and AI capabilities, our approach to delivering Workato Agent solutions and AI infused use cases, and architecture tailored to the customer's AI use cases., • Articulate and educate on AI, Generative AI and Agentics architectural concepts to a variety of audiences, including digital leaders, AI engineer, prompt developers, data architects, enterprise architects, IT ops and line of business, marketing Ops, Finance Ops, People Ops etc., • Assist sales teams with technical discovery with customer prospects and be able to architect/build AI blue print solutions using Workato products, • Create and deliver custom product demonstrations, AI Agentic use cases, • Support solution accounts to execute technical workshops and proof of concepts (POCs), on-site or remote., • Able to respond to functional and technical elements of RFIs/RFPs, • Collect feedback from the field, synthesize, analyze, and channel it to product management and engineering for the AI agentic product roadmap., • Support Marketing with developer marketing and evangelism activities, including writing blogs, participating in demo-driven webinars, and speaking at industry events, • Stay updated on the latest Agentics, AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.RequirementsExperiences, • Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development., • Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects., • 06-10 years of pre-sales experience in a SaaS/iPass organization., • Familiarity with LLMs and has directly interacted with the development or support of chat based AI applications., • Strong understanding of prompt engineering, RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance., • Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT., • Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases., • Knowledge of python programming (or understanding/familiarity with object-oriented programming). Qualification, • Ability to learn new concepts, and technologies to solve problems., • Excellent presentation abilities and composure in front of all levels of technical and business audiences., • Ability to lead architectural discussions., • A passion for technology and translating that passion into business impact for customers., • Excellent verbal communication, written communication, and presentation skills in front of all audiences.

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

Job DescriptionWho we are:Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. Nitra offers physicians and medical clinics around the country credit and expense management products they crucially need, as well as a medical supply marketplace, in an all-in-one platform powered by machine learning technologies. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Plaid, and Goldman Sachs. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. We're looking for:A Backend Engineer with experience in Fintech or marketplaces who will be at the forefront of our mission to bring better finance solutions to millions of businesses in the United States. We need high-achieving and goal-oriented individual who will help Nitra to deliver on an ambitious roadmap of innovative banking and SaaS products.Your responsibilities will include: • Building backend APIs using node.js and express.js with a PostgreSQL database, • Working with banking and payment APIsYou have:, • Deep experience with and understanding of:, • JavaScript (5+ years), • Node.js (5+ years), • Express.js framework (2+ years), • APIs (5+ years)/Building fintech backend APIs (1+ years), • Databases (PostGreSQL) (2+ years), • Architecture (2+ years), • Fintech web applications (1+ years), • The ability to see challenges as opportunities to level up. High-achieving and goal-oriented. A self-starter, you are always able to understand the bigger picture, and take a leading role to impact it., • A collaborative spirit and the ability to communicate effectively with stakeholders, Highly collaborative and transparent in your work, output, and decision making., • A winning mindset and entrepreneurial spirit., • Passion for creative thinking and bold ideas for growing the business/enhancing customer experience. Always curious, ready to ask questions, and open to being questioned., • Expert time management and organizational skills., • The desire to be mentored by a unicorn founding CTO and engineers with experience at top notch companies like Facebook. We offer:, • Equity - Everyone at Nitra is an owner. When the company wins, you win, • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra, • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will be responsible for designing and building the underlying systems and pipelines for centralizing StubHub's internal plus third-party data. Our team's goal is to empower organizations across the company to transform data for analysis and reporting, new product development, experimentation, and machine learning. This includes developing the core infrastructure for the data lake and data warehouse, creating foundational data models and data pipelines, and building shared tooling to ease the process of creating high-quality, trustworthy data assets. As a Senior Data Engineer on the Data Platform team, you will contribute to core infrastructure, frameworks, and analytical data layers. You will also play a key role in defining the culture and expectations of what great data engineering looks like, and mentoring others on the team to reach that bar. We are looking for the right person that is passionate about the power of both data and software development fundamentals, and can use them in tandem to create a data ecosystem that is principled, maintainable, and extensible to the hypergrowth happening at StubHub.You will specialize in one or more business domains, building deep expertise and anticipating the needs of that business vertical. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do: • Build and operate scalable data pipelines with robust QA, monitoring, and alerting, • Create shared tooling to improve data practitioner (data engineering, analytics engineering, data science) productivity and quality across the company, • Influence the direction for key infrastructure and framework choices for data pipelining and data management, • Contribute to core cross-functional data models, • Launch data platform features that have immediate impact on the velocity of innovation and ultimately growth of the business, • Manage individual initiatives—Setting priorities, deadlines, and deliverables based on your technical expertise, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity in your team, • 7+ years of relevant development experience—in data platform or data engineering—in fast paced environments, • Very high SQL proficiency, with experience in both transactional RDBMS systems and distributed systems, • Strong programming and system design skills, • Experience designing and developing large-scale, efficient batch and streaming data processing, • Ability to analyze and reason about large datasets to identify data quality issues and other contextual insights, • Experience mentoring, delegating to, and reviewing the work of junior team members, • Passion for great data end-user experience and stewardship, • Experiece with:, • Data pipeline management and orchestration tools, such as Airflow, • Cloud-based data warehousing solutions, such as Snowflake, BigQuery, and Redshift, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

Job Description InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit Overview As a Lead Solutions Engineer, you would oversee integrations with advertisers, exchanges, and ecosystem partners using InMobi's products to develop innovative solutions and overcome technical obstacles presented by customers. You would be responsible for guaranteeing the technical aspects of the assigned integrations (both new and ongoing) by providing necessary requirements and technical guidance. You will actively shape the business with your technical expertise, customer focus, and passion using InMobi advertising solutions. *This role is in-person and on-site in our New York, NY office and is not open to remote locations. The Impact You'll Make • Partner directly with advertisers, DSPs, and internal teams to provide technical guidance pre- and post-sales., • Drive adoption of our audiences, curation partners and reseller platforms, • Troubleshoot and resolve technical issues in programmatic deals, ensuring smooth campaign delivery., • Act as the technical liaison between Regional Sales, Product, and Engineering teams to align customer needs with product capabilities., • Manage customer product integrations and deployments across multiple stakeholders., • Translate advertiser and market feedback into actionable insights for Product and Engineering teams., • Stay on top of programmatic ecosystem trends to be a trusted advisor for clients and partners.Experience / Skills, • 10+ years of experience in ad tech or digital advertising, with deep knowledge of programmatic supply & demand ecosystems., • 5+ years in a client-facing technical role (solutions engineering, sales engineering, or technical account management)., • Strong understanding of private marketplace deals, programmatic direct, DSPs, and deal troubleshooting., • Hands-on experience with audience management, data onboarding and data clean rooms., • Strong problem-solving skills with the ability to operate in ambiguity and drive clear outcomes., • Passion for customer success, with proven ability to balance technical depth and business impact., • Working knowledge of APIs, data flows, and basic querying (SQL, scripting) to support debugging and solutioning. InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi is a trusted and transparent technology partner for marketers, content creators, and businesses of all kinds. Incorporated in Singapore, InMobi maintains a large presence in San Mateo, CA, and Bangalore and has operations in New York, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London and Dubai. To learn more, visit inmobi.com. Our Purpose InMobi creates transformative mobile experiences and software platforms to positively impact people, businesses, and societies around the world. We believe that our innovations at the intersection of artificial intelligence, commerce, and the creator economy will revolutionize the way consumers use their mobile devices. Our mission is to power our customers' growth with innovative content and commerce experiences that help them activate their audiences and drive real connections. How do we do it? • An End-to-End Content, Monetization, & Marketing Platform the fuels industry growth, • AI-Powered Audience Activation for the open content, media, and marketing ecosystem *Our ranges may vary based on the final location and region of the role in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units (RSUs). We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock aids us to treat our employer company as our own and base our decisions on such a company's best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our benefits: • Competitive salary and RSU grant (where applicable), • High quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch provided in our offices daily, • Pet friendly work environment and robust pet insurance policy - because we love our animals!, • LinkedIn Learning on demand for personal and professional development InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit to better understand our benefits, values, and more!

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

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) You will work closely with cross-functional teams to ensure the delivery of high-quality, well-governed datasets and data products that empower data-driven decision-making across the business and product landscape, ultimately driving Maven's growth and customer success. You will also collaborate with product and leadership teams to help shape the strategic roadmap for Maven's data functions. As a Senior Data Engineer at Maven, you will: • Lead the design, development, and maintenance of high-performance, cost-efficient data pipelines - both batch and streaming., • Build and maintain robust data ingestion and export workflows that ensure end-to-end data quality, observability, and reliability in production environments., • Collaborate with data platform and backend engineering teams to evolve a scalable, secure, and fault-tolerant data architecture., • Drive technical design reviews and provide mentorship on engineering best practices, data architecture principles, and high coding standards., • Partner with product and service engineering teams to shape and model source datasets, ensuring alignment with a unified data vision across systems., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • 6+ years of experience in data engineering or backend systems development, with a track record of building scalable, performant, and reliable data solutions., • Highly proficient in SQL or similar languages for data transformation / ETL and analysis., • Deep experience in data modeling for large-scale distributed data warehouses (e.g., BigQuery, Redshift, Snowflake), with a strong understanding of design trade-offs and best practices., • Demonstrated ability to collaborate effectively with cross-functional partners, particularly product, analytics, and operations teams., • Working proficiency in one of the programming languages (Java, Python, Go, etc.), and hand-on experience with one of the workflow orchestration tools (eg. Apache Airflow), • Product-oriented mindset with a strong focus on scalable, maintainable engineering solutions that meet real business needs., • Experience leading design reviews and setting engineering standards and architecture direction. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .