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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Please note that this salary information is solely for candidates hire

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Please note that this salary information is solely for candidates hire

TL;DR Come join a hypergrowth AI startup and own the customer journey end-to-end. You’ll get more responsibility than you can handle, guaranteed :-) Location • Mon-Fri in NYC HQ (we learn best shoulder-to-shoulder) About Ajax Lawyers track their time in 6 minute increments. Lost billables and time cost them $100B/year. • Today, Ajax uses AI to automate timekeeping, find lost billables, and make lawyers’ days suck less., • Long-run, we’ll use data Ajax already processes - emails, docs, zooms, calls, browsing, and more - to file emails, automate reporting, manage firm profitability, preempt angry clients, and more. Stage: We’ve hit product-market fit, with customers saying things like “this app saved my life” and “I’m divorcing my husband for Ajax.” ARR is tripling every ~3 months. Founding Team: • Jack Weinberger - Founder, GTM (Yale, PE, Chief of Staff at Humming Homes), • Alex Weinberger - Founder, Eng. & Product (Amazon, Founding Eng. at dub), • Roger Jin - Founding ML Engineer (Harvard, Carnegie Mellon, nference) Why This Role Is Critical Each new firm runs a pilot before subscribing. Their buy decision hinges on whether users understand the app, feel supported, and see their preferences reflected in it. Our current pilot process reliably gets users to an “aha” moment (we’ve won 97% of pilots this year), but it’s high-touch. To win pilots, we run kickoffs, coach users, customize settings, spot issues, build fixes, document ROI, and more. You’ll own pilots - the most critical point in the customer journey - end-to-end, and figure out how to scale them as we onboard 10x more users each month. What You’ll Do You’ll win pilots - the most important point in the customer journey: • Our pilots reliably get users to an “aha” moment (we’ve won 97% of pilots this year), but it’s high-touch. We run kickoffs, coach users, customize settings, spot issues, build fixes, document ROI, and more., • You’ll have broad latitude to remake our processes, and your own role, as we grow. We don’t want rule-followers - we want to hire incredible people and give them lots of room to build., • If you succeed, you will be the reason Ajax grows 10x. Are you up for it? You might thrive here if… • Talking to users and solving their problems energizes you., • You’d rather ship v1 and learn than wait for perfect directions., • Your curiosity drives you to learn new skills and dive deep into problems., • You’re comfortable diving into Excel, and know (or are excited to ramp quickly on) SQL, • You communicate with clarity and kindness, whether to a paralegal or a partner, and you can be persuasive without leaving stakeholders with a sour taste., • You enjoy turning ad-hoc processes into repeatable systems Imposter-syndrome disclaimer: research shows some candidates avoid applying unless they check every box. If this role excites you, please reach out even if your experience looks a little different. What You’ll Get • $120-150k base + meaningful equity, • Benefits: health, dental, vision, unlimited PTO, • Daily collaboration with founders on product decisions, • A chance to bet on yourself and grow with us! Our Values (and how to tell if you’ll love it here) Earn “I’ll tell everybody I know about it” love from our customers • Everything we do is oriented towards earning customers’ love, trust, and referrals., • You’ll spend lots of time walking users through features, investigating their usage and proactively proposing improvements, and even doing things that don’t scale like sending donuts to power users., • Does this degree of customer obsession exhaust or energize you? Ship early and often • A customer reports a bug. You drop everything to investigate and manage to fix it in 4 minutes., • You email the customer immediately to report that you’ve solved their problem. They thank you effusively for the quick response and say they’re recommending Ajax to a friend at another firm., • Are you comfortable in an environment where velocity is this important? Own the outcome • We only bring somebody on if we can imagine looking back in 5 years and saying ‘they were the single most important driver of our success.’”, • You will deal with high-stakes situations and be responsible for the outcomes. If you do an incredible job, you’ll be the reason Ajax grows 10x - and your scope will grow along with it., • Do you want such a steep growth curve? If helping customers succeed and building new processes from scratch sounds fun, we’d love to hear from you! Ignore the LinkedIn form and apply here: Jack & Alex, Co-Founders of Ajax

We are seeking a skilled Machine Learning Engineer I to join our team in the SinAI Assurance Lab. The Machine Learning Engineer will play a key role in Machine Learning Operations and will be for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS) are rigorously validated for compliance, performance, and patient safety. You will work closely with AI product teams, clinical and technical stakeholders, DevOps engineers, and the AI Governance Committee to engineer scalable data flows that support model validation, real-time monitoring, and simulation-based testing environments. General Data Engineering • Build and maintain robust ETL pipelines for structured and unstructured clinical data from EHR, imaging, and text sources., • Design systems to automate data preparation, lineage tracking, and reproducibility for AI model inputs and outputs., • Develop data infrastructure for benchmarking and stress-testing models in clinical simulation environments., • Collaborate with DevOps and cloud teams to ensure deployment pipelines meet compliance and performance standards., • Set up and monitor model tracking infrastructure for evaluation metrics and drift detection., • Engineer and maintain pipelines that support pre-deployment model validation and post-deployment monitoring., • Collaborate with Data Scientists and Clinical Product Owners to validate data integrity, reproducibility, and fairness in AI workflows., • Ensure compliance with HIPAA, ethical guidelines, and institutional governance policies on sensitive health data use., • Effective communicate technical findings related to model and data integrity to governance teams, clinical stakeholders, and leadership., • Maintain clear and well-organized documentation of data workflows, platform architecture, and validation processes., • Help write internal reports on data infrastructure resilience, validation system status, and operational risk., • Stay informed on industry best practices in data engineering and healthcare-focused machine learning., • Possess an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space., • Work closely with cross-functional teams including data scientists, healthcare providers, and IT professionals to understand data requirements, develop solutions, and support data-driven decision-making., • Other duties as assigned Requirements • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) is preferred., • 2+ years of experience in data engineering, software engineering, or machine learning., • Proficient in Python and SQL, • Proficiency in at least one cloud computing platforms (e.g., AWS, Azure, GCP), • Intermediate knowledge of Machine Learning, • Familiarity with ML lifecycle management tools (e.g., Kubeflow, Airflow), • Experience on deployment and operationalization of ML Systems, • Experience with monitoring tools for AI model tracking, • Understanding of DevOps principles, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes), • Experience with version control systems (e.g., Git) Knowledge of big data technologies (e.g., Hadoop, Spark), • Strong problem-solving skills and ability to work in cross-functional teams Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $109000 - $163695 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

AI Engineer Location: NYC (Hybrid) Type: Full-Time About Us We’re building the AI Finance Analyst for healthcare operators—designed to help leaders at medical groups and health systems run their business with the same clarity and agility they expect in clinical operations. Our product acts like an embedded analyst, surfacing insights across service lines, contracts, and staffing—without needing deep technical or financial expertise. In less than a year, we’ve raised $7M from NEA, FPV, and Virtue. We’re now preparing to scale with the next wave of enterprise healthcare customers—and we’re growing the team to do it. About the Role We’re building healthcare’s AI financial analyst—an embedded decision support system for operators, not technologists. As an AI Engineer, you’ll sit at the core of our product, helping design and deploy intelligent systems that understand the financial complexity of provider organizations and deliver contextualized, accurate insights. You’ll be responsible for building LLM- and retrieval-based agent workflows, connecting models to structured and unstructured sources, and tuning pipelines for fast, trusted decision support. Your work will shape how our system learns and communicates financial logic at scale. Responsibilities • Build and refine agentic AI workflows (e.g., financial report generation, variance analysis, forecasting)., • Implement and maintain retrieval-augmented generation (RAG) pipelines with structured data sources., • Collaborate with FP&A domain experts and Forward Deployed Engineers to model customer-specific business logic., • Fine-tune LLM prompts, embeddings, and orchestrators to deliver accurate, safe, and explainable outputs., • Own critical systems and problems including reliability, latency, and performance of AI features across the product. What You Bring • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • 5+ years software development experience at a venture-backed startup or top technology firm., • 2+ years in ML/AI engineering, including LLM-based architectures and agent frameworks., • Strong software engineering skills (Python, Distributed systems, prompt pipelines, LangChain/RAG)., • Best practices for building agents using multi agent frameworks and optimized prompts for solving complex use cases., • Experience shipping AI into production at a high standard of trust, safety, and control., • A product-oriented mindset and interest in iterating closely with design, customers, and domain experts., • You should be able to move fast, take ownership and accountability of work, and sweat over details to get it right., • Ability to mentor and grow other engineers and help foster a culture of learning and growth in a fast paced environment., • Experience with AI native developer tools and how to use them to their full potential while prioritizing safety, high quality code, and standards., • Bonus: Experience with financial or enterprise systems (healthcare or provider finance a major plus). Why Translucent: We’re building healthcare’s AI financial analyst. We help providers make faster, smarter, and more confident decisions without digging through dashboards or waiting on analyst teams. Backed by top-tier investors, our team combines deep healthcare expertise and technical excellence to reinvent how work gets done in healthcare systems.

Software Engineer Location: NYC (Hybrid) Type: Full-Time About Us We're building the AI Finance Analyst for healthcare operators—designed to help leaders at medical groups and health systems run their business with the same clarity and agility they expect in clinical operations. Our product acts like an embedded analyst, surfacing insights across service lines, contracts, and staffing—without needing deep technical or financial expertise. In less than a year, we've raised $7M from NEA, FPV, and Virtue. We're now preparing to scale with the next wave of enterprise healthcare customers—and we're growing the team to do it. About the Role As a Software Engineer at Translucent, you'll build the foundational systems that power our AI financial analyst. You'll work across our technology stack—from data ingestion and processing pipelines to the APIs and services that deliver complex financial insights in simple, actionable formats. You'll collaborate closely with our AI Engineers, Forward Deployed Engineers, and domain experts to create robust, scalable systems that healthcare operators can trust with their most critical business decisions. Responsibilities • Design and build scalable backend systems and APIs that support our AI-driven financial analysis platform, • Develop data processing pipelines that handle complex healthcare financial data from multiple sources, • Build services and integrations that make sophisticated financial insights accessible to healthcare operators, • Collaborate with AI Engineers to integrate LLM workflows and ensure reliable performance at scale, • Work with Forward Deployed Engineers to implement customer-specific business logic and integrations, • Own system reliability, performance monitoring, and optimization across the platform, • Participate in architectural decisions as we scale to serve enterprise healthcare customers What You Bring • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • Strong software engineering fundamentals and problem-solving skills, • Proficiency in modern programming languages (Python, Go, Java, or similar), • Experience with APIs, databases, and cloud infrastructure, • Understanding of software design patterns, testing, and deployment best practices, • Customer-first mindset: Driven to understand healthcare operators' pain points and build solutions that truly solve their problems, • Startup mentality: Ready to sprint when priorities shift, jump into unfamiliar areas when the team needs it, and wear multiple hats, • Owner mentality: Take end-to-end ownership of features and systems, driving them from conception to customer impact, • Strong judgment on trade-offs: Balance shipping quickly to learn from customers against investing in longer-term technical foundations, • Excellent communication skills and ability to collaborate across technical and non-technical teams, • Interest in healthcare and complex enterprise systems Experience Level We typically look for candidates with 3+ years of professional software development experience, but we're most interested in engineers who can make meaningful contributions from day one. We welcome applications from exceptional early-career developers who demonstrate strong technical skills, a proven track record of building impressive projects, and the ability to thrive in a fast-paced startup environment. Bonus Points • Experience with distributed systems and high-scale data processing, • Familiarity with AI/ML systems and working alongside data science teams, • Experience with financial systems or healthcare technology, • Previous startup or fast-growth company experience, • Track record of driving customer impact through technical decisions Why Translucent We're building healthcare's AI financial analyst. We help providers make faster, smarter, and more confident decisions without digging through dashboards or waiting on analyst teams. Backed by top-tier investors, our team combines deep healthcare expertise and technical excellence to reinvent how work gets done in healthcare systems.

As a Staff Machine Learning Engineer, you will work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring both reliability and effectiveness. Drive core components of our ML Platform technical roadma

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. As a Senior AI/ML Engineer this

Job Description At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack. About you If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. Requirements Responsibilities: • Building and deploying scalable machine learning models using MLE and ML OPs frameworks, • Developing interactive web applications and dashboards to present data-driven insights to stakeholders, • Collaborating with cross-functional teams, including software developers and business stakeholders, to understand requirements and deliver impactful solutions, • Providing consulting services to help the organization make data-driven decisions. Qualifications: • Extensive experience in data engineering, data analysis, and machine learning., • Proficiency in Python, SQL, and cloud-based data processing tools., • Hands-on experience with Data IKU, MLE, ML OPs, and web application development frameworks., • Strong experience on Google cloud., • Strong problem-solving skills and the ability to translate business requirements into technical solutions., • Excellent communication and presentation skills to effectively convey insights to stakeholders. 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.

Job Description We at Continua have built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. We recently raised a $8M seed round and we know we're on to something! We've seen extremely 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 that can be based in Seattle, WA or New York, NY. 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 (i.e. not just in Jupyter notebooks) 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. 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 writing Python (knowing Go is a plus) * You know how to work independently to handle ambiguity 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, Slack, Disney, 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 Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious ML engineer as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 3+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job DescriptionSalary: $130,000 - $150,000 Location: Remote Job Type: Full-time About Us! At Ready Computing, we are driven by innovation and a passion for delivering transformative solutions in healthcare technology. Our fully remote environment allows us to collaborate with talent across 30+ states and internationally, fostering a diverse and dynamic team culture. We provide an inclusive workplace where professional development thrives, offering career path certifications and continuing education support. Our comprehensive benefits package includes four health plan options, 401K matching, flexible paid time off, wellness programs, and financial planning services, ensuring both personal and professional well-being for our employees. Were looking for an Innovation Engineer who is passionate about applying emerging technologies, especially AI and machine learning, to real-world challenges. This role is ideal for an experienced engineer who thrives at the intersection of cloud, code, and experimentation. Youll be a hands-on contributor to some of our most forward-looking initiatives, working across GCP and AWS to design and deliver solutions that drive meaningful impact. From integrating large language models to building internal tools that unlock team productivity, youll play a key role in helping Ready Computing stay ahead of whats next. What Youll Do Lead and Deliver Innovation Projects • Own end-to-end delivery of innovation-focused initiatives from discovery and prototyping to development and launch, • Collaborate with internal teams and stakeholders to define technical approaches that solve complex business challenges, • Jump into projects wherever support is needed from architecture to scripting, automation, or integration work, • Maintain flexibility across use cases, adapting quickly to new ideas and technical domains Design & Implement AI-Enabled Solutions • Build and deploy AI-powered applications using platforms such as Vertex AI, LangChain, and managed LLM APIs, • Implement retrieval-augmented generation (RAG), prompt orchestration, and AI tooling integrations to power automation and insights, • Support data preparation, model integration, and scalable deployment of AI/ML services, • Stay informed on new developments in generative AI and machine learning, and explore how they can be applied internally Cloud Architecture & Engineering • Architect and implement cloud-native solutions using services from Google Cloud Platform (GCP) and AWS, • Set up infrastructure, networking, IAM, and automation pipelines aligned with cloud best practices, • Work with tools like Terraform, Cloud Build, Cloud Functions, Lambda, and container-based deployments, • Troubleshoot and support environments as part of larger project delivery or rapid innovation cycles Experimentation & Prototyping • Rapidly prototype internal tools, POCs, or lightweight applications to test emerging concepts, • Evaluate new platforms, frameworks, and approaches to help define our innovation technology stack, • Pilot internal innovation efforts that accelerate delivery and productivity across the company Collaboration & Communication • Translate complex technical concepts into understandable language for non-technical audiences, • Work closely with product, engineering, and operations to align on goals and execution, • Document best practices, architecture decisions, and outcomes from innovation projects, • Be an internal champion for new ideas, helping foster a culture of curiosity and continuous learning What You Bring • Strong hands-on experience with Google Cloud Platform (GCP) and AWS, including compute, storage, networking, and serverless/cloud-native services, • Proven track record of contributing to or delivering AI/ML projects, ideally using platforms like Vertex AI, LangChain, or LLM APIs, • Proficiency in at least one programming language such as Python, Java, or JavaScript, • Ability to build, integrate, and troubleshoot APIs, automation scripts, or lightweight internal tools, • Comfortable navigating ambiguous problems and fast-paced innovation cycles with minimal direction, • Strong cross-functional communication skills; able to explain technical concepts to non-technical stakeholders, • Curious and adaptable, with a proactive mindset and willingness to explore new technologies and domains, • Passionate about solving real-world problems with emerging tech like AI, automation, and cloud platforms, • Excited to collaborate across departments and take ownership of meaningful, high-impact projects Preferred Qualifications • BA/BS or equivalent work experience in Software Engineering, Computer Science, or a related field, • 5+ years of engineering experience across cloud, infrastructure, or AI projects, • Experience with platforms like Vertex AI, LangChain, SageMaker, or other AI/ML toolkits, • Familiarity with Agile development methodologies and collaborative prototyping, • Oral and written fluency in English Home Office Requirements • A minimum internet speed of 25 Mbps for downloads and 1.5 Mbps for uploads is required, • A private Wi-Fi network with a strong, unique password is necessary to access company data or systems, • The company provides a monthly internet stipend. New hires must complete a speed test during onboarding and update any default router passwords to ensure secure network access Why Join Us? Innovative & Impactful Work Your contributions will shape healthcare technology and improve patient outcomes Global Reach & Growth Opportunities Work with leading experts in healthcare IT and enterprise solutions Collaborative & Dynamic Culture Join a supportive team environment that values knowledge-sharing, mentorship, and career development Competitive salary and benefits package, including: • Four health plan options to fit your needs, • 401(k) matchingto help secure your financial future, • Flexible Paid Time Off (PTO) for work-life balance, • Wellness programs to support your mental and physical well-being, • Financial planning services to help you manage your future Ready to Apply? If youre excited about healthcare IT, system integration, and building next-gen interoperability solutions, wed love to hear from you! Apply now or contact for more information. Ready Computing is an equal opportunity employer. We do not discriminate with regard to race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionAI Cloud Network Architect Title: AI Cloud Network Architect Location: FULLY remote! Salary: $175k-$250k/year + BONUS + RSUs Requirements: 7+ years of Network Engineering experience in Cloud Computing environment, Software Defined Networking, CCNP, HPC/AI Our global platform focuses AI/High Performance Computing Infrastructure. Founded in 2017, we are now post-IPO, publicly traded, and experiencing MASSIVE GROWTH... Our revenue grew over 95% in the last YEAR! We have made several acquisitions and formed several partnerships during this period of growth, and we need YOUR HELP to keep it going. We're currently looking to hire a fully remote Network Engineer to spearhead the development of high-performance, scalable networking infrastructure tailored for AI-driven cloud environments. This role centers on architecting and fine-tuning network solutions across geographically distributed data centers, enabling support for AI workloads across bare metal, virtual machines, and containerized platforms - from initial training to fine-tuning and inference stages. In this role, you'll collaborate cross-functionally with infrastructure, GPU, and platform engineering teams to deliver ultra-low latency and high-throughput systems optimized for next-generation AI clusters. What You'll be Doing: • Architect robust, high-throughput data center network fabrics optimized for AI workloads and multi-tenant cloud environments, • Design and deploy EVPN/VXLAN overlays, L2/L3 switching topologies, and host-level multi-networking across bare metal, VMs, and containers; proficient in MLAG switch environments, • Implement BGP, VRFs, and ACLs to enforce network segmentation, tenant isolation, and dynamic security policy frameworks, • Lead end-to-end design of advanced GPU interconnect fabrics (e.g., Infiniband, Spectrum-X, RDMA/RoCEv2, DPUs/Smart NICs) leveraging CLOS/ECMP architectures, • Build and maintain carrier-grade edge routing systems with BGP-based peering, automatic failover, and intelligent traffic engineering, • Manage inter-data center connectivity, routing governance, and resilience strategies across geographically distributed clusters, • 5+ years of experience in data center or service provider networking, • Proven expertise across key domains:, • High-speed Ethernet architectures (100G, 200G, 400G, 800G), • Advanced routing and switching technologies: EVPN/VXLAN, Layer 2/3, BGP, OSPF, VRFs, and QoS, • High-performance fabrics for AI/HPC workloads, including Infiniband and RoCEv2, • Multi-host networking across bare metal, KVM, and Kubernetes environments, • Experience designing GPU cluster networks with technologies such as NVIDIA UFM, SHARP, and data center fabric best practices, • Proficient with infrastructure automation tools, including Netbox, Netconf, and IaC frameworks like Ansible and Terraform, • Practical knowledge of vendor platforms: Arista EOS, Juniper Junos, and Mellanox/NVIDIA Cumulus and Onyx, • Strong grasp of network telemetry, packet-level diagnostics, and performance optimization techniques, • Familiarity with AI/ML workload patterns, including model training and inference bottlenecks, • Experience developing or integrating SDN controllers using Python, • Background in multi-tenant cloud networking for platform-as-a-service (PaaS) or infrastructure-as-a-service (IaaS) environments, • $175k - $250k/year + BONUS!, • RSU's, • 5 weeks PTO, • 401k w/ match, • Comprehensive benefits and MORE! - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 09/11/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionAbout LGND LGND is an early-stage startup revolutionizing geospatial AI infrastructure. We bridge the gap between large Earth observation models and specific application developers, enabling intuitive interaction with geospatial data. Our core mission is to empower decision-makers with rapid insights from vast, complex datasets. As part of our small, dynamic team, you will play a foundational role in building tools that have never existed before. Role Summary We’re looking for a creative and energetic Full Stack Software Engineer to join our founding product team. In this role, you’ll take early-stage ideas and rapidly turn them into functional, interactive demos that showcase the potential of our platform. You’ll work primarily in React and Python, interfacing with LGND’s APIs, geospatial services, and large-scale AI frameworks — including emerging protocols like Model Context Protocol (MCP). This is a fast-moving, experimental role designed to help us quickly validate features and use cases. You’ll work closely with product and research leads, build lightweight interfaces to our backend infrastructure, and prototype interactions that bring geospatial data and AI results to life — especially through mapping and spatial UI. This role is ideal for someone who thrives in ambiguity, ships quickly, and has a strong eye for product potential. It's a unique opportunity to help define and shape the frontend of an AI-native geospatial platform before we scale a broader engineering and design team. This is a hybrid role, with a preference for candidates based in New York, San Francisco Bay Area, or Copenhagen. Remote work is also a possibility. Key Responsibilities • Rapid Prototyping: Take ideas from whiteboard to working demo in days — not weeks. Build and iterate on new products and features using lightweight frontends and LGND’s backend APIs., • Frontend Development: Build rich, spatially aware interfaces using React, including map-based UIs (e.g., Mapbox), data visualizations, and lightweight dashboards., • API Integration: Work almost entirely against APIs, integrating LGND’s services and MCP servers, as well as third-party geospatial services., • Backend Collaboration: Write or modify small backend components using Python, especially for internal tooling or lightweight extensions to our existing APIs., • Infrastructure-Aware UI: Build frontends that are responsive to real-world compute and data infrastructure constraints — particularly when working with large spatial datasets or ML workflows., • UX Experimentation: Help evaluate UX for interacting with embeddings, vector search results, and spatial metadata. Propose new patterns where needed., • Cross-functional Collaboration: Work alongside AI engineers, backend developers, product leads, and researchers to translate technical workflows into intuitive interfaces., • Build an interactive map-based UI to demo a new geospatial search capability powered by LGND’s vector search API., • Prototype an exploration interface that allows users to define an area of interest, select a model, and query MCP-based search results., • Help build the internal playground for evaluating embeddings and vector comparisons across different model outputs., • Integrate Mapbox maps and other geospatial layers into demo frontends for live user testing., • Frontend Expertise: Deep experience with React, including component architecture, state management, and styling frameworks., • API Integration: Comfortable working with RESTful APIs, JSON payloads, and asynchronous calls., • Database Experience: Some experience with relational databases like PostgreSQL or MySQL., • Rapid Iteration: Ability to quickly prototype, test, and revise interfaces with minimal supervision., • Git & CI/CD: Comfort with version control workflows and basic CI/CD tooling (e.g., GitHub Actions)., • AI/ML Curiosity: Interest in AI/ML systems, particularly geospatial foundation models and vector embeddings (no prior experience required). Note: Even if you don't fulfill all the criteria, you are encouraged to apply. We welcome applicants from diverse backgrounds and nontraditional paths. Preferred Experience • Prior experience in early-stage startups or prototyping environments., • Exposure to geospatial data and formats (GeoJSON, tilesets, raster data)., • Familiarity with Model Context Protocol or retrieval-augmented generation workflows., • Experience with visualizing model outputs, embeddings, or ML metrics in frontend apps., • Self-Starter: Comfortable taking initiative, scoping work independently, and managing ambiguity., • Creative & Curious: Enjoys experimenting with new interfaces and technologies., • Product-Oriented: Focused on end-user experience and delivering usable value quickly., • Collaborative: Works well across technical and non-technical stakeholders., • Flexible & Adaptable: Thrives in environments with competing priorities and shifting context. Benefits Benefits & Cultural Values At LGND, we prize: • Humility: Value collaboration and learning from others., • Integrity: Uphold honesty and transparency., • Effectiveness: Focus on what works and deliver results. Benefits • Competitive salary based on experience and location, • Equity options in a high-growth early-stage startup, • Health care and 401k, • Flexible work arrangements (hybrid/remote), • Opportunity to shape LGND’s technology and company culture, • Work on cutting-edge problems in geospatial AI with real-world impact

Job Description A stealth-mode startup is assembling a world-class team to build the first AGI-powered investor: a universal architecture that autonomously gathers data, generates investment signals, and executes decisions. We're not just automating finance—we're reimagining it. This is a rare opportunity to join a founding team of elite builders (8 engineers, all technical) with deep roots in AI and crypto. The project is early, ambitious, and backed by proven innovators. We're blending cutting-edge ML with crypto-native infrastructure to create a fully on-chain, AI-augmented venture fund—and eventually, a self-directed hedge fund. What We're Building: • An AGI model specialized in financial workflows: data ingestion, signal generation, and execution., • Deployed into top-tier finance firms to automate alpha creation., • Long-term vision: sell proprietary signals and evolve into a fully autonomous, on-chain asset manager. Who We're Looking For: We're hiring a Full-Stack Engineer who thrives in high-intensity environments and wants to build something foundational. You should be: • A true startup archetype (think YC-style builder), • Entrepreneurial, independent, and obsessed with product velocity, • Comfortable in ambiguity and excited by zero-to-one challenges, • A top performer with exceptional achievements (undergrad excellence preferred over advanced degrees) Tech Stack: • Languages: Python, TypeScript/JavaScript, • Infra: AWS, Modal, Prefect, Snowflake, • Other: SQL Role Details: • Salary: $200K–$250K + Equity, • Fully Remote (optional NYC office), • Stealth Mode: No website, just code, • High standards, fast pace, deep focus Why This Matters: This isn't just another fintech startup. It's a moonshot to build a thinking machine that can invest better than humans—and deploy capital autonomously. If you've ever dreamed of building something that reshapes an industry from the ground up, this is your moment. Ready to build the future of autonomous finance? Let's talk.

Job Description The AI Solutions Engineer is the primary builder, architect, and technical steward of the organization's internal AI capabilities. This role is responsible for the design, development, and operationalization of robust, scalable AI-powered tools and integrations that solve specific business problems. Their mission is to translate high-level business needs and identified opportunities into tangible, working technology. The primary objective is to build and maintain the technical infrastructure that enables the organization's AI adoption strategy. Key Responsibilities: This role is responsible for the full technical lifecycle of AI-driven solutions, from initial prototype to production deployment and maintenance. Platform Assessment & Implementation · Leverage first, build second: Prioritize the use of AI capabilities already available within FINN Partners’ tech stack to automate workflows and boost productivity. · Assess, evaluate, and implement a standard agentic AI platform to serve as the foundational technology for enterprise-wide solutions, ensuring our internal AI stack remains modern, efficient, and aligned with industry best practices. Internal Tool Development & Prototyping · Design, build and maintain supplementary internal tools, integrations and micro‑services when native capabilities do not fully address identified pain‑points or scalability requirements. · Rapidly prototype lightweight AI‑enabled utilities, validate business value, and promote successful pilots into robust production services. · Oversee architectural and technology choices made by AI systems by reviewing model selection, libraries and frameworks, and debug complex multi‑service environments when needed. System Architecture & Technical Oversight · Oversee architectural and technology choices for all internal AI systems by reviewing model selection, libraries, and frameworks. · The Solutions Engineer is also responsible for debugging multi-service environments when needed. Hands-On Prompt Engineering & Solutioning · Provide expert guidance on crafting effective prompts and interaction patterns for generative models (Gemini, ChatGPT, Claude, etc.). · Assist teams with data preparation, fine‑tuning and evaluation to maximise solution accuracy, safety and reliability. Required Skills & Qualifications Technical Expertise · A solid understanding of machine learning techniques and algorithms. · Strong proficiency in applicable programming languages · Experience with AI frameworks and libraries Platform & Systems Knowledge · Practical experience with generative AI APIs and evaluation methods. · Strong familiarity with cloud platforms like Azure, GCP, or AWS and their respective AI/ML services. The ability to design and implement scalable and robust AI systems is a core requirement. · Familiarity and experience with setting up and leveraging MCP servers to power AI driven actions Problem-Solving Strong analytical thinking and problem-solving capabilities are essential for navigating complex technical challenges and translating business needs into technical requirements. Work Experience A degree in Computer Science, Artificial Intelligence, or a related field is typically required, along with significant hands-on experience in a similar role. Why Join Us? ● Be at the forefront of AI innovation and directly impact how our entire organization leverages this transformative technology. ● Work in a collaborative and supportive environment where your contributions are highly valued. ● Opportunity for continuous learning and professional development in a rapidly evolving field. ● Shape the future of AI adoption and empower 1300+ employees to achieve their full potential. Anticipated Salary: $90K to $100K.; salary commensurate with experience and depending upon workplace. Please upload your resume and cover letter, as well as indicate your desired salary in $US Dollars. While we appreciate the interest of all candidates, we will only respond to those with whom we have a greater interest. About FINN Partners: Founded in 2011 on the core principles of innovation and collaborative partnership, FINN Partners has grown from about $24 million in fees to nearly $200 million in fees over ten years, becoming one of the fastest growing independent public relations agencies in the world. The full-service marketing and communications company's record setting pace is a result of organic growth and integrating new companies and new people into the FINN world through a common philosophy. With more than 1,300 professionals across 35 offices, FINN provides clients with global access and capabilities in the Americas, Europe and Asia. FINN Partners clients are also supported through longstanding partner agencies and its membership in the PROI network of leading agencies around the world. Headquartered in New York, FINN has offices in: Abu Dhabi, Atlanta, Bangalore, Bangkok, Beijing, Boston, Chicago, Delhi, Denver, Detroit, Dublin, Fort Lauderdale, Frankfurt, Hong Kong, Honolulu, Jerusalem, Kuala Lumpur, London, Los Angeles, Madison, Manila, Mumbai, Munich, Nashville, Orange County, Paris, Portland, San Diego, San Francisco, Seattle, Shanghai, Singapore, Washington D.C. and Yangon. Powered by JazzHR npbJe5u9RH

Job Description 📍 Working arrangement: United States (Remote - work from anywhere in the United States) Build Intelligent Systems from Model to UI - and Everything in Between At BJAK, we’re using AI to reinvent how financial services work across Southeast Asia - making them smarter, simpler, and more inclusive. As a Founding Full Stack AI Engineer, you’ll bridge machine learning and software engineering to deliver real AI-powered features into users’ hands. This is a remote role based in the US, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply. Why This Role Matters * You’ll be the critical link between AI models and user-facing experiences * Your work will shape how millions of people interact with smart financial services * You’ll architect and deliver full-stack systems that combine backend, ML, and frontend layers * You’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everything What You’ll Do * Build and deploy full-stack applications that incorporate ML models * Work with data scientists and ML engineers to integrate models into scalable backend systems * Develop APIs, backend services, and real-time data pipelines for intelligent features * Design clean, performant, and intuitive UIs that surface AI insights to users * Own the full development lifecycle - from architecture and testing to deployment and monitoring * Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions * Continuously improve the performance, usability, and reliability of AI-integrated applications You’ll Thrive Here If You... * Own the outcome, you care about impact, not just lines of code * Solve problems end-to-end, from data and systems to UI and user flow * Build fast and iterate even faster, V1 out now beats V3 someday * Move forward even in chaos, ambiguity, shifting priorities, and lean resources excite you * Think like a founder - you don’t wait to be told, you figure it out and ship * Learn aggressively, new tools, frameworks, and failures fuel your growth * Have the humility to learn from others and the drive to help them grow * Bring energy, clarity, and execution - and raise the bar for your team every day Requirements * Bachelor’s degree in Computer Science, Software Engineering, or related field * Strong proficiency in Python is a must * 2 - 4 years of experience in full stack development (frontend + backend) * Strong programming skills in JavaScript (Node.js, React, or similar) * Experience integrating ML models into production systems * Familiarity with REST APIs, cloud deployment, and scalable architecture * Comfortable working with SQL/NoSQL databases and distributed systems * Strong grasp of software design patterns, testing, and debugging * Must be based in the US and open to remote collaboration with international teams Nice to Have * Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving * Familiarity with modern frontend stacks like Next.js, Vue, or TypeScript * Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS * Background in high-growth startups or agile product teams * Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users What You’ll Get * Competitive salary and performance-based bonuses * Remote-first setup with flexibility to work from anywhere in the US * High-impact, high-ownership role in a product-led AI company * Flat structure - your ideas are valued, and your code is seen * Fast-track growth with real visibility across engineering, data, and product * Regional exposure across Southeast Asia and the chance to shape products at scale About BJAK BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through smart, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs - making them more accessible, transparent, and fair. If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment - we’d love to hear from you.

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: $175K - $275K

Job Description Rockstar is recruiting for a fast-growing, venture-backed startup that is redefining finance and accounting for consumer brands. The client pairs experienced accountants with AI-powered software automation to deliver real-time, product-level financial clarity for brands, providing unmatched accuracy and effortless, audit-ready financials at every stage of growth. The team is composed of experienced product leaders and engineers, and is backed by top-tier investors such as Asymmetric Capital Partners, Construct Capital, and Lux Capital. This is an opportunity to join a company building solutions that provide seamless financial insights to consumer brands, enabling smarter decisions and faster, more profitable growth. About this role A highly motivated Senior Software Engineer is sought to join the growing team in New York. In this role, the Senior Software Engineer will report directly to the Founder & CEO and will be responsible for working cross-functionally and directly with customers to improve and scale the platform. This is a high-impact position with the opportunity to make significant technical architecture decisions, iterate on prototypes, and build features from concept to launch in a highly autonomous environment. Responsibilities • Design, develop, test, and deploy systems from concept to prototype that automate key finance workflows and transform data into real-time financial insights for brands., • Contribute to a technical roadmap that leverages modern AI technologies, working with customers and the rest of the team to define product requirements and proactively identify areas for improvement., • Build and refine AI-powered pipelines that extract, classify, and link unstructured data from a variety of data sources, including supply chain documentation., • Design and develop real-time data synchronization systems using GraphQL subscriptions, WebSockets, and PubSub to keep data instantly updated across all users., • Architect multi-tenant enterprise features for procurement, inventory, and accounting automation with organization-level data isolation., • Develop sophisticated integration layers connecting ecommerce platforms (Shopify, Amazon), warehouse platforms, financial software (Bill, QuickBooks), logistics providers, and email inboxes., • Build and optimize background processing systems for document analysis, data aggregation, and automated financial reconciliation workflows. You're a good fit if you: • Have 5+ years of full-stack industry experience building complex, data-intensive applications, • Are proficient in the core stack: TypeScript, NestJS, GraphQL, Next.js, PostgreSQL, and Redis, • Have experience building from scratch, ideally in finance, accounting, supply chain, or B2B domains, • Have experience with real-time systems (WebSockets, subscriptions, event-driven architectures), • Have worked intimately with AI/ML integrations (document processing, OCR, content extraction), • Understand multi-tenant architecture patterns and enterprise security requirements, • Have experience with cloud platforms (AWS, Heroku) and containerization (Docker), • Are comfortable working with complex domains and translating requirements into technical solutions, • Are self-driven with a strong focus on product impact and customer experience in enterprise environments, • Bonus: experience with inventory management, document processing, financial, or general ledger systems Benefits & Perks • Competitive salary & equity package, • Unlimited vacation (with 15 days encouraged), • Comprehensive medical, dental, and vision insurance, • Relocation assistance to NYC Why work with this team The company fosters a culture where hard work is rewarded and personal growth is prioritized. Team members will: • Play a key role as an early team member at a growing startup with a high level of ownership., • Work directly with the founding team and customers., • Be part of a fast-paced team that works together in person in NY., • Have opportunities for mentorship and professional development., • Solve real problems that impact the bottom line of leading consumer brands. CID: 2299

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams, and gain exposure to a wide range of technology. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Staff Software Engineer (Distributed Systems) Target total compensation of $300,000 - $515,000, including a fixed annual salary of $200,000 - $315,000, an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. We are looking for a Software Engineer with deep experience in distributed systems to join our team in New York City. You will architect, build, and scale backend services that power critical systems across Rokt's ecommerce platform. You’ll work on systems that demand low latency, high throughput, and rock-solid reliability—while leveraging AI tools to accelerate development, improve resilience, and increase autonomy. As an engineer, you will drive projects from design through delivery, mentoring others and contributing to our engineering best practices. You’ll partner cross-functionally with Product, ML, and SRE to ensure performance and scalability as Rokt continues to scale globally. What You’ll Do • Design and implement distributed systems and backend APIs that scale to billions of transactions per year., • Own architectural decisions and contribute to system design reviews and incident root cause analyses., • Drive performance optimizations and refactors to improve system reliability, latency, and cost., • Leverage AI/ML frameworks and tools (e.g. GitHub Copilot, Datadog AI, etc.) to speed up delivery and reduce toil., • Mentor junior engineers and set technical direction for the team on scalability and observability best practices., • At least 5 years of experience building production-grade distributed systems at scale., • Proficiency in Go, Java, or similar backend languages, and strong understanding of concurrency, data structures, and algorithms., • Experience designing APIs, • Strong command of system observability, incident response, and fault-tolerant architectures., • Familiarity with cloud-native stacks (AWS, Kubernetes, Terraform) and CI/CD tooling., • Effective communicator and mentor; able to lead discussions and influence design decisions. About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job DescriptionAbout the Company Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. * Company Type: Publicly traded * Product: AI-centric GPU cloud platform & infrastructure for training AI models * Candidate Location: Remote anywhere in the US Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers. What You'll Do * Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements * Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices * Collaborate with clients to understand their business requirements and develop solution architectures * Design and document Infrastructure as Code solutions, technical documentation, and how-tos * Help customers optimize pipeline performance and scalability * Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams * Assist with marketing efforts during events such as hackathons, conferences, and webinars What You Bring * 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing * Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python * Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) * Solid understanding of the cloud ML tools landscape from industry leaders * Legal authorization to work in the U.S. on a full-time basis without visa sponsorship Key Attributes for Success * Self-starter who thrives in a fast-paced, evolving startup environment * Collaborative team player who can work effectively across different departments and cultures * Results-oriented with a strong sense of ownership and accountability * Innovative problem-solver who can identify new opportunities for growth * Continuous learner, eager to stay updated on the latest AI and cloud computing trends * High ethical standards and integrity, with a commitment to responsible AI development * Passionate about democratizing access to AI infrastructure Why Join? * Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location) * Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families * 401(k) plan with a 4% match program * Stock options plan * Flexible remote work environment * 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers * Up to $85/month for mobile and internet * Opportunity to work with cutting-edge AI and cloud technologies * Contribute to sustainable AI infrastructure with energy-efficient data centers * Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process * Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A) * Level 2: Virtual interview with the Hiring Manager (Skills assessment) * Level 3: Interview with the C-level (Final round) * Reference and Background Checks: Conducted post-interviews * Offer: Extended to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

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 Python (required), 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, • Expert in Python, • 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 Description We’re looking to bring on a staff engineer who will architect and build entire systems and features. Requirements • Comfortable with all parts of the stack — you have no trouble context-switching from editing CSS to tuning database queries., • Expert at React, JavaScript/Typescript, HTML, CSS and modern front-end build systems (Webpack, ES6, etc)., • Familiar with NodeJS, Postgres and keen to optimize a production grade product, • Deep experience building rich, interactive apps with great attention to detail., • Experience building, deploying, and debugging distributed systems., • Loves to solution for difficult problems and innovating where necessary., • Ideally familiar with ML-powered tools with user-friendly interfaces., • 8+ years experience We're a React Next JS Typescript app using a combination of APIs and Modal for our backend.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations., • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description 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. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred 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 DescriptionDevOps / Site Reliability Engineer (Remote) Location: Remote (US-based) Reports to: CTO, SportsRecruits About SportsRecruits SportsRecruits is the leading sports recruiting network, connecting athletes, clubs, events, and college coaches in the recruiting process. The company’s network and tools are trusted by sports organizations such as the IWLCA, IMLCA, NFHCA, and Junior Volleyball Association. Every year, millions of connections are made on the network, resulting in commitments to the best academic and athletic institutions. SportsRecruits is part of IMG Academy, the world's leading sports education brand. IMG Academy provides a holistic education model that empowers student-athletes to win their future, preparing them for college and for life. IMG Academy provides growth opportunities for all student-athletes through an innovative suite of on-campus and online experiences: • Boarding school and camps, via a state-of-the-art campus in Bradenton, Fla., • Online coaching via IMG Academy+, with a focus on personal development through the lens of sport and performance We’re looking for a DevOps / Site Reliability Engineer to join our team. You will play a key role in ensuring that our systems are efficient, reliable, and scalable, while helping us improve developer productivity and application performance. You’ll collaborate closely with developers, QA, product, and our cloud security engineer to streamline builds and deployments, maintain application infrastructure, and proactively solve issues before they impact our users. Our stack includes: • Laravel + PHP8 backend APIs, • Vue.js (v2 and v3) + Inertia.js + Tailwind frontend, • React Native mobile applications, • Python for internal tools and ML/LLM-based features, • Infrastructure as code managed by Terraform, • AWS ECS Fargate, AWS RDS, AWS ECS, SQS, MediaConvert, and more, • CI/CD & Deployments, • Configure, manage, and improve Bitbucket pipelines for deploying our applications to staging and production., • Improve CI pipeline speed, reliability, and security in collaboration with our Cloud Security Engineer., • Assist developers and QA teams with deployments., • Work with Docker and AWS ECR for container builds and deployment workflows., • Monitoring & Incident Response, • Review and investigate system issues flagged by Sentry, NewRelic, and CloudWatch., • Monitor application performance, identify bottlenecks, and propose solutions., • Respond to production and staging issues, including database latency, unresponsive resources, or failed jobs., • Environment & Infrastructure Management, • Maintain and support non-production environments used by developers and QA., • Maintain and improve AWS infrastructure and Terraform resources., • Perform updates and upgrades to AWS services as needed to ensure reliability and ability to scale., • Collaboration & Continuous Improvement, • Partner with engineers to design systems that are scalable, observable, and resilient., • Work closely with our cloud security engineer to ensure secure configurations in CI/CD, AWS, and containerized workloads., • Contribute ideas and improvements to workflows, automation, and monitoring strategies. About YouMust-Haves:, • 3+ years of experience in DevOps, SRE, or related engineering roles., • Strong experience configuring CI/CD pipelines (Bitbucket Pipelines, GitHub Actions, or similar)., • Experience configuring, debugging and deploying PHP applications, • Hands-on experience with Docker and AWS ECR for container builds and deployments., • Strong experience with AWS services (EC2, RDS, ECS, Lambda, etc.) and Terraform for infrastructure as code., • Familiarity with monitoring and observability tools such as New Relic, Sentry, CloudWatch, or similar., • Strong troubleshooting skills for debugging performance issues in databases, applications, and distributed systems., • Experience with modern software development workflows (agile teams, code reviews, branching strategies)., • Strong scripting and automation skills (Bash, Python, or similar)., • Experience with ECS orchestration., • Familiarity with PHP/Laravel or JavaScript/React/Vue applications., • Previous experience supporting high-traffic SaaS platforms., • Laravel, Vue, or TailwindCSS experience, • Familiarity with containerized deployments (Docker, ECS, etc.), • Experience working with 3rd-party APIs and async job queues (SQS, Redis), • Knowledge of AI tooling, LLM integration, or computer visionWhy Join Us?, • Meaningful Work: Help shape a platform that impacts thousands of student-athletes’ futures., • Modern Stack: Work with Laravel, Vue, React Native, Python, and AWS, backed by great tooling and infrastructure., • Growth-Oriented Culture: We prioritize learning, experimentation, and continuous improvement., • Competitive salary: $100,000 – $145,000 per year, • Remote-first team culture, • Health, dental, and vision coverage, • 401(k) with company match kxmgntuxQ2

Job DescriptionAbout Pinnacle Pinnacle is a rapidly-growing Seed-stage AI startup revolutionizing how we work. Our flagship product, Pascal, is an AI performance and career coach that brings world-class executive coaching to every employee, anytime, anywhere. Imagine a 24/7 companion who intimately understands your aspirations and team context, and who offers proactive insights to help you uncover blind spots and excel day-to-day. If you've ever had questions about how to navigate a difficult colleague, struggled through a difficult conversation, wished for more feedback, or wondered why work is so hard, Pinnacle is for you! Join us, and help everyone—from top-performing ICs to frontline managers to C-suite executives—unlock their full potential. We're trusted by top startups and unicorns to ensure their teams are performing at the peak of their game. Our Stanford GSB-founded team already has decades of experience in AI & executive coaching, and we're backed by eLab Ventures, Incisive VC, the Sarah Smith Fund, 57blocks, Jolly VC, Embedding VC, People Tech Partners, StartX, Alchemist Accelerator, and top angels. About the Role As a Full-Stack Engineer, you'll be at the intersection of AI and scalable software architecture, building the foundation that powers personalized career coaching at scale. You'll work in a fast-paced, fully remote environment where your code ships quickly and your impact is immediately visible. As an early team member at our venture-backed startup, you'll have the opportunity to shape our core infrastructure, work directly with cutting-edge AI technology, and make decisions that will impact thousands of users. These will be just some of your key responsibilities: • Develop React features for enhanced user experience, • Implement robust backend infrastructure for our AI-powered career coaching chatbot, • Integrate and optimize third-party system connections, • Create and optimize API endpoints for seamless frontend and AI model interactions, • Build performant data processing systems using MongoDB, • Manage Docker deployments across cloud environments, • Ensure high performance, reliability, and low-latency responses in AI-driven interactions, • Required:, • 3-5 years of professional full-stack development experience, • Strong Python programming skills, • Proficient in building scalable applications with Node.js, • Experience with RESTful API design and implementation, • Strong front-end web development using React, • Preferred:, • Advanced React expertise:, • State management with Zustand, • Data fetching using TanStack Query, • Testing implementation with Vitest and Cypress, • Build system optimization with Vite, • Experience with in MongoDB database design and optimization and Firebase authentication for web applications, • Experience with containerization (Docker) and cloud deployment strategies (GCP, Heroku), • Understanding of prompt engineering techniques and agent orchestration, • Message queue system implementation (RabbitMQ/Redis), • Experience with microservices architecture, • A deep passion for the problem space we're operating in., • Worked on small teams (and preferably at small companies or startups) where flexibility > process, • Worked iteratively through product requirements, coalescing the undefined to make it defined, working to make the unknowns known, and adjusting to changes discovered along the way, • Learned that you never have all the answers but know how to ask questions, research, and experiment to find them

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 $155K - $170K 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 📍 Working Arrangement: United States (Remote - work from anywhere in United States) Shape AI That Powers the Future of Financial Access Across Southeast Asia At BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in the US to play a pivotal role in building, scaling, and leading the next generation of intelligent systems. This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team. Why This Role Matters * You’ll design and deploy core AI systems that serve millions across the region * You’ll be the right hand to the Head of AI — driving technical execution and engineering standards * You’ll lead and mentor junior engineers to elevate team performance and capabilities * You’ll play a critical role in hiring and scaling a high-performance AI team What You’ll Do * Design, build, and ship production-grade ML models for high-impact use cases * Lead model architecture, data pipeline design, and deployment strategies * Collaborate across product, engineering, and data teams to drive AI initiatives * Own the end-to-end ML lifecycle — from data prep to deployment and monitoring * Review code, guide projects, and mentor engineers through technical challenges * Champion experimentation, continuous learning, and AI best practices * Interview and evaluate candidates, contributing to technical hiring and team building * Stay ahead of ML advancements — and bring cutting-edge solutions into production You’ll Thrive Here If You... * Lead from the front — you’re hands-on in code, but always lifting others * Think like an owner — you don’t wait for permission to solve a problem * Operate at speed and depth — you make fast, sound decisions that balance trade-offs * Push for clarity — even in chaos, you bring structure, direction, and accountability * Care about what ships — you focus on solving real-world problems, not just academic ones * Grow the team, not just the tech — you enjoy mentoring, coaching, and seeing others win * Adapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidence * Have a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterate * Keep learning — you’re constantly leveling up your technical, product, and leadership game Requirements * Bachelor's or Master’s degree in Computer Science, Engineering, or a related field * Strong proficiency in Python is a must * 4–6 years of experience in AI/ML engineering with real-world deployment experience * Deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring * Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.) * Track record of technical leadership and mentoring engineers * Excellent communication and collaboration skills * Must be based in the US and open to working remotely with regional teams Nice to Have * Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS) * Familiarity with responsible AI practices (fairness, interpretability, model governance) * Startup or scale-up environment experience * Exposure to building internal tools, reusable ML components, or AI platforms What You’ll Get * Competitive salary and performance-based bonuses * Fully remote and flexible work arrangement from anywhere in the US * High ownership role with impact visible at a regional scale * Direct reporting line to Head of AI with exposure to senior leadership * Opportunity to lead and shape a growing AI engineering team * Fast-track career growth and learning opportunities in a high-speed environment * Collaborative, flat culture where ideas move fast and great work gets noticed About BJAK BJAK is Southeast Asia’s largest digital insurance platform, serving millions of users with transparent, affordable financial protection. Headquartered in Malaysia, and active in Thailand, Taiwan, and Japan, we’re building AI-driven systems that make complex financial services accessible, fast, and fair. We believe in technology that moves fast and serves real needs — from personalized pricing engines to smart automation and fraud detection. Join us in reshaping the future of financial access across Asia. If you’re ready to build, lead, and scale AI that matters — and want to grow with a company that thinks big and moves fast — we’d love to hear from you.

Job Description This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit. 9iXYRdTL5O

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: CoreWeave is seeking a passionate and innovative Staff Software Engineer of Network Services to lead the architecture, scaling, and operations of our network services. You'll be tackling the complex challenges of building and operating world-class network services for the most demanding AI workloads on the planet. You will be focusing on achieving the highest levels of service quality, scalability and performance. You will also build comprehensive monitoring and alerting into our network services. You will work closely with your team to execute our network service roadmap, drive innovation, and ensure the reliability, security, and scalability of the CoreWeave Cloud Platform. About the role:Network Service Implementation • Design and implement world class network services for large scale AI workloads, • Optimize east-west and north-south traffic patterns to support AI/ML training, distributed compute, and customer workloads., • Leverage next-generation networking technologies (e.g., smart NICs, software-defined networking, programmable fabrics).Operations & Reliability, • Own the performance and uptime of CoreWeave's network services, including proactive monitoring, incident response, and root cause analysis., • Drive automation across service deployment, provisioning, and management.Security & Compliance, • Partner with InfoSec to implement network security policies, segmentation, and DDoS mitigation strategies., • Ensure compliance with data sovereignty and privacy regulations across network services. Who You Are: Minimum Qualifications • 10+ years of experience engineering and operating network services., • Deep understanding of software defined networking, routing, switching, peering, and distributed network design., • Proven experience scaling data center and cloud networks for high-throughput workloads., • Experience collaborating with open source communities., • Strong knowledge of automation frameworks (e.g., Ansible, Terraform)., • Experience offloading services into smart NICs., • Familiarity with Kubernetes networking, overlay networks, and service meshes. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base pay and target total cash for this position range from $188,000 to $250,000 and $226,000 – $300,000, accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. 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 Senior Data Engineer Location: Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to help reshape how brands communicate—by empowering them to market with precision, not excess. You’ll play a pivotal role in building scalable systems that turn noisy customer data into clear insights for smarter machine learning decisions. It’s a fast-moving, hands-on role with a tight-knit engineering team and real impact from day one. Responsibilities • Architect and maintain robust data pipelines that scale across high-volume sources, • Develop an event taxonomy and normalization layer for clean, consistent data ingestion, • Use tools like Airflow and dbt to manage data workflows and transformation, • Collaborate with data science and ML teams to support model training and deployment, • Design optimized data models for reliable storage and analysis, • Monitor data workflows and troubleshoot issues across the full pipeline, • Implement ETL/ELT processes with a sharp eye for performance and reliability, • Contribute to feature engineering and A/B test infrastructure in big data environments, • Uphold high standards for data quality, security, and governance You Bring • 5+ years in data engineering, working with complex, high-volume systems / significant data. Think Spotify, Wayfair, Shopify, Netflix etc..., • Strong Python and SQL chops, • Experience with asynchronous Python, • Familiarity with DAG tools like Airflow, dbt, or Dagster, • Comfort jumping between reporting layers and infrastructure architecture, • Solid understanding of cloud platforms (AWS, GCP, Azure) and deploying data solutions, • Knowledge of dev-ops best practices and containerized environments, • Strong communication skills—able to translate technical complexity clearly, • Ownership mindset with a bias for building, refining, and shipping production-quality systems The position is fully remote but you must be based in the US. We will pay up to $230k per annum + benefits

Job Description Are you an experienced AI Solutions Architect? Are you looking to build the architecture in which AI and ML services can be deployed for real-world change? Join our AI ML team to drive AI advancements and enhance our products and services. You'll work with experts in AI ML modeling, ML engineering, data science, and data engineering. Key Responsibilities: • AI Architecture Strategy: Develop and implement AI architecture strategies, best practices, and standards., • ML Architecture Design: Design and develop custom AI architectures for batch and stream processing-based AI ML pipelines., • Collaboration: Work closely with data scientists, ML engineers, and software engineers to integrate ML models into production., • Stakeholder Engagement: Collaborate with business and PM stakeholders to align technical milestones with business requirements., • Infrastructure Design: Oversee the design of scalable and reliable AI, ML, GenAI, and LLM model training and deployment infrastructure., • Model Deployment: Lead the deployment of GenAI, LLM, and ML models in production environments., • Monitoring Systems: Design robust monitoring systems for model performance, data quality, and infrastructure., • Security and Compliance: Implement security measures and compliance standards., • Documentation: Maintain comprehensive documentation of AI processes and procedures., • Standards and Best Practices: Ensure adherence to standards, governance, and best practices in AI pipeline and ML model monitoring., • Problem Solving: Troubleshoot complex issues related to ML model deployments and data pipelines., • Thought Leadership: Influence technical strategy and executive-level decisions., • System Scaling: Build and scale production-ready AI systems for long-term business impact., • Presentation Skills: Convey technical concepts to non-technical stakeholders., • Adaptability: Communicate effectively with various audiences, from engineers to executive leadership., • Passion for AI: Stay ahead of AI trends and leverage emerging technologies., • Strategic Thinking: Demonstrate technical and business acumen and problem-solving skills. Experience Required: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 8+ years of experience as an ML engineer, architect, or lead data scientist in Big Data or cloud platforms., • 4+ years of experience in ML architecture design and implementation for large-scale enterprise AI solutions., • Proven success in collaborating with business, product, and PM stakeholders., • Experience with Agile frameworks and delivery methods., • Expertise in designing complex data-driven architectures for distributed computing and orchestration technology., • Proficiency with public cloud platforms (AWS, GCP, Azure) and AI/ML technologies (Databricks, MLflow, Flink)., • Experience with SQL, NoSQL, ElasticSearch, MongoDB, Spark, Python, and PySpark., • Knowledge of DevOps, MLOps principles, and CI/CD pipelines., • Familiarity with trends in LLMs and open-source platforms. This role is hybrid and will require on-site in either NJ or NY office, the role will pay up to $220k per annum + bonus + benefits. If you feel you are suitable then please send your resume

Job DescriptionGTM Engineer (Full-Stack) | naptha.ai About this role Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers. Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment. * Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages * Work directly with the founders on small bet initiatives from idea to shipped product * Integrate our AI technology into real-world use cases and showcase its value to developers * Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels * Implement lightweight analytics to measure outcomes and iterate quickly * Collaborate with backend engineers and product to ensure velocity and alignment * Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks Why Join Us * Shape how our product gets into the hands of developers and how it evolves with them * Work directly with the founding team in a no-red-tape environment * Own projects end-to-end, from idea to implementation to impact * Be one of the first hires in a company built on technical excellence and fast iteration In this role, you’re a good fit if you have: * 3–6 years of experience as a full-stack engineer, ideally in early-stage startups * Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.) * Experience working with APIs, SDKs, or developer tooling is a big plus * Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code * Comfort jumping on calls with users, writing docs, or implementing quick fixes in production * Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools * Bonus: Experience in growth engineering, developer advocacy, or building for developers * Bonus: Experience working in an environment driven by experimentation and iteration About the hiring process * Video interview with hiring manager * Take-home project * Presentation of take-home project to panel * Interview with co-founders Compensation & Benefits * Highly competitive salary and significant equity stake * Role and compensation scaled to your experience * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and conference budget We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you. Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

Job Description 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters * Your work will directly impact user experience, efficiency, and platform intelligence * You’ll contribute to production-grade AI systems that serve millions * You’ll collaborate across functions and build scalable ML tools from the ground up * You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do * Work with product, data, and engineering teams to define ML goals and technical strategies * Design, build, and deploy machine learning models that power personalization, automation, and insight generation * Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment * Build scalable ML infrastructure and deployment pipelines * Integrate ML outputs into user-facing products and backend systems * Stay current with AI/ML trends and apply relevant innovations into our stack * Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... * Take full ownership - you don’t just build models, you make sure they drive real-world results * Are a self-starter who figures things out fast, even when there’s no manual or roadmap * Move with urgency - you adapt quickly, ship fast, and improve even faster * Own problems end-to-end - from messy data to deployment, and everything in between * Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you * Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off * Learn obsessively and share openly - you level up fast and help others do the same Requirements * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field * Strong proficiency in Python is a must * 2 - 4 years of experience in machine learning or backend software development * Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn * Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation * Familiar with model deployment, API development, or real-world ML integration * Experience with tools like Google Colab, Jupyter, and cloud ML platforms * Strong analytical, problem-solving, and communication skills * Must be based in US and open to remote collaboration across time zones Nice to Have * Experience with NLP, computer vision, or recommendation systems * Familiarity with cloud services (e.g., AWS, GCP, Azure) * Exposure to Docker, Git, or CI/CD tools * Background working in a high-growth startup or agile product environment What You’ll Get * Competitive salary and performance-based bonuses * Flexible, fully remote work arrangement from anywhere in the US * Direct impact - your work reaches millions of users across Asia * Flat structure - your voice is heard, your contributions are seen * Opportunities for rapid personal and technical growth * Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

Job Description Downtown Music Holdings (Downtown) is a modern global music company. We help millions of creators, rights holders and their partners to manage their music as a business and get paid fairly for their work. We're working to build a more equitable global music industry because we believe when creators and their partners are fairly compensated, they are empowered to keep creating and investing back in to the world. We service over 50 million music assets from hundreds of countries across six continents, including some of the most well-known songs in popular music. Working with creators at every stage of their career, from emerging songwriters to iconic performers, our business model drives equity across the entire global music industry supply chain. Role Overview As our first dedicated AI Engineer, you'll work at the intersection of software engineering and applied AI. Initially, your focus will be on introducing and integrating AI solutions into our existing engineering systems and processes. Over time, your role will expand into optimizing internal business workflows using AI tools, models, and platforms. We're not tied to a specific tech stack—you should be comfortable evaluating and working across tools and languages as needed. What matters most is your ability to engineer AI-driven solutions in a way that's robust, scalable, and thoughtful. Key Responsibilities: • Design and implement AI-driven features, tools, or systems to enhance existing engineering workflows., • Build robust, scalable prototypes using LLMs, embeddings, or ML models tailored to real-world internal use cases., • Collaborate with product, ops, and engineering teams to identify high-impact areas where AI can streamline or reinvent business processes., • Establish best practices for integrating AI into software systems, including testing, monitoring, versioning, and safety., • Evaluate, test, and recommend AI platforms, frameworks, and APIs that suit our evolving needs., • Stay current with the rapidly changing AI landscape and bring relevant advancements into the organization. Requirements: • Strong software engineering background (e.g., backend systems, APIs, automation, infrastructure)., • Experience working with or integrating AI/ML tools—especially LLMs (like GPT-4, Claude, Mistral, etc.)., • Comfort with tech stack flexibility: you can pick up the right tool for the job, from Python to JS, from LangChain to vector databases., • Product and systems thinking—you understand how to translate abstract business needs into technical implementations., • Ability to work independently and build from zero, with minimal structure., • Excellent communication skills; able to collaborate cross-functionally and explain complex ideas simply. Nice to Have: • Prior experience deploying AI in production environments., • Familiarity with prompt engineering, retrieval-augmented generation (RAG), and orchestration frameworks., • Exposure to business process mapping or reengineering with AI. Why Join Us? • Shape the AI foundation of a growing company from the ground up., • Influence both engineering practices and business transformation., • Work in a fast-moving, collaborative, and innovation-friendly environment., • Future leadership opportunities as we expand the AI function. Note: Downtown Music Publishing offers remote/flexible work (unless specified to be required to be in-person) and open to hiring remote candidates who are residents in the following states: CA, FL, GA, LA, MD, MA, MT, NV, NJ, NY, OK, PA, SC, TN, VA, WI

Job Description About Sherwood Design Engineers Sherwood is a civil and environmental engineering firm that is committed to investing in and embracing people, communities and the environment. Our team has delivered net zero energy and net zero carbon systems, net positive water systems, resilient coastlines, natural resource protection, green streets, living roofs and more for thousands of clients in the region and across the globe. We specialize in sustainable infrastructure, water management strategies, green building design, and systems based solutions for infrastructure and landscapes. Our focus is on the conservation and management of the consumption of all site resources — carbon, energy, water, and waste. We’ve worked on over thirty award-winning projects, and our work has been published locally and internationally. Founded in 2003, our award-winning projects include Hudson Yards in New York (the largest private real estate development in U.S. history), San Francisco Better Streets Plan, Greater New Orleans Urban Water Plan, revitalization of the iconic waterfront Brooklyn Bridge Park, and the 35 square-km Baietan Urban Area Plan in the heart of Guangzhou, China. Our mission is to engineer an environmentally and socially regenerative planet. Will you join us? Role Summary Sherwood is a mid- to senior-level Geometry Specialist to join our dynamic, multidisciplinary computational design team. Ideal candidates will demonstrate deep expertise in at least one of the following focus areas, with the flexibility to contribute across both: Managing Geometric Workflows within Rhino and Revit: This role involves coordinating geometry integrations into Rhino and Revit from various software platforms, including Civil 3D, GIS, and others. Candidates should be skilled in developing and customizing computational workflows that span from model creation to sheet production, including managing geometric attributes and metadata. Computing Complexity: This focus involves translating intricate site design and engineering challenges into clear geometric form-solutions that include landform, ecological materials-based, urban massing, conceptual infrastructural, architectural, etc. Model deliverables often feature complex, wild, and dynamic aesthetics; however, the ability to distill complexity into compelling, idea-rich geometric solutions is highly valued. Rapid iteration and prototyping capabilities of geometric concepts are essential. Minimum Skills • Typically 4+ years of experience, • Bachelor’s degree required in a technical or design-related field. We welcome candidates from either:, • Technical-focused fields (Design Technology, Computational Design, BIM, or related fields) with strong design sensibility and demonstrated interest in computational solutions for wild, fluid, ecological, or dynamic environmental, urban, and infrastructure projects; or, • Design-focused fields (Urban Design, Architecture, Landscape Architecture, or related fields) with demonstrated technical skills in 3D modeling, environmental simulation, and prototyping., • Technical Proficiency in Revit/Dynamo, Rhino/Grasshopper., • Demonstrated experience developing computational workflows and custom solutions to support AEC projects., • Strong attention to detail and proven ability to coordinate effectively across disciplines and project phases. Preferred Skills • Advanced Degree - Masters &/or PhD in a technical or design-related field, • Familiarity or experience with adjacent technologies is highly valued (Environmental simulation: CFD, Ladybug; Geospatial: GIS; Civil Infrastructure: Civil 3D; VFX and Procedural Modeling: Blender, Unity, Houdini; Fabrication: Robotics, Additive Manufacturing, Sensors and Electronics; AI/ML for 3D assets: Gaussian Splatting)., • Computational Prototyping and Visualization: Develop prototypes, models, and visualizations to clearly communicate computational design approaches, supporting informed decision-making and guiding the team's design process., • Cross-Disciplinary Collaboration: Partner with civil engineers, ecologists, urban designers and stakeholders, utilizing computational expertise to ensure clear communication and integrated data workflows, delivering holistic solutions for environmental and urban engineering projects., • Complex Geometry / Model Development: Developed algorithmic models to generate and control highly complex forms (e.g., wild materials, aggregate, rock, complex physics driven or freeform topography), maintaining full parametric control throughout the design lifecycle and translating to meta-data / BIM and construction documentation sheets & bills of materials, as the basis for downstream detailing and fabrication across interdisciplinary teams., • Interoperability & Tool Integration: Developed geometry data exchange workflows across platforms like Rhino-Grasshopper, Revit, and Blender., • Authored scripts: (Python, C#, or GH plugins) to automate repetitive geometry creation tasks and improve cross-software collaboration. Maintain libraries of reusable scripts and components for standardizing complex geometry generation., • Own a part of the firm with ESOP eligibility after one year, • Flexible working - with every other Friday off, • Competitive Health plans, including PPO and HMO options, Dental and Vision plans, • Learning and Development stipend to use as you see fit, • Generous PTO and 8 paid holidays, • Automatic 401k enrollment, • Fun team events, lunches and happy hours to get to know colleagues outside of work, • A tangible opportunity to truly help the environment! Compensation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Sherwood Design Engineers, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $78,000-$181,000. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. We will consider for employment qualified applicants with arrest and conviction records. Powered by JazzHR D5EhOcJlPs

Job DescriptionREMOTE- Sr. Backend Engineer (Python) • Job Title: Sr. Backend Engineer (Python), • Location: REMOTE, • Salary: $150,000 - 200,000 + Equity, • Requirements: Python with FastAPI framework, MongoDB for data storage, Google Cloud Platform, Docker, RESTful API, CI/CD, AI/ML services Position Overview We are seeking a skilled Sr. Backend Engineer with expertise in Python to join our remote team. The ideal candidate will be responsible for designing and implementing robust backend systems, ensuring high performance and responsiveness to requests from the front-end. You will work closely with cross-functional teams to build scalable microservices and maintain our database systems, contributing to our agile development process. We are a new social media app backed by Silicon Valleys biggest VCs. Our app has been downloaded over 1 million times! Key Responsibilities • Design, develop, and maintain backend systems using Python., • Implement RESTful APIs and microservices architecture., • Manage database systems, including SQL and NoSQL databases like MongoDB., • Collaborate with front-end developers to integrate user-facing elements with server-side logic., • Participate in agile development processes, including sprint planning and code reviews., • Utilize Docker and Kubernetes for containerization and orchestration of applications., • Implement version control practices using GIT., • Write and maintain unit tests to ensure code quality., • Establish CI/CD pipelines to automate testing and deployment processes., • Bachelor's degree in Computer Science or a related field., • 5+ years of experience in backend development with Python., • Strong experience with RESTful APIs and microservices., • Proficiency in database management, both SQL and NoSQL (MongoDB preferred)., • Familiarity with Agile methodologies and software development life cycle., • Experience with Docker and Kubernetes for container management., • Solid understanding of version control systems (GIT)., • Proficient in unit testing and CI/CD practices., • Experience with cloud services, particularly Google Cloud and cloud storage solutions., • Competitive salary, • Equity upside, • Individual Health Insurance, • Unlimited PTO, • Exciting start up culture - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 06/12/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

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 Healthcare - Data Engineer Location: Remote Job Type: Full-time/Contract Full-time Salary Range: $110K - $140K Contract Salary Range: $90-$135/hr About Us Phamily is a healthcare technology company focused on making proactive care management simple, scalable, and financially sustainable. Our SaaS platform equips health systems and physician groups with AI-powered virtual care tools to better manage chronic conditions and general patient needs between office visits. By shifting healthcare from reactive, episodic treatment to proactive care management, we've already supported tens of thousands of patients, and we're just getting started. Join us as we continue to revolutionize how care is delivered. Job/Role Description As a Data Engineer at Phamily, you'll own the pipelines and infrastructure that power our AI-driven virtual care platform. You'll build automated data workflows that ingest, standardize, and deliver healthcare data into our product and analytics environment. You'll also support the operationalization of ML/AI tools and keep essential reference datasets accurate and up to date. This role is highly impactful: the pipelines you design will ensure our teams have timely, trusted data to improve patient outcomes and support clinicians at scale. If you're excited about building simple, reliable, and secure data systems in healthcare, this role is for you. Key Responsibilities • Design, build, and automate batch data pipelines that ingest from files, APIs, and SFTP into BigQuery and product environments., • Implement scheduling, monitoring, retries, and backfills to ensure reliable and repeatable workflows., • Establish guardrails such as schema management, versioning, and basic SLAs for data freshness and reliability., • Productionize ML/AI batch jobs and publish outputs into analytics-ready tables., • Maintain and refresh healthcare reference datasets (e.g., NPI, codesets, CMS lists) on schedule., • Document pipelines clearly and make outputs consumable for analytics and BI teams., • 2+ years of experience building batch data workflows using Python and SQL, publishing to cloud data warehouses (BigQuery preferred)., • Proficiency with modern schedulers/orchestrators (e.g., Airflow, Prefect, Dagster) and containerized environments., • Experience ingesting data from APIs, files, and SFTP sources, including schema evolution management., • Strong debugging, monitoring, and CI/CD fundamentals., • Excellent documentation and communication skills with an ownership mindset., • Bonus: Experience with dbt, data quality testing, or healthcare data formats (claims, EHR, CMS datasets)., • Competitive compensation commensurate with experience, • Potential to earn equity based on performance, • Remote-friendly work environment, • Medical, dental, and vision coverage for employees and dependents at a nominal cost, • Paid maternity leave, • FSA and Dependent Care account options, • 401(k) eligibility after 6 months of full-time employment Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

Job Description 📍 Working arrangement: United States (Remote - work from anywhere in the US) Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. This is a remote role based in United States, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Why This Role Matters * Your work will directly impact user experience, efficiency, and platform intelligence * You’ll contribute to production-grade AI systems that serve millions * You’ll collaborate across functions and build scalable ML tools from the ground up * You’ll grow quickly in a lean, high-impact engineering environment What You’ll Do * Work with product, data, and engineering teams to define ML goals and technical strategies * Design, build, and deploy machine learning models that power personalization, automation, and insight generation * Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment * Build scalable ML infrastructure and deployment pipelines * Integrate ML outputs into user-facing products and backend systems * Stay current with AI/ML trends and apply relevant innovations into our stack * Contribute to debugging, testing, and optimization of production ML systems You’ll Thrive Here If You... * Take full ownership - you don’t just build models, you make sure they drive real-world results * Are a self-starter who figures things out fast, even when there’s no manual or roadmap * Move with urgency - you adapt quickly, ship fast, and improve even faster * Own problems end-to-end - from messy data to deployment, and everything in between * Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you * Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off * Learn obsessively and share openly - you level up fast and help others do the same Requirements * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field * Strong proficiency in Python is a must * 2 - 4 years of experience in machine learning or backend software development * Experience using frameworks like TensorFlow, PyTorch, or Scikit-learn * Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation * Familiar with model deployment, API development, or real-world ML integration * Experience with tools like Google Colab, Jupyter, and cloud ML platforms * Strong analytical, problem-solving, and communication skills * Must be based in US and open to remote collaboration across time zones Nice to Have * Experience with NLP, computer vision, or recommendation systems * Familiarity with cloud services (e.g., AWS, GCP, Azure) * Exposure to Docker, Git, or CI/CD tools * Background working in a high-growth startup or agile product environment What You’ll Get * Competitive salary and performance-based bonuses * Flexible, fully remote work arrangement from anywhere in the US * Direct impact - your work reaches millions of users across Asia * Flat structure - your voice is heard, your contributions are seen * Opportunities for rapid personal and technical growth * Regional exposure and collaboration across Southeast Asia About BJAK BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

Job DescriptionSenior Software Engineer (AI Health-Tech SaaS, Remote) Jaan Health's team is growing! We're looking for several experienced Senior Software Engineers to join us on our mission to transform healthcare by powering proactive care at population scale. Who We Are: Jaan Health is a rapidly growing software company focused on leveraging accessible technology and artificial intelligence (AI) to drive better healthcare outcomes for patients while addressing the increasing cost and profitability challenges facing the healthcare industry. Our SaaS platform, Phamily, provides healthcare systems and physicians with an AI-powered virtual care platform that enables them to efficiently and easily manage the chronic conditions and general healthcare needs of their patients between office visits, while also increasing their own reimbursement and financial sustainability in the process. Phamily helps transform healthcare from reactive episodic treatment to proactive care management. We've helped hundreds of thousands of patients since our founding. We need your help to serve even more patients and revolutionize healthcare delivery! What You'll Be Doing: We are looking for several entrepreneurial Senior Software Engineers to join our lean, mean, innovative team of people on a mission to build the best AI-driven smart care management platform on the planet. Who You Are: • Passionate about building products that make a difference, • Takes ownership and thrives in startups or small entrepreneurial teams, • Loves taking features through rapid prototypes, MVP, launch, iterate & scale, • Self-directed quick learner and analytical problem solver, • Clear architectural thinker who writes clean code, • Makes it a habit to refactor and continuously improve codebases, • Perfects every detail, but limits the number of details, • High-signal communicator who asks good questions, • Good collaborator who creates alignment with team members, • Bonus: Interest in healthcare, messaging, or data-centric SaaS products, • Bonus: Understanding of data science, machine learning, AI, NLP & LLMs, • Full lifecycle software engineering experience, • Clean high-quality production code, • Good UX / product design sense, • Javascript, HTML, CSS, • Vue.js / React / SPA (Single Page Apps), • Ruby on Rails / Python / Elixir, • SQL / PostgreSQL / MySQL, • TDD / RSpec / Playwright, • AWS, GCP, Docker, Kubernetes, • Healthcare, SaaS, or startup experience, • Bonus: Data ingestion, HL7 / FHIR integration Remote, New York, Chicago, Atlanta, Seattle Our Compensation & Benefits: • Competitive compensation commensurate with experience, • Potential to earn equity based on performance, • We embrace a remote working environment, • 100% Employer-Paid Medical and Dental coverage for employee and dependent, • Vision coverage for employee and dependent at a nominal cost, • Paid Maternity Leave, • FSA and Dependent Care saving account options, • 401(k)

Job Description AI Product Engineer Full-time · Hybrid · New York About this role We’re seeking exceptional AI Product Engineers who can operate at the intersection of cutting-edge AI technology and real-world business impact. This isn’t about building demos or proofs-of-concept — you’ll own the end-to-end development of production AI systems serving real customers at scale from day one. This role is ideal for builders who thrive in fast-moving environments, can balance technical depth with product sense, and want to see their work deployed into mission-critical use cases across industries. Who you are: Technical Excellence • 5+ years building AI production systems with strong engineering fundamentals., • Comfortable across the stack: infrastructure (Kubernetes, cloud), backend (Python, FastAPI), and frontend (React, TypeScript)., • Hands-on with modern AI/ML frameworks and GenAI deployment patterns., • Proven track record of shipping products at scale. Execution Velocity • Ability to ship fast without sacrificing quality., • Experience in high-growth startups or similarly fast-paced environments., • Comfortable with ambiguity and rapid iteration., • Strong opinions, loosely held — can make decisions with incomplete information. Product & Business Acumen • Intuition for what makes products valuable to users., • Skilled at translating technical complexity into business value., • Experience working with customers and stakeholders directly., • Understanding of enterprise software dynamics is a plus. Mindset & Drive • Deep enthusiasm for AI and AI-first ways of working., • Hunger to build products that matter, not just interesting tech., • Ownership mentality: you don’t wait for specs, you create them., • Intellectual curiosity across industries and technologies., • Thrives in intense, high-performance environments. Compensation & Benefits • Salary: $200K – $250K (based on location, qualifications, experience), • Bonus: 50% cash bonus, • Equity: Competitive, • Visa sponsorship: Available, • Hybrid policy: 3 days/week in NYC with some travel to partner companies

Job Description Job Title: Remote Product Owner & No-Code Automation Engineer Location: Remote Company Overview: MadeTruly is a custom jewelry service for brands and individual designers. We empower our clients to create their product designs, manage their orders, and track production all in one place with our full-feature platform, which also includes services to create and manage new styles. We are passionate about leveraging cutting-edge technology, particularly no-code AI and automation, to streamline our unique design-to-delivery processes, empower our teams, and drive significant business value. We are seeking a driven Remote Product Owner & No-Code Automation Engineer to champion and build these initiatives. Job Summary: We are looking for an experienced and hands-on Remote Product Owner & No-Code Automation Engineer to spearhead the identification, design, development, and implementation of no-code AI-based automation solutions for our internal operational processes, from design intake to final production and order management. Working remotely, you will leverage virtual tools and techniques to deeply understand our day-to-day operations by conducting remote user interviews, analyzing existing process documentation, facilitating virtual workshops with stakeholders, and meticulously assessing pain points. You will then translate these insights into a clear product vision and actionable requirements, and you will be directly responsible for building, testing, and deploying these automation solutions using no-code/low-code AI platforms. Project Focus & Operational Challenges: This role is critical to addressing several key operational bottlenecks and enhancing our service delivery. Your initial focus will be on understanding and automating processes related to: • Dynamic Product Pricing & Quoting: Our custom jewelry pricing can be complex, factoring in fluctuating material costs, design intricacy, manufacturing techniques, and labor estimates. Current methods involve significant manual calculation, leading to potential delays and inconsistencies., • Need for Automation: Develop systems for streamlined quote generation, potentially integrating with material cost feeds and creating rule-based engines., • Proactive Customer Communication (Order Status & Tracking): Managing client expectations and providing timely updates on custom order progress is currently manual and time-intensive., • Need for Automation: Implement automated, event-triggered communication workflows to proactively update clients at key production milestones., • Efficient Product Information Management (PIM): Maintaining accurate and consistent product information across various systems for numerous brands and designers is challenging., • Need for Automation: Develop or integrate solutions for a centralized PIM, automating data synchronization and streamlining new style setup., • Streamlined Billing Follow-ups & Reconciliation: Manual invoice generation, payment tracking, reminders, and reconciliation can lead to oversight and delays., • Remote Operational Process Analysis & Opportunity Identification:, • Conduct thorough remote discovery through virtual interviews, user observation sessions (via screen sharing, video calls), surveys, and documentation review with various departments (e.g., design consultation, order processing, production coordination, client management) to gain a comprehensive understanding of existing operational workflows, pain points, and inefficiencies, particularly within the challenge areas outlined above., • Facilitate remote workshops and process mapping sessions with operational teams and stakeholders to gather requirements and identify automation opportunities., • Analyze and document current-state processes based on remote findings, quantifying potential benefits of automation., • Proactively suggest and champion innovative automation improvements leveraging no-code AI capabilities., • Product Vision & Strategy:, • Define and articulate a clear product vision and strategy for internal no-code AI automation solutions, aligned with MadeTruly's business objectives and focused on resolving the identified operational challenges., • Develop and maintain a product roadmap, prioritizing initiatives based on business value, feasibility, and strategic importance., • Stay abreast of the latest trends and advancements in no-code/low-code AI platforms and automation technologies., • No-Code Solution Design, Development & Implementation:, • Own, manage, and prioritize the product backlog, ensuring it is transparent, well-defined, and aligned with the product vision., • Translate business requirements and user stories gathered remotely into functional no-code automation solutions., • Design, build, test, and deploy robust and scalable automation solutions using no-code/low-code AI platforms to address the challenges in pricing, client communication, PIM, and billing., • Integrate various applications and data sources as required by the automation solutions., • Develop and maintain documentation for implemented solutions., • Facilitate virtual sprint planning, reviews, and retrospectives (if applicable within an Agile framework)., • Stakeholder Management & Communication (Remote):, • Act as the primary point of contact and liaison between operational teams, management, and any technical resources involved in automation, utilizing virtual communication tools effectively., • Effectively communicate product strategy, technical design, progress, risks, and dependencies to stakeholders at all levels through virtual channels., • Champion the adoption of new automated processes, provide remote training, and offer ongoing support for implemented solutions., • Solution Validation, Maintenance & Iteration (Remote):, • Define success metrics and monitor the performance of implemented automation solutions., • Troubleshoot and resolve issues with existing automations remotely., • Gather feedback from end-users and stakeholders through remote channels to drive continuous improvement, iterate on, and enhance existing solutions. Requirements • 3+ years of experience in a role combining product ownership/business analysis with hands-on development/implementation of technology solutions in a remote or distributed team environment., • Proven experience conducting effective remote user interviews, workshops, and process discovery sessions, and a strong ability to gather deep insights from stakeholders in a fully remote setting., • Demonstrable hands-on experience designing, building, and deploying automation solutions using leading no-code/low-code platforms (e.g., Make/Integromat, Zapier, UIPath, Microsoft Power Platform, Airtable, or similar)., • Strong understanding of no-code/low-code development principles and a keen interest in AI/ML concepts and their practical applications in automation., • Excellent virtual communication, collaboration, and presentation skills; comfortable and proficient using various remote work tools (video conferencing, shared digital whiteboards, project management software)., • Experience in process mapping, analysis, and re-engineering based on remote investigations., • Excellent analytical, problem-solving, and critical-thinking skills., • Ability to translate complex business needs into clear, actionable technical requirements and then directly into functional solutions., • Self-starter, highly motivated, disciplined, and able to work independently with minimal supervision in a remote environment. Preferred Qualifications & Skills: • Experience in e-commerce, custom manufacturing/production, supply chain management, or creative/design-driven industries, particularly with exposure to pricing, PIM, or customer service automation., • Familiarity with API integrations, data manipulation, and basic scripting concepts (even if not directly coding)., • Understanding of workflows related to custom product design, order management, and production tracking. Benefits What We Offer: • Competitive salary and performance-based bonus., • Opportunities for professional development and learning., • A collaborative, innovative, and flexible remote work environment where your contributions directly impact the business and our ability to serve designers and brands., • The unique opportunity to not just envision, but also build and shape the future of automation within a creative and growing custom jewelry service platform, tackling tangible business challenges from day one.

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do The Internal Developer Platforms Team's mission is to accelerate engineering velocity across the company by delivering world-class internal tooling, environments, and AI-enhanced workflows. This team focuses on developing and supporting robust, scalable environments for developers, including local, testing, and ephemeral setups. Members of this team will drive adoption of AI-driven tools designed to minimize obstacles and maximize developer productivity and innovation. As an engineer on the team, you'll focus on building platforms that streamline development workflows, enable scalable and reliable environments, and integrate AI-powered tools to elevate engineering productivity across the organization. In this role, you will • Design, build, and maintain internal developer platforms that power local development, automated testing, and ephemeral environments., • Develop and integrate AI-powered tools (e.g., code generation, test automation, intelligent code reviews) to enhance developer workflows., • Collaborate with infrastructure, developer productivity, and security teams to ensure smooth CI/CD, environment provisioning, and compliance., • Own the lifecycle of environment tooling — from developer onboarding to production mirroring., • Monitor usage, collect feedback, and continuously improve the developer experience across the organization. Who You Are Minimum Qualifications • 4+ years of experience in a software or infrastructure engineering industry, • You have experience operating services in production and at scale., • You're comfortable with the idea of using Go as your primary programming language., • Experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes)., • Experience building scalable development/test environments, and have worked with ephemeral environments or preview deployments., • Are familiar or interested in AI/ML-powered developer tools (e.g., code suggestion, IDE tooling)., • Experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations) 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 Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: As a Senior Software Engineer at Moxxi, you'll play a critical role in building the platforms and tools that power our performance marketing engine. From designing intuitive interfaces in our CMS and CRM to scaling backend systems for real time ad delivery and A -driven optimizations, you'll operate across the stack to bring ideas to life. You'll be hands-on with data, APIs, UI components, and machine learning integrations collaborating closely with cross functional teams to solve meaningful business problems through code. If you're passionate about performance, experimentation, and building high impact products in a fast paced environment, this role is for you. Responsibilities • Architect, develop, and maintain scalable and resilient backend systems powering our CMS, AdServer, CMS, CRM, and optimization pipelines., • Build reusable UI components and responsive interfaces that allow marketers to manage, launch, and analyze campaigns with ease., • Build high performance APIs and services that integrate with internal platforms and external ad ecosystems., • Partner with the Account Managers and Operations team to productionize models that drive ad personalization, budget pacing, and bid optimization., • Design and evolve real time and batch data pipelines that support campaign analytics, attribution, and experimentation at scale., • Lead cross functional collaboration with product, design, and business teams to translate requirements into robust software solutions., • Ensure system observability, operational excellence, and uptime across critical infrastructure components., • Mentor junior engineers and contribute to a culture of clean, maintainable, and well-documented code., • Drive technical planning and contribute to the evolution of our platform strategy and long-term architectural vision., • Stay up to date with industry trends in advertising technology, distributed systems, and machine learning and bring relevant innovations into the team., • Take ownership of major initiatives and continuously identify opportunities to improve performance, scalability, and developer experience.Basic Qualifications, • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience., • 7+ years of professional experience building and maintaining production-grade software systems, including significant experience in full-stack development., • Deep experience writing scalable backend services in Go, ideally within microservice-based architectures., • Proficiency in TypeScript, with experience in frontend frameworks such as React or Angular, and building APIs or server-side logic with TypeScript (e.g., Node.js)., • Experience designing and integrating RESTful APIs and working with distributed systems., • Familiarity with cloud-native development using Google Cloud Platform (GCP) services, particularly BigQuery and Cloud Run., • Understanding of software engineering fundamentals including system design, data structures, and algorithms., • Strong attention to detail, debugging, and performance optimization skills across the stack., • Excellent communication and collaboration skills; able to work effectively with cross-functional teams, including product, data, and design., • A self-starter mindset with a passion for shipping features, solving real-world business problems, and continuously improving engineering practices.Nice to Have / Bonus Qualifications, • Master's degree in Computer Science, Engineering, or a related technical field., • Experience in the AdTech industry, especially with ad serving, real-time bidding systems, or content management platforms (CMS), • Familiarity with Ads infrastructure standards, • Hands-on experience with data streaming technologies like Apache Kafka, Pub/Sub, or Kinesis., • Knowledge of infrastructure as code tools like Terraform and container orchestration systems like Docker and Kubernetes., • Exposure to non-relational databases (e.g., BigTable, DynamoDB) and caching systems such as Redis or Memcached., • Prior work on cost optimization, performance tuning, or infrastructure efficiency at scale., • Familiarity with AI/ML-powered ad optimizations, A/B testing frameworks, or campaign experimentation systems., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $175,000 - $225,000 + equity Salary Range$175,000—$225,000 USD

Job Description Who We Are: Ordergroove is a dynamic, fast-paced environment where you will be involved in building something of real value from the ground-up. We're looking for bright, talented people who are excited about innovation, growth, and the exciting world of Relationship Commerce. If you're motivated by a desire to solve problems and deliver groundbreaking insights and solutions you'll fit in perfectly! About the Role: We're seeking a pioneering Analytics Engineer to join our growing data team. This is an opportunity to be an early, foundational team member, playing a critical role in defining how analytics engineering is done at Ordergroove. You'll have the freedom to establish best practices, and influence the direction of analytics across the organization. You'll design and optimize data models, build robust data pipelines, and ensure high-quality, accessible data for stakeholders across the company. If you love working with SQL, dbt, and Python, and thrive in a collaborative, fast-paced environment, we'd love to hear from you. What You Will Do: • Design, develop, and maintain core data models in dbt and SQL, ensuring consistency, accuracy, performance, and appropriate levels of normalization to meet business and technical needs., • Build and maintain data pipelines to ingest, transform, and serve data efficiently, leveraging tools like dbt and Airflow., • Collaborate with engineers, product managers, business stake holders to define key business metrics and ensure seamless data access., • Enable self-service analytics by creating clear documentation and supporting teams in using data effectively., • Ensure data quality and reliability by implementing monitoring systems and designing processes that maintain long-term data integrity., • Advanced SQL & Data Modeling: Strong experience in designing, building, and optimizing SQL-based data models, with an understanding of normalization trade-offs., • Data Pipeline Development: Hands-on experience with dbt and modern ETL/ELT frameworks, following best practices like version control and CI/CD., • Python & Data Engineering: Proficiency in Python for data transformations, workflow orchestration (Airflow), and automation., • Data Warehouse Design: Experience designing and optimizing a data warehouse in BigQuery, including structuring datasets, partitioning, clustering, and optimizations to manage performance at scale., • Data Quality & Governance: Experience implementing monitoring systems, ensuring data consistency, and maintaining high-quality data.Soft Skills & Mindset:, • Strong Communicator: Able to translate technical concepts for non-technical stakeholders, collaborate with engineers, and present insights effectively., • Proactive & Self-Driven: Comfortable working alone, driving projects, and building relationships across teams., • Impact-Oriented: Focused on delivering high-value solutions that empower stakeholders and improve business outcomes.Nice to Have:, • Interest in Data Science and Machine Learning, while this is not a pure data science role, familiarity with ML concepts and their applications in analytics will be a plus., • Knowledge of statistical analysis and experience applying it in real-world data problems., • Familiarity with Django or API, which can be valuable when building internal data tools or collaborating closely with backend engineering teams on data-related features.What Success Looks Like:, • Teams across Ordergroove consistently rate their data access as excellent, with clear documentation that enables confident decision-making., • The data models you build answer critical business questions with accuracy, consistency, and performance. If you don't meet 100% of the qualifications outlined above - that's okay, nobody's perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including L'Oreal, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range for this role is between $120,000 and $140,000 plus equity.