Engineering jobs in East Elmhurst, NY - Page 19Create job alerts

Strong experience deploying and maintaining AI models and data pipelines in cloud environments (e. Build and maintain scalable, production-grade AI pipelines that support the integration and automation of machine learning models into live systems. As an AI Engineer at Nagish, you will focus on desig

About Us Resonance is a technology company building a more sustainable and valuable fashion industry for designers, brands, manufacturers, consumers, and the planet. The company’s AI-powered operating system ONE enables brands to design, sell, and make in that order, empowering designers to operate with no unnecessary inventory and eliminating the financial and environmental burdens of the legacy fashion industry. Resonance ONE is our software that powers any apparel company. Resonance ONE uses an emergent behavior model that redefines how garments are designed, sold and made with an “I know nothing” mindset that is constantly learning from our users. Resonance ONE includes the following: • An apparel brand or creator’s digital operating system to launch and run their brand’s business., • An AI Agentic framework, Contracts, and APIs for functions that span the end-to-end creation-to-closet functionality, including everything from 3D volumetric design and collection creation to payments to orders to inventory management and some non-standard processes that are specific to Resonance workflows Headquartered in New York City and Santiago, Dominican Republic, Resonance has partnered with more than 30 brands, including THE KIT and Rebecca Minkoff, to create garments that use 97% less dye, 70% less water, and 50% less material than any other fashion brand—and immediately eliminate overproduction. Want to know more? Visit our website and read articles about us. About the role As a Senior AI Engineer at Resonance, you will be deploying cutting-edge AI solutions for both internal processes and client facing products. This role focuses on pushing the boundaries of what is possible with AI to help revolutionize the Fashion industry and deliver real value. You will be responsible for applying the state of the art while being extremely value focused. You will develop practical AI solutions, including applications of Machine Learning Models and Large Language Models initially focusing on Retrieval AugmentedGeneration (RAG). You will contribute in the design and implementation of these AI-driven systems, working closely with a multidisciplinary team of engineers and domain experts as well as different teams within Resonance. This role is ideal for engineers that are passionate about applying technology to create meaningful and impactful solutions while also recognizing that delivering value and delighting customers trumps all else. Responsibilities • Own the design, development, and deployment of software solutions that build innovative AI tools and models, • Build and maintain the data curation pipelines to feed machine learning models, • Collaborate with cross-functional teams, including product managers and domain experts, to discover, build, and iterate on innovative features and products., • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives, • Master’s degree or higher in Computer Science, Engineering, AI, or Machine Learning or a related field, or equivalent experience., • Minimum of 7 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting., • Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, agent and RAG frameworks)., • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences., • Hands on experience with AI technologies, particularly in LLM-RAG and machine learning., • Comfortable in cloud environments (e.g., AWS, Azure, GCP) and the full end-to-end process of modern cloud-native software deployment (e.g., Kubernetes, GitOps), • We offer full benefits (medical, dental, and vision), a competitive salary and equity., • Resonance Companies is an equal opportunity employer and values diversity in our company. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business needs.

Our Machine Learning Engineering Internship is designed to give you a real sense of what it’s like to work at Jane Street full-time as a Machine Learning Engineer. Over the course of your program, you will explore ways to approach and solve cutting-edge ML problems through fun and challenging classes, interactive sessions, and group discussions—and then you will have the chance to put those lessons to practical use. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. You will be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. When you’re not working on your project, you will have plenty of time to enjoy our office amenities, explore our physical and virtual educational resources, attend guest speakers and social events, and engage with the parts of our work that excite you the most. If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you’ll fit right in. Learn more about Jane Street’s ___here. Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning ___. During the program, you’ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we’re still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our ___ Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills. We don’t expect you to have a background in finance—we’re more interested in how you think and learn than what you currently know. You should be: • An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow, • A top-notch programmer with a love for technology, • Intellectually curious, collaborative, and eager to learn, • Humble and unafraid to ask questions and admit mistakes If you're a recruiting agency and want to partner with us, please reach out to .

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. In this role, you will lead engineering operations to ensure timely delivery of high-quality projects. You’ll be responsible for organizing and optimizing the team’s workflow using agile methodologies, including sprint planning, daily stand-ups, and regular feedback sessions. You’ll collaborate closely with the Director of Strategy and Systems to align on product goals, user needs, and system architecture. In addition, you’ll coordinate with two adjacent teams to set cross-functional priorities, track progress, and drive product value. As a team leader, you’ll oversee resource planning to ensure efficient execution and delivery. You’ll also have the opportunity to mentor and manage a talented group of engineers, fostering a culture of innovation, accountability, and continuous improvement. Responsibilities include, but not limited to: • Overseeing day-to-day engineering operations, ensuring teams meet deadlines and deliver high-quality work., • Manage and facilitate an Agile process, including participating in sprint planning, daily stand-ups, retrospectives, and backlog grooming., • You will collaborate closely with the Director of Strategy and Systems to understand product and feature requirements and user needs., • Manage resource allocation and facilitate timely feature delivery., • Collaborate with our Principal AI/ML Engineer to refine product priorities, track progress, and weigh trade-offs., • You will coordinate with a parallel team acting as an internal customer, • Bachelor’s in Computer Science, Engineering, Mathematics, or a related field., • 10+ years of relevant industry experience in a fast paced, high growth tech environment., • Experience with Agile methodologies, with a track record of implementing and refining processes that drive team efficiency and effectiveness., • Ability to work backwards from the big picture to deliver incremental milestones without getting bogged down in bureaucracy., • Experience coordinating across multiple teams, including aligning teams’ goals with a collaborative, team-oriented approach., • A demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices and skills., • Master’s Degree in Computer Science, Engineering, Mathematics, or a related field., • Strong background in Software Engineering, with experience in managing technical teams and delivering complex projects., • Organizational and leadership skills, with the ability to motivate and guide a diverse team, • Exceptional written and verbal communication skills to collaborate effectively across teams and present technical concepts to non-technical stakeholders, • An intuition and enthusiasm for launching groundbreaking, deep-tech products., • Experience with modern C++ will allow you to better interface with other portions of our data ingestion and product pipeline., • Experience in the fields of computer graphics, computer vision, or visual computing, with a strong understanding of core concepts, algorithms, and tools used to create, analyze, and manipulate visual data. We are accepting applications for this position on an ongoing basis. #remote As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing ___. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role As a Customer AI Engineer at Writer, you'll play a critical role in developing and building complex prompts, applications, and agents to support our most important customers. You'll work closely with our Customer Success team both to determine how best to take the input data we receive from our customers and use it to produce first-rate content using our proprietary Palmyra family of models. You'll also ensure customer content aligns with their style and formatting requirements. Your expertise in Python, dataset curation, prompt design, and linguistics will be crucial to growing and maintaining Writer’s relationships with its customers. You'll initially report to our VP of Technical Delivery. 🦸🏻‍♀️ Your responsibilities: * Base Prompt Design and Iteration: Create and optimize base prompts that will be used to supercharge our customers’ content creation pipelines. * Linguistic Expertise: Utilize your understanding of linguistics to craft search patterns used to enforce customer formatting guidelines in their content. * Prompt Chain Design: Collaborate with the team to design, develop, and evaluate prompt chains for specific content creation tasks. * Technical scoping: Work with stakeholders in Customer Success and with our customers to scope projects and define best practices for using what you create. * Documentation: Maintain clear and comprehensive documentation of prompt engineering processes and outcomes and share innovative techniques with the team * Cross-functional Collaboration: Collaborate with engineering team members to integrate your prompt engineering work seamlessly into our product. ⭐️ Is this you? * Bachelor's degree or higher in Computer Science, Linguistics, or a related field * Solid coding proficiency using Python. * Professional experience in prompt design and a deep understanding of linguistic principles. * Expertise working with search patterns for morphology and word patterns. * Proven experience in designing, developing, and evaluating base prompts. * Knowledge of natural language processing and machine learning concepts is a plus. * Excellent communication and collaboration skills. * Problem-solving mindset and a passion for working on complex challenges. * Attention to detail and the ability to work independently and as part of a team. * #LI-Hybrid Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks (US Full-time employees) * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We're assembling an exceptional team of AI engineers in NYC. It’s about working al

Dorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry. We’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack—from data pipelines and model training to inference infrastructure and product integration. This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales. What We’re Looking For Must-Haves • 5–10 years of experience in software or ML engineering, • Experience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.), • Strong programming skills in Python and SQL and a good understanding of best practices in software and data engineering, • Familiarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment Nice-to-Haves • Experience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems, • Understanding of retrieval systems, embeddings, or vector search, • Experience in luxury, hospitality, or marketplace products, • Familiarity with feature stores, and observability tools, • Startup mindset: high agency, comfort with ambiguity, bias to ship Tech Stack Snapshot • Languages: Python, TypeScript, PHP, • Modeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain, • Data: dbt, PostgreSQL, Redis, Airflow, Metabase, • Infra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions Compensation & Benefits: • Salary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees, • Flexible PTO, • Medical, dental, and vision insurance, • FSA, • Commuter benefits, • Free membership to One Medical, • Teladoc, • Talkspace, • Kindbody, • 401(k), • In-office lunch 3 days a week, • Employee Dining Credits Compensation commensurate with experience. Compensation: New York Pay Range$100,000—$200,000 USD Our Core Values Lead with hospitality. We respect the craft and precision that are intrinsic to the hospitality industry. We are a team diverse in background and thought, built to be the connective tissue between artists, chefs, diners, and members. Mise en place. We are persistent in preparation, prioritization, and focus to anticipate our customers’ needs to create a powerful platform rooted in simplicity and elegance. And we know that details matter, which is why superior design is crucial to our brand ethos. Thoughtful design is baked into everything we do—our product, brand, creative, culture, and beyond. Go around the table—then commit. We know creativity takes feedback and iteration, and differing opinions can lead to healthy debate. While we encourage all voices to speak up and be heard, we are geared toward action and unify around the decision once it's made. Sometimes an individual idea or project may not be what’s best for the company, so don’t be afraid to kill your darlings. Our product is our signature dish. We are a product and marketing-led organization. Protecting our brand and vision needs to be top-of-mind with every move we make. Optimize turn times. We are creating beautifully-designed, tech-forward solutions to automate all sides of our business: for members, restaurants, and employees. And we’re laying a data-rich foundation to enable all stakeholders to make better decisions and enjoy the finer things in life. Savor it. We eat slowly and celebrate the wins we share with those around the table. We’re in this for the long-haul, so enjoy the ride. Stay hungry. We can change the world or someone else will. We believe in a sense of urgency to keep pushing toward our goals. And there’s always room for dessert, because there’s always more to do.

Medal enables millions of gamers to capture and share their best gaming moments and create memories together.Medal's 1M+ daily active users create 3M+ videos per day on our desktop and mobile applications.Your work will have a real impact on millions of people around the world!.This role will be res

Cloud Services Expertise: Azure OpenAI, Document Intelligence, AI Search, Cosmos DB, App service, Managed Identities, Customer Managed Keys, Azure IaaS and PaaS solutions, Copilot Studio. Establish the Azure OpenAI service in Microsoft Azure with an architecture tailored to support business teams. S

We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. Slingshot AI is the team behind Ash, the first AI

We are seeking a talented Machine Learning Engineer to drive our efforts in leveraging advanced Large Language Models (LLMs) within Cantina Code. Deploy and manage machine learning models and services on AWS. Collaborate with security researchers to turn novel attack patterns into detection heuristi

Hypha is an AI-native platform transforming asset management across the full lifecycle—acquisition, management, and exit. Focused on healthcare facilities and multifamily real estate, we're revolutionizing the industry through three key pillars: * Observability: Providing real-time visibility into asset performance, deal progress, and market conditions for all stakeholders * Intelligence: Enabling AI-driven multidimensional optimization with risk scores, tax strategies, and benchmarking * Orchestration: Creating seamless workflows and a single source of truth to eliminate inefficiencies We're looking for Software Engineers to help build Hypha In this role you’ll build cutting-edge AI agents and work closely with our leadership team, product manager and designer to help translate customer needs and product requirements into software. Some of the challenging engineering problems we’re working on include: * Extracting structured data from unstructured at large scale and accuracy * Agentic information retrieval over both structured and unstructured data * Synthesizing structured and unstructured data into actionable business insights * Fullstack Typescript * React * Next.JS + Vercel * PostgreSQL Must have * 3+ years of experience in software engineering * TypeScript experience * A proven track record of delivering mid to large impact features as the sole or lead developer * Self-starter mentality with the ability to work in a fast-paced environment that values speed and iteration * Comfortable with ambiguity—must be able to take vague requirements and clarify them to deliver the right intersection of quality and speed * Strong communication skills including the ability to work well with non technical team members Must have EITHER (or both!) * Strong React & frontend development skills * Experience building AI agents and/or working with LLM APIs * Lifelong Learner: Constantly improving their craft and trying new technologies * Strategic Thinker: Able to think beyond engineering and understand how features fit into the broader product, customer experience and business * Exceptional Communicator: Skilled at communicating complex technical topics to non-technical team members * Continuous Improvement: Constantly looks for opportunities to improve our engineering practices * Force Multiplier: Makes other team members perform better * Culture Fit: Thrives in an environment that values urgency, excellence, and moving "at the speed of light” * Be at the cutting edge of applied AI * Have a large scope and massive impact on the company * Work directly with the leadership team * Strong career growth opportunities as we scale * Competitive compensation package: $175-$220k base salary plus bonus and equity If you're ready to help build the future of asset management and are excited by the challenge of bringing AI-driven solutions to complex financial workflows, we want to hear from you. Please note: We are proud to be an equal opportunity employer, and we are committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex, age, national origin, citizenship status, disability, marital status, partnership status, sexual orientation, gender identity and expression, military or veteran status, or any other characteristic protected by federal, state or local law.

Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI Finetuning Engineer

Build scalable machine learning models for claim time series forecasting and NLP text understanding. You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.

We are looking for an experienced Senior Machine Learning Engineer to design, build, and deploy robust and scalable machine learning models and systems in a production environment. Minimum 6 years of experience in machine learning engineering or a similar role with a strong focus on ML system develo

Partner with engineering to instrument events, maintain data pipelines, and uphold high data quality and observability. Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. As an AI/ML Engineer, you will design, build, and ship larg

Extend is building a modern document processing cloud. We're on a mission to transform how the world works with unstructured data. As a Machine Learning Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure. The work you do will impact every single customer across the millions of documents that our system ingests and processes every month. We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems with AI. * We've grown revenue 15x last year to several million ARR, with our growth continuing to accelerate * We have a product loved by users and being used in mission-critical flows at enterprises (Square, Zillow, Chime) and startups (Brex, Mercury, Checkr), and many more * The market for document processing has expanded 1000x due to LLMs, and all existing solutions are low NPS * We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact * We've raised our series A & de-risked the business, but there's tremendous upside ahead; now's the perfect time to join. * You'll be joining a talent dense team (e.g. former founders, world record holders) operating in a high performance culture, in-person in NYC, with high equity ownership * We're tackling novel, unsolved problems at the intersection of LLMs, complex data processing, and human ↔ AI interfaces * You'll get a front row seat to how a successful startup is built with plenty of leadership opportunities as we grow quickly We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our team and execute on an ambitious roadmap. * Training and deploying SOTA vision models for document processing * Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to * Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues * Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers. * Work directly with the CEO, CTO, and other founding members and help build out our team.

Coders Connect are working with a high-growth audio AI company solving real-world challenges with cutting-edge ML and DSP. Their elite clients include top-tier AI labs and FAANG companies - and now they’re expanding their ML team. We’re hiring a Machine Learning Engineer who thrives on building production-grade ML systems, pipelines, and inference infrastructure. You’ll collaborate across product and data operations to deploy scalable solutions that transform audio into insight. What You’ll Be Doing • Design and implement advanced ML and DSP models for speech/audio, • Build robust inference pipelines and APIs, • Work cross-functionally to improve dataset quality and model performance, • Own the ML roadmap and influence strategic direction What You Bring • BSc degree in ML, data science, or engineering, • Strong applied ML experience (audio or signal processing ideal), • Proven track record of deploying ML models in production, • Python + PyTorch expertise; cloud experience (AWS/GCP) Ideal For: Candidates who can translate ML research into real-world impact - especially in fast-moving, high-growth

Collaborate closely with Engineering, Marketing, Product Management, and Executive Leadership to align product vision with business goals. Influence the materials strategy, CMF decisions, and production approaches in partnership with Engineering and Manufacturing teams. Strong knowledge of DFM/DFA p

About Moloco: Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad targeting using data, that same robust performance powered by machine learning has previously been unavailable beyond their platforms. That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while enabling companies to stay independent and scale. An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ___ of the Inc. 5000 fastest-growing private companies for 2023. We were recognized as one of 46 leading Cloud Computing companies, receiving the ___. That same year, we also received ___, given to companies implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified ___! Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv, and Tokyo. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to carry out our mission, to empower businesses of all sizes to grow through operational machine learning. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! About the role Moloco is an engineering company founded by software engineers, and machine learning is the core of Moloco's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers as seen here (). Check out our case study published by Google What You Will Do • Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems., • Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable., • Develop highly scalable model servers on cloud platforms., • Work with product, account, and infrastructure engineering teams to define future product roadmaps. Basic Qualifications • MS or Ph.D. degree in Computer Science or related technical field, • 7+ years of software development experiences in Machine Learning, Deep Learning related areas, • Fluent with one or more programming languages including Python, Java, and Golang., • Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems. Preferred Qualifications • Relevant experience in AdTech (We truly encourage you to apply even if you don’t have these) • MS or Ph.D. degree in Computer Science or related technical field Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range: $232,000 - $348,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success., • Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible., • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value., • Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our ___.

Senior / Staff / Principal Machine Learning Engineer. Collaborating with software engineers to integrate ML models into production systems. Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.

Office Location: Lower Manhattan, NY - Hybrid About Accrete: Accrete AI is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology. At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency Overview: We are seeking a skilled mid-level Machine Learning Engineer to join our team. In this role, you will have the opportunity to work on exciting projects that leverage machine learning techniques to build intelligent applications. You will collaborate with a team of talented engineers, researchers and data scientists, contributing to the development of AI solutions that deliver significant value to our clients. Responsibilities: • Work closely with machine learning researchers to facilitate the productionization of large-scale and cutting-edge artifacts (examples: machine learning models, scripts for fine tuning and testing models, etc.), the duties of which can include scaling up modeling/algorithm code and architecting systems that will be deploying the artifacts, • Work with large datasets to preprocess, clean, and prepare the data for training/inference, • Design, implement and optimize processing pipelines for scalability and efficiency, • Architect systems to facilitate research experimentation and artifact evaluation, • Collaborate with cross-functional teams to understand project requirements and deliver solutions, • Participate in code reviews, testing, and documentation to ensure high-quality deliverables, • Assist in mentoring and guiding early-career engineers, sharing best practices and fostering a culture of continuous learning Accrete values diverse experiences and we encourage applicants to apply even if you don’t meet all of the following criteria. While having all of the qualifications listed below can certainly make you a strong candidate, we acknowledge that great candidates aren’t defined simply by a list of skills. If you think you have other experiences that would make you a good match for this role, please apply! • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field, • 3-5 years of professional experience in machine learning, MLOps or related fields, • Working knowledge of machine learning concepts, algorithms, and techniques, • Expert in software engineering principles and software development methodologies, • Proficiency in Python, • Experience with latest MLOps tools and machine learning frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn), • Demonstrated ability to preprocess, analyze, and visualize large datasets, • Experience with cloud platforms (e.g. AWS, GCP, Azure), related compute and storage systems, and with deploying machine learning models, • Knowledge of software development best practices, including version control and agile methodologies, • Experience with containerization and orchestration tools (e.g. Docker, Kubernetes, etc.), • Strong problem-solving skills, attention to detail, and the ability to work both independently and as part of a team, • Experience with deep learning architectures and natural language processing, • Understanding of reinforcement learning and other advanced machine learning techniques, • Experience deploying LLM-based applications Benefits: • Comprehensive, competitive benefits: health, dental, vision, prescription, long- and short-term disability and life insurance, and a 401(k) (Traditional & Roth), • Flexible PTO & all U.S. federal holidays off, • Daily catered lunch and a kitchen stocked with snacks and beverages

About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. Architect and develop scalable, production-grade Machine Learning (ML) models and services. Take ownership of end-to-end development from data collection and model training to deployment and monitoring. Work closely with cross-functional teams, including product managers, data engineers, and software engineers, to define ML requirements and implement solutions that meet business objectives. Conduct advanced machine learning research to evaluate new algorithms, frameworks, and tools. Stay ahead of industry trends and bring innovative solutions to the team, contributing to the evolution of AI and ML capabilities within the company. Develop and implement methods for evaluating and optimizing the performance of ML models, ensuring robustness, scalability, and efficiency in real-world applications. Partner with leadership and product teams to influence the product roadmap and integrate AI-driven features into products, ensuring they align with the company’s strategic vision. Work on complex, ambiguous technical challenges and apply your expertise in ML techniques to craft innovative solutions that address both short-term needs and long-term scalability. Create systems to monitor the performance of ML models in production, and lead efforts to troubleshoot and resolve issues as they arise. Provide mentorship to junior and mid-level engineers, offering technical guidance and fostering a culture of knowledge-sharing. Lead code reviews and help establish best practices in ML development and deployment. Telecommuting may be permitted. When not telecommuting, must report to 199 Lafayette St, Ste 3B, New York, NY ___: $169,541 - $192,216 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 5 years of professional experienceas aData Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept a Master’s degree or U.S. equivalent in Data Science, Software Engineering, Electrical Engineering, or a related field, plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, or any occupation/position/job title performing software engineering using Python and SQL Must also have experience in the following: 2 years of professional experience utilizing Machine Learning to analyze data; 2 years of professional experience using Machine Learning models, Machine Learning problem framing and best practices, and Natural Language Processing; 2 years of professional experience working with cutting edge AI, including Large Learning Models; 2 years of professional experience conducting ML-driven research to help influence product roadmaps; 2 years of professional experience building personalized recommendation systems utilizing computer vision, natural language processing, or ranking; 2 years of professional experience utilizing machine learning libraries and deep libraries (including scitkit-learn, numpy, pandas, scipy, TensorFlow, SQL, Hive, or Spark) to access and analyze data; 2 years of professional experience innovating and improving upon algorithms and methodologies in search and personalization. Please send your resume to: . Please specify as code RODCWhy Join Quizlet? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.

OXMAN is seeking a Research Engineer with expertise in Deep Reinforcement Learning, Deep Generative Modeling, and Data-Driven Design Optimization to join our interdisciplinary team. Demonstrated ability to work in cross-functional teams, bridging machine learning research with ecology, architecture,

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML deployed at scale in support of a broad range of use cases driving value in media and catalog understanding. Here are some examples of the work you may support: Audio fingerprinting to understand what music is played in podcasts enabling musicians to get royalties, Video and image tagging to understand what is happening in any video on Spotify for moderation and recommendations, Audiobook Author attribution using graph ML approaches for search and recommendations, Categorizing tracks in the catalog to know which are functional content or music tracks leveraged in royalty calculations and in search and recommendations. Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry. We are looking for a Machine Learning Engineer to help us define and build Spotify’s capabilities in this area. Our team expands the state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog. \n What You'll Do • Build production systems that enrich and improve our listeners’ experience on the platform, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development, • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users, • Help drive optimization, testing, and tooling to improve quality, • Perform data analysis to establish baselines and inform product decisions, • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features Who You Are • You have professional experience in applied machine learning, • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)., • You have some hands-on experience implementing or prototyping machine learning systems at scale, • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark., • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You have experience and passion for fostering collaborative teams, • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus, • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus Where You'll Be • For this role you should be based in New York City (USA). \n$136.88 - $195.54 a year \n The United States base range for this position is $136,878 - $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is looking for a Staff ML Engineer to join the Native Ads product area in the Music Mission. In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with fans. You will play a crucial role in shaping the future of Native Ads products, technology and business, and represent Native Ads in the continuously evolving Coordinated Promotions ecosystem by collaborating with key partners in PZN and Ads. As the Staff Machine Learning Engineer for this team, you will work with a cross-functional team to define and execute a Machine Learning technical strategy for the product area. Working with a team of Engineering Managers, Staff and Senior Staff Engineers, along with a team of engineers and partners in PZN, you will shape and drive initiatives that tackle complex problems surrounding campaign forecasting, serving observability and targeting optimization with the goal to improve overall supply and campaign performance. You will build ML-driven solutions to bring promotional music experiences to our 350+ million active users on behalf of millions of artists, using a diverse range of datasets including user behaviors, contextual data, and other signals across our broad range of mobile and connected platforms. Above all, your work will impact the way the world experiences music and the way creators connect to their fans! • Lead the creation of a Machine Learning Engineering Strategy for Native Ads, • Contribute to designing, building, evaluating, shipping, and refining Native Ads products via hands-on ML development, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans., • Prototype new approaches and productionize solutions for Spotify For Artists customers, • Help drive optimization, testing, and tooling to improve quality., • Work closely with Personalization and Music Tech Research teams to ideate and innovate on Music Promotion Tools, • You have a strong background in machine learning, with experience and expertise in machine learning algorithms., • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages., • You have experience or a strong interest in emerging agent technologies and generative recommender systems, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects, • Be accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk, • Passion for the opportunity to better serve artists & their teams, • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive, • A plus if you have experience with Ads systems, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have

You will be responsible for setting the research and engineering milestones, and deliver them by working closely with other team members and teams. In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:. At Google DeepMind,

The Home Podcasts team within Spotify’s Personalization Mission focuses on what podcasts to recommend on Spotify’s Homepage and where, by building the model to rank and find the perfect podcast content, fully tailored to each user. We are looking for a Machine Learning Engineer who is passionate about personalization ML models, recommender systems and disciplines included but not limited to contextual bandits, causal inference, deep learning, and generative recommenders, which are actively used and expanded by our teams. Join us and you’ll keep millions of users listening by making great recommendations to the Spotify Homepage. For the purposes of collaboration, we ask that our team members operate in the Eastern time zone. \n What You'll Do • Be a technical leader within the team you work with and within Spotify in general, • Coordinate technical projects across teams within SpotifyFacilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide, • Be a valued member of an autonomous, cross-functional agile team, • Architect, design, develop, and deploy ML models that will serve podcast recommendations across the Home, Podcast Subfeed, and NPV surfaces, • Be a leader in Home’s ML community and work collaboratively and efficiently within Home’s existing platforms and systems. Who You Are • You have experience being a technical leader or mentorYou have a strong background in machine learning, especially experience with recommender systems, • You have experience in designing and building ML systems at Spotify (including experience in spotify-kubeflow and salem), • You are experienced with feature engineering and building scalable data pipelines in Scio, • You have a deep understanding of ML systems and infrastructure, • You have experience in Tensorflow or PyTorch. Experience with Kubeflow, Ray is a plus. Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have, • This team operates within the Eastern Standard time zone for collaboration. \n The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

___ is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Cerebras Systems, Glean, Nuro, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible. As an AI Site Reliability Researcher, you’ll play a central role in ensuring the scalability, reliability, and observability of our AI platform. This is a high-impact, cross-functional role where you’ll design systems and processes that keep our AI-driven infrastructure healthy and performant. We’re entering a phase of rapid growth and scale, driven by the needs of large enterprise customers. That means pressure on everything from deployments to developer workflows. We’re building our own distributed systems, maturing our CI/CD pipelines, and managing complex hybrid environments (SaaS and on-prem). You’ll play a foundational role in establishing the SRE practices that allow us to scale thoughtfully and reliably. In this role, you’ll define how we do change management across diverse deployment environments, build internal observability from the ground up, and help bring structure to systems that are evolving quickly. You’ll also be a hands-on user of Traversal — your feedback will shape the product directly. And while your focus will be reliability, you’ll collaborate closely with our infra and AI agent teams, with opportunities to influence how AI integrates with real-world production environments. • Brains Of The Product: Distilling SRE Knowledge into Agentic workflows., • System Design & Architecture: Build scalable and resilient infrastructure to support AI observability agents in both cloud and on-prem environments., • Observability: Built systems to monitor logs, metrics, and traces tied to deployments and developer activity. Power user of observability tools., • Incident Management: Define and lead our on-call and incident response processes, including alerting, debugging, and postmortems., • CI/CD & Deployment: Design and scale our in-house CI/CD systems to support safe, efficient rollouts across hybrid environments., • Infrastructure Automation: Own our infrastructure-as-code stack and improve automation across deployment and provisioning workflows., • Experience as an SRE, infrastructure engineer or similar role in fast-paced environments., • Exceptional debugging skills across complex, distributed systems — proven ability to get to root cause quickly across varied tech stacks., • Strong systems design intuition — understands how observability tools fit into architecture and how to leverage them effectively in incident response., • Experience with observability tools (e.g., Datadog, Grafana, Prometheus, OpenTelemetry) and incident response., • Deep understanding of infrastructure automation and CI/CD systems., • Hands-on experience with Terraform, Kubernetes, and cloud environments (AWS or GCP)., • Ability to debug distributed systems and drive system-level improvements., • Experience supporting hybrid cloud/on-prem deployments and complex change management., • Familiarity with AI infrastructure or supporting ML/LLM workloads in production., • Background in developer productivity tooling or internal platform teams., • Prior experience building systems that connect infra events to developer workflows., • Exposure to agentic systems or AI observability platforms. We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge. We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team. Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

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 • 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, • Working knowledge of Scala 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 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 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___ Annual Salary Range: $40K-$200K

Who We Are Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where market research and client collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision: empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry. Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry. As a Senior SRE, you will help own and improve the technical foundations of Perchwell while exemplifying engineering rigor and excellence across our engineering culture and strategy. You will be helping execute large strategic technical initiatives within the SRE domain. You have deep experience in building and operating infrastructure for large production systems. You’ve owned or have highly opinionated views on what good observability is and help other teams see the light. You are rigorous and meticulous in your work and hold others to the same high engineering standards. You believe the best way to help others is to provide them the tools they need to get their job done in a safe and efficient manner and have a demonstrated history of success enabling product teams to quickly innovate and iterate. You will work closely with the VP of Engineering and other senior leaders to tackle and remediate our current problem set while also building net new capabilities. You will build important relationships and partner deeply with our product and QA organizations. The SRE team is responsible for building the ability to innovate faster in a safe and reliable way. Reliability, resiliency and adaptability are our north stars. This role has an on-call requirement. We believe that in an ever-changing, innovative environment, we do our best work when we are working as a team in-person. In this role, you’ll work out of our New York City HQ in Soho Manhattan at least 3 days/week. * Design and build scalable processes and solutions to fundamental engineering challenges * Design and manage scalable, secure AWS infrastructure * Partner with the Quality Team to own the CI/CD processes and enable fast, safe and frequent deployments * Contribute to and evolve our Kubernetes infrastructure and strategy * Build and manage safe self-service methods for our teams to manage their infra via Terraform and other automation tools * Be a champion of observability ( o11y ) by owning our o11y systems and establishing and enforcing best practices throughout the engineering organization around performance and service monitoring * Participate in and help improve our incident management and disaster recovery processes * Partner with FinOps and feature teams to manage infrastructure spending by identifying and optimizing costs saving strategies * BS or MS in Computer Science, related technical field, or equivalent experience * Distributed systems experience * Deep experience with AWS cloud services such as: EC2, RDS, EKS, CloudFront, ECR, S3, IAM, CodeBuild, Lambda, and Route53 * In-depth knowledge of Kubernetes, including experience with deploying, managing, scaling, and orchestrating clusters and automating/exposing this to other teams * You’ve built tools and or enabled automation for your team or others * You’ve used at least one programming language ( ex: python, golang, rust ) to solve problems and close feature gaps of your tools * Demonstrated pattern of systems thinking leading to organizational impact and strategic problem solving * The ability to go deep across service, database and infrastructure boundaries for design and performance related work * 5+ years of experience in a dedicated SRE role * AWS Well Architected Framework experience * Experience with Event Driven System designs and the required messaging technologies and patterns ( kafka, nats, aeron ) * Experience with security frameworks and tools for hardening environments and systems * Experience with different types of databases and their architectures * Experience with the Ruby on Rails ecosystem, and understanding of Rails-specific quirks * Experience with the management and scaling of Elasticsearch Salary Information To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. Our ranges are based on function and level benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills, job-related knowledge and depth of work experience. The base compensation range for this position is expected to be between $170,000-$230,000/year + equity + benefits. Note: At this time, we are only considering candidates who are authorized to work in the U.S.

✍🏽 About Writer Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes and one of the best places to work by Inc. Magazine, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, Mars, Salesforce, and Vanguard to transform the way they work. Writer’s fully integrated solution makes it easy to deploy secure and reliable AI applications and agents that solve mission-critical business challenges. Our suite of development tools is powered by Palmyra – Writer’s state-of-the-art family of LLMs — alongside our industry-leading graph-based RAG and customizable AI guardrails. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team of over 250 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work. 📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI Engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you. 🦸🏻‍♀️ Your responsibilities * Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities * Evaluate the performance of AI models & systems through rigorous testing and experimentation. * Deploy LLM-based applications in production, evaluating and improving their performance over time * Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency. * Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities. * Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions. * Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems * Implement strong testing and CI/CD practices that help us move with confidence in our AI system development ⭐️ Is this you? * Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience * High level of coding proficiency using Python * 5+ years of professional experience in software engineering, AI/ML development including: * Proficiency with production software (Python) and systems design * Machine learning algorithms and model development techniques * ML lifecycle tools like MLflow, dvc, weights & biases * Cloud deployment of ML systems * Professional experience with LLMs and large-scale models * Very strong software engineering skillx with a track record of building scalable, distributed product machine learning systems * Strong analytical and problem-solving skills * Ability to communicate complex ideas and concepts effectively * Ability to work independently and collaboratively Preferred Skills: * Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc * Depth of knowledge with RAG implementation and improvements Curious to learn more about who we are and how we operate? ___ Curious to learn more about who we are and how we operate? 🍩 Benefits & perks * Generous PTO, plus company holidays * Medical, dental, and vision coverage for you and your family * Paid parental leave for all parents (12 weeks) * Fertility and family planning support * Early-detection cancer testing ___ Early-detection cancer testing * Flexible spending account and dependent FSA options * Health savings account for eligible plans with company contribution * Annual work-life stipends for: * Home office setup, cell phone, internet * Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development stipend * Company-wide off-sites and team off-sites * Competitive compensation, company stock options and 401k Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to ___.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how! \n What We Value • Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools., • Solving real business problems, not academic benchmarks., • Ability to collaborate efficiently in teams of technical and non-technical individuals., • Comfort working in a dynamic environment with evolving objectives and direct iteration with users. What We Require • Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape., • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)., • Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning., • Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar., • Ability and interest in traveling up to 25%, as needed to client sites, but flexible based on personal preferences. \n Salary The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies. Benefits • Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance, • Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance, • Commuter benefits, • Take what you need paid time off, not accrual based, • 2 weeks paid time off built into the end of each year (subject to team and business needs), • 10 paid holidays throughout the calendar year, • Supportive leave of absence program including time off for military service and medical events, • Paid leave for new parents and subsidized back-up care for all parents, • Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation, • Stipend to help with expenses that come with a new child, • Employees can enroll in Palantir’s 401k plan Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at ___ and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please ___ and let us know how we can help.

We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the ___ — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way. The Opportunity at Komodo Health: Komodo Health is transforming healthcare by building the leading healthcare analytics platform. Our AI team, Labs@Komodo, is pioneering this transformation by delivering AI-native solutions that elevate both the products we bring to market and the way we build them. This role is designed for engineers who thrive in a fast loop of experimentation, iteration, and validation—people who move quickly from idea to working prototype using AI tools, and who know when to slow down and apply engineering discipline to scale what works. We’re looking for engineers who approach AI like product managers—owning the full lifecycle of intelligent systems: from rapid prototyping to feedback-driven iteration to scalable deployment, with a deep focus on how these systems deliver value, evolve over time, and integrate across the broader product ecosystem. You’ll serve as a multiplier: accelerating Komodo’s external innovation while reshaping internal systems, from engineering workflows to business automation. Looking back on your first 12 months at Komodo Health, you will have accomplished… • Delivered production-ready AI products and models that materially improve the precision and scalability of Komodo’s core analytics platform, • Rapidly prototyped and launched internal AI agents that enhance engineering workflows, automate routine tasks, and streamline cross-functional operations, • Helped shape and operationalize Komodo’s AI strategy by embedding AI-native thinking across products, teams, and platforms, • Mentored others in using AI to solve real problems by sharing best practices in prompt design, agent orchestration, and rapid iteration, • Contributed to Komodo’s IP portfolio by building novel workflows that combined speed, creativity, and technical rigor, • Set new standards for ethical, trustworthy AI by implementing feedback loops, model governance, and transparency mechanisms across your work. These are the essential job duties you will be responsible for … • Designing and delivering AI-native products and tools that solve real healthcare challenges and optimize internal workflows., • Building and extending AI features across the full stack to ensure AI capabilities are production-ready and integrated into Komodo’s platform., • Driving the full product lifecycle by gathering requirements, shaping them into technical designs, and delivering complete features that connect AI systems to real customer and business value., • Driving experimentation by developing working demos and iterating based on fast feedback from users and data., • Prototyping rapidly using GenAI models, chaining techniques, and orchestration frameworks to test ideas in days—not quarters., • Partnering with engineers, product teams, and operational stakeholders to identify AI leverage points across workflows, • Researching and applying state-of-the-art AI techniques—LLMs, agent-based systems, generative models, etc.—to both structured and unstructured datasets, • Building internal systems that enhance developer productivity: think agents for code review, documentation generation, or dynamic prompt libraries., • Transitioning successful prototypes into robust, scalable systems—with attention to reproducibility, observability, and maintainability., • Continuously exploring emerging models and toolchains (e.g., Gemini, GPT, Claude, open-source agents) and evaluating them through practical application. What you bring to Komodo Health (required): • A track record of building AI-powered systems that move rapidly from prototype to production, • Strong proficiency with LLMs, prompt engineering, context engineering, agent orchestration , and multi-agent systems, • Fluency in Python and hands-on experience with Gen AI frameworks (Chat Completions API, vLLM, Crew AI, Strands, etc.), • True full stack engineering: You are fluent across modern front-end frameworks such as React or Vue and back-end systems like FastAPI, Django, or Flask, and you use that breadth to design the APIs, interfaces, and services that bring AI capabilities into production., • End to end product ownership: You have a track record of translating customer or business needs into clear product requirements and delivering full stack features that turn AI prototypes into usable, value-driving products, • Deep understanding of AI/ML fundamentals, with applied experience solving real-world problems using an AI-first approach, • Comfort building quick demos, debugging AI behavior, and translating ideas into functional agent workflows or model pipelines, • The engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability in mind, • A system-builder mindset: equally motivated to craft internal AI tools and deliver customer-facing solutions., • Strong communication and collaboration skills—able to work across technical teams and influence non-technical stakeholders, • Degree in Computer Science, Machine Learning, or a related field—or equivalent hands-on experience that speaks for itself Expectations of AI Use in this role (required): This role is AI-native by design—you are expected to apply GenAI, agent-based workflows, and cutting-edge models as your default problem-solving toolkit. This includes: • Automating your own workflows using tools like Gemini, GPT, Claude, etc. and internal agents, • Driving experimentation and adoption of new AI techniques within your team and across Komodo, • Thinking in systems: understanding how prompt chains, orchestration logic, and fine-tuning loops can be built into scalable solutions Additional skills and experience we’d prioritize (nice to have)… • Experience with specific healthcare data modalities (e.g., claims, EHR, genomic data)., • Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing. The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $165,000 - $253,000 USD All Other US Locations: $144,000 - $194,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You’ll Work Komodo Health has a ___; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options. What We Offer Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with 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.

NOTE: This position requires a US citizen or Green Card holder. The Enterprise Application & Architecture Operational Support Project aims to modernize and transform the DOE’s technology systems to better support its mission of delivering equity and excellence in education. The project’s primary purpose is to improve the efficiency, scalability, security, and sustainability of DOE’s enterprise applications and supporting architecture. By doing so, it ensures that technology can effectively meet the evolving needs of DOE’s vast network of schools, educators, students, and families. RESPONSIBILITIES • Responsible for building and maintaining the infrastructure, automation, and tools needed for streamlined development, testing, deployment, and monitoring., • The DevOps Engineer collaborates closely with development teams to ensure that software can be deployed reliably and quickly while maintaining high availability and performance standards. KEY REQUIREMENTS • 5+ years of proven experience in implementing and managing DevOps practices, tools, and automation processes, with a strong focus on continuous integration/continuous deployment (CI/CD), infrastructure as code (IaC), and cloud services., • Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, and experience in managing cloud-based infrastructure for scalability, performance, and security., • Proficiency in automation tools and scripting languages such as Jenkins, Terraform, Docker, Kubernetes, Ansible, and Python, to automate workflows, infrastructure provisioning, and deployment pipelines., • Proven ability to collaborate across cross-functional teams, including developers, QA engineers, and operations, to ensure smooth integration and delivery of software releases., • Experience in setting up and managing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack) to ensure high application performance and proactive issue resolution., • Knowledge of security best practices for cloud-based applications, ensuring that DevOps pipelines comply with security policies, standards, and regulatory requirements., • Expertise in diagnosing and resolving deployment issues, system bottlenecks, and scaling challenges in production environments.

The user interface for AGI – Hebbia is AI that works the way you work. Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources. By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them. Our mission is to put capable AI in the hands of 1 billion people by 2030. As a highly skilled Site Reliability Engineer (SRE), you will contribute to building systems that optimize the uptime and reliability of our platform, and support the management and optimization of our DevOps and infrastructure operations. You will be responsible for owning our deployment pipelines, building and maintaining our continuous integration and continuous deployment (CI/CD) systems, ensuring the reliability and performance of our services, enhancing our observability, supporting our local development environments, and bolstering our security posture. Your technical expertise and problem-solving skills will contribute to the success of our AI products and shape the future of our technology stack. Our team works in person 5 days a week at our SoHo office in NYC. • Assist in managing deployment pipelines to facilitate smooth and efficient software releases., • Help implement and maintain observability solutions for monitoring system performance and reliability., • Support local development environments to optimize developer workflows., • Work with development teams to ensure infrastructure aligns with project requirements., • Contribute to improving the security of our infrastructure by assisting with proactive measures and audits., • Assist in developing and maintaining automation scripts and tools to enhance operational efficiency., • Help troubleshoot and resolve infrastructure and application issues to minimize downtime and maintain smooth operations., • Participate in evaluating and integrating new technologies to enhance the scalability, reliability, and security of our infrastructure., • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience., • 4+ years software development experience at a venture-backed startup or top technology firm., • Proven experience as a Site Reliability Engineer, DevOps Engineer, or similar role., • Strong expertise in managing CI/CD pipelines and deployment automation., • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud (we are an AWS shop)., • Solid understanding of containerization and orchestration technologies such as Docker and Kubernetes., • Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, or similar., • Knowledge of infrastructure-as-code (IaC) tools such as Terraform or CloudFormation., • Familiarity with security best practices and tools for infrastructure and application security., • Excellent problem-solving skills and the ability to troubleshoot complex issues., • Strong communication skills and the ability to work effectively in a collaborative environment., • A proactive and self-motivated approach to learning and adopting new technologies., • Passion for continuous improvement and operational excellence. Compensation In consideration of market analysis and relevant factors, the salary range for this position is set between $160,000 and $215,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, daily catered lunch, and unlimited PTO. #LI-Onsite

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an MLE II / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have experience fine-tuning and evaluating LLMsYou have experience building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have extensive experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products., • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have ___ This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $138,250- $197,500plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner. As an ML Engineer, you will help complete strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach. \n What You'll Do • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development, • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria, • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures, • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production, • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability Who You Are • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc., • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, pioneering architectures, • You have a collaborative approach, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models, • You have experience in optimizing machine learning models for production use cases, • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP, • You have some exposure to causal ML models, including things like counterfactuals, • You are familiar with crafting model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have___., • This team operates within the EST time zone for collaboration. \n The United States base range for this position is $138,250 - $197,500 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

We’re looking for a Senior Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems. You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you. ___ is building the___. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products. * At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company * Demonstrated ability to design and deploy large-scale machine learning systems that add new value to the product. * Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic ML * Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc. * Experience constructing and running end-to-end evaluation pipelines with real world data. * Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools. * Strong problem-solving skills, with a focus on creating highly maintainable, scalable code. * Excellent communication and collaboration skills. * Comfortable with iterative development, prototyping, and adapting quickly to feedback. * Hands-on experience with vector/hybrid search. * Experience with dataset curation or synthetic dataset generation for novel problem domains. * A passion for staying ahead of applied AI trends and prototyping emerging technologies. * Contributions to open-source ML tools or libraries. * Experience with Go or another systems language. * Identify as a builder * Are excited to work in-person from our new and spacious office in New York * Love working in a startup environment (experience in a startup or obsession with going zero-to-one) * Enjoy working with people who are ambitious, caring, and think in systems * Thrive in a fast-paced iterative environment where experimentation is essential * Pay & ownership — Competitive salary with generous equity grants. * Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits. * Unlimited PTO — Take the time you need to recharge. * Dinner on late nights — Working late? Dinner is on us. * Fitness stipend — Monthly support for your health and wellness. * Tools of the trade — Any equipment you need to do your best work. * Commute perks — Citi Bike + train benefits. * Application Review – Send us your stuff, and a quick note on why you're excited. * Intro Chat: Share what you're looking for next and learn more about what we're building. * Founder Interview: Talk with one of our founders in more detail about the role * Technical Interview: We’ll have you complete a short exercise specific to the role. * Onsite: Come onsite and meet the team through a series of 1:1 interviews. * Decision – We’ll move fast.

Credit Genie is a mobile-first financial wellness platform designed to help individuals take control of their financial future. We leverage artificial intelligence to provide personalized insights and are building a financial ecosystem by offering tools and services that provide instant access to cash, and building credit. Our goal is to empower every customer to achieve long-term financial stability. Founded in 2019 by ). Backed by Khosla Ventures and led by industry pioneers from companies such as; PayPal, Square, and Cash App, we are well positioned to build the future of inclusive finance through cutting-edge technology and customer-centric solutions. As a Staff Machine Learning Engineer, you will be responsible for building and maintaining our Machine Learning (ML) and Artificial Intelligence (AI) infrastructure, and to help our team build, deploy, and monitor ML and AI models and services. Additionally, you will provide hands-on technical leadership and mentorship for a growing team of AI/ML Engineers. The successful candidate will have a strong background in ML, and significant prior experience in delivering end-to-end Software Development projects. This role is expected to collaborate very closely with our AI/ML team as well as with Credit Genie’s Engineering, Data Engineering, and Product teams. * Responsible for building the Engineering foundation for the Data Science and ML/AI team, and for setting the company’s ML/AI Engineering roadmap in collaboration with our leadership team. * Collaborate hands-on with Data Scientists and ML/AI Engineers to deliver production-grade ML/AI systems that support critical areas of our business (e.g., Risk and customer-facing in-app experiences). * Collaborate with leads from Engineering, Data Engineering, and Product to expand the existing technological stack of the company and support ML/AI-specific requirements. * Responsible for setting and maintaining the highest ML Engineering standards in the Data Science and ML/AI team. * Have fun working on hard and highly impactful problems. * 8+ years of Backend Software Development experience and demonstrated prior experience working with ML/AI teams in a technical leadership capacity. * Strong foundation in Software Development and prior experience leading impactful ML software projects. * Strong foundation and demonstrated prior experience with Version Control, Infrastructure as Code, Testing, CI/CD, Monitoring and Observability. * Demonstrated ability to deliver end-to-end production-grade ML solutions (e.g., experience with databases and data warehouses, streaming vs. batch data ingestion, feature engineering and versioning of features, Jupyter Notebooks and similar ML development environments, building and testing prediction services, versioning model artifacts, …). * Significant prior experience with ML-specific technologies such as Feature Stores/Feature Platforms and Model Registries, and demonstrated knowledge of ML-specific architectural patterns and tradeoffs (real-time vs. batch prediction, batch features vs. streaming features). * Proficiency in multiple programming languages beyond Python (e.g., TypeScript, Rust, Go). * Experience with the AWS cloud. * Experience with Snowflake. * Experience with ML/AI tools and frameworks (scikit-learn, PyTorch, Tensorflow, LangGraph/CrewAI/PydanticAI). Our goal is to provide a comprehensive offering of benefits and perks that promote better financial, mental, and physical wellness. We believe working alongside each other in person is the best way to build a great product and foster a strong company culture. Our expectation is that employees are in the office five days a week, allowing for optimal collaboration, inclusivity, and productivity. At the same time, we understand that life happens and recognize the importance of flexibility. We are committed to supporting our employees when circumstances arise that require remote work or adjusted schedules. Our goal is to ensure everyone can effectively balance personal and professional responsibilities while maintaining our collaborative and productive environment. Here are some highlights of our benefits and perks offerings, feel free to ask your recruiting partner for more details on our comprehensive offering for employees. * 100% company-paid medical, dental, and vision coverage for you and your dependents on your first day of employment. * Monthly fitness reimbursement up to $100 or a full membership to LifeTime Fitness * 401(k) with a 2.5% match and immediate vesting * Meal program for breakfast, lunch, and dinner * Life and accidental insurance * Flexible PTO Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total compensation and rewards package at Credit Genie. You may also be eligible to participate in the bonus and equity programs. You will also have access to comprehensive medical, vision, and dental coverage, a 401(k) retirement plan with company match, short & long term disability insurance, life insurance, and flexible PTO along with many other benefits and perks. Credit Genie is a proud Equal Opportunity Employer where we welcome and celebrate differences. We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work. If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. • Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities, • Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more, • Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features, • Tackle novel UX problems at the intersection of AI, BI, and apps, • 10+ years of experience building and deploying production-grade AI/ML systems, • Deep knowledge of machine learning, deep learning, and applied AI, • Experience across the full ML lifecycle: data curation, training, deployment, monitoring, • A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex, • Experience adapting or training foundation models (language or multimodal) for novel domains, • You've built agents that can plan, reason, and use tools, • You know your way around cloud infrastructure (AWS, GCP, Azure), • You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this position is $240k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code-first environment. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program, • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their work and billions of fans the opportunity to enjoy and be inspired by it. The Music Mission team owns Spotify’s end to end proposition for music creators and th

AI Engineer, Investment Services A CAREER WITH POINT72’S COO TEAM The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intelligence. You will play a unique role by identifying key business problems and working in partnership with Compliance to identify potential solutions by applying advanced GenAI/ML techniques. This includes building prototypes to prove out hypotheses and delivering production-grade capabilities to enable opportunities for broad value creation for the firm. Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Java, Python, and SQL. WHAT YOU’LL DO • Identify opportunities and develop technical roadmaps for GenAI solutions, • Scope, prioritize, prototype and deliver GenAI projects to help solve key business problems for Point72’s Investment Services teams. Your work/projects will span both on-premises and AWS environments, leverage technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and use programming languages such as Java, Python, and SQL, • Lead collaborations across the firm, where appropriate, on GenAI/ML initiatives and techniques, • Deliver analytics and insights to measure the value of solutions delivered, • Partner with groups across the firm such as Technology and Compliance on GenAI initiatives, • Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free, • Stay up to date on AI/ML market landscape, trends, and technological innovations to provide recommendations on new tools and methodologies for adoption WHAT’S REQUIRED • Bachelor's degree in computer science, engineering, or related field, • Minimum 5+ years of professional experience, • Demonstrated success leveraging AI/ML to drive/improve business outcomes, • The ability to develop, own, and provide technical leadership over AI solutions, including model selection, fine-tuning, and ideally model development, • Excellent written and verbal communication skills, • Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: • Fully-paid health care benefits, • Generous parental and family leave policies, • Volunteer opportunities, • Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community, • Mental and physical wellness programs, • Tuition assistance, • A 401(k) savings program with an employer match and more ABOUT POINT72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit ___. The annual base salary range for this role is $175,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Rilla builds the world’s leading conversation intelligence software for offline commerce. By recording, analyzing, and indexing conversations, our platform supplies unparalleled alpha to the critical, physical businesses that constitute the backbone of our economy. Our purpose is to bring the technology of the 21st century’s most innovative companies to the rest of the economy. As a side effect of this mission, we’ve become one of the fastest growing companies in history. In numbers, that means 0→$40M in 3.5 years, growing 15% MoM, Net Revenue Retention above 170%, an NPS higher than the iPhone’s, and profitability. AI Engineers at Rilla are redefining how humans interact with machines—using voice, intelligence, and a whole new class of data. Every day, you’ll architect and ship AI-powered systems that make it possible for people to talk to Rilla like they would a human. You’ll help build agents that operate natively on real-world audio, extract insights from conversations no one else can even access, and push the boundaries of what’s possible in AI. We’re building: * A voice-first interface that lets users command Rilla directly through natural speech * A search engine that uncovers business-critical insights from voice data that’s never been searchable * A first-of-its-kind audio intelligence pipeline—designed for the messy, noisy, wildly unstructured conversations that happen in the real world, not in an online meeting As an early AI engineer, you’ll shape the foundations of our AI stack and drive the invention of new techniques, tooling, and models. You’ll work across the full AI lifecycle—from data acquisition to real-time inference and user-facing chat interfaces. If you’re obsessive about your craft, think like a founder, and want to be on the frontier of voice and offline AI, this is your team. The scale of the problems we’re solving is unmatched—and the surface area for ownership is only getting bigger. * We work primarily in Python and TypeScript, with FastAPI for API development * AI/ML technologies including PyTorch, OpenAI APIs, Baseten, and LiteLLM * Cloud infrastructure with AWS and LiveKit for real-time communications * PostgreSQL, Redis, and S3 for data storage * An infinite learner. Someone who is relentless in their curiosity. * A customer obsessive. Someone who deeply care about delighting customers and solving real pains, not vanity metrics. * A winning attitude. You thrive with extreme accountability, learning as a team, and both giving and receiving rapid feedback. * Extreme empathy. Our customers are not tech companies. They live and work in the real world. Empathy is critical to arriving at correct solutions. * Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more. * Experience building and deploying AI/LLM systems in production * Familiarity with tools that power today's AI: eval frameworks, agent tooling, and prompt engineering * Comfort working directly with customers to understand their needs and solve real-world problems Please don't join if you're not excited about: * Building an AI product for an industry untouched by modern software * Constantly talking to and visiting customers in the field * Working ~70 hrs/week in person with some of the most ambitious people in NYC * Attempting to build a generational company, and the intensity required to do so The estimated salary range for this position is $200,000 - $300,000/year. Successful candidates with competing offers will receive matching and competitive offers. Total compensation for this position may also include Incentive Stock Options, sign-on bonus, and other potential future incentives. This estimate excludes the value of any potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives. Our benefits aim to empower Rilla employees in removing roadblocks to achieving their life’s work. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Rilla. * Medical, dental, and vision insurance * Breakfast, lunch, dinner, and supplementary food and drink — 6x a week * Gym membership * Commuter benefits * Relocation assistance * Take what you need paid time off, not accrual based * $1,000 stipend for learning and personal growth * $1,500 a month rent stipend * Tech equipment

Job Description 🚗 Why us? Jerry.ai is a fast-growing, pre-IPO startup on a mission to revolutionize the $2T car ownership industry in the U.S. With $240M in funding, 60X revenue growth in 5 years, and an ambitious plan to become a $10B company, we’re looking for driven individuals to help scale our product. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. Join a talented team with leaders from NVIDIA, Robinhood, Amazon, Meta, ByteDance, Square, and more, and build one of the most exciting startups in the industry. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are seeking a purpose-driven Senior Backend Engineer to work on a critical, stealth project on our DriveShield™ team to enhance driver safety and make a real-world impact on the lives of millions. You will play a key role in building scalable and high-performance backend systems that power Jerry.ai’s explosive growth. This is an exciting opportunity to be part of the team that that helps us go from 5M to 50M customers and disrupt a $2T market while driving innovation at scale. 🫵 How you will make an impact * Focus more on the non-functional requirements of backend applications, including service availability, scalability, reliability (fault tolerance), and possibly observability and security * Oversee system design and architecture to ensure robust and scalable solutions * Develop and optimize real-time data processing applications using Kafka and Flink * Profile and optimize application performance * Focus on the application side, collaborating with data scientists to deploy and integrate models in production * Handle data processing, sanitization, validation, and data QA 🚀 Requirements * 5+ years of software engineering experience * Proficient in at least one core language (e.g., Java, Python, Go, JavaScript) * Expertise in Kafka Streams, Flink or similar real-time data processing frameworks * Experience building real-time data processing applications * You are known for shipping products and features lightning-fast * Startup experience at a high-growth company (nice to have) * Bonus if you have previous knowledge of working with geospatial data Our tech stack * Java and sometimes Python * Stream processing: Kafka and Flink * Hosting infra: AWS While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Job Description H&H is offering an exciting opportunity for an Office Engineer in our Construction Services Division. With over 138 years of experience, H&H is a trusted full-service infrastructure engineering firm. Our clients, including infrastructure owners, contractors, and colleagues, rely on us for intricate and innovative engineering solutions. They trust our time-tested ability to manage the entire life cycle of a project, from the study and planning phase through to design and construction. With over 600 talented employees located across 30 offices nationwide, H&H can efficiently and effectively handle assignments of all sizes, types, and delivery methods around the country and across the globe. Requirements • At least five years of experience as an Office Engineer in bridge construction, in the NYC area, • Office Engineer must have BS degree in Engineering or NICET III certification, • Working knowledge of structure and bridge construction methods, materials, standards, and specifications, • Office Engineer must have NYC DOT experience, • Experience with MURK and NYS reporting (e.g. SiteManager) (preferred) Salary range— $95,000-$145,000 annually. Salary commensurate with experience. We offer a professional work environment, competitive salary, benefits package and 401(k). EOE M/F/DISABILITY/VETS

Job Description Founded in 2020, UJUU is an eCommerce platform and brand development studio. We endeavor to connect a global audience of underserved and underrepresented consumers to a diverse community and collection of carefully curated and vetted emerging designers and brands. We achieve this by offering elegant brand development services and eCommerce solutions across our family of brands. Our vision is to create a best-in-class and forward-thinking shopping experience for our global community of black and brown across the African diaspora. We're just getting started, but we're already off to a promising start with the launch of our two initial brands: souk + Sepia and simisienna. With each subsequent brand offering we strive to better serve and meet the unfulfilled needs of our expansive audience. To achieve these extensive goals, we're looking to add talented and motivated individuals to our growing team. If this appeals to you please apply and let us know! The Role • As our Director of Engineering you will be responsible for architecting and overseeing our overall technology stack and ecosystem across brands and properties., • Your primarily objectives will orient around ensuring standardization and synchronicity across development and engineering initiatives, in addition to prioritizing consumer experience, safety, and security across all platforms. What You'll Do, • Prepare and manage the engineering department’s budget, • Manage engineering teams and projects end-to-end, • Manage software development projects by setting requirements, goals and timelines, • Hire, manage and coordinate internal teams, including security, IT and developers, • Design, build, and manage data infrastructures across respective brands and properties, • Write well designed, testable, efficient code by using best software development practices, • Create and manage technical documentation outlining current systems and technology implemented, • Implement new systems and remain abreast of emerging technologies and trends, • Translate needs across teams and coordinate with external stakeholders for new integrations and tools, • Review and update policies relevant to internal systems and equipment, • Design strategies for future development projects based on the company’s overall objectives and resources, • Hire engineers and coordinate their training, • Implement innovative technologies, • Monitor reliability and performance of all internal systems to suggest improvements, • Ensure compliance with security regulationsQualities You Possess, • 5+ years experience building and architecting consumer experiences across Shopify (Shopify Plus), Magento, and other eCommerce based web technologies, • Prior experience as a director of engineering or in a similar senior-level position at an engineering department, • Deep knowledge of HTML5, CSS3, Shopify Polaris, React JS, JQuery php, javascript, platform APIs, Shopify themes, apps and infrastructure, • Experience building responsive interfaces and debugging for variety of devices and browsers, • Good understanding of full-stack web application - authentication, consuming and interacting with external API, sending requests from the front-end and responding to requests in the back-end, • Ability to work with large datasets, exporting data from other systems and importing data into Shopify, • Experience with Git version control and continuous integration, • Knowledge of tools like ShipStation, Mailchimp and other platforms that support the eCommerce user experience, • Basic knowledge of GraphQL, • Having a Shopify partner account and ability to demonstrate your work in Shopify, • Strong eye for aesthetics and attention to detail, • Energetic, mature, empathetic and positive person who is self-driven and can work independently, • Leadership abilities with a strategic mind, • Excellent project management skills, • Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques

Work directly with design, product, and operations to define requirements and ship user-facing improvements. Strong product sense and an eye for good UX. Background in hospitality, luxury, or marketplace products (bonus points).