Manufacturing Engineer jobs at Honeywell - 1733 jobs

A leading analytics firm in Chicago is seeking a Machine Learning Platform Engineer to set up and manage data science environments. The ideal candidate has a Master's or PhD in a quantitative field, strong programming skills, and experience in MLOps. You will work cross-functionally to drive analytic solutions and may oversee projects from design to execution. This hybrid role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

Kodama Systems is a technology company transforming the forestry industry with teleoperation and supervised autonomy. With our retrofit control systems, machines can be driven from anywhere off project sites, improving safety, reducing costs, and addressing labor challenges across the $100B timber industry. Backed by leading investors and industry partners, Kodama's solutions offer timberland owners and logging contractors scalable, cost effective tools for forest management and wildfire mitigation. For more information, visit ************** The Position As a Senior Mechanical Engineer at Kodama you will own the design of custom hardware to outfit various forestry equipment for teleoperation and autonomy. You'll lean on past experience and work with our operations team to help debug complex robotic systems deployed in remote locations across North America. Kodama is a remote first early stage startup, so you will have a high degree of ownership and autonomy over the work you do. Location Remote Travel Up to 15% of your time going to company retreats and project sites Ideal Candidates Will Have Experience owning multiple mechanical designs from concept through deployment using the following processes: Sheet metal Weldments Machined parts Designed electrical enclosures Previously worked at a startup Around 5 years of post undergraduate experience Bonus Experience LIDAR Generous stock options. We're an early-stage company and we want you to benefit from being an early contributor. Flexible time off. Work hard and take time off when you need it. Stay healthy. Full health insurance benefits for you and your family. 401K savings plan Note - please attach a resume in either .pdf or .doc format. Due to the volume of inquiries, not all applicants will receive a response. #J-18808-Ljbffr

Voleon is a technology company that applies state‑of‑the‑art AI and machine learning techniques to real‑world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‑dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Site Reliability Engineer (SRE), you will work at the intersection of production operations and software development as you improve, manage, and monitor production‑critical infrastructure and data pipelines. At Voleon, many SREs serve together on a Production Operations team tasked with improving shared production infrastructure. Others are embedded with teams of software engineers to improve specific production systems owned by those teams. Voleon SREs work on important real‑world problems and collaborate with passionate and talented colleagues in an empowering, results‑driven environment. This role is a way to make a real difference: your contributions will make our critical systems more reliable, lower operational risk, and increase the efficiency of our engineering effort. Responsibilities Improve fault‑tolerance and maintainability of code in proprietary data pipelines and trading systems Diagnose and fix bugs in code Lead complex deployments Automate manual workflows Track and prioritize outstanding production‑related issues Share an on‑call rotation responding to incidents to ensure the continuous operation of production‑critical systems Requirements Experience with coding and debugging Python Experience with Linux Familiarity with Relational Databases & SQL Sharp analytical and problem‑solving skills and a persistent drive to make things work (better) Strong growth mindset and a passion for learning Strong technical communication skills Attention to detail 2 years of relevant industry experience An undergraduate degree or comparable training in a quantitative field or equivalent, relevant industry experience Preferred Qualifications Familiarity with best practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment Experience supporting production systems Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes The base salary for this position is $120,000 to $160,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. Friends of Voleon Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 - $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #J-18808-Ljbffr

Reports To: Operations Manager The Process Improvement Specialist is responsible for optimizing production processes within the precast concrete facility. This role focuses on identifying inefficiencies, implementing process enhancements, and supporting quality and safety improvements across manufacturing operations. Working closely with production teams, engineers, and supervisors, the specialist helps streamline workflows, reduce waste, and ensure consistent product quality. Key Responsibilities: Process Analysis & Optimization: Observe and analyze daily production activities (casting, curing, reinforcement, finishing, etc.) to identify bottlenecks and improvement opportunities. Data Collection & Reporting: Gather and track production data such as cycle times, material usage, downtime, and defect rates to support improvement projects. Continuous Improvement Projects: Assist in implementing Lean, 5S, or Six Sigma initiatives to improve plant efficiency, reduce waste, and enhance workplace organization. Standard Work & Documentation: Help develop and update standard operating procedures (SOPs), work instructions, and visual management tools. Quality & Safety Support: Collaborate with Quality Control and Safety teams to ensure process changes meet safety standards and product specifications. Technical Support: Support the introduction of new molds, equipment, or materials by conducting process trials and documenting results. Collaboration: Partner with maintenance, engineering, and production supervisors to troubleshoot recurring process issues. Qualifications: Education: Associate's degree or technical diploma in Manufacturing Technology, Industrial Engineering, or related field. Equivalent experience in precast concrete production or process improvement will be considered. Experience: 2+ years in a manufacturing or precast concrete environment. Familiarity with Lean Manufacturing, 6S, or Continuous Improvement principles. Skills: Strong mechanical aptitude and understanding of production equipment. Ability to collect and interpret process data (cycle times, scrap, yield, etc.). Proficiency in Microsoft Office and basic data entry tools. Good communication and problem-solving skills. Team-oriented and hands-on approach. Preferred Qualifications: Experience with precast or concrete manufacturing processes (casting, curing, form setup, reinforcement, finishing). Knowledge of quality systems such as NPCA or PCI standards. Basic CAD or technical drawing reading ability. Certification in Lean or Six Sigma or willingness to acquire. Performance Indicators: Reduction in process waste or rework rates. Increased production throughput and efficiency. Improved safety compliance and incident reduction. Consistency in meeting product quality standards. Implementation and sustainability of improvement projects.

About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Foundation Models for Biology You will play a pivotal role in designing, implementing, and scaling foundational AI models and infrastructure for multi-omics at massive scale. Your work will directly drive breakthroughs in scientific understanding and contribute to transformative applications in medicine and biology. Key Tasks Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability. Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes. Refactor and scale prototype research code into clean, maintainable, and performant repositories suitable for production-grade deployments. Create high-speed data processing workflows capable of efficiently handling large-scale datasets to accelerate experimentation and model development. Experimental design, prioritising high impact experiments with the highest signal:noise ratio. Expected Growth In 1 month you will be responsible for running initial experiments with state-of-the-art machine learning models, reviewing and implementing cutting-edge research papers, and optimizing existing code for efficiency and accuracy. In 3 months you will directly own and have created a prototype model architecture, demonstrated significant algorithmic improvements, and contributed to scaling methods for large-scale data ingestion and training. In 6 months you'll have developed a high-performance version of a foundation model, implemented key algorithmic optimizations that boost scalability and throughput, and published internal benchmarks demonstrating significant research impact. Why Join Us Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement state-of-the-art infrastructure solutions. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering. Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field. Who You Are You want to redefine what's possible at the frontier of AI and biology. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions. Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency. Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization. Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing. Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow), and familiarity with state-of-the-art training and inference workflows. Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful critical analyses. Experience of building highly collaborative research teams. Track record of working on hard problems for long periods of time. High agency with the ability to jump on any task as needed. Demonstrated experience training, optimizing, and deploying large-scale models (7B+ parameters). Low level algorithm optimisation Quantization (8bit or lower) JIT compilation XLA/Mosaic/Triton/CUDA Hardware optimisation (GPU/TPU/HPU) Finetuning Optimization (QLora, QDora) Large scale data above 2T tokens Location Based in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands‑on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our Values Exceptional performance at exceptional pace The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present. Inquisitive discovery We embrace curiosity and creativity. Every question is a path to a transformational breakthrough. Radical candour We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one's bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale We have a steadfast commitment to improve the health and well-being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact. #J-18808-Ljbffr

Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. This is a full-time role that is hybrid from our San Francisco or Seattle Office We're seeking a Staff ServiceNow Engineer who thrives in a fast-paced environment and enjoys solving complex challenges with elegant technology solutions. In this role, you will develop and enhance key components of our ServiceNow platform-including Employee Center Pro experiences, Now Assist AI capabilities, and automation across our enterprise workflows. You'll collaborate with cross-functional teams to refine requirements, architect durable solutions, and elevate engineering standards through peer reviews and mentorship. This is an opportunity to influence platform strategy, contribute to innovation, and deliver high-impact capabilities that support our growing organization. What you'll do: Design and Develop Solutions: Build, enhance, and maintain scalable solutions within the ServiceNow platform with focus on ITAM (HAM Pro, SAM Pro) , CMDB, Employee Center Pro and Now Assist following ServiceNow's best practices and development standards. Own the Technical Delivery: Lead the full lifecycle of solution development, from requirements analysis and technical design to configuration, scripting, testing, and production deployment. Collaborate Across Teams: Work closely with business stakeholders, product owners, and architects to understand needs, refine requirements, and translate them into scalable, maintainable ServiceNow solutions. Enhance Employee Experience: Configure and customize Employee Center Pro, including content taxonomy, audience targeting, user experience enhancements, and service journeys. Leverage AI/ML Capabilities: Implement and optimize Now Assist features such as generative AI experiences, virtual agent improvements, and intelligent recommendations to elevate platform usability. Ensure Data Accuracy and CMDB Health: Drive CMDB data model governance, enforce relationship and dependency rules, and maintain alignment with the Common Service Data Model (CSDM). Integrate Systems and Automate Workflows: Design and implement integrations between ServiceNow and external systems (e.g., procurement, cloud platforms, monitoring tools) using IntegrationHub, REST, and APIs. Perform Peer Reviews: Conduct and participate in code and configuration reviews, ensuring adherence to coding standards, maintainability, and platform performance. Champion Platform Quality: Establish and uphold development, testing, and release management best practices in collaboration with platform owners and governance teams. Provide Technical Updates and Guidance: Communicate technical progress, design decisions, and risks to project stakeholders and leadership in a clear and structured manner. Support Continuous Improvement: Identify opportunities to optimize processes, automate manual workflows, and enhance ServiceNow usability and performance. Mentor and Lead by Example: Support junior developers through technical guidance, documentation, and promoting a culture of engineering excellence. What you'll need: 7+ years of hands‑on experience designing, developing, and maintaining Servicenow solutions in enterprise‑scale environments. Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent work experience). Deep understanding of HAM Pro, SAM Pro,CMDB modules, including lifecycle management, discovery, reconciliation, and compliance. Strong experience configuring Employee Center Pro including content creation, portal configuration, taxonomy design, search optimization, and UX enhancements. Working knowledge of Now Assist, generative AI capabilities, conversational experiences, and AI‑driven automation within the ServiceNow platform. Proven ability to write clean, modular, and maintainable code aligned with ServiceNow's technical and security best practices. Skilled in engaging with business partners, product owners, and architects to align technical solutions with strategic goals. Experience in peer code reviews, test planning, debugging, and performance tuning to ensure solution reliability and scalability. Expertise in Common Service Data Model (CSDM) and its application within CMDB governance and data quality frameworks. Strong background working in Agile/Scrum environments, managing backlogs, and delivering iterative platform enhancements. Ability to convey complex technical concepts to both technical and non‑technical stakeholders; excellent documentation and presentation skills. Passion for staying current on ServiceNow platform updates, new features, and emerging ServiceNow trends. ServiceNow Certified System Administrator (CSA) preferred. Nice to have: ServiceNow Certified Application Developer Certified Implementation Specialist (CIS) in ITAM or CMDB Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $118,400.00 - $203,500.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. Apply for this position Staff ServiceNow Engineer Information Technology #J-18808-Ljbffr

* Bachelor's degree.* At least 10 years of experience designing and building data-intensive solutions using distributed computing.* At least 6 years of experience programming with Python, Scala, or Java.* At least 5 years of people management experience.* At least 3 years of experience with the full Machine learning development lifecycle using modern technology in a business critical setting.* Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field.* 3+ years of experience building production-ready data pipelines that feed Machine learning models.* 8+ years of experience within a large data-intensive multi-line business environment.* 5+ years of experience leading software engineering teams.* Expertise designing, implementing, and scaling complex production-ready data pipelines for Machine learning models.* Experience partnering with technology peers responsible for data architecture and distributed computing infrastructure or platforms.* Ability to communicate complex technical concepts clearly to a variety of audiences.* Highly developed interpersonal, presentation, and communications skills.* Machine learning industry impact through conference presentations, papers, blog posts, open source contributions, or patents.* Ability to attract and develop high-performing software engineers with an inspiring leadership style.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

**About this role** Are you interested in building innovative technology that crafts the financial markets? Do you like working at the speed of a startup, and solving some of the world's most exciting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for engineering leaders who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. We invest and protect over $11 trillion (USD) of assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next-generation technology and solutions. **About the Role:** Join the Aladdin Engineering team as Vice President, AXE/IOI Engineering Team Lead, where you will lead the design, development, and evolution of our IOI (Indication of Interest) and AXE infrastructure. This role is central to our strategy for delivering scalable, resilient, and high-performance trading workflows across asset classes and geographies. As the engineering lead for IOI/AXE, you will shape the future of liquidity discovery and dealer connectivity-owning the architecture and implementation of systems that handle millions of indications and axes daily, ensuring they meet the highest standards of reliability, latency, and observability. This leader works across engineering, product, and support teams to ensure that our trading platform is not only high-performing but also operationally resilient. The role requires close collaboration with teams across the globe, navigating time zones, cultures, and organizational structures to drive alignment and execution. You will be expected to lead cross-functional initiatives that span multiple teams and products, and your decisions will influence dozens of engineers and impact thousands of users across internal and external Aladdin clients. A key focus of this role is the modernization of our IOI/AXE infrastructure. You will set the strategic direction for connectivity and distribution-re-architecting legacy systems, adopting cloud-native and open-source technologies, and implementing advanced observability frameworks that improve system transparency, performance, and scalability. Your leadership will help drive innovation in liquidity discovery, FIX connectivity, and integration with Aladdin's OMS/EMS-ensuring our platform remains competitive, compliant, and client-centric in a rapidly evolving market landscape. You will also ensure that engineering efforts align with firm-wide standards for diagnostics, monitoring, and operational excellence. By integrating observability into every layer of the IOI/AXE stack, you will empower engineering and trading teams with real-time insights and actionable intelligence that enhance system reliability and user experience. This role demands a visionary mindset-someone who can anticipate market trends, regulatory shifts, and client needs, and translate them into actionable engineering strategies. You will be empowered to shape the future of liquidity infrastructure in Aladdin, influencing not only how IOIs and axes are disseminated, but also how our systems scale, adapt, and evolve in a rapidly changing financial landscape. **What are Aladdin and Aladdin Engineering?** + You will be working on BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands of users investing worldwide. + Our development teams reside inside the Aladdin Engineering group. We collaboratively build the next generation of technology that changes the way information, people, and technology intersect for global investment firms. We build and package tools that manage trillions in assets and support millions of financial instruments. We perform risk calculations and process millions of transactions for thousands of users every day worldwide! **Being a member of Aladdin Engineering, you will be:** + Tenacious: Work in a fast-paced and highly complex environment + Creative thinker: Analyze multiple solutions and deploy technologies in a flexible way + Great teammate: Think and work collaboratively and communicate effectively + Fast learner: Pick up new concepts and apply them quickly **Responsibilities include:** + Set and execute the strategic vision for IOI/AXE infrastructure across Aladdin's trading platform. + Lead engineering teams in building and scaling high-throughput, low-latency, multi-asset liquidity systems. + Drive modernization efforts through cloud-native architecture, open-source adoption, and advanced observability tooling. + Collaborate globally across engineering, product, and trading teams to deliver fault-tolerant, high-availability systems. + Own the full lifecycle of engineering initiatives-from design and development to deployment and feedback-working closely with traders to assess impact and usability. + Partner with product management and business stakeholders to define and evolve the roadmap for IOI/AXE and FIX connectivity. + Design and deliver innovative solutions to complex liquidity challenges, proactively identifying risks and resolving roadblocks. + Apply rigorous software engineering practices including automated testing, CI/CD, code reviews, and DevOps integration. + Lead project execution using Agile methodologies, ensuring timely delivery of priorities and milestones. + Foster a culture of technical excellence by mentoring and growing engineering talent, and driving continuous improvement in team productivity and system quality. + Represent IOI/AXE in cross-functional leadership forums and client-facing engagements. **Qualifications:** + B.E./M.S. or equivalent in Computer Science or related field. + 10+ years of experience in software engineering, with 5+ years in leadership roles. + Proven track record of managing engineering teams and delivering complex trading or market data systems. + Deep expertise in FIX protocol, IOI workflows, and connectivity patterns. + Strong foundation in Java or C++, with experience in real-time systems and performance optimization. + Experience with microservices, messaging middleware, and distributed systems. + Familiarity with observability frameworks (e.g., OpenTelemetry, Visualization and analytics platforms for metrics and logs) and streaming architectures. + Experience working in global organizations and managing distributed teams. + Excellent communication and stakeholder management skills. + Ability to translate business needs into scalable technical solutions. + Ability to build strong relationships with cross-functional teams and stakeholders. **Skills and Experience:** + Proven experience leading engineering teams and delivering complex, high-quality software projects. + Expertise in FIX protocol and IOI workflows. + Proficiency in microservices, REST APIs, and distributed systems. + Expertise in TCP, multicast, streaming protocols, and middleware architectures. + Strong knowledge of open-source technology stacks (Spring, Hibernate, Maven, JUnit). + Experience with relational and NoSQL databases. + Excellent analytical, problem-solving, and communication skills. + Interest or experience in finance, investment processes, and translating business needs into scalable technical solutions. **Nice to have:** + Understanding of performance optimization techniques (low/no GC, off-heap caching, kernel bypass, cache locality, CPU pinning, Linux customizations). + Experience with optimization, algorithms, or quantitative processes. + Experience with DevOps practices and tools (Azure DevOps). + Experience with cloud platforms (Azure, AWS, GCP). + Experience with AI-related projects or working in an AI research environment. + Certifications, advanced degrees, or open-source contributions demonstrating mastery of software engineering principles. For New York, NY and LA3-2951 28th Street, Suite 1000, Santa Monica Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. For Chicago, IL Only the salary range for this position is USD$148,000.00 - USD$200,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. **Our benefits** To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. **Our hybrid work model** BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. **About BlackRock** At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock (****************************** | Twitter: @blackrock (****************************** | LinkedIn: ********************************** BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. **View the** **EEOC's Know Your Rights poster and its supplement (************************************************************************************************************ **and the** **pay transparency statement (************************************************************************************************* **.** BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy (**************************************************************************************** . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

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.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

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.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

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.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

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.? Get future opportunities sent straight to your email. #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

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

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

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

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

In this role, you will impact the manufacturing processes by optimizing production efficiency and driving continuous improvement initiatives, contributing to increased efficiency, reduced costs, and improved quality in our manufacturing operations. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture. **KEY RESPONSIBILITIES** + Lead and oversee advanced manufacturing processes to ensure quality, efficiency, and productivity. + Develop and implement strategies to optimize production processes and drive continuous improvement. + Collaborate with cross-functional teams to identify and implement advanced manufacturing technologies. **YOU MUST HAVE** + Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, or mathematics. + 1 or more years of experience in advanced manufacturing or process optimization. + Strong knowledge of manufacturing technologies, such as automation and robotics. + Experience with data analysis and statistical process control. + Proficiency in CAD software and manufacturing simulation tools. **WE VALUE** + Advanced Engineering degrees like ME (Mechanical Engineering) or EE (Electrical Engineering). + Experience in lean manufacturing principles and methodologies. + Strong analytical and problem-solving skills. + Ability to work effectively in cross-functional teams. + Commitment to continuous learning and professional development. **ABOUT HONEYWELL** Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here (******************************** **THE BUSINESS UNIT** Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here (********************************** Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :click here (***************************************************************** **BENEFITS OF WORKING FOR HONEYWELL** In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here (******************************** The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting Date: January 9, 2026 **U.S. PERSON REQUIREMENTS** Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. citizen, U.S. permanent resident, or have asylum or refugee status in the U.S. Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.