Machining engineer jobs in Hoboken, NJ - 2,231 jobs

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? 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**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

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

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

As a Mechanical Engineer specializing in energetic devices, you will design, analyze, and prototype components such as actuators, igniters, and propulsion systems using advanced mechanical engineering principles. You will be responsible for performing mechanical stress, thermal, and dynamic analysis to ensure safety and optimal performance of these components. Your role will involve collaborating with chemists, electrical engineers, and systems engineers to integrate energetic systems into broader platforms, developing and executing tests and qualification procedures, and preparing technical drawings and specifications. Your designs must comply with regulatory, safety, and quality standards for handling and deployment of energetic materials. Responsibilities Design, analyze, and prototype energetic devices using mechanical engineering principles. Perform mechanical stress, thermal, and dynamic analysis on energetic components. Collaborate with chemists, electrical engineers, and systems engineers to integrate systems. Develop and execute tests and qualification procedures for energetic devices. Prepare and review technical drawings, specifications, and test reports. Ensure designs comply with regulatory, safety, and quality standards. Support failure analysis and root cause investigations for existing components or systems. Maintain knowledge of current technologies, materials, and best practices in energetics. Essential Skills Bachelor's degree in Mechanical Engineering or related field. 3+ years experience in mechanical design. Proficiency with CAD software (SolidWorks, CATIA, or similar). Experience with FEA and mechanical analysis tools. Strong understanding of materials science, thermodynamics, and dynamics. Knowledge of safety standards and regulations for energetic materials. Excellent problem-solving, documentation, and communication skills. Additional Skills & Qualifications Master's degree in Mechanical Engineering or related field. Prior experience with high-impact or high-acceleration testing. Familiarity with pyrotechnic initiators, pressure cartridges, or energetic actuators. Experience in cross-functional engineering teams. Job Type & Location This is a Contract position based out of Fairfield, NJ. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Fairfield,NJ. Application Deadline This position is anticipated to close on Feb 2, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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

Joining Arup Arup's purpose, shared values, and collaborative approach has set us apart for over 75 years, guiding how we shape a better world. The Opportunity We are looking for an Associate Principal, Mechanical Engineer / Project Manager to join our growing multi-disciplinary team in New York (or New Jersey with flexibility to support the NY market). You will lead mechanical design and coordination for a variety of projects, including healthcare, academic buildings, institutional and government buildings, museums, laboratories, commercial offices, and mission critical facilities. This strategic hire is part of our long-term growth plan and will help strengthen our market-facing capabilities in the region. You will be responsible for contributing to business development efforts, leading projects as a PM and mentoring junior staff. As a senior leader, you will help grow the office both in terms of staff and revenue. The current team has a wide range of experience and needs support and guidance. You will be supported by the wider Arup team in the region, giving you the opportunity to grow within the organization and rise in leadership. Being part of a wider multi-disciplinary team, you will collaborate across disciplines on challenging and meaningful projects. You will provide technical support, identify key staffing needs, and take responsibility for both the technical and financial success of your projects. With Arup's flexible working policy, we expect our leaders to lead by example-being visible and accessible in the office to support our junior team members and foster a culture of excellence. The opportunity: We are seeking a candidate who brings: 10-15 years of mechanical engineering design experience, ideally in complex MEP systems. Professional Engineer (PE) license, ideally in the State of New York Experience managing large-scale projects from start to finish, with exposure to full lifecycle delivery. A strong presence in the New York market, with familiarity with local codes, clients, and project delivery. Broad sector experience, including: Property (large-scale) Healthcare Central plant (preferred but not required) Data centers / SIT (a plus) Proven leadership and mentoring capabilities. Ability to settle into a senior role and build trust quickly. The skills: Minimum 10 years of related experience with a consistent record of mechanical system design for buildings, incorporating sustainability goals. Bachelor's Degree in Mechanical Engineering required. PE required; experienced engineer of record preferred. Experience negotiating contracts, terms, and conditions aligned with commercial objectives. Proven ability to identify and win new projects aligned with strategic goals. Strong client relationship management and business development skills. Experience preparing proposals and bid submissions. Ability to identify and mitigate technical, regulatory, and contractual risks. Focus on low-carbon and zero-energy design strategies. Financial acumen in monitoring budgets, expenses, and project performance. Implementation of quality control and risk management practices. Experience identifying staffing needs and participating in recruitment and hiring. Commitment to mentoring and career development of team members. Preferred Qualifications: NCEES certification. LEED Accreditation, WELL Certification, or ASHRAE BXCP Certification. LEED AP BD+C. The Benefits - What We Offer You Please note that all applicants must apply directly via the job portal. If this role is not quite what you are looking for, but you are interested in other opportunities for a future with purpose, please sign up to our Talent Community where you will be kept up to date with roles suitable for you to shape a better world. What we offer you At Arup, we care about each member's success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognizes the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive - through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup's legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts. Benefits at Work - At Arup, we have a comprehensive and valuable benefits program that works for our employees and their families while keeping costs low. These benefits provide health and welfare security for you as well as paid time off for rest and renewal. As a member of Arup, everyone shares in our success through a global profit share scheme (payments are dependent on the firm's financial performance). Our Global Profit Share Plan (paid bi-annually) provides an opportunity for you to share in the success of the Firm. As a valued employee of Arup, you can also choose to participate in our 401(k) plan with up to 10% company match to help you save for your future Flexible Working - We believe that flexible arrangements create a more inclusive way of working that supports our diversity and the wellbeing of our people. Options for alternative schedules and the ability to work outside of the office for a portion of your workweek are available New York / New Jersey Hiring Range - The good faith base salary hiring range for this job if performed in NY/NJ is $171,000 to $240,000 per year. This range is commensurate with experience, educational background, and skill level. Benefits are not included in the base salary. Please note hiring ranges for candidates performing work outside of NY/NJ will differ. Different People, Shared Values Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas - this drives our excellence. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion - we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at *************************************** Our Application Process We will be reviewing our candidates for this position on a rolling basis. Once you have applied you will be evaluated and potentially moved on to the next round, at which point a member of the talent resourcing team will reach out to you directly. Arup is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of a protected veteran, or disability. Stay safe online. Recruitment fraud is on the rise, and Arup's name, logo, and branding have been used in fraudulent job advertisements. Arup will never ask for bank information as part of our recruitment process. #LI-AR2

Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact to expand opportunities and achieve positive outcomes. The Investment Engineering team is responsible for developing Portfolio Management and Trading capabilities that support Apollo's complex and unique trading strategies. The team is closely embedded with portfolio managers, traders, and partners cross-functionally to enable the successful design and execution of critical infrastructure. This team is hiring a Head of Credit Engineering for its New York trading technology team, to lead the build-out of the next generation of credit trading strategies. This position will play a crucial role in guiding and coordinating the team's efforts to deliver high-quality software solutions to the trading desk and will be responsible for managing a team of developers and engineers and will report to the head of Investment Engineering. As the Head of Credit Engineering, you will lead the design, development, and deployment of quantitative, modeling, and credit infrastructure systems that enable underwriting, monitoring, and valuation across the credit platform. You will act as the technical anchor between investment, risk, portfolio, and operations teams, driving automation, analytics, and scalable engineering in support of credit decisions and portfolio management. Primary Responsibilities: Set technical vision and roadmap for credit analytics, underwriting, portfolio stress testing, scenario simulation, and monitoring systems. Lead, mentor, and grow a team of credit quants, data engineers, software engineers, and model validators. Oversee the development of cash flow/default/recovery models, scenario engines, and sensitivity analyses. Build and maintain data pipelines (ETL), integration with external sources (financial data, market data, third-party vendor inputs). Architect and scale systems for post-investment monitoring: covenant tracking, early-warning alerts, breach analytics, migrations, etc. Ensure system reliability, performance, maintainability, security, and auditability. Validate/benchmark/monitor internal and external models; ensure robust governance. Collaborate with credit/underwriting teams to translate business requirements into technical specs. Provide analytics/insights for portfolio teams: stress loss attribution, exposure/concentration metrics, scenario breakdowns. Present technology & model strategies to senior leadership, investment committees, and possibly investors. Oversee cross-functional integration: legal, compliance, operations, accounting, risk. Drive innovation: evaluate and integrate machine learning / AI / alternative data / advanced analytics where appropriate. Build and maintain relationships with senior executives to develop a clear understanding of business needs; ensure delivery of the credit engineering organization to meet needs and respond with agility to changing business priorities. Work with business sponsors, develop business case justifications and cost/benefit analyses for credit engineering spending and initiatives. Coordinate and facilitate consultation with stakeholders to define business and systems requirements for technology implementations. Attract, retain, and develop top talent. Build pipeline of talent within enterprise solutions technology including own succession options. Upskill the team on critical capabilities. Accelerate the development of high potential individuals by providing timely constructive feedback and mentorship. Encourage collaboration and engagement while continually upskilling the investment engineering organization. Ensure the culture is highly collaborative, inclusive, and accountable. Qualifications & Experience This individual must have high IQ and EQ and be viewed as an effective business partner by their respective business peers and across the Apollo leadership team. Strong technical prowess and the ability to flex between strategic and hands-on and be in the details with regards to technical acumen and depth. An "offense minded" leader; not focused purely on utility delivery and strong ability to balance playing offence with playing "defense." A forward-thinking change agent with a track record of leveraging emerging technology to improve workflow and drive the business forward. Experience managing a function with multiple interdependencies within a complex global organization. A high level of market sophistication and broad knowledge in private and public markets investing. Bachelor's degree required in relevant field (engineering, computer science, etc.). Master's degree preferred. 15+ years of experience (or equivalent senior technical leadership) in credit modeling, credit risk, structured finance, or quantitative engineering. Strong programming skills (Python, SQL, and at least one compiled language or well-engineered stack). Experience in data engineering, large-scale systems, distributed computing, pipeline design, APIs. Deep domain knowledge of credit, default/recovery modeling, scenario analysis, cash flow modeling, term structure, structural modeling. Experience in structured finance (e.g., ABS, CLO, SBLC, securitization) or alternative credit is a strong plus. Excellent communication skills; ability to present complex technical concepts to non-technical senior stakeholders. Familiarity with governance, validation, regulatory requirements related to credit modeling is desirable. Strong project management and delivery skills in ambiguous, fast-moving environments. Lead a team of full-stack developers, providing guidance, support, and mentorship to ensure the successful delivery of software to the desk. Usher software builds through requirements gathering, design, hands-on development, testing, and production deployment. Strong hands-on software experience in developing and a proven track record of delivering full-stack cloud-based applications. Demonstrated ability to build and deploy microservices in a scalable high throughput workflow. Experience with messaging systems across applications stack (e.g., Kafka). Experience with both server-side development (e.g., Python, Node.js) and JavaScript/TypeScript front-end development (e.g., Angular, React, Vue). Comfortable working in an agile software delivery environment with Git and with exposure to CI/CD tools (e.g., Docker, Jenkins, GitLab). Passion for clean, maintainable code and always looking to improve engineering skills in fast-paced, ambiguous environments Lead by example, fostering a collaborative and inclusive team environment, promoting knowledge sharing and encouraging professional growth and development. Pay Range $300,000 - $350,000 Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity. The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law. The contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered. The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.

A global entertainment leader is looking for a Director of Core Player Engineering to oversee the cohesive media player strategy across various devices including mobile and web. The successful candidate will possess at least 12 years of experience in engineering with a strong focus on media playback technologies. This role focuses on innovation and strategic direction to improve user experience and ensure high-quality streaming globally. Competitive salary and benefits are included. #J-18808-Ljbffr

Chronograph was founded to bring next-generation technology to private capital markets. Our cloud-based analytics and data management suite empowers top venture capital, private equity, and credit funds worldwide to analyze their investment performance in detail, with over $20 trillion of AUM monitored via our solution suite. At Chronograph, we have the unique opportunity to work with investors who are driving some of the most impactful changes in start-ups, global infrastructure, renewable energy, and growth equity. With backing from The Carlyle Group, Nasdaq Inc., and Summit Partners, Chronograph has grown rapidly since its inception in 2016. The Opportunity As a key member of our team, you will lead and deliver projects from concept to production; driving core technical direction while working closely with key stakeholders. Our engineering teams collaborate daily with product managers and designers to build exceptional software. An ideal candidate for this role will have both sharp technical skills and a keen product sensibility. You'll join a highly-driven team of engineers, contributing both as a technical leader and a hands-on full-stack developer. Our platform handles critical financial data, offering extensive workflow and data analysis tools along with an innovative data ingestion platform. This is an opportunity to make a real-world impact: you will tackle challenging technical problems and contribute to a platform relied upon by leaders in the private equity space. Even if you do not meet all criteria, we encourage you to apply! Chronograph offers an open and supportive environment where all are encouraged to grow and learn through their work. As a Tech Lead at Chronograph, you will: Own and lead technical projects from product ideation to successful execution, including: technical decisions, architectural designs, data structures, and development approach Collaborate with engineering, product, and design to architect high-performance and user-centric features to drive direct client impact among leaders in the private equity space Champion platform reliability and data integrity while maintaining development velocity, making thoughtful decisions that advance both technical quality and product outcomes Mentor and provide guidance to engineers across all levels, with opportunities to grow into direct people management, fostering a culture of continuous learning and developing future technical leaders Identify new technologies and best practices to promote a culture of continuous improvement You will be successful in this role if you have: At least 9 years of professional development experience, with a proven track record of leading complex technical projects Expertise in Typescript, Node, PostgreSQL and GraphQL, in particular schema and API design Fluency in frontend frameworks and patterns such as React and React Query Aptitude for navigating ambiguity and designing solutions that account for cross-system implications-spanning data models, validations, application logic and user workflows Excellent leadership and communication skills, with demonstrated ability to drive consensus across stakeholders and distill complex technical concepts for diverse audiences A track record of balancing technical solutions with business outcomes, making thoughtful tradeoffs that serve both immediate needs and long-term platform health Nice-to-haves: Background in building computation-heavy services where accuracy and performance are imperative Experience expanding complex data models to fit evolving application use cases Passionate about emerging tools that improve developer velocity, including AI-assisted coding Why Join Chronograph? We value creativity, open communication, and cutting edge technology - and we try to have fun along the way. We want you to be happy here for the long-term and will work with you to ensure you're achieving your career goals. We offer: Equity Participation Flexible work arrangements (including remote / in person / hybrid) 401(k) Unlimited and flexible vacation Company-wide team events at our Brooklyn, NY headquarters three times a year for all employees Fully-paid parental leave ...and more! Chronograph is committed to promoting a diverse and inclusive culture, and we welcome applicants from all backgrounds. If you're a team player who wants to have an outsized impact in a dynamic and diverse environment, we'd love to hear from you! Salary Range (dependent on experience) $185,000 - $245,000 USD #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

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Research team As an audio data research company, we believe model capabilities come from high quality, differentiated data. David AI's research team performs ambitious, long-term research into audio capabilities, while working with internal and external stakeholders to productionalize the latest research insights. About this role As a Founding Audio AI Research Engineer, you'll define the research agenda that shapes how the world's best AI labs train their audio models. You'll have a world‑class workforce of human AI trainers, compute resources, and independence to drive your roadmap. In this role, you will Define and build comprehensive evaluation frameworks for audio AI capabilities across speech, emotion, conversation dynamics, and acoustic patterns. Research and prototype novel approaches to audio quality assessment, automated labeling, and data collection optimization. Design targeted data collection pipelines for novel, high-value audio capabilities Architect automated systems for continuous classifier improvement and prompt engineering evaluation. Evaluate frontier models and create actionable research directions. Publish findings and papers in top conferences. Your background looks like 3+ years of experience in AI/ML research or engineering, preferably with multimodal models Proven ability to translate research insights into production systems and scalable solutions. Experience with Python and PyTorchExperience designing and conducting rigorous ML experiments and evaluations. Bonus points if you have PhD or Masters in Computer Science or a related field with a focus on ML or audio/speech. Published research work in top‑tier CS, AI and/or audio‑related conferences. Strong record of publication in evaluations or data, particularly for audio/speech. Experience in large scale data processing or high performance computing. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy**Lead Product Engineer (Full Stack), Materia AI page is loaded## Lead Product Engineer (Full Stack), Materia AIremote type: Hybridlocations: United States of America, Brooklyn, New Yorktime type: Full timeposted on: Posted Todayjob requisition id: JREQ197053**Lead Product Engineer (Full Stack), Materia AI** **Innovate in a Startup-Like Environment** Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You'll join a team of top engineers and AI developers, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Accounting team, formed from the recent acquisition of the startup Materia.**Create Impactful, AI-Driven Experiences** Lead full stack initiatives-from React interfaces to Python-based AI services and APIs. You'll architect and implement complete features that bring generative AI capabilities to life, alongside core product capabilities that streamline and modernize accounting workflows. Crafting both the user-facing experiences and the intelligent systems that power them, your work will shape how thousands of accounting professionals leverage AI and modern software in their everyday workflows. **Collaborate Across Functions** Work closely with product managers, designers, and AI specialists to deliver elegant, high-performance features. Your ability to translate complex requirements into complete solutions-beautiful interfaces backed by robust APIs and services-will be key to our product's success. **About the Role:** In this role as a Lead Product Engineer, you will: Develop Own complex, 6+ month projects from beginning to end, including ideation, working with cross-functional partners in product and UX, testing, launching, measuring impact, and iteration. Design, build, and maintain generative AI products such as Conversations, Accounting Research, Ready to Advise, and Workspaces Build engaging front-ends using Next.js, TypeScript, and Tailwind CSS Develop robust back-ends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration Identify bottlenecks and optimize for speed, scalability, and responsiveness across the full stack Collaborate & Lead Serve as a product leader for full stack projects through making prioritization decisions, scoping out timelines, guiding the work of product and backend engineers, and collaborating with cross-functional partners. Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns Set and enforce team-wide frameworks, best practices, code quality and best practices for both front-end and back-end development Champion UI/UX Excellence Apply strong design sensibilities to deliver polished, accessible, and user-centric interfaces. Proactively collect feedback from end users and internal stakeholders, and iterate accordingly **About You:** You are a fit for a Lead Product Engineer (Full Stack) if your background includes: Experience & Skills 7+ years building web applications at scale, with practical experience in both front-end and back-end development (we welcome engineers who are stronger in one area but capable in both) Passion for UI/UX and product design - enjoy refining details that matter to users Self-driven with a proactive approach to problem-solving and prioritization Experience building new products or features from 0 to 1 or from ideation to release Excellent debugging skills and an eye for performance optimization Strong leadership and cross-functional collaboration abilities Bonus Points Bachelor's degree in Computer Science, HCI, or related field Experience working in a startup or similar fast-paced setting. Experience building Chatbot interfaces or other AI-native products Familiarity with large language models (LLMs), AI agent design, and/or prompt engineering Opinionated about testing methodologies, A/B testing, and safe rollouts #LI-TH1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations #J-18808-Ljbffr

Posted April 16, 2025 San Francisco or NYC We're looking for a Lead Engineer to drive the future of AI-powered healthcare tools. At Health Universe, we're revolutionizing science and medicine by combining AI innovation with real-world clinical impact. We're building tools that empower clinicians to deliver better, faster, and more personalized care - and we're just getting started. We're well-funded, backed by top-tier VCs and seeking a Lead Fullstack Engineer to help shape the future of our AI Clinical Navigator Product. This role is perfect for someone who thrives in product-driven environments, loves prototyping, and is excited to work with cutting-edge LLM and rules-based systems in healthcare. Please note, this is a hybrid role (3 days on-site, 2 days remote). You'll Do As Lead Engineer of the Developer Products team, you'll be at the forefront of the tech that powers ML app deployment. You'll: Develop, and refine our React/Node.js web application and manage our cloud infrastructure. Support a UX that enables data scientists to easily launch applications on our platform. Swiftly drive feature ideation, creation and release. Champion data protection and security, ensuring our application complies with industry regulations. Troubleshoot and optimize application performance, maintaining our reputation for excellence and reliability. Share your expertise and passion through code reviews, helping to elevate our team and our technology. You'll Thrive in This Role If You Have Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5+ years of fullstack experience in TypeScript / Next.js or an equivalent framework. Familiarity with ML concepts, including libraries like OpenAI and LangChain. Strong problem-solving skills, an eye for detail, and a team-first mentality. Exceptional communication skills, with a knack for demystifying complex technical concepts. Bonus Points For Familiarity with the ML libraries such as LangChain, Torch, Tensorflow, and Scikit-Learn. Experience in healthcare, either in research or clinical settings is strongly desired. Proficiency in Docker or other containerization technologies. Familiarity with Agile development methodologies and fast-paced startup life. Why Join Health Universe? Build mission-critical infrastructure that powers AI in real clinical settings. Work alongside a passionate, talented, and mission-driven team. Help make key decisions as we grow in a high-ownership, high-impact role. Work on a mission that matters - and a product that will shape the future of medicine. Join early, take ownership, help shape the future of our platform and company. Ready to Build Something That Matters? If you're excited to bridge AI and healthcare through world-class integrations, we'd love to hear from you. Apply today to join us in building the infrastructure that will transform medicine for generations to come. Interested? Join the minds shaping the future of healthcare on Health Universe. Full Name Email LinkedIn Profile URL We're automating healthcare workflows with AI, so patients invariably get the highest standard of personalized care, clinicians are empowered to practice at the top of their licenses, and organizations are optimized to operate and innovate at the speed of light. Join the revolution. Secured by 256-bit AES/SSL/TLS encryption Disclaimer: This information is a limited summary of diagnosis, treatment, and/or medication information. It is not meant to be comprehensive and should be used as a tool to help understand and assess potential diagnostic and treatment options. It does NOT include all information about conditions, treatments, medications, side effects, or risks that may apply to a specific patient. It is not intended to be medical advice or a substitute for the medical advice, diagnosis, or treatment provided by a clinician based on a patient\'s specific and unique circumstances. Patients must speak with a clinician for complete information about their health, medical questions, and treatment options, including any risks or benefits regarding use of medications. This information does not endorse any treatments or medications as safe, effective, or approved for treating a specific patient. Health Universe disclaims any warranty or liability relating to this information or its use. Machine learning is powerful, but requires human oversight to be used safely. "Humans in charge, AI in the loop." #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

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

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