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Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling di

A leading AI insights firm is seeking a skilled engineer to own the LLM infrastructure for transformative B2B research products.

As a Staff Research Engineer, you will define the scientific "North Star" behind the evaluation flywheel, drive technical success across methodologies, and partner with product, engineering, and model training teams to steer the system toward reliability and trustworthiness at scale. Meta Superintel

The research software engineer will be part of a growing community of Flatiron scientists and software engineers working on astronomical software, including Flatiron Software Research Fellows (postdocs), CCA-affiliated SCC scientists, and other research software engineers in CCA. The CCA seeks a ful

Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering. As a Staff Research Engineer, you'll be responsible for building industry-leading conversational AI models that power Decagon's agent, and taking them all the way from idea

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production. Strong software engineering skills.

Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights. Excellent communication and collaboration skills for working with global researchers and engineers. Expand the Optiver Research Platform's capabili

The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed term position with a duration of one year, with possible renewals. Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK:Senior Infrastructure Engineer - EmailAdministration Memorial Sloan Kettering Cancer Center (MSKCC) is seeking a Senior Infrastructure Engineer - Email Administration to support our Advanced Technologies team. This roleis responsible forsecuring and operating missioncritical email services in a highly regulated healthcare environment, ensuring reliability, compliance, and protection of patient information. Role Overview * Design, implement, andoptimizescalable, secure enterprise email infrastructure across hybrid environments * Administer Microsoft 365 Messaging and Exchange Server (2016/2019/SE) to ensure high availability and performance * Implement and manage SPF, DKIM, and DMARC to prevent spoofing and business email compromise * Configure andmaintainMicrosoft Purview compliance tools, including DLP and information protection * Develop andmaintainPowerShell automation for administration, reporting, and configuration management * Leverage Power Automate to streamline workflows and integrate email processes with hospital systems * Monitor email health, security posture, and message flow; resolve complex routing and delivery issues * Participate in 24/7 on-call rotation to support critical messaging incidentsimpactingpatient care * Lead or support email-related initiatives including migrations, upgrades, hybrid configurations, and security enhancements Key Qualifications * 5+ years of hands-on experience engineering and administering enterprise email platforms * Deepexpertisewith Microsoft Exchange (hybrid and/or Exchange Online) in regulated environments * Proven experience with email security gateways, preferably Proofpoint solutions * Strong working knowledge of HIPAA requirements related to email and PHI protection * Advanced PowerShell scripting experience for automation and operational efficiency * Experience supporting high-availability messaging systems in healthcare or similar regulated industries Core Skills * Strong analytical and troubleshooting capabilities across cloud and on-premises environments * Ability to design secure solutions aligned with compliance and regulatory standards * Effective collaboration with security, compliance, clinical, and application teams * Ownership mindset with the ability to manage incidents and priorities under pressure * Clear documentation and communication skills to support audits, runbooks, and knowledge sharing Additional Information: * Schedule:9:00 AM - 5:00 PM EST, Monday - Friday * Location:Hybrid1-2 times amonth;633 Third Avenue, New York, NY (twice a week) * Reporting ToManager I, Infrastructure Helpful Links: * * Pay Range: $151,300.00 - $249,700.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Department of Pathology and Cell Biology at Columbia University Irving Medical Center, through partnership with the NewYork-Presbyterian Hospital, established the Digital and Computational Pathology Laboratory (DCPL) in 2018 to accelerate the development and deployment of quantitative pathology. Leveraging our network of expert pathologists and the department's extensive basic sciences knowledgebase, the DCPL aims to advance tissue-based diagnostics and personalized medicine using cutting-edge computational tools. To further this mission, we are seeking an experienced software engineer to join our multidisciplinary team of scientists and physicians. You will work with a passionate group that safely and fairly uses technology to solve real-world, clinically meaningful challenges in the field of anatomic pathology. As a mid/senior-level software engineer, you will work with our team to develop technologies aimed at storing, analyzing and serving large multiresolution and multispectral imaging data to investigators involved in both basic science research and clinical trials. Responsibilities • Work with bioinformatic researchers and physicians to develop and deploy clinical-grade systems focused on multiresolution (whole-slide) imaging., • Use DevOps framework and implement standards, processes, and controls for release and deployment activities., • Create and maintain technical documentation, including user guides, operational run books, and standard operating procedures., • Preferably with experience developing scientific software, including but not limited to software related to biomedical imaging and geographic information systems (GIS)., • Familiar with DevOps practices and version control systems (Git)., • Comfortable with shell scripting (bash) and markup languages (YML, XML, HTML)., • 5+ years of hands-on experience with programming languages like Python/Java., • 3+ years of experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc), • 3+ years of experience with database technologies such as MySQL, Postgres (PostGIS), MS SQL., • Familiar with high-performance computing platforms either on-premises (LSF, Slurm, etc) or on the cloud (especially AWS). Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Software Engineer (C#) - Internal Tooling (AI Infrastructure). This is a fully remote contract role with meaningful technical scope - real production systems, high-impact workflows, and the kind of engineering problems that actually stretch your skills. Collaborate with data, research, and engineeri

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer-Full Stack/Cloud Foundation Services at JPMorgan Chase within Corporate Technology's Research, Development, and Innovation team, you will play a critical

As a machine learning researcher at Not Diamond, you’ll work closely with myself and our founding team to help define and execute our technical vision and contribute to a world-class research and engineering organization. Alejandro Companioni, founding engineer **Former senior MLE, Spotify, Stitch

A leading AI technology company is seeking a Senior Machine Learning Engineer to enhance their AI research-to-production pipeline. You will design tooling for model deployment, improve infrastructure for efficiency, and resolve production issues.

The easiest way to understand our research directions is to read our recent research. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Inter

Youll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

We are seeking an AI engineer intern to work closely with us to build custom software, internal tools, and workflow automations that improve research efficiency and decision-making. Experience with LLM workflows, developer tools, browser automation, or internal tooling. Prior internship, research, o

The senior engineer will collaborate with a cross-functional team of developers and work closely with product development, quantitative research, technology infrastructure, production support and QA teams.

Passion for building mission-critical, elegantly engineered, and scalable code following clean coding practices (SOLID, continuous refactoring, testing). As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm's IT infrastructure and engineering capabilitie

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole.Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build ben

Senior Windows Security Engineer - C#.New York, NY (Hybrid, 3 days in office).Highly competitive compensation package.Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex pro

The research software engineer will be part of a growing community of Flatiron scientists and software engineers working on astronomical software, including Flatiron Software Research Fellows (postdocs), CCA-affiliated SCC scientists, and other research software engineers in CCA. The research softwa

Mercor is seeking an Expert Engineer to create original engineering questions and evaluate their difficulty levels.You will be responsible for providing correct answers, step-by-step solutions, and academic references.A PhD or doctoral candidacy in Engineering is essential, with a strong command ove

As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimize hallucinations and enhance truthfulness in language models.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. You will

A leading AI research company is seeking a Principal Security Engineer for its Infrastructure Security team.This role involves designing and implementing security controls across multi-cloud and datacenter environments to protect sensitive data and uphold security best practices.Ideal candidates wil

Quantitative Developer / Senior Research & Data Engineer - Systematic Trading. As a Quantitative Developer / Senior Research & Data Engineer, you will own critical infrastructure that directly powers systematic trading. Building integrated research environments where quantitative researchers develop

We are looking for a Research Scientist (Chemistry) to join our team to train AI models. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process D

Project: Controls & Optimization, Advanced Research Center. Work with hardware suppliers and engineering tool providers to identify and select solutions for challenging industrial and defense applications.

Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. 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 Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About Nayya Founded in 2019, Nayya is on a mission to connect people's most important information, so they can thrive in their health and wealth. Powered by AI and advanced analytics, Nayya's platform transforms complex benefits experiences into intuitive, seamless, and ongoing interactions—meeting people's real world needs. As a trusted platform and partner to leading employers, benefits solutions, and HR tech providers, Nayya unlocks long-term value through helping employees live more resilient lives. Backed by strategic investors like ICONIQ, Felicis Ventures, SemperVirens, Workday Ventures, MetLife Nextgen Ventures, and ADP Ventures, Nayya is ushering in the future of health and wealth for all. Nayya is building the future of employee benefits — ensuring smarter, more personal, and genuinely useful benefits experiences for millions of people every year. We're looking for a Benefits Product Specialist to sit at the intersection of deep industry expertise and product innovation. This isn't a traditional role. You'll be the benefits domain authority for our product and engineering teams — the person who can answer the hard questions about self-insured plan mechanics at 10am and review a prototype for a new benefits recommendation flow at 2pm. You'll cut through the noise, accelerate product development, and help the team build things that are genuinely right for employers and employees. If you've spent years in benefits consulting, brokerage, HR, or insurtech — and you're ready to bring that expertise into a fast-moving product environment — this role was designed for you. Role & ResponsibilitiesBe the Benefits Brain Trust • Serve as the internal subject matter expert on employee benefits for product, engineering, and design — fielding questions ranging from "how does stop-loss work" to "what does a TPA actually do with this data", • Build and maintain living documentation on benefits concepts, plan mechanics, and industry norms so the team doesn't have to re-research the same ground, • Review product specs, user flows, and engineering designs for benefits accuracy and flag gaps before they become expensive mistakesAccelerate Product Development, • Work directly with PMs and engineers to translate benefits complexity into clear, actionable product requirements, • Own benefits research so the team can move faster — no more engineers Googling "what is an embedded deductible" mid-sprint, • Help define the "right" answer on ambiguous benefits questions where there isn't one standard, and give the team the confidence to shipPrototype & Innovate with AI, • Build and iterate on benefits-related prototypes using AI tools — you don't need to write production code, but you should be comfortable in a low-code / AI-assisted development environment, • Identify opportunities where AI can improve how employees understand, select, and use their benefits — and bring those ideas to the table with enough specificity to act on, • Stay current on how LLMs and AI tools are reshaping benefits delivery and bring that perspective to Nayya's roadmapMentor & Elevate the Team, • Run informal benefits education sessions for product, engineering, and sales teams, • Help onboard new team members on the fundamentals — and the nuances — of how employer benefits actually work, • Be a resource for customer-facing teams navigating complex employer or member questionsWhat We're Looking ForBenefits Expertise (Required), • 3–8 + years of experience in employee benefits — consulting, brokerage, carrier, TPA, HR, or benefits technology, • Genuine fluency in the fundamentals: fully insured vs. self-insured, stop-loss (specific and aggregate), underwriting, claims data, plan design, COBRA, FSA/HSA/HRA, and EOB interpretation, • Familiarity with how employers actually make benefits decisions — renewal cycles, broker relationships, plan benchmarking, and the role of the CFO vs. HR in those conversations, • Comfort with the messiness of real-world benefits data — inconsistent carrier feeds, plan mapping challenges, formulary changes, and network nuancesProduct & Technology Sensibility (Required), • Experience working in or alongside a product or technology team — whether as a technical PM, a benefits tech implementation lead, or a consultant who's done deep work with HR/benefits platforms, • Ability to translate domain expertise into crisp, actionable requirements that engineers can build from, • Self-starter mentality: you're comfortable making judgment calls, driving toward clarity, and operating with ambiguity, • Demonstrated use of AI tools in your workflow — ChatGPT, Claude, Copilot, Cursor, or similar — and genuine curiosity about where they're headedNice to Have, • Experience writing code or working in a technical capacity (even lightly) — Python, SQL, or prompt engineering all count, • Prior experience at a benefits technology company (Businessolver, bswift, Benefitfocus, League, etc.) or at a large brokerage / consultancy (Aon, Mercer, WTW, Lockton, etc.), • Familiarity with how LLMs work and where they break down — enough to evaluate AI-generated benefits content critically, • You've been the person colleagues come to when a benefits question stumps the room — and you actually enjoy that, • You get frustrated when technology gets benefits wrong, and you have opinions about how to fix it, • You've played with AI tools enough to have a real point of view — not just "it's cool" but "here's how it could change how employees engage with their benefits", • You're ready to leave the comfort of a pure consulting or brokerage role and take ownership in a product environment where your work ships to real users, • You can talk credibly to a CFO about self-insured risk and then turn around and give an engineer a precise data spec — in the same day The salary range for New York based candidates for this role is $130,000- $190,000, commensurate with the broad range of experience for this position. We use a location factor to adjust this range for candidates that are located outside of geographic region of our New York office. Placement within the salary band is determined based on experience. #LI-HYBRID Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

Electrical Engineer Job Duties: Evaluates electrical systems, products, components, and applications by designing and conducting research programs; applying knowledge of electricity and materials. De

A leading AI insights firm is seeking a skilled engineer to own the LLM infrastructure for transformative B2B research products.The role requires exceptional coding ability and full-stack experience, with knowledge of AI/ML implementations.Applicants should be adept in React, TypeScript, Python, and

What You'll Do: Join the founding team of a well backed crypto start up Investigate new opportunities and strategies in the MEV and DeFi ecosystem Analyze complex protocols, smart contracts, and market dynamics Gather, curate & analyze data within the MEV space to drive product decisions and outcome

A leading AI-powered research company is searching for a Senior Full Stack Engineer to lead projects and guide junior engineers.

Mercor is seeking an Expert Engineer to create original engineering questions and evaluate their difficulty levels. A PhD or doctoral candidacy in Engineering is essential, with a strong command over engineering principles and excellent English writing skills.

A leading AI research accelerator is looking for a Software Engineer to evaluate and refine AI-generated code, ensuring efficiency and reliability.Candidates should have over 5 years of experience in software engineering, including top-tier companies.Responsibilities include collaboration with teams

A leading AI technology firm in New York is seeking a Machine Learning Research Engineer to lead the development of ML systems for their GenAI platform. In this product-focused role, you'll design and deploy scalable ML services while collaborating with engineering and product teams to deliver innov

Machine Learning Research Engineer, GenAI Applied ML About Scale. This role will lead the development of machine learning systems powering internal and external customer use cases across Scale’s GenAI platform. Design and deploy machine learning models to power core customer‑facing and internal

Mechanical Engineer (Mission Critical Facilities) – NYC / Hybrid This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $110,000 - $155,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? Benefits: • Competitive Base Salary, • Competitive Bonus & Benefits Package, • Accelerated Career Growth Job Details Mechanical Design Engineer - NYC (Hybrid) Mission Critical Projects – (Healthcare / Data Centers) Position Overview We are seeking a Mechanical Design Engineer with 6–10+ years of experience in the design and implementation of technology-focused Architectural/Engineering projects. This role involves full-cycle project work, including existing conditions assessments, design development, production of construction documents, and construction administration for complex facilities such as Data Centers, Critical Infrastructure Buildings, and Mission Critical Healthcare Facilities. Key Responsibilities • Lead mechanical project design and development from concept through construction; serve as a senior technical engineer on assigned projects., • Oversee, manage, and mentor mechanical engineering team members., • Conduct engineering studies to assess existing systems and recommend solutions addressing performance improvements, energy goals, equipment replacement, end-of-life planning, spatial constraints, and project timelines., • Perform engineering calculations, including load calculations, equipment selection, psychrometric analysis, pressure-loss calculations, duct sizing, fixture loading, energy analysis, and specification writing., • Prepare comprehensive construction documents (drawings and specifications), addenda, bulletins, and transmittals., • Identify value-engineering opportunities and constructability enhancements for internal and third-party–designed projects., • Attend and participate in design and construction meetings; coordinate with architects, clients, project managers, and other trades throughout all project phases., • Review and respond to RFIs, submittals, contractor inquiries, and design-change requests; issue formal responses and approvals as needed., • Conduct field surveys, site assessments, construction observations, punch lists, and data collection at project sites., • Ensure compliance with International, National, State, and Local Codes, including NYC Mechanical, Building, Energy Conservation, Fire Protection Codes, NFPA standards, and all applicable rules and regulations., • Complete all code-required energy compliance documentation, LEED calculations, and associated certifications. Qualifications • Bachelor’s or Master’s Degree in Engineering from an ABET-accredited university (Required)., • 7–10+ years of Mechanical (HVAC) engineering and design experience; Plumbing and Fire Protection experience is a plus., • PE License Desired, • Mission-critical project experience in Data Centers or Healthcare required., • Strong understanding of cross-discipline project coordination within an A/E environment., • Proven experience working on technically complex project types., • Ability to take ownership of tasks and interface effectively with clients, architects, and multidisciplinary teams., • Skilled in presenting design options to internal teams, architects, and clients for review and evaluation., • Capable of managing multiple design and construction projects simultaneously within a collaborative team environment., • Detail-oriented with strong time-management and budgeting skills for meeting project schedules and deliverables., • Field experience with a solid understanding of construction methods, principles, and best practices., • Proficient in Revit, AutoCAD MEP 3D, Navisworks, Bluebeam Revu, Procore, Prolog, and Microsoft Office (Word, Excel, PowerPoint, Outlook)., • Excellent written and verbal communication skills. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Electrical Engineer PE (Mission Critical) - NYC/Hybrid This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $125,000 - $165,000 per year A bit about us: Award-Winning Engineering Consulting Firm specializing in Design/Build Mission Critical Projects, Hyperscale Data Centers, and Healthcare Facilities. For over 40 years we’ve built a team of innovative Engineers & Architects devoted to principles of design excellence and exceptional service. Our leadership remains actively involved in every project, guiding planning, design, management, and implementation. Over the years, our practice has expanded to include a diverse, multidisciplinary staff with expertise across a wide range of project types. This blend of technical depth and industry diversity enables an innovative, holistic approach to each engagement. With experience spanning Mission Critical Facilities, Data Center, Healthcare, and Research & Technology, we are constantly evolving with the latest advancements to deliver forward-thinking solutions and a strong commitment to client services. Why join us? We can offer you the opportunity to work on State-of-the-Art Projects including Hyper Scale Data Centers • Competitive Base Salary, • Competitive Bonus, • 401K Matching Contribution Benefits Package, • Comprehensive Benefits Package (Health/Dental/Vision), • Accelerated Career Growth & Professional Development, • Flexible Work Schedule and Paid Time Off Job Details Electrical Engineer PE – Mission Critical Data Centers – REMOTE We are seeking a Mid to Senior Level Electrical Engineer PE with 6-10 years of experience in Electrical Building / Power Systems Design of Mission Critical Data Centers Projects and Critical Infrastructure. QUALIFICATIONS • Bachelor’s Degree in Electrical Engineering from an ABET-accredited college or university., • 5-10+ years of experience designing power systems for mission critical projects, data centers, or healthcare facilities., • Advanced proficiency with SKM Power Tools (DAPPER, CAPTOR, Arc Flash)., • Strong understanding of NEC, NFPA 70E, IEEE 1584., • Experience with UPS systems, generator paralleling, STS/ATS equipment, and redundant distribution architectures., • PE License Desired, • Demonstrated experience designing electrical power systems on technically complex projects., • Proficient in design software such as Revit, AutoCAD, and related tools., • Strong understanding of all A/E design disciplines and cross-disciplinary project coordination., • Ability to effectively communicate and interface with architects, clients, engineers, and trade personnel., • Skilled in presenting design options and technical recommendations to clients and internal teams., • Detail-oriented with strong time-management and budgeting skills to meet project schedules and deliverables., • Proven ability to work productively within a team environment on multiple design and construction projects., • Field experience with a solid understanding of construction methods, systems, and best practices., • Design electrical power systems for mission critical environments, data centers, and healthcare facilities., • Develop and maintain detailed electrical system models of Medium Voltage and Low Voltage distribution system in SKM, consisting of UPS systems, generators, paralleling gear, PDUs, RPPs, and dual fed distribution., • Perform short circuit studies to verify equipment withstand ratings and identify overstressed equipment., • Develop protective device coordination studies., • Conduct arc flash hazard analyses and prepare arc flash labels aligned with NFPA 70E, IEEE 1584, and owner specific safety programs., • Evaluate system behavior under normal, emergency, and maintenance operating modes., • Prepare detailed engineering reports with clear recommendations for mitigation, labeling, and operational safety., • Review one-line diagrams, equipment submittals, and as built documentation to ensure accurate system modeling., • Collaborate with design engineers, commissioning teams, and facility operators to gather data and validate study assumptions and maintain up-to-date SKM model and reports.., • Provide technical guidance during design, commissioning, and troubleshooting of power distribution systems in live or planned data center environments., • $125K - $165K + Depending on Experience., • Annual Performance Bonuses, • Full-Time / Direct Hire position with a Comprehensive Benefits Package., • Excellent opportunity for career advancement within a growing mission-critical engineering team. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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Job Description H&H is seeking a Load Rating Engineer to join the firm’s New York City Asset Management team. This position supports the continued expansion of H&H’s bridge inspection and structural services in response to growing client and project demands within the structural and transportation markets. The Load Rating Engineer focuses on hands-on project delivery, performing bridge load rating analyses to support inspection programs, new designs, rehabilitation efforts, load posting decisions, and overload permitting for a diverse public agency client base in the New York Metropolitan area and beyond. H&H is a nationally recognized, full-service infrastructure engineering firm delivering innovative solutions that move communities forward. With more than 139 years of experience and over 600 professionals across 32 offices nationwide, we combine deep technical expertise with the agility of a privately owned firm. From planning and design through construction, we manage the full project life cycle while continually advancing our capabilities, strengthening our national presence, and investing in the people who power our growth. At H&H, you’ll join a firm that is building on its legacy by aligning expertise, expanding opportunity, and positioning itself for long-term, sustainable growth. Responsibilities • Perform Level 1 and Level 2 bridge load rating analyses using routine and refined methodologies, • Conduct load rating calculations using LRFR, LFR, ASR, permit vehicle, specialized hauling vehicle, and non-standard loading methodologies, • Prepare load rating reports and technical documentation incorporating inspection data, as-built information, material properties, and deterioration effects, • Utilize AASHTOWare Bridge Rating software for integrated load rating workflows, • Perform refined and advanced analyses using three-dimensional finite element modeling tools such as CSiBridge, SAP2000, or similar platforms, • Coordinate with bridge inspection teams, structural engineers, project managers, and agency stakeholders to integrate load rating results into bridge management and rehabilitation strategies, • Review field inspection data to validate modeling assumptions and refine analytical inputs, • Apply engineering judgment in accordance with the latest AASHTO Manual for Bridge Evaluation, FHWA guidance, and state-specific requirements including NYSDOT standards, • Support quality control reviews of load rating models, analyses, and deliverables under the guidance of senior technical staff, • Bachelor’s degree in Civil Engineering or Structural Engineering, • Professional Engineer license required in New York; additional state licenses preferred, • Minimum of five years of structural engineering experience with emphasis on bridge load rating, inspection, or design, • HWA-approved comprehensive bridge inspection training preferred, • Proficiency with AASHTOWare Bridge Rating software strongly preferred, • Experience with three-dimensional finite element analysis tools such as CSiBridge, SAP2000, or similar software, • Strong understanding of AASHTO LRFR, LFR, and ASR methodologies, load posting, and permitting requirements, • Demonstrated ability to apply engineering judgment to routine and refined load rating analyses, • Familiarity with NYSDOT standards and regional public agency clients preferred, • Strong written and verbal communication skills Salary range — $115,000-$150,000 annually. Salary commensurate with the level of experience. We offer a professional work environment, a competitive salary, a benefits package, and 401(k). EOE M/F/DISABILITY/VETS

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $40–$63/hour Commitment: 30+ hours/week Role Responsibilities • Configure development environments to support open-source projects in Rust., • Resolve dependency issues across various codebases to ensure seamless integration., • Ensure all tests pass consistently across different environments., • Work independently and asynchronously to meet project deadlines. Must-Have • Expertise in Rust with 2+ years of industry experience., • Familiarity with setting up development environments., • High attention to detail., • Upload resume, • AI interview based on your resume

Job Description Senior Machine Learning Engineer - up to $200k base + equity We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders. We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise. The Role • Collection — Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection., • Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data., • Infrastructure — Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data., • Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy. The Essentials • 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent, • Deep expertise in Python development, • Experience in machine learning / natural language processing, • Proven history developing and maintaining production-grade software, • A passion for addressing the climate crisis through high quality research and data, • Interest in working for a fast-moving startup with a small, international team, • A BSc degree in Computer Science, Engineering or other relevant field A Plus • Experience using Django and AWS, • A successful history of manipulating, processing and extracting value from datasets, • Experience working with Jira / Agile framework, • Experience using Bitbucket Pipelines, • Working understanding of climate tech sectors Our Offer • Opportunity to work and learn at a fast-growing climate tech startup, • Hybrid office based in New York, • Generous base salary + stock options, • Flexible working hours, • 20 days PTO + federal holidays, • Health coverage and 401(k)

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Engineer Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original engineering questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals and university repositories. Must-Have • PhD or doctoral candidate in Engineering or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards., • Professional engineering licensure (PE) or industry experience is a strong plus., • Upload resume, • AI interview based on your resume

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Mechatronics Engineer at Radical AI you will serve as the bridge between Mechanical Engineering and Software to operationalize a suite of novel robotic and autonomous systems to drive a first of its kind material science research and discovery laboratory. You will help ideate scalable designs for driving and automating state of the art lab equipment in part by specifying motors, motor drivers, actuators, encoders, sensors, and control systems. You will drive the integration of electromechanical systems and the foundational power and control systems, equipment, and hardware to operate our equipment safely and reliably. Your experience and vision will shape both the physical and systematic implementation of a lab-wide autonomous integrated control scheme. You will collaborate closely with Mechanical Engineering and Software to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. You will maintain and optimize control system performance to meet throughput and reliability metrics that are critical to the success of the technology. Mission • Contribute to and actualize the vision of the Mechanical Engineering team as we tackle solving complex and interconnected material handling challenges, and innovate novel solutions to automating the operation of existing equipment and systems., • Leverage your industry experience to instill team-wide adoption and utilization of ‘right tool for the job’ off-shelf solutions to accelerate the deployment of control, power, safety, and sensing systems., • Execute on the design and implementation of precision motion control systems and associated sensors and encoders., • Design and assemble the power and control cabinets to drive our systems with a focus on design flexibility and industry standard best practices for safety systems to protect our people and our technology., • Swiftly debug and trouble shoot electromechanical systems to maximize facility and equipment uptime. Help shape the culture of the hardware team by leading from the front and demonstrating a disciplined sense of organization, eye for detail, and an impeccable level of polish and craftsmanship., • Bring an attitude of collaboration and openmindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About you, • Minimum B.S. in Electrical, Mechanical, or Mechatronics Engineering or a closely related field., • 3-5 years industry experience in robotics, industrial automation, or a closely related field., • A strong fundamental understanding of electrical engineering and industry best practices., • Competency with CAD software, we use SOLIDWORKS., • Experience with PLCs, motor drivers, and industrial automation., • Knowledge of control systems, embedded systems, and automation technologies., • Excellent communication and interpersonal skills.Pluses, • Familiarity with programming languages like Python., • Familiarity with 6 DOF arms cobots, and their implementation., • Hands on experience with rapid prototyping and machine fabrication techniques., • Experience or exposure to the design and utilization of material handling systems (AMRs, ASRS, conveyance systems, etc)What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Software Engineer (Platform) Strong preference for candidates based in New York City Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York and Kansas City. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re hiring a Software engineer to focus on developing our react-based web platform. This is a full-stack software engineering role in both front-end and back-end web application development. Responsibilities • Develop and implement functional workflows that enable customers to process and analyze complex urban data, make data-driven decisions, and efficiently manage urban planning operations, • Design, build, and maintain RESTful APIs which use spatial context to efficiently query and aggregate nationwide geospatial and temporal data., • Collaborate across teams to deeply understand users' needs, develop and evolve requirements based on user research, set delivery timelines, and implement and deploy urban data applications at nationwide scale.Work with senior engineers, designers, and product managers to define the team's technical vision and roadmap., • Drive engineering best practices to enable a robust production environment and maintain an effective development velocity., • Achieve uptime requirements and maintain API stability through remote logging and observability tools., • Participate in on-call rotation; investigate and resolve production problems as they arise.Understand the urban data science context to ensure that correct, consistent, and meaningful functionality is delivered to customers.Qualifications, • Education: Bachelor’s degree in Computer Science or equivalent practical experience., • 3+ years of experience as a full-stack engineer., • Experience in web application development using a modern JavaScript client framework., • Bonus - Experience with our tech stack which includes: React, Typescript, Node, Mapbox, Python, Pandas, Postgres, BigQuery, Kubernetes, and Google Cloud Platform., • Comfortable working in a fast-paced environment with shifting priorities, • Able to identify when something is unclear and proactively seek clarification, • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $120K - $220K. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR 7njkiRsLA2

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge .