Trabajos machine learning software engineer en Bayonne, NJCrear alertas

Solid understanding of statistical analysis, data modeling, and machine learning algorithms. Several years of experience in machine learning, data science, or software development is often preferred. Senior / Staff / Principal Machine Learning Engineer.

As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and executio

As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Extensive software engineering experience with strong working experience as a Machine Learning Engineer. Your responsibilities will en

Artificial Intelligence (AI) / Machine Learning (ML).

Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows. We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows.

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. Senior Machine Learning Engineer. You will work on challenging problems at the intersection of software engineering and

As a Principal Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning

Machine Learning Engineer will join our Applied Data Science group, part of Nexxen DSP Software Development. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and

We are looking for a talented full stack software engineer with an insatiable hunger for solving bleeding-edge scientific problems spanning AI, machine learning, biology, chemistry, physics and computational science domains to join our core application team. Relevant areas of expertise might include

We’re looking for a self-motivated, highly driven Staff Software Engineer to bolster our Journeys Engineering team. Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security.

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 The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. 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. Compensation Range: $115K - $180K

Job Description Machine Learning Engineer (15265-1) Newark, NJ Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Please submit the candidate's resume in PDF format., • Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered., • Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.

Job Description Software Engineer (Full Stack) NYC Data Science Innovation Center – Investment Management They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer (Full Stack) at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Responsibilities: • Contributes to all parts of the SDLC, e.g., design, development, and testing, • Develops technical solutions following standard methodologies with some guidance from senior engineers, • Practices automated testing and tests your work in an automated and repeatable way, • Identifies and remediates technical debt, • Works with existing data models and schemas and suggests changes and improvements where necessary, • Demonstrates strong logic and reasoning capabilities, • Delivers on well-specified work items, • Uses questions and proposals to clarify requirements when unclear Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented language (Java, Python, C#), • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred, • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented Required Education: Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field)\ An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs SALARY RANGE: The salary range is $118,000 - $202,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and hybrid remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefits

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. • Taskrabbit is a hybrid company with employees distributed across the US and EU, • Built In — Best Places to Work (2022, 2023, 2024) Continually ranked across multiple national and regional categories., • DataBird Journal — Workplace Diversity & Inclusion Awards, • #1 Best Companies for Diversity in 2019 & 2020, • #4 (2019) → #1 (2020) Best Companies for Women Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!. This is a Hybrid role with the expectation that employees will begin working 2 days per week in our dedicated office space in San Francisco or New York City starting in September of 2025. About the Role Data is the lifeblood of Taskrabbit, and we are looking for a visionary leader to join as our Director of Data Engineering. In this critical role, you will own the data infrastructure that powers our entire business. You will be responsible for hiring, coaching, and directly managing the Data Engineering and Analytics Engineering teams, guiding them to design and build high-scale, reliable systems that ensure data accuracy, availability, and trustworthiness. As the Director of Data Engineering, you will be the senior-most engineer in the data organization, responsible for setting the vision, strategy, and standards for our data platform. You will implement best-in-class data warehousing practices, manage data governance, and create robust processes for data monitoring, alerting, and anomaly detection. You will partner closely with leaders across Data Science, Machine Learning, Product, and Engineering to define your team's roadmap, prioritize high-impact work, and deliver against timelines with high-quality software. This is a strategic role that requires a blend of deep technical expertise, strong leadership skills, and a passion for building the foundational systems that enable a data-driven culture. What You'll Work On: • Team Leadership & Development: Build, coach, and scale a high-performing, geographically distributed team of data and analytics engineers, fostering a culture of excellence, innovation, and accountability., • Strategic Vision & Roadmap: Proactively drive the vision for Taskrabbit's data platform. Define and execute a strategic roadmap that aligns with our broader data strategy and company objectives, focusing on scalability, reliability, and efficiency., • Engineering & Architectural Excellence: Promote data engineering best practices (CI/CD, coding, testing, observability, security) for maintainable, high-quality solutions. Lead data model design and define data warehousing best practices, overseeing foundational improvements., • Enable Self-Service Analytics: Champion and oversee the development of a semantic layer to provide a single source of truth for key business metrics, empowering teams across the company with self-service analytics capabilities., • Cross-Functional Partnership: Build strong, collaborative relationships with Data Scientists, Product Managers, and Software Engineers to understand their evolving data needs and deliver robust solutions., • Operational Excellence: Define and manage SLAs for all critical datasets and production processes. Implement and oversee a comprehensive observability strategy, including monitoring, alerting, and data quality checks., • Establish and Oversee Data Governance & Compliance: In collaboration with the Information Security Committee, establish and enforce data lifecycle management policies, including data retention and disposal procedures. Lead initiatives to ensure the data platform meets and maintains compliance with global regulations., • Ensure Data Reporting Correctness and Accuracy: Implement a robust data quality framework to guarantee accurate, consistent, and reliable data for reporting and analysis. This involves defining data quality metrics, automating monitoring and alerting, and establishing rapid issue resolution processes., • 5+ years of experience as a data engineering leader, with a proven track record of scaling, managing, and building high-performing, geographically distributed data teams., • 2+ years of experience establishing and enforcing data lifecycle management (such as data retention policies and data disposal procedures)., • Demonstrated experience in leading data initiatives for compliance, including working with regulations like GDPR, CCPA, or similar, and supporting organizations in successfully achieving and maintaining certifications such as SOC 2 or ISO 27001., • Skilled in coaching and leading other engineers, with the ability to provide deep technical guidance when needed., • Strong communication and leadership skills, with a bias for action and the ability to proactively drive complex projects to completion, and effectively communicate the business value of technical initiatives to stakeholders across the organization., • Experience leading a data organization through the implementation of security and compliance initiatives., • Deep experience with modern cloud platforms (e.g., AWS, GCP) and data warehouse technologies like Snowflake., • Expertise in SQL, data modeling, and at least one scripting language (e.g., Python)., • Experience with modern data stack tools such as dbt, Airflow, and BI/visualization tools like Looker or Sigma., • Experience with or a strong understanding of semantic layer technologies (e.g., dbt Semantic Layer, LookML) is a significant plus., • Expertise in Agile/Lean software development methodologies. The base pay range for this position is $181,000 to $252,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

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

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking an experienced Staff Software Engineer to join StubHub's data platform team with a focus on data governance, security, and compliance. In this role you will be responsible for driving strategy and technical implementation of SOX compliant data environments, developing scalable data governance practices, and ensuring secure handling of personal information across our data warehouse and machine learning platforms. This includes establishing enterprise-grade data governance frameworks, implementing security controls for PII data, and building scalable patterns for managing permissions across environments to safely reduce developer friction. As a Staff Software Engineer, you will lead the development of core data governance infrastructure and frameworks that enable secure, compliant access to high-quality data assets across the company. You will play a strong role in defining the culture and expectations around data security and compliance practices. We are looking for the right person that is passionate about the intersection of data engineering and security, and that can bring principles from software development fundamentals to create a data ecosystem that is principled, secure, maintainable, and extensible to the growing needs of the company over time. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CAStrategic NeedWe have increasing needs to be able to scale our data governance practices as we gain further adoption of leveraging data in all forms across the company. Specifically, SOX compliant data environments, security of personal information, and growing external data shares are all things loosely owned and lacking expertise today. What You'll Do • Drive strategy and technical implementation of SOX compliant data environments for Finance/Fintech, as well as applications centered around the data warehouse and machine learning., • Partner with Business Platform, Legal, and Data Science on developing low-friction ways of safely adopting GenAI solutions that leverage the data platform, • Address known areas of improvement in handling of personal information and access to it in the data warehouse, • Develop more scalable patterns for managing permissions across environments to safely reduce developer friction, • Design and implement enterprise-grade data governance frameworks including data classification, lineage tracking, and access controls, • Build automated compliance monitoring and reporting systems for SOX and other regulatory requirements, • Establish security best practices for data sharing with external partners and third-party integrations, • 8+ years of relevant software or data engineering development experience in a fast paced, high growth environment, • 3+ years of experience with data governance, security, or compliance in enterprise environments, • Strong programming and analytical ability with expertise in Python, SQL, and infrastructure-as-code, • Experience with SOX compliance requirements and implementing technical controls for financial data, • Experience with data privacy regulations (GDPR, CCPA) and PII handling best practices, • Experience with cloud-based data warehousing solutions such as Snowflake, DataBricks, BigQuery, or Redshift, • Experience with data pipeline management and orchestration tools such as Airflow, dbt, or similar, • Experience with identity and access management systems, role-based access controls, and security frameworks, • Knowledge of GenAI/LLM security considerations and safe deployment practices, • Experience with data masking, tokenization, and encryption technologies, • Experience with audit logging, monitoring, and alerting systems What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. About the Role: As a Technical Account Manager at LILT, you will be a critical link between our core engineering teams and our most complex and strategic customers. You'll be on the front lines, working directly with a handful of complex clients to understand their unique needs, integrate LILT's platform into their existing workflows, troubleshoot technical challenges, and provide expert guidance. This role requires a strong technical foundation, business acumen, excellent communication and problem-solving skills, and a passion for customer success. You will thrive in a dynamic environment, embracing the opportunity to travel and work collaboratively with diverse teams. Responsibilities: * Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization. * Solution Design and Implementation: Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes. * On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers. * On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform. * Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution. * Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows. * Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams. * Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives. * Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally. Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 4+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer. * Strong AI knowledge including an: * Understanding of how LLMs are trained and how inference works * Understanding of batch learning, on-line learning and context windows and how to use them to improve customer value * Understanding of the trade-offs of inference speed, learnings, model sizes and costs * Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements * Understanding or demonstrated experiencing using MCP to build agentic workflows * Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives. * Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP). * Proficiency in at least one programming or scripting language (e.g., Python, JavaScript). * Experience with enterprise software deployments and integrations. * Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues. * Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences. * Strong customer-centric mindset with a passion for ensuring client success. * Ability to work independently and manage multiple priorities in a fast-paced environment. * Experience with translation management systems (TMS) or localization workflows is a plus. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus. * Fluency in multiple languages is a plus. What We Offer: * Competitive salary and benefits package. * Opportunity to work with cutting-edge AI technology in a rapidly growing industry. * A dynamic and collaborative work environment. * Significant opportunities for professional growth and development. * The chance to make a real impact on global communication and business. Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $100K - $175K

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We are seeking an experienced Senior Data Platform Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on building and scaling our data infrastructure. In this role you will be responsible for architecting and maintaining the foundational systems that power data-driven decisions across pricing optimization, fraud detection, customer analytics, and business intelligence. This includes designing scalable data architectures, implementing cost optimization strategies, and building self-service platforms that enable developers to deliver insights faster while maintaining enterprise-grade reliability. As a Senior Data Platform Engineer, you will lead the development of core data infrastructure and frameworks that enable efficient, scalable access to high-quality data assets across the company. You will play a strong role in defining technical standards and best practices around data platform architecture. We are looking for the right person that is passionate about the intersection of data engineering and platform engineering, and that can bring principles from software development fundamentals to create a data ecosystem that is performant, reliable, maintainable, and extensible to the growing needs of the company over time. Strategic Need: Our data platform team is growing both in size and scope to meet StubHub's expanding data infrastructure needs. We're looking for a senior-level platform engineer to join our team and help drive forward-looking architecture and optimization initiatives. This role will bring specialized expertise in Snowflake optimization, Airflow best practices, streaming infrastructure, and Infrastructure-as-Code to support our long-term technical vision and platform evolution. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do: • Design and implement scalable data architecture that supports exponential data volume growth without proportional infrastructure cost increases, • Build and maintain enterprise-grade infrastructure using Infrastructure-as-Code (Terraform) for consistent, reproducible deployments across environments, • Optimize Snowflake warehouse performance and implement cost management strategies to reduce compute costs while improving query performance, • Architect streaming data solutions using Kafka or similar technologies for real-time data processing capabilities, • Establish comprehensive monitoring and alerting with proactive incident response and disaster recovery procedures for business-critical systems, • Build self-service tooling and developer portals that reduce operational overhead and enable faster feature delivery, • Standardize dbt project templates and CI/CD workflows to accelerate development cycles and improve code quality, • Lead complex technical initiatives spanning multiple teams and quarters, driving architectural decisions across the organization, • 5+ years of relevant data platform engineering or infrastructure development experience in a fast-paced, high growth environment, • 3+ years of hands-on experience with modern data stack technologies including Snowflake, Airflow, dbt, and Infrastructure-as-Code tools, • Strong programming and analytical ability with expertise in Python, SQL, and infrastructure automation, • Proven track record of building and maintaining large-scale data platforms processing millions of records daily with enterprise-level reliability, • Experience with cloud-based data platforms (AWS, GCP, or Azure) including cost optimization and performance tuning, • Experience building self-service tools and automation that measurably improved developer productivity and reduced operational overhead, • Technical leadership experience driving architectural decisions and leading cross-functional initiatives, • Experience with real-time analytics and low-latency data processing systems, • Knowledge of data governance, compliance, and security frameworks, • Background in e-commerce, marketplace, or fintech environments with high-volume transaction processing, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description About CyberCube: * The market leader in digital analytics 📊 with the mission of delivering the world’s leading cyber risk analytics 🌐 on one of the most critical risks of today and the future. * Exceptionally well-funded startup 💰 that has raised over $100MM from top-tier investors. * Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate. * CyberCube and its products consistently earn industry recognition 🏆, including awards like Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025. * Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers. * At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar. * Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️ * Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview! 🎥 We’re looking to hire a software engineer in the Data Strategy and Collection team at CyberCube. This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings. The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry. The Impact You Will Make: * Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives * Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management. * Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals * Deliver on key objectives and quarterly development goals across 3+ products The Skills and Experience You Will Bring: * 5+ years of experience in building large-scale data collection systems * Deep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP * Highly proficient in SQL and Python, strong fundamentals in data structures, algorithms, and base Python paradigms, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learnin,g such as Pandas, NumPy, Scikit-learn etc. * Experience with AWS technologies for computation, orchestration, and storage * Experience with designing, deploying, and maintaining microservice applications * Excellent oral and written communication skills * Experience working in and leading project teams * Ability to work in an agile, fast-paced startup environment * Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely * Ability to think creatively and implement a plan to address bugs and urgent product issues promptly * Aptitude for time-sensitive analysis and troubleshooting tasks Primary Responsibilities: * Manage a team of data specialists * Maintain, monitor, and apply design updates to existing data collection systems * Develop and continually update technical documentation * Perform code reviews and suggest opportunities for improvements * Deliver high-quality data analysis and present findings to cross-functional teams * Collaborate effectively with an organization that prides strong interdisciplinary teamwork among members * Execute with speed and rigor within an efficient and multi-faceted startup environment AI Fluency: AI plays a critical role in how we scale data operations and drive product innovation across the company. This role contributes to a broader company-wide focus on expanding AI usage to improve efficiency, quality, and insight generation. You’ll be expected to apply AI tools to streamline processes and explore new ways to unlock value through automation and analysis. We look for candidates who show curiosity and strategic thinking in how they apply AI in their work, and we assess this as a key capability during hiring. Why You'll Love it Here: * Play an instrumental role in reshaping one of the oldest industries in the world * Competitive salary and unlimited PTO * Meaningful early-stage equity * Generous healthcare benefits with medical, dental and vision coverage * Monthly catered lunches and happy hours * Company-paid learning and development assistance * Flexible working hours and ability to work remotely * Opportunity to participate in a secondment program * Dependant care assistance plan * Company-supported mentorship program * Grow in a collaborative, respectful, and empathetic culture #LI-Remote #LI-Hybrid Compensation Range: $160K - $176K

Job Description WHO WE ARE Crossmedia is the global media independent. We're committed to doing media and business the right way, guided by the principles of TRUST, REASON and the pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation. We are 500+ Crossmedians worldwide with big ambitions to continue to grow with soul. We focus on what media agencies should do: create innovative connections between brands and people regardless of channel or budget. And, we do it in an honest way. We are and always have been a values-based organization. We earn our clients TRUST by ensuring media transparency in our business model and objectivity in decision-making. We apply REASON & logic to finding solutions to our clients' greatest business challenges. The pursuit of HAPPINESS matters to us. Big time. We invest in each colleagues' professional & personal wellbeing and growth. It's why we have countless initiatives, clubs & cultural events dedicated to our people and why we have been the top ranked media agency named to Ad Age's Best Places to Work for the past six years in a row. Our client roster includes US Bank, Invesco, Newell Brands, NASCAR, Planet Fitness, Teremana, American Cancer Society, Ricola, Supercuts, Edible Arrangements, Illva Saronno, Zalando, Airbus and more. We are looking for a passionate and collaborative Engineer, Data and Solutions to join our technology team. The technology team develops innovative solutions that empower our clients to make data-driven optimized media investment decisions with precision, scalability and speed. Your role as an Engineer is to ensure all Crossmedia accounts are being consistently supported and serviced at the highest levels of data accuracy, integrity, integration, and actionable insights. You'll be responsible for developing and documenting best practices across data and AI operations in alignment with our mission. The Engineer is an integral member of the team involved in the "XM Product" that is delivered to each client, providing strategic guidance based on an in-depth understanding of each clients' business, their target consumer and unique category dynamics. The Engineer will be a key parter for the Redbox team (data analytics) and is responsible for helping us deliver breakthrough solutions across advanced analytics, optimization, and audience practices. This includes supporting training initiates, contributing to enhancing our culture, and mentorship of Crossmedians. We are open to a New York, Philadelphia, or remote hire but candidates must be US based. KEY RESPONSIBILITIES • Developing and enhancing the Redbox integrated data layer across Measurement, Audience, Optimization, and Insights, • Partnering with offshore data and development resources to ensure timely and quality delivery of data solutions, • Partnering with clients, account leadership, strategy, planning, and Redbox team leads to develop best-in-class Artificial Intelligence strategies and solutions, • Keeping abreast of fast-moving developments in AI and their application to the XM Product, • Ensuring key Redbox data infrastructure is resilient and future-proofed, • Support client and partner data integrations and developing solutions to automate and scale our audience, optimization, and advanced analytics solutions, • Coordinate on data workflows and solutions requirements with Redbox practice leads, • Champion a culture of continuous innovation and operational excellence for data and AI solutions., • Coordinate and oversee implementation of solutions prototyping huddles and sprints, • Responsible for the ownership and documentation of all media and solutions data infrastructure, • Coordinate with Redbox, Strategy, Planning, and Marketplace teams to develop requirements for automation and AI investments, • Collaborate with Analytics Operations leads to drive global scalability, ensuring localization and compliance with regional data regulations. REQUIREMENTS • Five years of direct experience in integrated media data engineering, including data architecture and solutions development., • A high preference for working within a media advertising agency, • 4+ years of hands-on experience with media ETL platforms and data processing frameworks (e.g., Adverity, Funnel, Fivetran, dbt, Trifacta, Spark), • Expertise managing enterprise level implementation of cloud data solutions such as Snowflake, Databricks, etc, • Experience with data modeling, batch data pipeline design and implementation, • Experience building batch or real-time data pipelines, • Strong software development skills with high proficiency in Python/PySpark or Scala, • High Proficiency in SQL, • Experience in cloud-based infrastructures such as Azure, AWS, or GCP, • Experience with orchestration platforms such as Airflow or Astronomer, • Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team, • Comfortable with CI/CD Pipelines (e.g., GitHub Actions], • Experience with Git version control, and other software adjacent tools, • Understanding of the complexities of marketing data and their application to measurement methodologies including reporting, Media Mix Modeling, and optimization tools, • Experience in the development and roll-out of automation solutions (including AI-based solutions where relevant), • Evidence of exceptional media analytics practices and leadership, including documentation of best practices across processes to validate/test data, remediate data quality issues, and reduce delivery bottlenecks, • Desire to innovative to drive efficiency in operations., • Demonstrated project management and organization skills, • Ability to work and thrive in an interdisciplinary and collaborative work environment, • Experience working across complex international agency structures, • Team management, including managing and mentoring team members. Reviews, performance issues, timely reviews/feedback, active work distribution and fair rotations, • Strong listening skills: believes good thinking can come from anyone and any place. Salary: 125 - 150k. Commensurate with experience. Compensation is determined on the skills, qualifications, certifications, tenure in the industry and experience of the applicant along with the requirements of the position. CROSSMEDIA BENEFITS Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including: • Flexibility to work in hybrid manner with in-office and work from home options (depending on role)., • Open/Flexible PTO with US & UK specific policies, • Sponsored healthcare options and agency-wide physical & mental health support, • 401k with company match (USA), and generous Pension (UK), • Paid sabbatical at significant milestone anniversaries, • Generous paid parental leave policy, • Life milestone recognition & support, • The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development), • Cell phone/tech reimbursement, • Student Loan payment plan (US), • Tuition reimbursement, • Learning & Development and training programs, • And burgers – lots and lots of burgers COMMITMENT TO DIVERSITY AND INCLUSION Diversity is in our DNA. As a minority-owned company, our commitment to an inclusive environment has long been embedded into agency practices and at every level. Almost one third of senior leadership identifies as a person of color and over half of our executive leadership are women. We have active mentoring & internship programs that create opportunities for underrepresented groups. Internal agency programming is anchored by XMEquity365, a permanent, year-round initiative fostering acknowledgement and support of marginalized communities within five pillars – Excellence, Voices, Education, Giving & Representation. Crossmedia is committed to providing equal employment opportunities and creating a diverse and inclusive company culture and that does not discriminate against candidates and employees because of their disability, sex, race, gender identity, sexual orientation, religion, national origin, age, veteran status, or any other basis prohibited by applicable federal, state, or local law. All job requirements are subject to possible revision to reflect changes in the position requirements, business necessities and/or to reasonably accommodate individuals with disabilities. Essential and other job functions are subject to modification. This job description in no way states or implies that these are the only duties to which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with laws in the US and UK ). Continued employment remains on an "at-will" basis." Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions in compliance with the American with Disabilities Act of 1990 (US based) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job: • Prolonged periods of sitting at a desk and working on a computer. Must be able to remain in a stationary position 50% of the time., • Ability to stand, bend, and reach, • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.

Job Description Are you ready to join an amazing team and make a significant impact on the future of decision-making? Verneek is a deep-tech AI startup that is on a mission to build the most helpful AI experiences in the consumer space. We believe that AI can truly augment knowledge and provide valuable insights to everyone, anywhere, at any time. Join us and be at the cutting edge of the AI revolution! If you are tired of working on mundane projects and want to be part of a fast-paced startup where you can learn, innovate, and contribute every single day, Verneek is the perfect opportunity for you. As a fullstack engineer, you will play a crucial role in building complex AI and NLP models to support our AI platform. At Verneek, you will have the opportunity to work on unique, complex, and socially impactful problems. As an early-stage startup, there are no legacy obstacles holding us back, and your contributions will have a direct impact on the success of the company. RESPONSIBILITIES MINIMUM QUALIFICATIONS • 3+ years of experience in building high-performance applications, • Strong proficiency in TypeScript, • Strong proficiency in React, • Strong proficiency in NextJS, • Portfolio of prior projects with a complex backend, • 4+ years of experience in designing, implementing, and maintaining complex software, • Good grasp of computer science fundamentals, including algorithms Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship Salary range: 80K-140K About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: .. We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact.

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

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

Job DescriptionHead of AI Engineering • Location: NYC, • In-office 3-4 days per week In 2024, over 10,000 private companies pursued an exit via the platform, leading to over 1,000,000 platform connections, 75,000+ signed NDAs, and hundreds of millions of dollars in successfully closed transactions (). About the Role We are hiring a Head of AI Engineering to lead the planning, architecting and incorporation of AI, ML and related advanced technologies into our products and customer experiences. Our current algorithmically-driven marketplace approach is effective but insufficient. Our research makes us confident that there is significant user experience and commercial upside by incorporating and matching against real-time deal data, bidding data and other rich data sets we have gathered via platform usage and 3rd party aggregation. We are searching for a technically excellent leader who can lead the creation of ML and AI capabilities at Axial, collaborate with the existing team, expand the team over time, and ship AI-centered roadmaps that materially upgrades the marketplace experience. What You'll Take On • Design, develop, and deploy ML/AI-driven models to enhance our matching engine, communication tools, industry classification systems, and more., • Establish AI best practices and lay the groundwork for all AI / ML development at Axial., • Collaborate with product managers, engineers, and business stakeholders to define and execute AI strategies aligned with company objectives., • Optimize AI and machine learning models for speed, accuracy, and scalability, ensuring reliable integration into Axial's platform., • Develop and refine recommendation systems, applying NLP, deep learning, and predictive analytics to improve buyer-seller matchmaking., • Automate data processing pipelines and ensure smooth integration of AI models into production (MLOps)., • Explore and implement cutting-edge AI tools and frameworks to continuously enhance our platform., • Create clear documentation and visualizations to communicate insights and recommendations to technical and non-technical audiences.Who We're Looking For, • 5+ years of experience using AI/ML and related technologies to improve consumer or B2B software experiences., • Strong expertise in machine learning, deep learning, NLP, and recommendation systems., • Knowledge of MLOps, model deployment, and CI/CD workflows for AI systems., • Familiarity with SQL and data warehouses (e.g., AWS Redshift) for AI-driven analytics., • Strong problem-solving skills with the ability to work independently in a fast-paced environment., • Credible interest in building and leading machine learning capabilities in this end market.Our stack, • Python (FastAPI), Postgres (RDS), • Angular 18+, Typescript, • Terraform, AWS EC2/EKS, OpenTelemetry, Grafana/Prometheus/Loki/Tempo We are a team of ~50 employees with a product and engineering team nearing 20 that is split among three squads. We have a senior, tightly-knit engineering team, where you will have the opportunity to have a direct impact on the product and the company. We use a "lite scrum" process, including daily stand-ups at 10am, bi-weekly sprints, sprint demos and retrospectives. Since much of our team is fully remote, we use Shortcut to track our work through the development cycle. Below are the values we believe in and that we practice as a company, so if you connect w/ these, you may enjoy working here: • Obsess Over Member Trust: Your daily choices reflect your awareness that we facilitate vital life-altering transactions. You consistently take this responsibility seriously and it's top of mind., • Expect and Deliver Excellence: You pursue consistent high performance so that your colleagues feel confident partnering and relying on you. You demonstrate a personal commitment to continuous improvement and you inspire it in others., • Communication Matters: You are concise and articulate in your communication, external or internal. You listen actively and genuinely and ask good questions., • Invent and Simplify: You are open-minded AND opinionated, looking for great new ideas that can elevate and even transform the member experience. You find novel ways to simplify complex status quos., • Be an Owner: You think about the long-term effects of your decisions. You take full responsibility for your work product. You invest real time in building genuine relationships with your teammates. NY Pay Range$275,000—$375,000 USD

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We are seeking and experienced Staff Engineer – Data Platform and Lakehouse to lead the design and implementation of our cloud-native Data Platform that support AI, advanced analytics, and machine learning applications in our ecosystem of B2B SaaS applications in the FinTech vertical You’ll work with a diverse team of talented engineers, AI and ML scientists, and product managers to build our next generation data and AI platforms, support migration of products from legacy infrastructure, and help product engineering teams leverage the Data platform and Lakehouse to launch new products and build new genAI applications. As a company that specializes in data-driven insights, the reliability, scalability, and effectiveness of our data & AI platforms are integral to our product offerings. This role requires deep technical expertise, strategic thinking, and strong collaboration across engineering, data science, and product teams. Responsibilities: • Design and implement scalable, secure, and maintainable data platforms on Databricks and AWS cloud infrastructure., • Provide architectural leadership across engineering domains, ensuring consistency, scalability, and resilience, • Architect distributed data processing systems using Apache Spark and optimize for performance and scalability., • Lead development of reusable data pipelines and workflows using Databricks Workflows., • Translate business objectives into platform capabilities in collaboration with Product Managers and cross-functional teams., • Support AI/ML initiatives through robust data engineering, including feature engineering, model deployment., • Champion best practices in ETL/ELT, data quality, monitoring, observability, and Agile development., • Drive adoption of data governance standards: access control, metadata management, lineage, and compliance., • Establish and maintain CI/CD pipelines and DevOps automation for data infrastructure. Desired Skills and Expertise: • 15+ years of experience in software development, covering the full SDLC: ideation, design, development, testing, deployment, and support., • Strategic mindset, capable of aligning technical decisions with business goals and driving architectural vision., • Excellent collaboration and communication skills across functions, including data scientists, MLOps engineers, and product managers., • Advanced proficiency in Python and SQL, with a strong foundation in software engineering principles., • Extensive experience with distributed computing frameworks, particularly Apache Spark, including performance tuning and scalability., • Required hands-on experience with Databricks, including Unity Catalog, Feature Store, and Delta Live Tables., • Proficiency in data pipeline orchestration tools using Databricks Workflows, Airflow, or AWS Glue; Databricks required., • Strong command of data engineering best practices and tools, including ETL/ELT design, data quality validation, monitoring, and observability. Experience with Monte Carlo preferred., • Proven ability to build scalable, cloud-native data architectures on Databricks, AWS, Azure, or GCP; Databricks required., • Experience enabling AI/ML workloads including feature engineering, model deployment, and real-time processing., • Strong understanding of data governance and security, including access control, data lineage, compliance, and metadata management. Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description Company: The mission of Well () is to transform healthcare through our unique impact to our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product -- a consumer health engagement platform -- integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. Position Title: Senior Machine Learning Engineer Reporting To: Senior Manager, Data Science Location: New York, NY Compensation Information: Senior Machine Learning Engineer $160,000-$180,000, based on qualifications, plus bonus potential Position Summary: The overall goal is to engage our members to drive better health outcomes. Our modeling and optimization platform (the Health Engine) contributes directly to our product through machine learning, statistics, analysis, and computation. The next member of our team will drive ML projects from beginning to end: frame business questions, collect and analyze data, research, prototype models, build/deploy pipelines, and share insights. They will work collaboratively within a team aiming to make a positive impact on the organization and on our members' overall health. Our primary ML task is retrieving information, either information relevant to what was searched for, or retrieving information to recommend to the user. We're looking for someone who is experienced in implementing information retrieval models. This candidate is excited about the field and stays current on the latest development. The ideal candidate will be able to work off of and contribute to our libraries. The ideal candidate can work on any part of the ML lifecycle – data gathering and processing, model development, performance evaluation, model deployment, performance monitoring. This candidate needs to be experienced working in a production environment in a team setting. We also expect this candidate to pitch in on tasks outside of the focus area. The ideal candidate has strong command of Python and SQL. Key Responsibilities: • Implement and optimize information retrieval models for search and recommendation tasks., • Stay current with the latest developments and advancements in the field of machine learning and information retrieval., • Leverage and utilize a wide range of disparate data sources across our ecosystem and within healthcare (app, claims, EHR, wearables)., • Engage in all stages of the ML lifecycle: Data gathering and preprocessing, model development and performance evaluation, model deployment and performance monitoring., • Contribute to and build upon existing internal ML libraries., • Take on additional tasks and contribute to areas outside of the primary focus when needed., • Provide ML expertise within the team and across the organization., • 4+ years of work/industry experience in data science or machine learning roles, • Advanced degree (MS or PhD) in a quantitative field. Strong grasp and theoretical understanding of machine learning, • Demonstrated experience using Python for machine learning (pytorch, huggingface, scikit-learn, sentence-transformers, xgboost, polars/duckdb, lancedb, langchain), • Proficient with SQL and databases, • Expertise using Unix/OSX from the command line, version control (Git), and general software development best practices for contributing to a collaborative code base, • Experience executing analyses in the cloud (GCP, AWS) Well is on a mission to redefine the healthcare experience. This is an opportunity to re-shape healthcare for America. We are developing solutions to improve the quality and affordability of healthcare. We welcome team members who are passionate about that mission. We embrace diversity and are committed to building an inclusive team. Well is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. We seek diversity and encourage individuals from underrepresented groups to apply.

Job Description Only local candidates can apply. Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Excellent communication and collaboration skills.

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. About the Role: As a Forward Deployed Engineer at LILT, you will be a critical link between our core engineering teams and our most complex and strategic customers. You'll be on the front lines, working directly with a handful of complex clients to understand their unique needs, integrate LILT's platform into their existing workflows, troubleshoot technical challenges, and provide expert guidance. This role requires a strong technical foundation, business acumen, excellent communication and problem-solving skills, and a passion for customer success. You will thrive in a dynamic environment, embracing the opportunity to travel and work collaboratively with diverse teams. Responsibilities: * Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization. * Solution Design and Implementation: Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes. * On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers. * On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform. * Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution. * Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows. * Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams. * Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives. * Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally. Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 4+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer. * Strong AI knowledge including an: * Understanding of how LLMs are trained and how inference works * Understanding of batch learning, on-line learning and context windows and how to use them to improve customer value * Understanding of the trade-offs of inference speed, learnings, model sizes and costs * Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements * Understanding or demonstrated experiencing using MCP to build agentic workflows * Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives. * Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP). * Proficiency in at least one programming or scripting language (e.g., Python, JavaScript). * Experience with enterprise software deployments and integrations. * Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues. * Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences. * Strong customer-centric mindset with a passion for ensuring client success. * Ability to work independently and manage multiple priorities in a fast-paced environment. * Experience with translation management systems (TMS) or localization workflows is a plus. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus. * Fluency in multiple languages is a plus. What We Offer: * Competitive salary and benefits package. * Opportunity to work with cutting-edge AI technology in a rapidly growing industry. * A dynamic and collaborative work environment. * Significant opportunities for professional growth and development. * The chance to make a real impact on global communication and business. Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $100K - $175K

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

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity We're seeking an accomplished Staff Machine Learning Infrastructure Engineer to join StubHub's Data Engineering & Analytics team as a high-impact individual contributor focused on machine learning infrastructure and real-time inference systems. You'll architect and build the foundational ML platforms that power recommendation systems, pricing optimization, and personalization across StubHub's product. As a Staff-level IC, you'll operate as a technical force multiplier, setting technical direction for ML infrastructure across the organization. You'll lead through influence rather than management, advocating for long-term technical progress while balancing organizational needs. Your work will span strategic initiatives measured in months and years, focusing on high-leverage technical decisions that enable entire teams to be more effective. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA Strategic NeedWe have increasing needs to scale our machine learning capabilities to power personalized experiences, dynamic pricing, and intelligent recommendations across our platform. Our current ML infrastructure requires modernization to support real-time inference at scale, improve feature engineering workflows, and enable faster model deployment and iteration cycles. Additionally, we need to create the foundational data model along with the corresponding data pipelines, and build shared tooling to ease the process of developing and operating high quality trustworthy data assets. What You'll Do As a Staff Enginner focused on ML Infrastructure, you'll work across four key dimensions: Setting Technical Direction • Architect ML infrastructure strategy that aligns technical approaches across Data Science, ML Engineering, and Platform teams, • Drive consensus on technical vision for feature stores, inference services, and model lifecycle management, • Advocate for long-term technical progress while balancing immediate organizational needs, • Prototype and investigate ambiguous, high-impact ML infrastructure problems, • Build production-grade inference services with sub-100ms latency, intelligent caching, and 99.9% uptime SLAs, • Design model lifecycle management systems including versioning, A/B testing, rollback capabilities, and performance monitoring, • Modernize recommendation systems from legacy SQS-based architecture to scalable, real-time streaming solutions, • Provide engineering perspective in high-level organizational discussions about ML strategy, • Mentor engineers across the platform, actively sponsoring promising team members, • Inject technical context into critical decision-making processes, • Connect different team efforts to ensure ML infrastructure initiatives succeed, • Handle behind-the-scenes work that keeps critical ML projects moving forward, • Expedite high-priority ML infrastructure needs across the organization, • Ensure important strategic work gets completed even when it spans team boundaries What You've Done • 8+ years of relevant software or data engineering development experience in a fast-paced, high growth environment, • 3+ years of experience with machine learning infrastructure, MLOps, or ML platform engineering, • Proven track record of setting technical direction and leading complex, multi-team initiatives, • Strong programming and analytical ability with expertise in Python, Scala, or Java, and infrastructure-as-code, • Experience with feature store services and how they interoperate between batch and live inference systems, • Experience with live inference services including caching, SLAs, and performance optimization for production ML workloads, • Experience with model lifecycle management including versioning, A/B testing, and rollback capabilities, • Experience with streaming systems (Spark, Kafka) and how they relate to overarching ML platform architecture, • Experience with cloud-based ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML, • Technical leadership through influence rather than formal management authority, • Strategic thinking with ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Experience with real-time recommendation systems and personalization platforms at scale, • Knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, Seldon, etc.), • Experience with A/B testing frameworks and experimentation platforms, • Experience with distributed computing frameworks (Ray, Dask, etc.), • Knowledge of ML security and privacy considerations, • Track record of technical writing or speaking at conferences about ML infrastructure What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit Overview As a Lead Solutions Engineer, you would oversee integrations with advertisers, exchanges, and ecosystem partners using InMobi's products to develop innovative solutions and overcome technical obstacles presented by customers. You would be responsible for guaranteeing the technical aspects of the assigned integrations (both new and ongoing) by providing necessary requirements and technical guidance. You will actively shape the business with your technical expertise, customer focus, and passion using InMobi advertising solutions. *This role is in-person and on-site in our New York, NY office and is not open to remote locations. The Impact You'll Make • Partner directly with advertisers, DSPs, and internal teams to provide technical guidance pre- and post-sales., • Drive adoption of our audiences, curation partners and reseller platforms, • Troubleshoot and resolve technical issues in programmatic deals, ensuring smooth campaign delivery., • Act as the technical liaison between Regional Sales, Product, and Engineering teams to align customer needs with product capabilities., • Manage customer product integrations and deployments across multiple stakeholders., • Translate advertiser and market feedback into actionable insights for Product and Engineering teams., • Stay on top of programmatic ecosystem trends to be a trusted advisor for clients and partners.Experience / Skills, • 10+ years of experience in ad tech or digital advertising, with deep knowledge of programmatic supply & demand ecosystems., • 5+ years in a client-facing technical role (solutions engineering, sales engineering, or technical account management)., • Strong understanding of private marketplace deals, programmatic direct, DSPs, and deal troubleshooting., • Hands-on experience with audience management, data onboarding and data clean rooms., • Strong problem-solving skills with the ability to operate in ambiguity and drive clear outcomes., • Passion for customer success, with proven ability to balance technical depth and business impact., • Working knowledge of APIs, data flows, and basic querying (SQL, scripting) to support debugging and solutioning. InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi is a trusted and transparent technology partner for marketers, content creators, and businesses of all kinds. Incorporated in Singapore, InMobi maintains a large presence in San Mateo, CA, and Bangalore and has operations in New York, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London and Dubai. To learn more, visit inmobi.com. Our Purpose InMobi creates transformative mobile experiences and software platforms to positively impact people, businesses, and societies around the world. We believe that our innovations at the intersection of artificial intelligence, commerce, and the creator economy will revolutionize the way consumers use their mobile devices. Our mission is to power our customers' growth with innovative content and commerce experiences that help them activate their audiences and drive real connections. How do we do it? • An End-to-End Content, Monetization, & Marketing Platform the fuels industry growth, • AI-Powered Audience Activation for the open content, media, and marketing ecosystem *Our ranges may vary based on the final location and region of the role in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units (RSUs). We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock aids us to treat our employer company as our own and base our decisions on such a company's best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our benefits: • Competitive salary and RSU grant (where applicable), • High quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch provided in our offices daily, • Pet friendly work environment and robust pet insurance policy - because we love our animals!, • LinkedIn Learning on demand for personal and professional development InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #LI-BM1 The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit to better understand our benefits, values, and more!

Job DescriptionAI Systems Engineer Title: AI Systems Engineer Location: FULLY remote! Salary: $175k-$250k base + RSUs + Full Benefits Requirements: 3+ years of Systems Engineering/DevOps/AI Infrastructure, AI, Python/Golang/Rust, and HPC experience Our HPC infrastructure goes beyond just the GPU - allowing companies to train, iterate, and deploy AI & ML projects faster than ever! We specialize in high-performance GPU cloud solutions tailored for AI & ML projects and cutting-edge infrastructure (including GPU clusters, high-speed networking, and scalable storage) to support demanding workloads. Our services are designed to optimize performance, reliability, and affordability for AI researchers, ML engineers, and enterprises. We're currently experiencing MASSIVE GROWTH... Our revenue grew over 95% in the last YEAR! We have made several acquisitions and formed several partnerships during this period of growth, and we need YOUR HELP to keep it going... We're currently seeking a talented and highly motivated AI Systems Engineer to design, build, and optimize the infrastructure that powers AI-driven applications. You'll work at the intersection of hardware, software, and data - enabling efficient deployment of AI models and solutions at scale. The ideal candidates have a strong background in systems engineering, high-performance computing, software defined networking, and general software development, with some experience in machine learning and deploying/maintaining AI systems in production. What You'll be Doing • AI Infrastructure Design and Development:, • Design and implement scalable AI/ML infrastructure., • Optimize AI pipelines for performance and reliability., • Integrate AI models using CI/CD best practices., • Model Deployment and Optimization:, • Deploy AI models in various environments (cloud, edge, on-premises)., • Optimize inference performance for latency, throughput, and energy efficiency., • Use tools like TensorRT and ONNX to accelerate models., • Systems Engineering:, • Maintain HPC clusters, GPUs, and distributed systems., • Develop tools for system monitoring and troubleshooting., • Ensure AI system reliability through proactive maintenance., • Collaboration and Cross-Functional Work:, • Align AI systems with overall product architecture., • Support AI researchers with efficient data pipelines and computing environments., • Security and Compliance:, • Ensure compliance with security standards and data privacy regulations., • Secure sensitive data and models in production., • Emerging Technology Integration:, • Stay updated with AI and machine learning advancements., • 5+ years of Systems Engineering, DevOps, or AI/ML Infrastructure experience, • 2+ years of experience in High Performance Computing, • Experience building cloud computing platforms (from scratch is a huge plus), • Hands-on experience with AI frameworks (TensorFlow, PyTorch, etc.), • Experience deploying AI/ML models in production environments, • Strong knowledge of distributed systems & HPC for AI workloads, • Experience with containerization & orchestration tools (Docker, Kubernetes, etc.), • Programming skills in Golang, Python, or Rust, • Familiarity with AI platform tools (Mosaic AI, Run.AI, SageMaker, Vetex AI, etc.), • Familiarity with Infiniband and/or RoCEv2 networking, & NCCL, • Proficiency in using AI hardware accelerators (GPUs, TPUs, etc), • $175k - $250k/year DOE, • RSU's, • 5 weeks PTO, • 401k w/ match, • Comprehensive Benefit Plan - For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 08/05/2025 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please contact a member of our Human Resources team to make arrangements.

Job Description We at Continua have built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're onto something. You can try adding 903-320-4371 to group texts to kick its tires! We've seen extremely rapid growth over the last month, and are looking for someone who can help us improve the quality of our user experience and scale to the next level. Who you are: You're an experienced machine learning engineer with broad knowledge and skills in natural language processing (NLP) and LLMs. Or a software engineer who excels at the frontend or backend (or both). Or maybe you're a product manager who loves to help engineering teams build. Whatever you're best at, we'd love to meet you! A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! Our team is currently based in Seattle, WA and New York, NY. Our opportunities are mostly on-site at our offices, 3 days per week. To apply: To be considered for a future opening, please submit your application at the link below. We welcome referrals! If you know someone exceptional, please email us at .

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. About Engineering at LILT Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. Where You’ll Work This position can be based out of our Indianapolis, IN or Berlin, Germany office and will be expected to work in the office in a hybrid capacity. Additional locations include the Boston, New York, Washington DC metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations. Authorization to work in the US and/or Berlin is a precondition of employment. What You’ll Do As a Staff Full Stack Software Engineering - Connect, you will work with a group of talented, mission-driven colleagues to define, drive, and execute projects on Lilt’s Connect API and connectors platform–the front door to our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. Connect is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities. You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows. Skills & Experience * Bachelor of Science or Masters of Science in Computer Science (Masters preferred) * 7+ years of professional experience as a Fullstack engineer * Experience leading an engineering team in a technical capacity (e.g. not a manager of people) * Experience working on large-scale, distributed software systems * Proficient with backend technologies such as Python and Java * Experience with React or other associated libraries, JavaScript, CSS, and HTML * Solid relational database knowledge and significant experience with very large MySQL installations are highly valued * Basic knowledge of NLP and machine learning techniques is highly valued * Professional fluency in English Benefits: * Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays * Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability * Paid parental leave is provided after 6 months. * Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $136K - $180K

Job Description About CyberCube: * The market leader in digital analytics 📊 with the mission of delivering the world’s leading cyber risk analytics 🌐 on one of the most critical risks of today and the future. * Exceptionally well-funded startup 💰 that has raised over $100MM from top-tier investors. * Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate. * CyberCube and its products consistently earn industry recognition 🏆, including awards like Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025. * Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers. * At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar. * Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️ * Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview! 🎥 We’re looking to hire a Lead Software Engineer in the Data Strategy and Collection team at CyberCube. This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings. The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry. The Impact You Will Make: * Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives * Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management. * Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals * Deliver on key objectives and quarterly development goals across 3+ products The Skills and Experience You Will Bring: * 5+ years of experience in building large-scale data collection systems * Deep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP * Highly proficient in SQL and Python, strong fundamentals in data structures, algorithms, and base Python paradigms, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learning such as Pandas, NumPy, Scikit-learn etc. * Experience with AWS technologies for computation, orchestration, and storage * Experience with designing, deploying, and maintaining microservice applications * Excellent oral and written communication skills * Experience working in and leading project teams * Ability to work in an agile, fast-paced startup environment * Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely * Ability to think creatively and implement a plan to address bugs and urgent product issues promptly * Aptitude for time-sensitive analysis and troubleshooting tasks Primary Responsibilities: * Manage a team of data specialists * Maintain, monitor, and apply design updates to existing data collection systems * Develop and continually update technical documentation * Perform code reviews and suggest opportunities for improvements * Deliver high-quality data analysis and present findings to cross-functional teams * Collaborate effectively with an organization that prides strong interdisciplinary teamwork among members * Execute with speed and rigor within an efficient and multi-faceted startup environment AI Fluency: AI plays a critical role in how we scale data operations and drive product innovation across the company. This role contributes to a broader company-wide focus on expanding AI usage to improve efficiency, quality, and insight generation. You’ll be expected to apply AI tools to streamline processes and explore new ways to unlock value through automation and analysis. We look for candidates who show curiosity and strategic thinking in how they apply AI in their work, and we assess this as a key capability during hiring. Why You'll Love it Here: * Play an instrumental role in reshaping one of the oldest industries in the world * Competitive salary and unlimited PTO * Meaningful early-stage equity * Generous healthcare benefits with medical, dental and vision coverage * Monthly catered lunches and happy hours * Company-paid learning and development assistance * Flexible working hours and ability to work remotely * Opportunity to participate in a secondment program * Dependent care assistance plan * Company-supported mentorship program * Grow in a collaborative, respectful, and empathetic culture #LI-Remote #LI-Hybrid Compensation Range: $160K - $176K

Job DescriptionAbout LILT AI is changing how the world communicates — and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality. At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI. The Engineering Team at LILT LILT is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. Where You’ll Work This position can be based out of our Emeryville, CA or Indianapolis, IN offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations. You must be located in, or near a Hub to be considered* Authorization to work in the US is a precondition of employment. What you’ll do As a Senior Backend Engineer, you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on Lilt’s core platform–the heart of our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. This is a high-visibility, high-impact role with enormous growth opportunities. You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows. Key Responsibilities * Collaborate with engineering and infrastructure teams to design, build and improve our platform’s backend systems, file filters and data stores to help us scale our services effectively. * Apply your engineering experience to implement new platform features to drive growth, partnering with product and engineering teams to help decompose huge business requirements into smaller deliverables. * Actively mentor peers and Lilt’s community on advanced technical issues, helping them grow their careers. * Strive to raise the technical excellence bar, contributing to code quality, doing code reviews, increasing test coverage, etc. Skills and Experience * 5+ years of software development experience with several general purpose programming languages including Java and Python. * 2+ years of experience leading a major software component. * Proven ability to drive large-scale engineering efforts to completion and demonstrated knowledge of industry trends and best practices for scaling cloud-based services. * Excellent written and verbal communication skills Nice to Have * 3+ years of experience with Okapi framework and file filters: XLIFF, XLIFF2, XML, JSON, Markdown, TTX filters, etc. Benefits * Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays * Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability * Paid parental leave is provided after 6 months. * Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born. LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI. With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning. Our Tech What sets our platform apart: * Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent * Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing * 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation * Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review LILT in the News * Featured in The Software Report’s Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at . LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Compensation Range: $100K - $150K

Job DescriptionFounded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR fxUNqxPx8q

Job Description Senior Full Stack Software Engineer NYC Data Science Innovation Center – Investment Management They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer (Full Stack) at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is working to develop the firm's next generation data distribution platform, with the aim to seamlessly deliver real-time and on-demand investments data to a global network of distributed trading and research platforms. They are employing new paradigms such as cloud computing, lightweight microservices, and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve their clients. • Design, develop, modify, adapt and implement short- and long-term solutions to information technology needs through new and existing applications, systems, databases and applications infrastructure., • Review and interpret system requirements and business processes., • Code, test, debug and implement software solutions., • Requires in-depth knowledge and expertise in their own job discipline and working knowledge of related disciplines., • Leads projects or work streams within broader projects., • Accountable for work of self and sometimes others, provides process and standards advice in area of specialty., • Works independently, receives minimal guidance., • Acts as a resource for colleagues with less experience. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. Responsibilities: • Contributes to all parts of the SDLC, e.g., design, development, and testing, • Develops technical solutions following standard methodologies with some guidance from senior engineers, • Practices automated testing and tests your work in an automated and repeatable way, • Identifies and remediates technical debt, • Works with existing data models and schemas and suggests changes and improvements where necessary, • Demonstrates strong logic and reasoning capabilities, • Delivers on well-specified work items Business Knowledge: • Able to work directly with business stakeholders, • Decisions show a focus on current and future business priorities, together with fiscal responsibility, • Can articulate business needs and translate them into technology solutions Required: • Typically a BS or MS degree in Computer Science or a related technical field of study and 5+ Years of progressive professional development experience with an Object-Oriented language (Java, Python, C#), • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred, • Solid understanding of cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience working in a dynamic, fast-paced, Agile team environment, • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator; able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • Stays current with many best-of-breed technologies, • Shows a commitment to quality by implementing suitable software using unit/integration and acceptance testing at the time of feature development, • Debugs large components with limited assistance and assists other engineers with debugging, • At some levels, leads code reviews and actively participates in providing feedback on others' designs/code, • Performs as an expert in one or more parts of the software lifecycle (e.g., coding, testing, deployment). Oversee significant pieces of development within the development lifecycle, • Designs and develops practical APIs and abstractions., • Experience with React and/or Angular Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and hybrid remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program), • Paid time off for vacation, illness, medical appointments, and volunteering days, • Family care resources, including fertility and adoption benefits

Job Description Software Engineer NYC Data Science Innovation Center – Investment Management (HYBRID REMOTE OPPORTUNITY) They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer at a prominent Investment Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Core Attributes: • Craftsman-like approach to building software; takes pride in engineering excellence and instills these values in others, • Demonstrable passion for technology (e.g., personal projects, open-source involvement) while using their problem-solving capabilities to deliver solutions utilizing a top end engineering approach, • Focused on delivering value to the business with relentless efforts to improve process, • Exceptional technology skills; recognized by your peers as an expert in your domain, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches, • Strong analytical ability, true problem solvers, • High achiever who combines ambition with humility and is happy to let their performance do the talking Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented Programming (Java, Python, Scala), • Solid understanding and experience with cloud native architectures (AWS, etc.) for containerized microservices and real-time systems, • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred Required Domain Experience and Soft Skills: • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • A solid understanding of financial markets and instruments is a plus Required Education: • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800 billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $148,000 - $253,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program)

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Senior Machine Learning Engineer Target Total Compensation: $300,000 - $435,000, including a fixed annual salary of $200,000 - $285,000, employee equity grant, and world-class benefits. As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more. What You’ll Do • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. About You: • Masters or PhD in Machine Learning, • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring, • Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment., • Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description Software Engineer NYC Data Science Innovation Center – Investment Management They are creating groundbreaking, next-generation Data Science, Predictive Analytics and Machine Learning applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices and data sciences! You will play a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will be working on developing (Object-Oriented Technologies) the firm's next generation data distribution and analytics platform, with the aim to seamlessly deliver real-time and on-demand investment data to a global network of distributed trading and research platforms. J Harlan Group is currently conducting a search for a Software Engineer at a prominent Asset Manager in their NYC Data Science Technology Development Center (TDC). The TDC is expanding their Data Science Technology Innovation Center team where they are creating groundbreaking, next generation Data Science, Predicative Analytics and Machine Learning technologies. This role is eligible for remote work up to three days a week. The TDC is developing the firm's next-generation applications for n-tier cloud architectures employing new paradigms such as cloud computing, lightweight microservices, data sciences and distributed and non-relational databases to deliver elastically scalable, globally distributed and highly resilient software services. Technologists at this organization are playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. They're looking for experienced Software Developers / Engineers to join their new Technology Development Center in Manhattan. They want technologists with a fresh perspective who are passionate about solving complex business, data, and technical challenges. You'll work with smart, talented people across our business to create groundbreaking, next-generation applications for n-tier cloud architectures. You'll be involved, hands-on, through the entire development cycle. And you'll redefine the way our traders, portfolio managers and analysts serve our clients. This is a “hands-on”, full development lifecycle role that provides an opportunity to solve complex business, data, and technical challenges. As a key contributor throughout the entire development cycle, you will be required to think outside the box and bring cutting edge technology in-house. The ideal candidate would have a background: Core Attributes: • Craftsman-like approach to building software; takes pride in engineering excellence and instills these values in others, • Demonstrable passion for technology (e.g., personal projects, open-source involvement) while using their problem-solving capabilities to deliver solutions utilizing a top end engineering approach, • Focused on delivering value to the business with relentless efforts to improve process, • Exceptional technology skills; recognized by your peers as an expert in your domain, • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review or pairing, unit testing, refactoring and related approaches Required Technical Experience: • Professional Object-Oriented development experience - 2+ Years of professional development experience with an Object-Oriented language (Java, Python, C#), • Experience with React and/or Angular helpful, • Experience with automated delivery pipelines, agile delivery and test-driven development, • In-depth knowledge of software design patterns, • Experience with AI and Machine Learning application development preferred, • Solid understanding of cloud native architectures (AWS, etc.) for containerized microservices and real-time systems Required Domain Experience and Soft Skills: • Experience working in a dynamic, fast-paced, Agile team environment Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business leaders, • Confident communicator: able to argue a point concisely and deal positively with conflicting views, • Enthusiasm for learning & results oriented, • A solid understanding of financial markets and instruments is a plus Required Education: • Strong academic record and a BA/BS degree with high mathematical and computing content (e.g. Computer Science or Engineering or a related technical field) An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the services/ products they deliver. An individual with a passion for application development, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class services. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a publicly owned global asset management firm with $800+ billion dollars of AUM. The firm offers funds, advisory services, account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The salary range is $115,500 - $197,000 plus employees may also be eligible for annual discretionary incentive compensation. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Work Flexibility: This role is eligible for remote work up to three days a week. Benefits: The firm invests in their people through a wide range of programs and benefits, including: • Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions, • Flexible and remote work opportunities, • Health care benefits (medical, dental, vision), • Tuition assistance, • Wellness programs (fitness reimbursement, Employee Assistance Program)

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

Job DescriptionDescription: About Guideline At Guideline, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Job Description We are seeking a Lead AI/Machine Learning Engineer to architect, build, and scale our AI foundations. This role will define technical direction, mentor a growing team, and deliver advanced ML solutions—ranging from forecasting and classification models to LLM and agentic AI systems. The Lead will balance hands-on engineering with strategic vision, ensuring our AI initiatives drive measurable business impact. Key Responsibilities · Define and drive the technical roadmap for AI/ML initiatives, ensuring scalability, efficiency, and alignment with business strategy. · Lead the design, training, and deployment of advanced AI/ML systems spanning LLM-based pipelines, ML-driven forecasting, classification, recommendation engines, and entity resolution/NER. · Build and optimize foundational data infrastructure, including cloud-native data lakes, pipelines, and MLOps tooling that enable production-grade AI. · Mentor and guide a growing team of engineers, fostering best practices in software engineering, data engineering, and applied ML. · Introduce and implement AI-driven developer productivity and efficiency tools that accelerate team delivery. · Partner with Product, Data Science, and Business stakeholders to identify opportunities for AI to enhance decision-making, automation, and client value. · Act as a change agent for AI adoption, ensuring technical solutions are understood, adopted, and scaled across the organization. Compensation & Benefits We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: · 5-8 years of hands-on software engineering and machine learning experience, with at least 2+ years in a senior or lead role. · Bachelor’s degree in Computer Science, Data Science, or related field (Master’s preferred). · Deep expertise in Python, modern ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn), and cloud platforms (AWS, GCP, Azure). · Demonstrated hands on experience developing LLM-driven and agentic AI solutions. · Experience applying ML techniques to real-world problems, including time-series forecasting, clustering, classification, nearest-neighbor methods, and NLP/NER. · Experience building and deploying data pipelines and architectures (Snowflake, Databricks, dbt, Kafka, Airflow). · Strong foundations in software engineering, including CI/CD, versioning, testing, and code quality. · Ability to balance technical depth with business impact, aligning ML initiatives with measurable outcomes. · Proven experience mentoring engineers and shaping technical direction for a team. · Excellent communication skills, with the ability to simplify complex technical concepts for diverse audiences.

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

Join our team as a Senior Software Engineer and contribute to the development of cutting-edge software solutions, potentially working on projects that involve AI or machine learning components. Contribute to the design and architecture of software components. Mentor junior engineers and share techni

Meta), formerly known as Facebook Inc. Learn more about benefits at Meta. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position: We are seeking a mid-senior level Software Engineer with 5-10 years of professional experience in backend development with Python (using FastAPI, Flask, or similar frameworks), AWS (particularly Lambda functions), and frontend development (React, JavaScript, CSS/HTML). This person will primarily be focused on OneTrack AiOn, our agentic AI platform that automates engineering, analysis, HR, and compliances processes in logistics operations. You will be hands on building agentic products that work in the real world interacting with tens of thousands of people every single day. • 2-5 years of professional experience in software engineering., • Strong proficiency in Python and experience with backend frameworks such as FastAPI or Flask., • Demonstrated experience building agentic systems on top of foundation models, • Strong experience in prompt engineering, tool design, and RAG, • Experience with AWS services, particularly Lambda functions., • Experience with SQL-like databases, • Proficiency in frontend development with React, JavaScript, CSS/HTML., • Solid understanding of software development principles, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD) practices., • Excellent analytical and problem-solving skills., • Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members., • Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Preferred Skills: • Experience with Docker and Kubernetes., • Experience with data visualization tools and libraries., • Understanding of machine learning concepts and AI applications., • Knowledge of security best practices in software development. Note: This is a company that works harder than anyone else. We grind. We don't stop. This is not for everyone. If you want to be at the forefront of making AI run operations in the real world and solve complicated problems at scale with a lot at stake and a ton of responsibility, this is for you. If you are easily overwhelmed, don't have the confidence to own complex projects, or need others to delegate tasks and responsibilities to, this is not for you. • Base salary + bonus & stock options eligibility, • Health insurance, dental, vision, PTO days, • Flexible working hours and remote work options, • Opportunities for professional growth and development, • A collaborative and innovative work environment

US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We're a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000's fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. Job Description: We’re looking for an AI/ML Engineer who will develop, optimize, and scale machine learning models that power our next generation of user experiences. Working closely with product, engineering, and design, you’ll ensure our ML tools truly address user needs—whether they’re discovering new features, troubleshooting connectivity, or receiving proactive solutions to common issues. The role is based out of our New York office. \n Key Responsibilities: • Design & Deploy Conversational / Multi-Agent LLM Solutions, • Craft multi-agent conversational flows capable of handling a wide range of user requests—both purely informational and action-oriented., • Employ advanced LLM techniques (prompt engineering, context retrieval, multi-step reasoning) to ensure robust, context-aware dialogues, • Multi-Modal & Multi-Model Integration, • Explore different input/output formats (e.g., text, potential voice or image-based flows) to enrich user interactions, • Evaluate different models based on their intended use case, considering both technical capabilities and cost efficiency, • Platform & Pipeline Building, • Work with cross-functional teams to design data pipelines that feed your models real-time or near real-time data, • Implement best practices around model lifecycle management—versioning, containerization, deployment orchestration, etc, • Optimization & Scale, • Ensure the chat system can handle thousands (eventually millions) of concurrent interactions, maintaining low latency and high availability, • Monitor performance, define metrics (latency, user success rate, fallback rate, etc.), and iteratively improve, • Ongoing Innovation & Experimentation, • Remain current on the rapidly evolving AI/ML landscape, especially in generative models, multi-agent orchestration, and knowledge retrieval, • Propose new ways to extend AI across our platform—e.g., advanced personalization, proactive customer engagements, etc. Qualifications: • Core AI/ML Expertise, • 3+ years hands-on experience building and deploying machine learning solutions at scale, • Solid understanding of NLP techniques, including transformer models and embeddings, with hands-on experience using modern tools like Hugging Face, AWS Bedrock, and OpenAI’s API, • Backend & Data Infrastructure, • Proficient in Python or a similar language for data pipelines and model development, • Experience with cloud platforms (AWS strongly preferred), containerization (Docker, Kubernetes), and microservices, • Research & Problem-Solving Mindset, • Up-to-date on AI/ML trends—especially in multi-agent systems, generative modeling, or multi-modal approaches, • Skilled at diagnosing bottlenecks, scaling solutions, and balancing innovation against real-world constraints, • Collaboration & Communication, • Comfortable presenting complex ML concepts to non-technical stakeholders, • Passion for iterative development—able to pivot based on user feedback and product metrics. Bonus Points: • Familiarity with vector search solutions (e.g. Pinecone, Weaviate, or Elasticsearch with vector plugins), • Familiarity with building or deploying large language models and related tooling in the AWS Bedrock ecosystem, • Experience designing or contributing to multi-agent LLM frameworks or orchestrations (e.g., specialized agent-based approaches in advanced NLP) Benefits: • Competitive salary - $180k-240k (NYC based), • Gym reimbursement, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • Metrocard reimbursement, • Flexible working hours \n$180,000 - $240,000 a year\n Think you’d be a great fit? Apply to learn more!