Operations engineer jobs in North Hempstead, NY - 2,095 jobs

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2026. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. What you'll do Responsibilities Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving, and launching machine learning models. Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively. Who you are A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2025 or spring/summer 2026. Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn. Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders. A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. Preferred qualifications Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning. Published and presented peer-reviewed articles in top-tier venues. Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects. Familiarity with navigating new codebases and managing work across different programming languages. Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Application requirements Please submit the following with your application: A description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work) Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual US base salary range for this role is $180,000 - $270,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. #J-18808-Ljbffr

At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale. The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large‑scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert‑level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $195,000 - $215,000 P4: $230,000 - $250,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision & Mission Our vision is to unlock a labor market built on trust. Our mission is to build confidence in every compensation decision. Equal Employment Opportunity As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. #J-18808-Ljbffr

**About The Role**The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future-state vision for AI & ML by identifying high-impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications.**What You Will Do*** Lead or contribute to **transformation initiatives**, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement.* Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations.* Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value.* Collaborate across **design, quality, manufacturing, test, and supplier engineering** to drive solutions that integrate seamlessly into production.* Define and implement **new systems, processes, or frameworks** that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics.* Define the organizational, data, and process changes required to prepare the business for AI/ML integration.* Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories.* Apply AI/ML techniques to analyze manufacturing data sets - including metrology, vision inspection, event data, test results - conduct regression analysis, correlation studies, and commonality analysis.* Leverage **deep, data-rich environments** and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput.* Apply **advanced statistical and analytical methods** (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments.* Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for mathematical computing.* Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives.* Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth. Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions.* Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders.* Use predictive analytics to inform **PFMEA analyses** that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction.**What You Bring**The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.* Advanced degree in Engineering, Computer Science, Data Science, or a related field.* 10-15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management).* Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.* Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.* Track record of driving measurable improvements in yield, reliability, or process robustness.* Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.).* Experience with applying **AI/ML toolsets** to statistical problem solving, predictive analytics, or anomaly detection* Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making.* Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions.* Proven ability to drive organizational changes in data-driven transformations.* Advanced skills in mathematical computing with at least one programming language (e.g. Python, R, Java, or equivalents), and the ability to learn technical methods and tools independently.* Advanced skills in data visualization / presentation skills, including the ability to simplify results & statistical concepts into simple and actionable insights.* Excellent communication skills with the ability to engage at both executive and technical levels.* Ability to convert complex (often data driven) topics to clear overviews and insights.* Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.* Growth mindset: believes in continuous learning by dedication of time, effort, and energy.* Takes independent initiative to complete projects with a sense of urgency.Nice to Haves* MBA or exposure to business, finance or economics is advantageous.* Fluency with continuous improvement / lean programs.ZT Systems assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $141,000 and $ 188,000 annually. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, generous 401k match, tuition reimbursement, wellbeing resources, and more.We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this opportunity but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.#ZTMFG2025! #LI-DH1**#ZTMFGPri2025!** ## **About ZT Systems**At ZT Systems, you'll get to do work you are proud of alongside smart, passionate people. Every day, there are opportunities to collaborate with the best in the industry to design, build, and deliver impactful solutions to world-class customers. Along the way, you will gain hands-on experience in a face-paced environment that's challenging, rewarding, and career-defining.A culture built around our values we work hard and think fast. We view challenges as opportunities-to do better, push harder, and be faster than we were the day before. When we fail, we learn from it and move on together. And when we succeed, we use the momentum to go even further. We create value with everything we do, building the foundation of today-and transforming the future of tomorrow.Join ZT Systems and help us build technology infrastructure that connects the world.**What We Offer** At ZT Systems, we believe that investing in our people is key to our continued growth and innovation. When you join our team, you'll gain access to a comprehensive and inclusive benefits package designed to support your well-being, financial security, and professional development-both now and in the future.**Compensation & Financial Security**-Competitive base salary-Performance-based annual bonus eligibility-401(k) retirement savings plan with generous company match-Tuition reimbursement for eligible education programs**Health & Wellness**-Comprehensive medical, dental, #J-18808-Ljbffr

Region: Americas Country: USA State/Province: New Hampshire City: Remote Employee US **Job Title:** Staff Engineer, Program / Project Management **Functional Area:** Engineering (ENG) **Career Stream:** Program / Project Management (EPM) **Role:** Staff Engineer (SEN) **Job Code:** SEN-ENG-EPM **Job Band:** 10 **Direct/Indirect Indicator:** Indirect **Summary** The Project/Program Manager is accountable for planning and directing design engineers and other technical engineers working on specific projects. They manage the development, implementation, and evaluation of complex designs. They are responsible for managing large projects with complex scope, multiple streams of work and inter-dependencies. **Detailed Description** **Performs tasks such as, but not limited to, the following:** + Manage two or more projects of medium to high complexity in A&D market segment (technology, organizationally). Lead cross-functional, global core team(s), kick off programs, establish schedules and drive meetings + Present and communicate status to the business leaders and customers. Reviews and interprets customer documentation. + Implement change as directed in the product lifecycle process and recommends process improvements + Plan the overall program and monitor the progress. Drive the creation, review, approval and update of the Program Plan/WBS including resources. + Daily program management throughout the program life. You will be the go-to person for everything involving a project's organization and timeline + Drive the program core team to meet or exceed program objectives (Cost, Quality, Schedule, Features, Fulfillment/Continuity of Supply, Solution delivery across products & service offerings, Customer Specific Needs) + Define the program governance (controls) + Manage the program's budget. Forecast actuals against plan/quote for income/revenue, cost/labour & expense + Manage risks and issues, taking corrective measurements + Provide leadership and technical recommendations to help move projects forward (incl. Escalation and reporting to Management team) - particularly in times of impasse, ambiguity, or conflict + Coordinate the projects and their interdependencies. Manage and utilize resources across projects + Engage, collaborate and coordinate with customers and other Celestica teams across different geographies + Align the deliverables (outputs) to the program's "outcome" with the aid of the business change manager + Manage & maintain the main program documentation, such as the Program Initiation document **Knowledge/Skills/Competencies** + Project Management specific tools, software & methodologies (incl: Project plan creation, establish and distribute project roles, and communicate effectively what is needed in order to make the project successful. Risk management, Change management, Negotiation, Business case generation...) + Specific knowledge in the A&D market and technologies preferred + Strong interpersonal skills (leadership and communication) + Effective written and verbal communication at all organizational levels and have the ability to rapidly establish a broad network + Possess a positive, can-do attitude and a collaborative nature **Physical Demands** + Duties of this position are performed in a normal office environment. + Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. + Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. + Occasional travel may be required (up to 25%) **Typical Experience** + Minimum of 5 years experience leading product development or manufacturing projects. + Candidates with experience in a technical or highly regulated industry (e.g.,A&D, Healthtech or Manufacturing) will be given preference **Typical Education** Bachelor / Master Degree Engineering PMP Certified as an advantage Educational Requirements may vary by Geography **Salary Range** The salary range described in this posting is an estimate by the Company, and may change based on several factors, including by not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate. Salary Range: $107-147k Annually **Notes** This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.

ALLSIDES is redefining how the world experiences 3D content. Focus on deep-tech with offices in Italy and New York, we combine physically accurate scanning and generative AI to power new content creation workflows for e-commerce, virtual environments, and immersive experiences. Our clients include global brands like adidas, Meta, Inditex, Amazon, Zalando, Nike and more. As a research-driven startup, we operate at the forefront of 3D machine learning and visual computing. Using our own scanners, we've built one of the world's largest datasets of photorealistic, relightable 3D assets with accurate ground truth-capturing at production scale (tens of thousands annually) while simultaneously training next-generation AI models. Meta uses our scanning technology for their HOT3D dataset (ECCV 2024). We collaborate with Prof. Cremers at TU München, Prof. Rother at Heidelberg University's Computer Vision Lab, and are advised by Prof. Pietro Perona from Caltech. As a research-driven startup and NVIDIA Inception member, we operate at the forefront of 3D machine learning and visual computing. More info about us and our technology here spotlight at NVIDIA A.I. ***************************************************** Position Overview We are looking for a 3D Machine Learning Engineer with deep expertise in neural rendering, inverse rendering, and generative 3D methods. You will develop learning-based systems that recover high-fidelity geometry and physically-based materials from captured imagery-pushing the boundaries on relighting, material decomposition, and generative reconstruction. This role sits at the intersection of deep learning and graphics. If you want to ship neural 3D systems at production scale while advancing the state of the art, this is for you. Key Responsibilities Build and optimize neural inverse rendering models for geometry and material estimation. Develop relighting and appearance decomposition pipelines using differentiable rendering techniques. Explore generative reconstruction approaches: diffusion-based 3D, feed-forward reconstruction networks, neural scene representations. Tackle challenging scenarios: specular and transparent surfaces, thin structures, complex BRDFs. Write clean, production-ready code and iterate on model quality and inference speed. Work with rendering specialists and system developers to integrate learned components into the pipeline. Engage with enterprise clients to gather requirements and iterate on capabilities. Stay current with CVPR, SIGGRAPH, and related research; identify methods to bring into production. Qualifications Required Master's degree in Computer Science, Computer Vision, Computer Graphics, or a related field. 3+ years of industry experience, preferably in deep-tech or applied ML. Proven track record in neural 3D: NeRF variants, Gaussian splatting, neural inverse rendering, or material decomposition. Experience with differentiable rendering frameworks (Mitsuba, nvdiffrast, PyTorch3D, or similar). Solid understanding of physically-based rendering fundamentals. Proficiency in Python and PyTorch. Demonstrated ability to take models from research to production. Nice to have Experience with generative 3D models (diffusion-based reconstruction, latent 3D representations). Background in classical computer vision: SfM, multi-view geometry, mesh processing. Experience with C++ in performance-critical pipelines. Familiarity with CUDA and GPU optimization. Experience with TensorRT, ONNX, or MLOps practices for model deployment. Published research or open-source contributions in neural rendering or 3D ML. Competitive salary package including stock options. Amazing office space in the Italian Dolomites. Personal and professional growth: own critical parts of our pipeline and help us scale. Flexible working hours and work-from-home policy (1 day/week). Participate in CVPR, SIGGRAPH, and AI/startup conferences globally. Relocation assistance and visa sponsorship. FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). You don't have to tick every box to apply, your drive and passion matter most! If you're curious, motivated, and ready to learn, send your application to ********************* with your CV (PDF). #J-18808-Ljbffr

We're assisting a well-funded startup with their search for Product Engineers. Their product is a redeveloped go-to-market workflow that allows sales teams to find warm leads in a more efficient way. This role will be a hybrid role, working onsite Tuesday-Thursday in either their SF or NYC office. They're hiring multiple engineers in this capacity. What you'll do You will own a large scope and be shipping features that makes our customers more successful and the product a delight to use. You will work both across our frontend and backend and own shipping new features end-to-end. Shape both our product roadmap and engineering foundation working with a highly collaborative product, design and engineering team Build new products using the latest tech such as LLMs, React, TypeScript, Vercel, Prisma (PostgreSQL), Temporal, and more. What you'll bring 1+ years of experience in full-stack software engineering with experience shipping lots of features to respected SaaS products Has shipped significant product features in past roles Previous experience as an early startup employee (founder, founding team), an engineer at a reputable and rapidly growing scale up, or as a rapidly promoted engineer at a large tech company Frontend experience (Typescript, React) Backend experience (Node) You are customer-obsessed, creative and hungry. You have experience working closely with customers and quickly shipping features and improvements to help them. Strong interest in building an AI/LLM centric product/features #J-18808-Ljbffr

Join our mission We're proud to work with many incredible companies, accelerating their ability to build their products. We've spent years watching talented engineering teams lose momentum to the same frustrating bottleneck: waiting. Waiting for CI to finish. Waiting for builds to complete. Waiting for tests to run. After experiencing this pain firsthand at companies of every size, we set out to build the developer infrastructure platform we'd always wanted to use. Something that would seamlessly integrate with our workflows and the tools teams already love-but make everything dramatically faster and more cost-effective. Today, we're already accelerating hundreds of companies around the world, helping them ship features instead of waiting for infrastructure. We've built something that feels almost magical in its simplicity: change your runs‑on line, mount your toolchain cache directory and suddenly your builds are 5x faster. About the role Namespace's approach is low-friction, designed for immediate integration into existing developer toolchains, empowering teams to experience tangible results within just five minutes. With an end‑to‑end stack optimized for high performance-including compute, memory, storage, and networking-Namespace delivers capabilities and efficiencies unmatched by traditional cloud providers. As the Product Engineering Lead for Namespace in the US, you'll establish the US presence for Namespace. Apart from building a high performing team, you'll also lead technical decisions and develop products that significantly enhance developer productivity. You'll build intuitive, performant user‑facing applications and integrations that seamlessly fit into developers' existing workflows, directly impacting their ability to ship faster and more efficiently. What you'll do Serve as the first technical leader for our US presence, setting a high bar for engineering quality, product thinking, and execution Start, build, and lead a small product engineering team in the US Partner closely with product, design, and leadership to translate company goals into clear technical direction and execution plans Act as a bridge between the team in Europe, users, product strategy, and engineering, ensuring we build the right things and build them well Help shape the long‑term technical and organizational foundations for scaling product engineering Own and ship end‑to‑end features that integrate seamlessly with popular developer tools Develop user‑facing applications that make powerful infrastructure intuitive and accessible to developers Collaborate directly with users and partners to deeply understand their workflows, pain points, and product needs Continuously iterate on product design and implementation to drive adoption, performance, and reliability What we're looking for Leadership and management skills to lead high performing ICs Strong software engineering fundamentals, with experience building production‑grade software in languages like TypeScript/JavaScript (React), Go, Python, or similar Proven track record shipping impactful product features, preferably for developer‑focused or infrastructure products Customer‑centric mindset with the ability to translate complex technical solutions into intuitive user experiences Enthusiasm for continuous learning and a collaborative approach to product development You can expect: Competitive salary and stock options Flexible working hours Market‑leading parental leave Life at Namespace Labs: We pride ourselves in being a small team of experts that can achieve a lot. We balance our long‑term vision with short‑term pragmatism. We believe in being fully transparent internally on how decisions are made, on how the company is doing, and we use that information to drive our decisions. #J-18808-Ljbffr

Adobe is seeking as UNIX Administrator with excellent technical, process and automation skills to be part of High-Performance Cloud Operations Team. As an Infrastructure Administrator, this person is responsible for the daily administration of Linux Service Engineer, Production, Engineer, Monitoring, Application, Service, Technology, Transportation

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is seeking an Intelligent Transportation System/Traffic Engineer to join our transportation team in New York. The ITS/Traffic Engineer will involve a range of responsibilities focused on improving safety and operations. You will have the opportunity to work alongside senior program managers, project managers, and engineers to lead the delivery for programs and projects in the New York City area as well as other projects throughout the country. This role is in the Global Mobility Business Area. We partner with our clients across the globe to design thriving and connected cities and communities that enable opportunity for all and keep the world moving. Climate change, urbanization and digitization trends are requiring today's mobility projects and systems to address an evolving set of demands from the world's growing population. We design connected, sustainable solutions that integrate existing infrastructure with new technologies, and optimize the mobility of people and goods. Role accountabilities: Work on transportation projects that include Intelligent Transportation System (ITS), Transportation Systems Management and Operations (TSMO), and traffic engineering with a focus on improving safety and operations. Coordinate with Senior Engineers and Managers to develop scope, schedule, and budget for projects and programs. Create technical results and recommendations for clients. Coordinate with a wide range of subject matter experts including survey, roadway design, and environmental to successfully deliver client projects. Assist team and other engineers in developing technical approaches and review technical alternatives. Assist in the preparation of traffic engineering plans for signal designs, signing and marking designs, conceptual designs for intersections, and/or Intelligent Transportation System (ITS) designs. Undertake training and guidance to increase knowledge in areas of technical proficiency. Key Skills: Understanding of the use of traffic analysis tools including VISSIM, Sidra, Synchro/SimTraffic, and HCS Understanding of the application of traffic operations principles including ITE, MUTCD, AASHTO, and state DOT requirements, policies, manuals and procedures Experience/familiarity with Microstation, Bentley OpenRoads and/or AutoCAD Operational or maintenance practices within ITS, TSMO, or Traffic Qualifications & Experience: Required Qualifications: 2+ years of relevant work experience Bachelor's Degree in Civil, Electrical Engineering or similar field Must have EIT Must possess a U.S. Driver's License Experience in operational and/or safety analysis. Experience with standard CAD software such as Microstation or AutoCAD Preferred Qualifications: * Experience with signal, ITS, and/or signing and marking design. * Experience with public sector clients and projects. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $72,232 - $125,000. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-HYBRID #Mobility-NA #Mobility-ANA-Jobs #Traffic-ANA #LI-HA1

A growing tech company in Chicago is seeking a versatile Product Engineer to own projects from start to finish. The ideal candidate is comfortable with a wide range of tasks and will collaborate closely with product teams to implement features. This role offers a fast-paced environment, automated tooling, and opportunities to influence product design. Benefits include competitive salary, unlimited PTO, and a strong commitment to diversity. #J-18808-Ljbffr

Zora is a new kind of on-chain social network where you can express yourself freely, connect with others, and discover the value of your imagination. We believe that by using crypto, we can enable a more equitable system for creators, fundamentally rediscovering the power of the internet. About The Role: We're looking for an experienced protocol engineer to join our Trade team, building the experiences that power hundreds of millions in on-chain volume on Zora. In this role, you'll be responsible for designing, implementing, and maintaining the core smart contracts contributing to the evolution of Zora's protocol layer. You'll build protocol components for onchain trading/market infrastructure on Zora with creator markets, Uniswap integration, and various vesting and rewards contracts, with safety and UX constraints aligning with Zora's needs What You'll Do: Contribute to the Zora protocol by designing and implementing smart contracts Handle maintenance, security review, and full protocol lifecycle Write adversarial tests (fuzzing, invariant/property-based testing) and maintain a security-first mindset in development and review Partner with auditors and respond to findings; drive fixes through deployment Participate in RFC and code review process with a security and reusability mindset Collaborate across engineering teams to integrate smart contracts across the stack Communicate status, updates, blockers, etc., to cross-functional stakeholders What We're Looking For: 4+ years of experience shipping production-level contracts or protocol features Experience with DeFi protocols Deep understanding of EVM Familiarity with Git, Foundry, Hardhat and modern solidity toolchains Experience with formal/invariant thinking, MEV considerations, upgrade safety, and incident response Comfort moving across the stack when needed (TypeScript / React / Next / Python) High degree of ownership and autonomy Strong communication and collaboration skills, across both technical and non-technical teams Here's the Pay Range: At Zora, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: Pay Range: $200,000 - $300,000 base salary + equity + tokens This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Zora will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process. Zora is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation. Why Join Us? US-based, full-time employees are eligible for the following: Remote-First Culture:Work from anywhere in the world! Competitive Compensation:Including salary, pre-IPO stock options, token compensation, and additional financial incentives Comprehensive Benefits:Robust healthcare options, including fully covered medical, dental, and vision for employees Retirement Contributions:Up to 4% employer match on your 401(k) contributions Health & Wellness:Free memberships to One Medical, Teladoc, and Health Advocate Unlimited Time Off:Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness Home Office Reimbursement:To cover home office items, monthly home internet, and monthly cell phone (if applicable) Ease of Life Reimbursement:To cover everything from an Uber home in the rain, childcare, or meal delivery Career Development:Access to mentorship, training, and opportunities to grow your career Inclusive Environment:A culture dedicated to diversity, equity, inclusion, and belonging Our Location: Zora is remote-first and international. Our headquarters are the internet and we have employees all over the world. We're currently in Los Angeles, New York, San Francisco, Sydney, Berlin, Lisbon, and Vancouver. Zora is a decentralized, on-chain social network where every post and profile is a tradable token, aiming to create a new creator economy. It allows creators to monetize their content directly by turning posts into unique, tradable ERC-20 tokens, which can be bought, sold, and collected. #J-18808-Ljbffr

New York, New York - 3 days/week hybrid $250,000-275,000 base salary + bonus + equity THE COMPANY Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies. THE ROLE You will be responsible for machine learning model building, development, deployment and scalability for the company's agentic AI product across HUNDREDS of hospitals You will report directly to the founding team and work closely on technical direction Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems Own CI/CD pipelines for MLOps / LLMOps You will play an integral role of building out the AI team and scaling out its product Act as a thought leader role for AI across the business, mentoring junior team members YOUR SKILLS AND EXPERIENCE The successful Principal Machine Learning Engineer will likely have the following skills and experience: 10+ years of commercial experience preferred with a focus on end-to-end building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems Experience working in a scaling startup is highly preferred Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel AI platforms with large datasets History of working with and managing real-time AI applications in production settings Cloud experience in AWS, Azure or GCP DevOps experience with CI/CD pipelines required History of working on models from concept to production / end-to-end / 0-1 Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar Containerization experience with Docker or Kubernetes Experience in settings wearing multiple hats Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred History of partnering with non-technical stakeholders required Experience owning projects directly preferred BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar THE BENEFITS A competitive base salary of $250,000-275,000 + benefits + equity HOW TO APPLY Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page. KEYWORDS Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant‑based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications Paid Vacation, Sick, & Holidays Monthly MetroCard Reimbursement 401(k) & Roth Retirement Savings Plan with company match up to 5% Work/Life Employee Assistance Program Company Paid Life and Short-Term Disability Coverage Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage #J-18808-Ljbffr

We're on a mission to change lives through better sight and hearing and we believe machine learning and AI are key to making that happen. That's why we're looking for a Machine Learning Engineer to join our growing AI & ML Engineering team. If you're excited by the idea of building intelligent solutions that make a real-world impact, this could be the role for you. This is your chance to work on some of the most exciting and forward-thinking projects in the business. You'll be designing and building machine learning models, developing generative AI solutions, and helping us shape the future of AI agents across a global organisation. From supply chain and marketing to clinical and in-store experiences, your work will touch every part of the Specsavers journey. You'll collaborate with data engineers, MLOps specialists, and product owners to bring ideas to life turning complex challenges into smart, scalable solutions. We're looking for someone who's hands‑on, curious, and ready to make a difference. You'll need strong experience in Python especially with the scikit learn ecosystem and MLFlow and be confident working with SQL to manipulate and cleanse large datasets. You'll have a solid understanding of both supervised and unsupervised machine learning techniques, and you'll know how to evaluate and deploy models in a cloud environment. Experience with AI APIs, pretrained open‑source models, and tools like Databricks or Azure Cognitive Services will be a big plus. If you've worked on end‑to‑end Gen AI solutions or have applied ML in retail or ecommerce settings, we definitely want to hear from you. You'll also need to be a great communicator able to explain complex technical ideas in a clear, compelling way to non‑technical stakeholders. And just as importantly, you'll bring a strong ethical mindset, a collaborative spirit, and a genuine enthusiasm for learning and innovation. So, are you ready to help us unlock the power of AI? If you're looking for a role where you can innovate, collaborate, and see the real-world impact of your work we'd love to hear from you. Join Specsavers and help us build a smarter, more connected future. #J-18808-Ljbffr

We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation's leading technology system integrators serving clients in corporate, education, healthcare and government industries. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Electronic Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Tampa and Washington DC. The AV Design Engineer will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs for new and current customers. Additionally, you will provide engineering support to our technical staff for design/build engagements. Responsibilities Lead the development of preliminary system design drawings, construction documents, equipment specifications and cost proposals. Work with our business units and end users to lead the technology design and discussion, analyze current client technology, listen to goals and challenges to help achieve desired outcomes. Create sales proposals in coordination with Estimating team for clients. Work with Program Manager and Project Team to verify system functionality through out implementation process. Develop and maintain knowledge of current and new technologies. Provide sales and technical staff with lessons learned on both a pre and post sales basis. Qualifications: Minimum 5 years working experience in the audio-visual or electronics field Preferred experience in the architectural or construction design space CTS and CTS-D certification preferred Proficiency in CAD and Microsoft Office Suite Ability to manage multiple tasks and priorities Ability to create architectural plans and modify architects' drawings to incorporate into systems. Excellent written and verbal communication skills with internal and external stakeholders TRITECH is an Equal Opportunity Employer

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A leading eyewear retailer is seeking a Machine Learning Engineer to join their AI & ML Engineering team. The role involves designing and building machine learning models, developing AI solutions, and collaborating with various teams to innovate across the organization's processes. The ideal candidate should have strong Python and SQL skills, a solid understanding of machine learning techniques, and a collaborative mindset. This is an exciting opportunity to make a real-world impact through AI application in retail. #J-18808-Ljbffr