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Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services. POSITION SUMMARY As a Sr. Applications Engineer, you will need to formulate an engineered estimate and or budget for new and existing clients that shall be provided by consultants, engineers, construction managers, and general contractors and also from in-house Sales Representatives, Key Account Representatives and or Project Managers. ORGANIZATIONAL RELATIONSHIPS • Interface with Account Mangers, Support Services, Implementation Coordinators, Project Managers and Proposal Support Department on a regular basis., • Interface with Customers, Manufacturer’s Representatives, Manufacturer’s Technical staff, Distribution Suppliers and Supply Vendors on a regular basis., • Interface with area and senior leadership to develop a win strategy and evaluate the dynamics of projects., • Work with fellow application engineers providing guidance and or design aid in projects and products that are unfamiliar to them. SCOPE OF RESPONSIBILITY • Develop project requirements from interviews, customer provided scope of work, site surveys, specification, pricing sheets and drawing reviews., • Develop and provide detailed equipment list, electrical requirements, installation requirements and costing for turn-key security system solutions., • Configure and quote proprietary Pre Fabrication of applicable access control, CCTV and other systems ESSENTIAL FUNCTIONS • Product selection and application (to ensure the right product is used in the right application) while maintaining adherence to Securitas’s product selection process and design standards., • Estimate installation costs in conjunction with Implementation Operations, Service Operations, Internal Labor and External Labor, • Review of Field Site Survey documents and drawings., • Supports the RFI, RFP, RFQ and RFM&S process as needed, • Create estimates and budgets for access control, intrusion, cctv, intercom, PSIM, PLC and structured cabling systems, • Review architectural, electrical, telecommunication, security engineering floor plans, riser drawings, device schedules, detail drawings, interconnect and closet layout drawings., • Interpret specifications, addendums, revisions, sketches and Scope of work., • Work with project managers and design engineers for creating change orders on existing and ongoing projects., • Manage assigned projects and maintain deadlines for each project., • Build and maintain a good relationship with coworkers, suppliers and manufacturers., • Create a detailed list of clarifications, exclusions & compliance on a per project basis, • Knowledge of construction schedules, project meetings and how they pertain and impact the project., • Able to research product information utilizing the internet, • Excellent working knowledge of construction industry conventions, • Good understanding of work load and the requirements to maintain commitments., • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Ability to challenge labor bids from subs for various labor categories including IBEW, • Ability to navigate high value job environment for time lines, and compliance requirements, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements ADDITIONAL RESPONSIBILITIES • Be prompt, reliable, and on time in all aspects of your engagement while maintaining a high level of attention to detail and accuracy., • Perform any additional duties as required or assigned Minimum Requirements: SPECIAL KNOWLEDGE, SKILLS AND ABILITIES • Experience 5-7 Years, • Education BA Business/ BS Engineering/MS Engineering, • Applicable amount of experience in the appropriate field may be substituted for the educational background, • Thorough understanding of electronic security systems, their individual parts, and the onsite labor necessary to complete an installation., • Ability to read and understand written specifications, drawings and controlling documents., • Computer skills to include:, • MS Office, • Acrobat, • Visio, • DWG Writer, • Big Machines, • Sales Force dot com, • Good communication skills, • Ability to procure subcontractor pricing, • Ability to level bids from multiple subcontractors, • Excellent working knowledge of construction industry conventions, • Good understanding of work load and the requirements to maintain commitments., • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Ability to challenge labor bids from subs for various labor categories including IBEW, • Ability to navigate high value job environment for time lines, and compliance requirements, • Ability to assemble all cost aspects of a project, • Ability to recognize strategic and competitive issues, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

Securitas Technology, part of Securitas, is a world-leading provider of integrated security solutions that protect, connect and optimize businesses of all types and sizes. More than 13,000 colleagues in 40 countries are focused daily on our purpose to help make your world a safer place and our commitment to deliver an unparalleled client experience. With clients at the heart of all we do, our people, knowledge and technology power our connected ecosystem of health, safety and security solutions and services. POSITION SUMMARY As an Applications Engineer, you will need to formulate an engineered estimate and or budget for new and existing clients that shall be provided by consultants, engineers, construction managers, general contractors and also from in-house Sales Representatives, Key Account Representatives and or Project Managers. SCOPE OF RESPONSIBILITY • Analyze and interpret blueprints, specifications, and scope documents for fire and security system projects., • Prepare detailed cost estimates for labor, materials, and equipment for alarm systems, CCTV, access control, and other low-voltage installations., • Conduct take-offs and identify potential value-engineering alternatives to reduce costs without sacrificing quality., • Collaborate with vendors and subcontractors to source competitive pricing., • Develop bid proposals, ensuring all required documentation is submitted on time., • Partner with sales and project management teams to ensure seamless project handoffs., • Maintain an up-to-date pricing database., • Keep current with changes in industry codes, technology advancements, and competitive practices. Qualifications • Minimum 5 years of experience estimating in the fire alarm and/or security/low voltage field., • Education BA Business/ BS Engineering/MS Engineering or applicable amount of experience in the appropriate field may be substituted for the educational background, • Strong understanding of relevant codes, including NFPA and NEC., • Ability to read and interpret detailed construction drawings and scope documentation., • Experience working with major manufacturers (e.g., Silent Knight, Firelite, Bosch, Hanwha, Avigilon, Axis, Genetec, Lenel, and others)., • High level of organization and accuracy with strong attention to detail., • Excellent communication and time management skills., • NICET Certification- Fire Alarm Systems Level III or higher, preferred., • Computer skills to include:, • MS Office, • Acrobat, • Visio, • DWG Writer, • Big Machines, • SalesForce ESSENTIAL FUNCTIONS • Product selection and application (to ensure the right product is used in the right application) while maintaining adherence to Securitas’s product selection process and design standards., • Estimate installation costs in conjunction with Implementation Operations, Service Operations, Internal Labor and External Labor, • Review of Field Site Survey documents and drawings., • Supports the RFI, RFP, RFQ and RFM&S process as needed, • Create estimates and budgets for access control, intrusion, CCTV, intercom, PSIM, PLC and structured cabling systems, • Review architectural, electrical, telecommunication, security engineering floor plans, riser drawings, device schedules, detail drawings, interconnect and closet layout drawings., • Interpret specifications, addendums, revisions, sketches and Scope of work., • Work with project managers and design engineers for creating change orders on existing and ongoing projects., • Manage assigned projects and maintain deadlines for each project., • Build and maintain a good relationship with coworkers, suppliers and manufacturers., • Create a detailed list of clarifications, exclusions & compliance on a per project basis, • Knowledge of construction schedules, project meetings and how they pertain and impact the project., • Able to research product information utilizing the internet, • Excellent working knowledge of construction industry conventions, • Good understanding of workload and the requirements to maintain commitments., • Ability to navigate high value job environment for time lines, and compliance requirements, • Firm grasp of the competitive environment and strategic plays by competitors, • Excellent command and knowledge of building code requirements Securitas Technology Offers Comprehensive Benefits Including • Opportunity for annual merit pay increases, • Paid company training, • Medical, Dental, Vision, Life, Critical Illness, and Hospital Indemnity Coverage, • Company Paid Short Term and Long-Term Disability, • 401K with 60% Match up to 6% of salary, • Paid vacation, holiday, and sick time, • Educational Assistance, • Exceptional growth opportunities, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

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: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks., • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications., • Identify bugs, edge cases, performance issues, and failure modes., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 2+ years of professional machine learning engineering experience., • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Preferred • Experience deploying ML systems to production. Compensation & Legal • $400 per accepted task., • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Forward Deployed Engineer, you'll have significant autonomy to build, test, and deploy AI agents that solve real problems across industries. You'll work directly with customers to understand their challenges, collaborate with our research team to push the boundaries of what's possible, and partner with product and engineering to ship solutions that work. This isn't about prompt engineering or wrapping existing LLMs. You'll be working with a novel model architecture that reasons deterministically—building the future of reliable AI agents from the ground up. As a Forward Deployed Engineer at Scaled Cognition you will: Design and build AI agents for customers across finance, healthcare, legal, operations, and more—tailored to their specific domain requirements Work with the research team to expand our models' reasoning capabilities and add new domains of expertise Partner directly with customers to iterate on implementations, gathering feedback that shapes our platform roadmap Build robust evaluation frameworks to rigorously test agent performance and reliability across edge cases Create reusable patterns and tools that make it easier to deploy agents in new domains Example projects could include: A multilingual banking support agent that handles account inquiries, financial transactions, and compliance workflows across 12+ languages A retail agent that manages complex product customization requests, inventory checks, and order modifications in real-time A telecommunications agent that diagnoses hardware issues, walks customers through troubleshooting steps, and escalates to technicians when needed You might be the right person for the job if you: Love working directly with customers and translating their needs into technical solutions Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities Thrive in ambiguous environments where you have the autonomy to define the path forward Key Qualifications: Have 3+ years of experience as a software engineer, with a track record of shipping production systems Strong Python skills and familiarity with modern AI agent development Previous experience in a customer-facing technical role (solutions engineer, forward deployed engineer, etc.)

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

Job Description About the Role A fast-growing legal research and data company focused on US litigation data (with expansion underway into the UK and Canada) is looking for a seasoned litigator to step into a Legal Engineer role that sits at the intersection of litigation expertise, client relationships, and legal AI. This is not a practicing legal role. It is a growth, sales, and product role for someone who knows litigation inside and out and is ready to bring that knowledge to the clients, partners, and AI pipelines shaping the next generation of legal infrastructure. The team is small (around 10 people), flat, and moving fast, with ARR growing 15 to 20x this year. The ideal candidate is a litigator with 5 or more years at a top BigLaw firm or elite litigation boutique who has appeared in court, advised clients directly, and managed legal research workflows. You do not need an engineering background. You do need genuine curiosity about legal AI, comfort owning client relationships from day one, and a strong professional network in the legal community. If you have been an early adopter of AI tools at your firm, served on a tech procurement committee, or have litigation experience in class actions, data privacy, or financial services, that is a meaningful plus. Key Responsibilities • Run product demos, pilots, and onboarding sessions with law firms, in-house legal teams, and AI companies to help them understand and adopt the company's legal data platform, • Own client relationships and go-to-market initiatives, including sales calls with major law firms, conference appearances, and LinkedIn content, • Collaborate with engineers to build and annotate evaluations for AI pipelines, such as determining case overruling status and citation accuracy, • Write customer-facing materials including emails, product explainers, launch content, and marketing copy, • Help shape how the company presents itself to the legal market by identifying compelling use cases, crafting narratives, and driving word-of-mouth in legal circles, • Take ownership of projects and client accounts within a flat team structure, contributing directly to product direction and GTM strategy Required Skills & Experience • 5 or more years of active litigation experience at a top BigLaw firm or elite litigation boutique (non-negotiable), • Hands-on litigator background: court appearances, client advisory work, and supervision of legal research teams, • Strong professional network of lawyers and legal contacts to support client outreach and GTM efforts, • Comfort with outward-facing work including sales calls, product demos, conferences, and events, • Familiarity with lawyer communication norms and expectations, • Must be authorized to work in the US without visa sponsorship (US citizens and green card holders only), • Must be able to work in person 5 days per week at the New York City office, or willing to relocate Preferred Skills • Litigation experience in class actions, data privacy, or financial services, • Experience at a legal tech or litigation technology company, • Early adopter of legal AI tools, including testing or championing AI purchases at a prior firm, or serving on a tech procurement or innovation committee, • Genuine enthusiasm for AI and legal technology, even without a formal engineering background

Job Description 2Bridge Partners has been engaged in the search for a Staff Software Engineer / Front-End Systems Architect. We’re seeking an experienced Senior Software Engineer with strong C#/.NET, React, and TypeScript skills to help build and scale a real-time data application. Our client offers a comprehensive package including base and bonus with Total cash comp, ranging from 300-400k commensurate with experience. Our client has offices in NYC, and is open to Hybrid, or potentially remote for someone out of the area. This position requires someone who is highly technical from Back to Front End with an emphasis on front-end architecture, real-time streaming (SignalR/WebSockets), and high-performance UI frameworks. You’ll play a key role in designing reusable components and frameworks that drive efficiency and accelerate feature delivery. Responsibilities • Design and evolve the front-end architecture for a real-time, data-intensive platform., • Build and optimize reusable frameworks and tools to speed up UI development., • Implement low-latency, real-time communication using SignalR, WebSockets, and gRPC., • Build and optimize APIs, data models, and streaming pipelines across .NET and React layers to ensure fast, reliable real-time communication., • Lead best practices for state management, normalized data, and client-side caching., • Research and integrate modern front-end technologies, including code generation, AI-assisted tools, and low-code frameworks., • Work with complex data grids (AG Grid, Kendo, etc.) for high-frequency updates. Requirements • 8+ years of experience building and integrating full-stack web applications across .NET and modern JavaScript frameworks., • Advanced skills in React, TypeScript, C#, and .NET., • Strong background in real-time systems, dashboards, or trading-style apps., • Hands-on experience with SignalR, WebSockets, or gRPC integrations., • Experience designing shared component libraries and frameworks for scalability., • Solid understanding of state management patterns and performance optimization., • Bachelor’s degree in Computer Science, Engineering, or related technical field., • NYC-area candidates preferred; hybrid schedule available. Nice to Have • Familiarity with Buf, OpenAPI-TypeScript code generation, or AI-driven UI tools., • Experience with distributed caching, messaging, or mid-tier data distribution., • Background in low-code or page builder frameworks. Benefits • Health, Dental, and Vision coverage, • 401(k) with company match, • Paid vacation and holidays, • Life and Disability insurance

Job Description Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology About Our Client Our client is building an AI-powered platform for marketing leaders. Their technology helps marketing teams focus on brand storytelling while AI agents handle the operationally intensive work behind the scenes, including data management, analytics, campaign generation, measurement, and reporting. The platform is built on a proprietary consumer graph covering more than 270M U.S. consumers and thousands of through-time attributes. On top of that data foundation, our client has built agentic systems that help brands unify first-party data, standardize messy datasets, train targeting models, improve campaign performance, and give marketing teams meaningful time back. The company works with leading consumer brands across sports, financial services, hospitality, real estate, estate planning, and other major categories. They have raised $20M from top-tier investors and are building a deeply technical team with experience across data, AI, marketing, finance, research, and consumer technology. About the Role Our client is hiring a Data Engineer to design, operate, and scale the pipelines, storage layers, and standardization systems that power their data product and AI platform. This role is ideal for someone who is strong in analytics engineering, data modeling, Snowflake-powered warehouses, and resilient data infrastructure. You'll help build and scale the data foundation behind a massive people data product while partnering closely with data scientists, AI engineers, and product teams. This is a high-ownership role for someone who can build reliable pipelines, improve data quality, support large-scale first-party integrations, and help enable AI and agentic access layers on top of structured data. What You'll Do Own ingestion, data modeling, and transformation for a large-scale consumer data product Build and improve features, attributes, and pipelines across hundreds of millions of individuals Scale first-party data integrations with sales, marketing, and customer systems of record Support and improve a growing multi-terabyte data footprint Partner with data scientists to productionize complex data pipelines and modeling workflows Improve data quality, reliability, standardization, and scalability across the platform Build data infrastructure that supports AI-powered products and agentic workflows Enable AI and agentic access layers, including natural language retrieval APIs and structured data orchestration Work on data products that directly support major enterprise customer opportunities Build with modern data infrastructure including Snowflake, lakehouse architecture on S3, Dagster, dbt, and AWS What We're Looking For Strong experience in data engineering, analytics engineering, or data infrastructure Experience owning data modeling and transformations in Snowflake or a similar cloud data warehouse Strong SQL skills and comfort working with large, complex datasets Experience building resilient ingestion pipelines and transformation workflows Experience with tools such as dbt, Dagster, Airflow, or similar orchestration platforms Familiarity with AWS data infrastructure, S3-based lakehouse patterns, or similar cloud environments Strong understanding of data quality, standardization, schema design, and pipeline reliability Ability to partner closely with data scientists and product teams Comfort working in a fast-moving startup environment with high ownership Interest in building data systems that power AI products, marketing intelligence, and agentic workflows Bonus Experience Experience with consumer data, identity graphs, marketing data, or customer data platforms Experience integrating with sales and marketing systems of record Experience building data products for enterprise customers Experience enabling AI, LLM, or agentic access layers on top of structured data Experience with natural language data retrieval, semantic layers, or structured data orchestration Experience working with multi-terabyte datasets or large-scale people data products Why This Opportunity Build the data infrastructure behind an AI-native marketing intelligence platform Work on a large-scale proprietary consumer graph covering hundreds of millions of U.S. consumers Partner with strong technical teams across data science, AI, product, and engineering Help scale first-party data integrations for leading consumer brands Build data systems that directly unlock major enterprise customer opportunities Work with modern data tools across Snowflake, dbt, Dagster, S3, and AWS Join a venture-backed company with $20M raised and strong commercial momentum

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: Lean Engineer, Formal Mathematics (Lean 4, Mathlib, Theorem Proving) Type: Contract Compensation: $90–$110/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities • Write correct, idiomatic Lean 4 statements and proofs that compile against current mathlib. Cover areas such as algebra, analysis, number theory, combinatorics, and logic., • Formalize natural-language mathematics from competition problems and textbook results to research-level lemmas. Ensure the formal statement matches the original., • Review AI-generated Lean statements and proofs. Identify failures or incorrect proofs and provide clear, specific written feedback., • Help define guidelines and rubrics for proof quality, statement fidelity, and mathlib conventions., • Collaborate with other Lean engineers and the lab's researchers to maintain consistent standards and elevate quality. Qualifications Must-Have • Hands-on experience writing formal proofs in Lean 4. Examples include mathlib contributions, a formalization project, or a Lean library or tool., • Comfort with mathlib and Lean 4 tactics. Ability to find and use the right lemmas., • Strong background in proof-based mathematics, theoretical computer science, or logic through a degree or research record., • Ability to turn a written statement and proof into a correct formal statement and a proof that checks., • Engage reliably for at least 20 hours/week during weekdays., • Clear written communication and ability to explain proof strategy and formalization choices precisely. Preferred • Experience with other proof assistants or dependently typed languages (Coq/Rocq, Isabelle, Agda, Haskell)., • Experience with Lean metaprogramming or AI-for-math work such as LLM provers, Lean agent environments, or benchmarks like miniF2F, ProofNet, or PutnamBench. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Equal Employment Opportunity employer. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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: Frontend Engineer Type: Contract Compensation: $90/hour Location: Remote Role Responsibilities • Render a reference page and two candidate replications at 1920×1080. Judge which is the closer reproduction, state by state., • Diff visual fidelity in detail: box model and spacing, typography (family, size, weight, line-height, letter-spacing), color and border treatment, image and asset handling, z-order, and overflow., • Read the source of both attempts and grade construction quality. Distinguish a replication that is genuinely correct from one that merely looks correct at one viewport., • Test responsiveness. Identify defects such as a nav bar that looks right at 1920px but collapses at 1400px., • Write specific, evidence-cited justifications for every preference. Provide detailed explanations like "B nests the article body in a single absolutely-positioned div, so the text overlaps the footer below 1600px, while A uses normal document flow.", • Use the "this task is broken" escape hatch with judgment. Distinguish a task that genuinely cannot be completed from one that is merely hard. Qualifications Must-Have • 3–8 years of professional web development experience in frontend or full-stack work., • Fluency across web eras, including legacy layouts like used for layout., • Command of hand-written HTML and CSS: semantic markup, flexbox, grid, media queries, and legacy float- and table-based layouts., • Browser DevTools as muscle memory., • Command-line comfort: unzipping an archive, standing up a static local server, and untangling a broken image reference., • Enough JavaScript to read a page's scripts and understand their DOM impact., • Professional written English for task justification. Preferred • Prior RLHF, preference-labeling, model-evaluation, or structured code-review work., • Pixel-perfect design-to-code experience., • Accessibility expertise (ARIA, semantic landmarks, heading hierarchy)., • Familiarity with how LLMs fail at code generation., • Web scraping, archiving, or DOM-parsing background., • More than one completed Mercor project and availability in contiguous multi-hour blocks. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Mirage is an AI video company focused on making creation dramatically easier. Our team tackles some of the hardest creative and technical challenges in generative media. We get to rethink how people collaborate with AI that can actually do creative work with them—defining entirely new interaction paradigms for AI-native video tools. We make that possible by building multimodal agents that turn creative direction into edits, rendering engines that composite multiple layers of video and graphics, and generative video models trained from the ground up that create new media when needed. All of this comes together in Captions, our creative workspace for generating, editing, and designing video. The technology behind Captions is now available more broadly: Tesseract gives any AI agent native video-editing capabilities, while developers can integrate our models into their own products through APIs. Explore our work Captions — Our flagship creative workspace Tesseract — Our professional video engine for AI agents Research — The foundation models we build in-house Updates — The latest from Mirage TechCrunch, Forbes, Fast Company — Press Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that most of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the role Backend engineering at Mirage isn’t narrowly defined. We work across product, platform, and machine learning—building the systems, services, APIs, and ML pipelines that power all of our product surfaces. You’ll own critical backend systems end-to-end, partnering closely with product, design, client, and AI teams to turn ambitious ideas into reliable, scalable production systems. This opportunity is ideal for engineers who enjoy solving complex technical problems while staying connected to product and user outcomes. While we don’t use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope. Responsibilities Design, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power our products Solve complex technical challenges across distributed systems, scaling, concurrency, and performance Integrate and operate large generative AI models in production—deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences. Instrument, experiment, and iterate in production to continuously improve system and product quality Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs What Makes You a Great Fit 5+ years of professional industry experience A track record of shipping high‑impact systems and/or products in production Exceptional problem solving fundamentals and ability to learn Excellent engineering taste combined with a strong sense of practicality and time-management Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end Even better if... You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going You are grounded, collaborative, and willing to do whatever it takes to help the team win You have been a startup founder or an early engineer at one Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $175K - $300K

Job DescriptionAI Automation & Agent Engineer We are hiring someone to own AI automation end to end. This is not a research role and it isn't a side project bolted onto another job. You will sit across Sales, Customer Success, Creative, Engineering, Finance, and Marketing, find the work that shouldn't be done by hand anymore, and build the agents, skills, and integrations that take it off people's plates. Responsibilites Embed with departments and find the work worth automating. Run discovery with each team, map their workflows, and build a prioritized backlog of automation opportunities ranked by hours saved, error reduction, and revenue impact. Push back when AI isn't the right answer — a better Salesforce validation rule sometimes beats an agent. Build and ship internal agents and automations. Design, build, deploy, and maintain agents and workflows that connect the systems we already run on: Salesforce, Gmail and Google Workspace, Slack, Zoom, HubSpot, Notion, Asana, Maxio, and the DIGIDECK platform API. This includes writing Claude Skills, standing up MCP integrations, and building the glue code that makes those systems talk to each other. Own the internal AI tooling stack. Be the person who knows what's deployed, what it costs, what's working, and what's stale. Manage access, model selection, spend, and the lifecycle of everything you build. Enable the teams, don't just serve them. Run enablement sessions, write internal documentation, and coach people into building their own prompts, skills, and light automations. Success means AI fluency spreads past you, not that every request routes through you. Measure and report on impact. Instrument what you ship. Bring a quarterly readout to the executive team on hours recovered, adoption by department, cost per workflow, and what you're retiring. Set the guardrails. Establish practical standards for how we use AI with customer and company data — what goes where, what gets human review, how we handle credentials, what we log. Requirements • 3–6 years in software engineering, automation engineering, solutions engineering, or technical operations — with a track record of shipping things people actually used, • Experience with the Anthropic API, Claude Code, Claude Skills, or MCP servers, • Hands-on experience building with LLMs: prompt design, tool use and function calling, structured outputs, retrieval, and evaluating whether output quality is good enough to trust in production, • Fluency administering or integrating with business SaaS systems — Salesforce especially, plus the usual GTM and ops stack, • The consulting instinct: you can walk into a department you know nothing about, ask good questions, and leave with a clear picture of where the time goes, • Ability to explain technical tradeoffs to a CSM, a designer, and a CFO in three different registers, • Sound judgment about security, permissions, and customer data, you know what should never be pasted into a chat window, • Self-directed. You will be handed problems, not tickets. Powered by JazzHR 1wTheJmLi0

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: Mechanical Engineer Type: Contract Compensation: $60–$90/hour Location: Remote Duration: 2 to 3 months Commitment: 40 hours/week Role Responsibilities • Evaluate the quality of mechanical engineering tasks and model outputs. Identify incorrect assumptions, missing constraints, and unsafe design choices., • Write clear instruction specs and produce reference solutions for mechanical engineering problems. Define tasks reflecting real-world engineering practices., • Design challenging tasks and evaluation sets in areas like mechanical design and thermal systems. Collaborate with the research team to build domain-specific tools., • Work with client researchers to maintain consistent standards. Translate engineering judgment into explicit, teachable criteria., • Provide precise, well-structured written feedback to improve AI model performance. Qualifications Must-Have • Bachelor's degree or higher in Mechanical Engineering or related discipline., • 5+ years of professional mechanical engineering experience in industry., • Genuine ownership of real engineering work, such as designing components or systems., • Fluency with engineering tools like SolidWorks, CATIA, NX, Creo, AutoCAD, ANSYS, Abaqus, or MATLAB., • Familiarity with standards like ASME, ASTM, ISO, and GD&T per ASME Y14.5., • Experience with large language models in professional work. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Hourly contractor, Paid weekly. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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: Full-Stack Software Engineer Type: Contract Compensation: $50–$80/hour Location: Remote Role Responsibilities • Write precise product specifications for application development and automatic grading., • Build complete reference implementations that meet all written criteria., • Author browser-driven acceptance criteria to verify user-visible behavior., • Calibrate task difficulty using frontier models to achieve target performance., • Verify tasks fail cleanly against empty repositories to ensure genuine feature development. Qualifications Must-Have • 3+ years of professional full-stack engineering experience., • Fluency in at least one modern frontend framework and one backend runtime., • Experience with auth, permissions, payment flows, and file upload in production., • Ability to specify systems precisely in writing., • Comfort with Docker, Git, and command-line tooling. Preferred • Experience building evaluations, benchmarks, or test suites for AI systems. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Career Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

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, Full Stack (Python, Java, Rust, C#, C++) Type: Contract Compensation: $50–$65/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Build and ship full-stack applications, services, and internal tools using Python, Java, Rust, C#, C++, or TypeScript to exercise frontier model capabilities end to end., • Integrate pre-release model APIs into working software, including tool interfaces, evaluation harnesses, and telemetry., • Diagnose and document model and integration failure modes, translating engineering observations into clear written feedback for the research team., • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification., • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. Qualifications Must-Have • 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization., • Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language., • Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment., • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up., • Ability to engage reliably for at least 40 hours/week during weekdays., • Strong written communication skills and the ability to explain complex technical decisions clearly. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Paid weekly via Stripe Connect. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Title: Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Our client is seeking a motivated and detail-oriented Data Engineer to join our growing data team. In this role, you will work closely with senior data engineers, data scientists, and analysts to support the development, maintenance, and optimization of our data infrastructure. You will play a crucial role in ensuring the accuracy, availability, and performance of our data systems, which underpin our research and analysis efforts. Key Responsibilities: 1. Data Pipeline Development: a. Assist in the design, development, and maintenance of scalable data pipelines to process and integrate data from various sources. b. Implement ELT (Extract, Load, Transform) processes to ensure data is collected, cleaned, and stored accurately. 2. Database Management: a. Support the management and optimization of databases, including data warehousing solutions. b. Ensure data integrity, security, and accessibility. 3. Data Integration: a. Collaborate with data scientists and analysts to integrate new data sources and support data-driven projects. b. Assist in the implementation of data integration solutions and APIs. 4. Performance Optimization: a. Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks. b. Implement performance tuning techniques to improve data processing efficiency. 5. Data Quality and Validation: a. Perform data quality checks and validation to ensure the accuracy and consistency of data. b. Develop and maintain documentation for data processes and workflows. 6. LLM experience: a. Prepare quantitative and qualitative data for easy discovery by LLMs. b. Design and manage vector search infrastructure to support Retrieval-Augmented Generation (RAG) pipelines. 7. Collaboration and Support: a. Work collaboratively with cross-functional teams to understand data needs and provide technical support. b. Contribute to the continuous improvement of data engineering practices and processes. Qualifications: Education: o Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or a Master's degree in Computer Science, Information Technology, Engineering, or a related field with 3-5 years of professional experience. Technical Skills: o Proficiency in SQL and Python. o Understanding of ELT processes and data pipeline development. o Experience with cloud platforms (Google Cloud, BigQuery) is a plus. o Prior experience with dbt and Air Flow is preferred. o Familiarity with CI/CD (Docker and Terraform) and concepts of data integrity. o Familiarity with data visualization tools (e.g., d3, plotly or Carto preferred). Soft Skills: o Strong analytical and problem-solving skills. o Excellent communication and teamwork abilities. o Detail-oriented with a commitment to accuracy

Job DescriptionJob Title: AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most. Key Responsibilities • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity., • Create, refine, and evaluate prompts to improve AI-generated technical outputs., • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback., • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals., • Perform independent research and fact-checking to validate technical information., • Interpret and annotate technical data to support AI model training and evaluation., • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.Required Skills, • Critical Thinking, • Analytical Reasoning, • Quality Assurance, • Prompt Engineering, • AI Output Evaluation, • Technical Documentation, • Technical & Professional Writing, • Content Review & Editing, • Data Annotation, • Fact Checking, • Independent Research, • Business Communication, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role., • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews., • Strong critical thinking, analytical reasoning, and structured problem-solving skills., • Excellent written communication and technical editing abilities., • Experience with AI coding tools or automated documentation tools is a plus but not required., • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.

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: Electrical Engineer, Power Stations Type: Contract Compensation: $70/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities • Review tasks on power station electrical systems, including circuit and control design, switchgear and protection, and power distribution., • Check engineering assumptions, calculations, code and standards use, and equipment data for accuracy and compliance., • Flag ambiguity, missing constraints, and unrealistic deliverables to ensure project feasibility and safety., • Produce clear written findings to communicate technical insights and recommendations effectively., • Work independently and asynchronously to meet deadlines and improve project outcomes. Qualifications Must-Have • Current or recent hands-on electrical engineering experience at a power station, power generation facility, or substation., • Circuit design depth in protection and controls, switchgear, and power distribution., • Experience at a company that builds or delivers power plants, such as an EPC contractor, power generation developer, utility, or owner engineering group., • Resume must clearly show the employer, the facility, and your own electrical scope of work. Start Date • Immediate start Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Capital markets are undergoing a fundamental shift. Assets that live in fragmented systems and manual workflows are moving onto blockchains -systems designed to move and store value more transparently and efficiently. While this unlocks more open and programmable financial systems, it also introduces significant complexity. For most users, interacting with this new infrastructure is still too difficult. Fun builds the infrastructure that powers consumer-facing fintech applications - handling onboarding, account access, and money movement so users can interact with blockchain-based systems as seamlessly as they do with traditional finance. For fintech builders, Fun provides a best-in-class onboarding and deposit stack that drives conversion and unlocks user growth. We operate at the intersection of financial infrastructure, complex engineering, and product experience. Role Overview We're looking for a Protocol Engineer to join our core blockchain team and help build the foundation of Web3 payments infrastructure. This high-impact role offers the opportunity to work on challenging technical problems at the intersection of smart contracts, cross-chain protocols, and decentralized finance. You will design and implement secure, efficient smart contract systems and blockchain integrations that power millions of transactions across multiple chains. This role is perfect for a technically strong engineer who thrives in fast-paced environments and wants to shape the future of decentralized finance. Responsibilities • Design, develop, and deploy secure smart contracts and protocol implementations across multiple blockchain platforms, • Collaborate with backend and product teams to architect blockchain solutions that meet business requirements, • Write highly efficient, well-tested code and participate in security audits to ensure protocol safety, • Research and evaluate new blockchain technologies, protocols, and DeFi primitives for integration opportunities, • Contribute to incident response and debugging on-chain issues to ensure protocol reliabilityRequirements, • Strong experience building and deploying production smart contracts on major blockchain platforms, • Deep understanding of blockchain architecture, consensus mechanisms, and cryptographic principles, • Hands-on experience with smart contract development languages (Solidity, Rust, Move, etc.), • Solid grasp of DeFi protocols, token standards, and cross-chain communication patterns, • Strong security mindset with knowledge of common smart contract vulnerabilities and best practices, • Clear communicator who can explain complex blockchain concepts to cross-functional teamsNice to Have, • Production experience with multiple blockchain ecosystems (Ethereum, Solana, L2s, etc.), • Previously worked at crypto startup or Web3 infrastructure company, • Experience with cross-chain bridges, oracles, or interoperability protocols, • Background with high-volume DeFi protocols or DEX infrastructure, • Contributions to blockchain open source projects or protocol research, • Experience with formal verification or advanced smart contract testing frameworks We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: Data Science and Analytics Experts Type: Contract Compensation: $60–$70/hour Location: Remote Role Responsibilities • Construct enterprise data science scenarios for large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts., • Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale., • Develop data and MLOps scenarios using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms like SageMaker, Vertex AI, and MLflow., • Apply enterprise data science methodologies including statistical rigor, A/B testing frameworks, model validation, and MLOps best practices to produce reference analyses and executive-level insights., • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook or tutorial-level recall. Qualifications Must-Have • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization., • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production., • Fluency in enterprise data science tooling and methodologies, with understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment. Preferred • Prior rubric, technical curriculum, or model documentation authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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: Data Science and Analytics Experts Type: Contract Compensation: $60–$70/hour Location: Remote Role Responsibilities • Construct enterprise data science scenarios for large-scale predictive modeling, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts., • Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale., • Develop data and MLOps scenarios using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms like SageMaker, Vertex AI, and MLflow., • Apply enterprise data science methodologies including statistical rigor, A/B testing frameworks, model validation, and MLOps best practices to produce reference analyses and executive-level insights., • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook or tutorial-level recall. Qualifications Must-Have • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization., • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production., • Fluency in enterprise data science tooling and methodologies, with understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment. Preferred • Prior rubric, technical curriculum, or model documentation authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Top-Tier Investment Management Firm in Midtown, Manhattan is seeking an Associate, AI Engineer for their growing team! We are seeking a hands-on AI Engineer to develop and deploy AI-driven applications for a growing financial services organization. The ideal candidate will have strong Python development skills and experience building production-ready solutions using large language models (LLMs), retrieval-augmented generation (RAG), and modern AI technologies. Responsibilities: • Design, build, and deploy AI applications that improve business processes, research, and data analysis., • Develop generative AI tools utilizing LLMs, RAG, semantic search, and document processing., • Build scalable Python applications and integrate AI solutions with internal systems and databases., • Implement and optimize embeddings, vector databases, and data pipelines., • Collaborate with business stakeholders to identify opportunities and deliver practical AI solutions., • Ensure applications meet performance, security, and reliability standards. Qualifications: • 3–5 years of experience in AI/ML engineering or software development., • Strong Python programming skills and experience deploying AI applications into production., • Hands-on experience with LLMs, RAG, prompt engineering, and AI APIs (OpenAI, Anthropic, or similar)., • Experience with SQL, PostgreSQL, and vector databases such as pgvector, Qdrant, or Weaviate., • Knowledge of data pipelines, document processing, and structured/unstructured datasets., • Strong problem-solving skills and ability to work directly with business stakeholders., • Bachelor's degree in Computer Science, Engineering, or a related field., • Experience in financial services, fintech, or investment management., • Familiarity with Azure, workflow automation, and AI governance.

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: Full-Stack Software Engineer Type: Contract Compensation: $50–$80/hour Location: Remote Role Responsibilities • Write precise product specifications for application development and automatic grading., • Build complete reference implementations that meet all written criteria., • Author browser-driven acceptance criteria to verify user-visible behavior., • Calibrate task difficulty using frontier models to achieve target performance., • Verify tasks fail cleanly against empty repositories to ensure genuine feature development. Qualifications Must-Have • 3+ years of professional full-stack engineering experience., • Fluency in at least one modern frontend framework and one backend runtime., • Experience with auth, permissions, payment flows, and file upload in production., • Ability to specify systems precisely in writing., • Comfort with Docker, Git, and command-line tooling. Preferred • Experience building evaluations, benchmarks, or test suites for AI systems. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionFull-Stack Software Engineer Company: Liquid Location: New York, NY (in person) Compensation: $200,000 - $500,000 + early equity Employment Type: Full-time Visa Sponsorship: No visa sponsorship About Liquid Liquid is a mobile-first, non-custodial trading platform that lets people trade perpetual markets in stocks, pre-IPO companies, indices, commodities, FX and crypto, plus prediction markets, from one app on iOS and Android. It was the first to bring trading into ChatGPT, and its Co-Invest product adds conversational research and execution in Claude, ChatGPT and iMessage. Liquid has raised $25M, including a Series A led by top crypto and fintech investors, is at roughly $7-8M in annualized gross revenue and is growing close to 100% month over month. The team is small, flat and senior. The Role Liquid is hiring Full-Stack Software Engineers (3+ years) to take full product ownership on a fast-growing trading platform as it expands into an institutional business. What You Will Do • Ship production features across web, mobile and backend for a high-velocity trading product., • Own product areas end to end in a flat, high-agency team., • Build for reliability and correctness in a real-money trading environment., • Work directly with senior operators across the company.What You Bring, • 3+ years shipping production software at a high-velocity startup, trading firm or fintech, • Degree from a top computer science program, • Strong academic record, • Excellent communication and collaborationNice to Have, • Quant or trading-firm background (e.g. Two Sigma, Jane Street, Citadel, HRT, SIG), • Experience at Bloomberg, Robinhood, Kalshi, Polymarket or similar, • Full-stack web and mobile ownershipBenefits Early equity, medical, vision and dental coverage, 401(k), wellness benefits, transportation to and from the office, lunch and dinner provided.

Job DescriptionSenior Backend Engineer Piramidal is looking for a backend engineer to help build and scale the infrastructure behind our real time neural monitoring platform. You'll work on hard problems: high throughput streaming, real-time analytics, and hospital grade reliability. This is a full-time role based in our New York office (5 days a week), with required travel to client sites. Candidates must have US work authorization. In this role you will • Build and run Python and Go services that consume, transform, and serve real-time streams of neurological data., • Design, maintain, and improve data models, ingestion pipelines and retention for high frequency time series data, from raw neurological data, to all time series derived from it., • Build and extend the APIs behind clinical workflows., • Work with ML engineers to take models from research to production inference, and keep them running there., • Make the platform observable and dependable: metrics, alerting, capacity planning, and incident follow-up., • Help build software to the standards of a regulated medical device, including cybersecurity, traceability and change control.Your background looks something like, • 5+ years of building and operating backend systems in production, • You can own a problem from an ambiguous start to a running, monitored service, and you can explain your decisions verbally and in writing., • Real experience with event-driven or stream-processing systems: partitioning, checkpointing, backpressure, and at-least-once delivery., • Strong Python, including concurrency (threads vs. processes, asyncio) and testing., • Proficiency with containerization and orchestration, preferably using kubernetes., • Solid relational database skills, from schema design to query performance.Nice to have, • Go, especially for networked or low-latency services., • Azure: Event Hubs, Service Bus, Web PubSub, Blob Storage, AKS., • Apache Arrow, Parquet or other columnar formats., • Video streaming, storage, and processing, • Systems where sub-second latency matters., • Data engineering or warehousing at scale., • Model serving (PyTorch), • Work in healthcare or other regulated software.About Us We are building a first-of-its-kind foundation model for electrophysiological brain data. Our goal is to create scaled neural decoders that enable humans to understand and interact with the language of the brain. Our first product brings a state-of-the-art model into real time clinical workflows, helping clinicians detect and respond to seizures faster. Compensation & Benefits • Base salary range: $250,000 – $300,000, depending on experience and skills., • Meaningful equity plan., • Comprehensive health coverage, including premium medical, dental, and vision plans., • Daily lunch budget.Interview Process, • Initial Screen (30 min): Discussion to ensure timelines, experience, and expectations align., • Technical Screen (1 hour): via Google Meet, • Final Round (in person):, • Coding Problem (1 hour), • System Design (1 hour), • Product Session (1 hour), • Questions (20 minutes)

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: Civil Engineering Expert Type: Contract Compensation: $70–$80/hour Location: Remote Role Responsibilities • Construct civil engineering scenarios for large-scale infrastructure design, permitting, and construction management processes., • Build tasks in structural design, transportation engineering, water resources, geotechnical engineering, and project management., • Develop scenarios using tools like AutoCAD Civil 3D, Revit, STAAD.Pro/ETABS, and HEC-RAS., • Apply methodologies like structural load analysis and hydraulic modeling to US and International standards., • Author rubrics that capture authentic civil engineering judgment. Qualifications Must-Have • 5+ years working as a civil engineer or engineering lead., • Experience with large-scale infrastructure designs and permitting processes., • Fluency in civil engineering tools and methodologies., • Understanding of regulatory approvals and public agency oversight. Preferred • Recognized professional engineering credential (US PE, CEng, EUR ING, or P.Eng)., • Experience in rubric or engineering-training curriculum authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. Job Overview As an Operations Automation Specialist, you will personally resolve provider inquiries — and then build the tools that make resolving them one-by-one unnecessary. Today, resolving a provider's question well requires detailed manual auditing and review across multiple systems. It's careful work, and it doesn't scale. The data needed to answer these questions faster and more accurately already exists across our data sources — and modern AI tools give us the opportunity to bring that work together and scale it in a way we haven't yet. You'll start by doing the job as it exists today: working real provider inquiries, learning the systems, and building the judgment that comes from firsthand experience with the problem. From there, your job shifts toward building — using AI-assisted workflows to resolve inquiries faster, surface patterns worth fixing at the root, and move providers toward getting their answers without needing to contact us at all. This is a new kind of role for Lantern, built specifically because this problem is ready for it. This is a technical role in the lowercase-t sense: you don't need to arrive as a software engineer, and this isn't the data-analyst track either — it's for people with the instinct to spot patterns and automate them away, even without the formal technical background yet to do it at scale. For the right person, it's a deliberate stepping stone toward more technical roles at Lantern over time. We're deliberately not writing this as a data-engineering job. Someone who already codes fluently can thrive here, but so can a business-minded person with real communication skills and the drive to build — the second profile is just as much the target as the first. We're not narrowing this to one experience level. A recent grad with the right instincts is a big part of who we want in the pipeline — but so is someone with five or ten years of practical business experience who has been deliberately building toward exactly this kind of role. More time doing the work often means sharper pattern recognition, not a worse fit. We'll teach you the domain — you don't need to know claims or healthcare going in. What we won't do is teach you SQL or Claude Code step by step; the expectation is that you go figure new tools out largely on your own, the same way people have always picked up new tools on the job. What You'll Do: Resolve, hands-on • Work a live queue of provider claims inquiries — status, payment amount, denial and rejection questions, aged-claim batches — through to accurate resolution, • Audit individual claims across systems to confirm they were submitted, validated, priced, and paid correctly, • Escalate genuine pricing or appeals determinations, and document what you learn so the pattern can eventually be automated Understand the problem at scale • Query claims, pricing, and provider data directly using SQL — you'll pick up our specific tools (including Databricks) on the job — to characterize inquiry volume, root causes, and cost to serve — much of which isn't measured today, • Separate inquiries caused by real payment problems from inquiries caused by providers simply lacking visibility — they need different fixes Build the fix • Design and build AI-assisted workflows that triage inquiries, retrieve the relevant claim and contract facts, validate payments, and draft accurate, provider-ready responses, • Build in verification, not just automation — a confident wrong answer about a payment amount is worse than a slower correct one, • Test against real ticket volume, measure impact honestly, and iterate Push upstream • Where a category of inquiry traces back to a fixable upstream issue — deferred claims, ingestion errors, notification gaps — work the root cause, not just the symptom, • Contribute to provider self-service so fewer questions need to reach us in the first place About You: We're looking for someone with the business and communication fundamentals to do this job well today, plus the eagerness to build the automation that makes it unnecessary tomorrow. This is not a data-engineering posting — a business background, a support/ops background, or a fresh grad with the right instincts can all be a great fit, provided the willingness to learn is real. Core • You can communicate clearly and confidently with providers and internal stakeholders — you can pick up the phone, have a real conversation, and explain what's happening in plain terms, not just write it up, • You have (or can quickly build) a working understanding of the business and financial side of how claims and payments move — you're not purely a technical person who can't connect the dots to what the business needs, • You have a genuine desire to expand your SQL skills and to use Python and AI tools — including agentic coding tools like Claude Code — to improve how work gets done, even if you're not there yet; you'd rather build something than just talk about it, • You think carefully about correctness: your instinct is to ask "how would I know if this were wrong," and then build the check, • You're comfortable in ambiguity, in an environment where the documentation is thin and the systems don't always agree with each other, • You start by actually doing the resolution work — the same work our team does well every day — because you can't build good automation for a process you haven't done yourself; understanding it that closely is what makes the eventual automation worth trusting Strongly preferred • Hands-on SQL and/or Python experience, and real fluency with modern AI tools — including agentic coding tools like Claude Code — with something you've actually built with them to show for it, • A year or more of work experience — internship, part-time, or full-time — especially something that required real conversations with people (customers, providers, clients), • Background or coursework in process improvement — comfortable getting into how a workflow actually operates today, spotting where it breaks, and proposing a fix, • A business, finance, economics, or business-intelligence academic background — these programs tend to build in real SQL (and often some Python and AI-tool) exposure alongside the communication and financial-literacy skills this role needs, • Exposure to revenue cycle, claims, payer operations, or provider billing — deep expertise isn't required, we'll teach the domain, but prior contact with how claims get paid shortens the ramp meaningfully, • Experience in a support, service, or operations function, with an instinct for what the person on the other end actually needs Not required • A formal software engineering background or computer science degree — you're not building distributed systems, you're using tools that already exist to make an operational process dramatically better, • Already being an expert in SQL, Python, or AI tooling — what we're looking for is real curiosity and a track record of teaching yourself new tools; we'll give you real problems, context, and room to grow into them, not a step-by-step curriculum, • Hands-on experience with Databricks or other enterprise data-engineering tooling — that's specific to our internal stack, and you'll pick it up here with real access and context once you're on the team, • Any specific number of years of "AI experience" — the tools are too new for that bar to mean anything yet; genuine, demonstrated use matters, not tenure What Success Looks Like At 3 months: You're resolving provider inquiries independently, including complex ones. The inquiry population is measured and segmented for the first time. At least one AI-assisted workflow is live and measurably cutting down manual handling. At 6 months: A growing share of provider inquiries are resolved without a manual research step. Cost per resolved inquiry is down, resolutions per person are up, and more providers are getting answers without needing to contact us at all. Location & Logistics Hybrid | Dallas, TX or New York, NY | 3 days per week in office (required due to the sensitivity of the data this role handles) Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other reason prohibited by law in the provision of employment opportunities and benefits. Benefits: • Medical Insurance, • Dental Insurance, • Vision Insurance, • Short & Long Term Disability, • Life Insurance, • 401k with company match, • Paid Time Off, • Paid Parental Leave Compensation: Base salary range: $90,000–$120,000, depending on relevant experience, location, and qualifications. About You: • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins., • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with., • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas., • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change., • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear., • You thrive in a Team Environment. Collaboration is key in innovation and creating change. These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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: Civil Engineering Experts Type: Contract Compensation: $70–$80/hour Location: Remote Role Responsibilities • Construct civil engineering scenarios for large-scale infrastructure design cycles, multi-stakeholder permitting, and regulatory review., • Build tasks across structural design, transportation engineering, water resources, geotechnical engineering, and construction project management., • Develop engineering scenarios using tools such as AutoCAD Civil 3D, Revit, STAAD.Pro/ETABS, HEC-RAS, and enterprise project management platforms., • Apply civil engineering methodologies like structural load analysis, geotechnical site assessment, and hydrology/hydraulic modeling. Produce reference design plans and stakeholder-facing technical narratives., • Author rubrics to distinguish authentic civil engineering judgment from generic textbook recall. Qualifications Must-Have • 5+ years working as a civil engineer or engineering lead at a major firm, construction company, or public infrastructure agency., • Direct ownership of large-scale infrastructure designs or construction project delivery., • Fluency in civil engineering tooling and methodologies, plus understanding of regulatory approvals and public agency oversight. Preferred • Professional Engineer (PE) license strongly preferred., • Experience in rubric, engineering-training curriculum, or design documentation authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionPosition - Senior Java Developer Location - Downtown NYC Environment - Onsite Term - 12-month assignment Pay Rate - $85.00-$110.00 per hour on W2Senior Java Engineer Experience: 10+ years Position Overview We are seeking a highly experienced Senior Java Engineer to serve as a hands-on technical contributor and subject matter expert within a complex enterprise environment. This individual will design, develop, test, and support scalable applications while partnering closely with product and engineering teams to solve complex technical challenges. The ideal candidate brings deep Java/Spring expertise, modern front-end development experience, strong knowledge of DevOps and CI/CD practices, and experience working across the full software development lifecycle. Key Responsibilities • Design, develop, configure, test, and optimize enterprise applications and supporting technologies., • Translate business and technical requirements into scalable, maintainable technical solutions., • Develop secure, high-quality applications following established SDLC/PDLC and secure coding standards., • Create technical design documentation and participate in architecture and solution discussions., • Develop and integrate REST APIs and JSON-based services., • Perform unit, integration, and functional testing., • Conduct peer code reviews and promote software engineering standards, design patterns, and development best practices., • Partner with Product, Engineering, DevOps, and other technical teams to troubleshoot and resolve complex issues., • Support CI/CD, DevOps, test automation, databases, and application environments., • Provide production support, including troubleshooting, root cause analysis, incident management, and service requests., • Operate as a senior individual contributor with limited supervision and independent technical judgment.Required Technical Experience, • 10+ years of software engineering/application development experience., • Strong Java development experience, preferably Java 8+., • Strong Spring ecosystem experience, including Spring Boot, Spring MVC, Spring Integration, and Spring Security., • Front-end development experience with Angular, TypeScript, JavaScript ES6+, HTML5, and CSS3., • Strong SQL and relational database experience, including Oracle., • REST APIs and JSON integrations., • CI/CD and DevOps experience with tools such as Jenkins, GitHub, and GitLab., • Secure coding and application security practices., • Unit, integration, and functional testing., • Strong understanding of SDLC/PDLC, software engineering principles, and data modeling.Preferred / Additional Experience, • AWS and cloud technologies., • WebSphere Application Server or Liberty and MQ., • Docker, Kubernetes, and OpenShift., • NgRx and RxJS., • Connect and shell scripting., • Python development experience., • Agentic AI development tools, including Claude Code., • Experience incorporating AI-assisted development into enterprise software engineering workflows.Professional Skills, • Excellent technical and business communication skills., • Strong analytical, debugging, and problem-solving capabilities., • Ability to work independently within complex enterprise environments., • Strong collaboration with Product, Engineering, Architecture, and business stakeholders., • Ability to research complex technical issues and drive them through resolution.

Job Description About Atria: The Atria Health Institute is a membership-based primary and specialty health care practice with a focus on prevention and longevity. We bring together a multidisciplinary team of renowned physicians to provide proactive, preventive, and precision-based care for Atria members and their families. All care, including primary care, advanced screening and diagnostics, urgent care, specialty care, 24/7 home visits, and imaging is included in members’ annual fee. Our mission is to make healthspan and lifespan equal for all by translating science into medicine in real-time, all while bringing humanity back into health care. Delivering such robust, personalized, and preventive health care is complex and requires a team-wide dedication to excellence. After successfully opening our flagship Institute in New York in 2022 and expanding to South Florida in 2024, we are now bringing the Atria experience to the West Coast with the launch of our Los Angeles Institute in late spring 2026. Atria Health is seeking a Staff Software Engineer for our Foundations team, working across Platform, DevOps, and Data Engineering. This is a senior individual contributor role responsible for leading the technical direction of our platform, with a focus on EMR integrations (particularly Athena), systems infrastructure, caching strategies, and robust internal tooling and support for our domain product teams (Clinical Experience, Member Experience, and Care Delivery). You'll own the design and implementation of core platform services while acting as a force multiplier for engineering across the organization. You'll partner closely with engineers and clinical leaders to turn ambiguous problems into clear technical strategies, ensure architectural consistency across teams, and take end-to-end ownership of complex, multi-team initiatives from idea to launch. From defining solutions to ensuring strong monitoring and clean analytics in Mixpanel, you'll care deeply about both how we build and what we achieve. Tech Stack • Languages: TypeScript, • Backend: Node.js, Express, • Frontend: React, Honeypot SDK, • Infrastructure: Google Cloud Platform, Terraform, • Databases: MySQL, PostgreSQL, Redis, • Integrations: Athena EMR, wearable platforms, third-party healthcare APIs, • Tooling: GitHub, Sentry, Okta, Mixpanel, OmniKey ResponsibilitiesTechnical Leadership & Architecture, • Partner with the Sr. Director, Foundations to define and drive the technical vision and direction for the Foundations group., • Lead architecture decisions for integration patterns, caching infrastructure, and shared services, and design the APIs, data models, and integration patterns that let teams build new clinical and member experiences without reinventing the wheel., • Serve as a technical escalation point for complex platform challenges, and conduct design reviews to ensure services meet reliability, performance, and security standards., • Raise the bar on reliability and performance by driving SLOs, capacity planning, and incident-ready designs for the systems you own., • Personally execute on the highest-priority and most technically challenging projects, and own end-to-end delivery for complex initiatives that cut across multiple product teams and services.Application Performance, • Design and implement strategies that improve application performance and reduce external API dependencies., • Build and maintain caching infrastructure with appropriate invalidation patterns., • Monitor and optimize platform performance, identifying bottlenecks and implementing improvements., • Establish best practices and patterns for product teams to adopt.Platform & Product Team Enablement, • Act as a partner to product engineering teams, understanding their needs and providing platform solutions that accelerate development., • Build and maintain shared libraries, SDKs, and internal APIs that improve developer productivity., • Create documentation, examples, and guidelines for consuming platform services., • Provide technical guidance and support during product team integration efforts.Quality, Observability & Analytics, • Embed testability in designs: meaningful unit and functional tests, contract tests between services, and automated checks where they matter most., • Ensure new features are instrumented with high-quality analytics in Mixpanel, with events and properties that stay consistent across products., • Work with Product and Data to set up dashboards and monitoring that reflect real user and clinical outcomes, not just vanity metrics., • Drive post-incident reviews and systemic improvements when things break.Mentorship & Culture, • Mentor senior and mid-level engineers through design guidance, pairing, and thoughtful code review., • Help define and uphold engineering standards: coding conventions, architecture patterns, and documentation norms., • Model a pragmatic, product-focused mindset that balances high standards with iterative delivery and experimentation. Compensation: $200,000 - $280,000 (based on location) Requirements Core Experience • ~8+ years of professional software engineering experience, with significant time as a senior/staff IC building product experiences in production., • A track record of owning and shipping multi-team projects in modern web stacks., • Experience working closely with product and design on user-facing features., • Comfortable leading technical decisions in ambiguous domains and defending those decisions with clear tradeoffs.Technical Skills, • Strong full-stack skills: you can design an API and data model, build the UI that consumes it, and wire up monitoring and metrics., • Deep familiarity with at least one cloud provider and infrastructure-as-code., • Strong instincts around systems design: reliability, performance, security, and cost all feature in your thinking., • Excellent debugging and incident-response skills; you're comfortable digging into logs, traces, and data to understand issues.Leadership & Collaboration, • Proven ability to lead through influence: aligning multiple teams and partners on technical direction without needing direct authority., • Comfort working in a highly cross-functional environment with clinicians, operations, and research in the loop., • Clear written and verbal communication; you can explain complex technical topics to both engineers and non-technical stakeholders., • You enjoy mentoring and leveling up the people around you.Nice to Have, • Experience in healthcare, digital health, or other regulated domains (HIPAA, PHI, SOC 2, etc.)., • Exposure to EHRs, wearables integrations, or other health data platforms. Benefits At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, fully covered by Atria, effective date of hire, • OneMedical membership for employees & dependents, giving access to 24/7 virtual care, • Fertility & family planning, • Company-covered preventive health screenings through partner hospitals (calcium score), • Fitness Perks, including Wellhub +, • 401k contributions and 4% match starting after 6 months, • Flexible Time Off, • Continuing medical education (CME) and CEU support for professional licensure

Job DescriptionWhy AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we're looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $600K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything. If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply! About the role: AssemblyAI is growing quickly, and we're hiring a Forward Deployed Engineer for our Triage team. You'll own a book of customer accounts up to $50K a year. You'll solve their technical problems directly and build and run the agents that handle our first line of customer contact. Most of your work happens in Slack, with customers and with our Engineering and Research teams. This role is hybrid. You'll need to live within commuting distance of our NYC office. What You'll Do: • Own your accounts. Be the technical owner for customers spending up to $50K a year. Diagnose integration issues, unblock them fast, and spot accounts that are ready to grow. Route commercial and pricing conversations to our Portfolio team., • Build and manage agents. We run internal agents for customer support and operations, including our customer-facing chat agent, which you'll help bring back online. You'll iterate on these agents, build new ones, and own their quality., • Turn escalations into fixes. When our chat agent can't resolve something, it escalates to you. Solve the customer's problem, then fix the agent so it handles that case next time., • Close the loop with Engineering and Research. File bugs and feature requests with enough evidence to act on, and turn what customers tell you into product changes., • Improve our docs and SDKs. Fix what's confusing customers at the source.What You'll Need:, • 2+ years in a technical, customer-facing role (solutions engineering, technical support, developer relations, or software development). We'll consider 1 year for someone with a strong solutions background., • Proficiency in at least one programming language. Python preferred; other languages considered., • Daily use of coding agents like Claude Code or Codex, with real projects shipped using them. You manage context across long tasks and check agent output before it reaches a customer., • Experience with REST APIs, and the ability to read and debug customer code, • Strong written communication. Most of this job happens in Slack., • Ability to hear a customer use case and map it to what our API can doNice to Have:, • You've built an agent or automation that other people rely on, • SQL, • Experience with speech, audio, or voice AI productsWhere this role leads: Triage is where you learn our product, our customers, and how we build with agents. Engineers who do well here move into larger books on our Portfolio and Strategic teams. Your manager will work with you on what that path looks like and the timeline. Pay Transparency: AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team. Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer. Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team. The range shared below represents a general expectation for the posted position. However, we are open to considering candidates who may fall above or below the outlined experience level—in those cases, we will communicate any adjustments to the expected salary range. The range provided applies to candidates located in the United States. For candidates outside of the U.S., compensation ranges may differ; any adjustments will be communicated throughout the interview process. Salary range: $115,000 - $135,000 Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and working alongside the team in our New York City office. A 401k match up to 4% is offered to all US-based full time team members. AI to Interview: If you're selected for an interview, please review this resource to better understand how AssemblyAI approaches the use of AI in our interview process. GDPR privacy notice: Candidates from the EU should review this job applicant privacy notice before applying. Keep Exploring AssemblyAI: Speech-to-text | Streaming speech-to-text | Speech Understanding | LLM Gateway Try the Playground Our $50M Series C fundraise Check us out on YouTube!

Job DescriptionWhat you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality), • Expertise in SQL, job experience, and demonstrated strength with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake), • Expertise with SQL tuning, Spark development, medallion and event-driven architectures., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackWhat you'll get here: You'll work on problems that matter, at a company working to change healthcare at scale. You'll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you'll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It's demanding by design. You'll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: • Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com. Equal Employment Opportunity:Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

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: Nuclear Engineering & Safeguards Experts for Red Team Type: Contract Compensation: $65–$75/hour Location: Remote Role Responsibilities • Write challenging single-turn prompts in the nuclear domain, labeled as benign, dual-use, and adversarial., • Evaluate AI model responses against a defined policy standard to judge correctness., • Write reference answers with technical reasoning to illustrate correct responses., • Develop prompts that test AI models' ability to discern misuse potential in technical requests., • Provide detailed written rationales for judgments to ensure clarity for non-specialists., • Work independently and asynchronously with flexible hours to improve AI model evaluation. Qualifications Must-Have • Experience in safeguards and nonproliferation., • Background in fuel-cycle and material control., • Prior technical writing, published research, or expert witness experience., • Ability to write and evaluate misuse scenarios in the nuclear field. Preferred • Red-teaming experience., • Experience as a Safeguards Analyst, Nuclear Engineer, or Nuclear Security Engineer., • Background in Nuclear Forensics or Nonproliferation Analysis. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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: Civil Engineering Expert Type: Contract Compensation: $70–$80/hour Location: Remote Role Responsibilities • Construct civil engineering scenarios spanning large-scale infrastructure design cycles, multi-stakeholder permitting, and regulatory review., • Build tasks across structural design and analysis, transportation and highway engineering, water resources and environmental engineering, and geotechnical engineering., • Develop engineering scenarios using tools like AutoCAD Civil 3D, Revit, STAAD.Pro/ETABS, HEC-RAS, and enterprise project management platforms., • Apply civil engineering methodologies such as structural load analysis, geotechnical site assessment, and hydrology/hydraulic modeling to standards tracks like US: ASCE 7, ACI 318, AISC 360, AASHTO LRFD and International: Eurocodes EN 1990-1998 and ISO., • Author rubrics that distinguish authentic civil engineering judgment from generic textbook or coursework-level recall. Qualifications Must-Have • 5+ years working as a civil engineer or engineering lead., • Direct ownership of large-scale infrastructure designs, permitting processes, or construction project delivery., • Fluency in civil engineering tooling and methodologies., • Understanding of regulatory approvals, environmental review (NEPA or international equivalent), and public agency oversight. Preferred • A recognized professional engineering credential (US PE, CEng, EUR ING, or P.Eng)., • Prior rubric, engineering-training curriculum, or design documentation authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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: Electrical Engineering Expert Type: Contract Compensation: $70–$80/hour Location: Remote Role Responsibilities • Construct enterprise electrical engineering scenarios for complex circuit and systems design cycles, multi-stakeholder design reviews, and manufacturing or regulatory certification processes at F500 accounts., • Build tasks across F500 power systems, grid infrastructure, semiconductor and PCB design, embedded systems, firmware, signal processing, and control systems engineering., • Develop engineering scenarios using tools such as Altium Designer, Cadence, MATLAB/Simulink, SPICE simulation platforms, and enterprise PLM/EDA systems in F500 stacks., • Apply enterprise electrical engineering methodologies like circuit analysis and simulation, EMC/EMI compliance, control theory, and reliability analysis against standards tracks (US: NEC / NFPA 70, NESC, IEEE; International: IEC)., • Author rubrics that distinguish authentic enterprise electrical engineering judgment from generic textbook or coursework-level recall. Qualifications Must-Have • 5+ years as an electrical engineer or engineering lead at a Fortune 500 or major technology, industrial, or energy company (e.g., Intel, Texas Instruments, GE, Siemens, Tesla, ABB, Schneider Electric)., • Direct ownership of large-scale circuit designs, power systems, or engineering certification programs., • Fluency in enterprise electrical engineering tooling and methodologies, plus understanding of safety standards, regulatory certification (NEC / NFPA 70, IEEE, UL, FCC, IEC), and cross-functional design governance. Preferred • A professional engineering credential (US PE or an international equivalent such as CEng or EUR ING)., • Prior rubric, engineering-training curriculum, or design documentation authorship. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Silicon Photonic Packaging & Process Engineer About Voyant Photonics Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. The Opportunity: As a Principal Silicon Photonic Packaging & Process Engineer, you will lead the development and scaling of precision opto-mechanical assembly processes. You will work closely with photonics, mechanical, and test teams to translate design concepts into R&D builds then into repeatable production processes. You will also partner with our contract manufacturers to qualify lines, improve yields, and drive continuous process improvements. This is a unique opportunity to take ownership of critical opto-mechanical and electronic assembly processes that define the precision, yield, and quality of Voyant’s LiDAR modules. You will establish new package designs focused on robust, high-yield manufacturing processes, optimize production at our global contract manufacturers, and help scale complex, high-precision processes from R&D to high-volume production. Your work will directly impact Voyant products, accelerating time-to-market, reducing cost, and ensuring consistent product quality across global manufacturing sites. This position requires willingness to travel up to 25% domestically and internationally, both within the United States and internationally (primarily Europe and Asia), to support process transfer, line qualification, and build execution at our manufacturing partners. Key Responsibilities Package Design: Familiarity with various packaging technologies including organic and ceramic substrates. Wafer level packaging and 2.5D/3D assembly processes as well as those listed below. Identifying and initiating business with substrate suppliers and assembly houses. Working through the design process mechanically, thermally and electrically to create the optimal solution while staying within supplier manufacturing capabilities. Creating CAD models for simulation and performing simulations to verify designs prior to release. Precision Lens Assembly: Own process definition and control for automated microlens alignment and bonding. Program motion sequences, optimize camera and vision-based routines, and tune process parameters (alignment offsets, bonding dwell, UV cure profiles, placement forces) to achieve sub-micron accuracy and high yield. Die Placement Process Ownership: Define and maintain process parameters for high-precision die-attach and placement equipment. Drive correlation between pick-and-place accuracy, epoxy flow, and bond-line thickness for consistent optical coupling. Epoxy and Adhesive Dispense Control: Establish and control parameters for automated dispense systems. Develop dispense recipes controlling needle diameter, pressure, time, temperature, and material conditioning. Characterize cure profiles and shrinkage impacts on optical alignment stability. Yield and DOE Execution: Design and execute structured DOEs to characterize process sensitivity and optimize yield. Use statistical methods to quantify variability and identify dominant factors affecting alignment accuracy, void formation, or optical loss. Reliability and Qualification: Familiarity with microelectronics and photonics reliability and qualification standards such as Telecordia, JESD47 and AEC-Q. Also able to lead Root Cause Corrective Actions (RCCAs) with suppliers, Design and Process FMEA’s and DOE planning. Measurement and GR&R: Define measurement methods and run GR&R studies on critical parameters (e.g., placement accuracy, epoxy volume, bond-line thickness). Ensure metrology tools and data systems at the CM are calibrated and controlled. Factory Execution and Scale-Up: Lead the implementation of robotics, automation, and material handling solutions by partnering with automation suppliers and contract manufacturers to enable scalable, high-throughput production. Drive failure analysis (FA) and corrective actions (CA) on process-related issues, and continuously improve yield, throughput, and takt time. Partner with the contract manufacturer to qualify processes, train operators, and own line readiness for precision optical assembly builds. Qualifications: BS or MS in Mechanical, Manufacturing, Photonics, or Electrical Engineering (or equivalent experience) 10+ years hands-on experience in semiconductor, photonics packaging, or precision opto-mechanical assembly environments CAD modeling and simulation, SolidWorks preferred experience Deep familiarity with automated alignment and die-attach systems Strong understanding of adhesive dispense physics (viscosity, wetting, cure shrinkage) and related automation equipment Proficiency with DOE methods, SPC, and Minitab (or equivalent tools) Demonstrated experience working with automation solution providers and contract manufacturers to transfer and adapt prototype processes into high-volume production Excellent problem-solving skills and ability to collaborate across mechanical, optical, and test teams Willingness to travel up to 25% domestically and internationally Preferred Qualifications: Experience with automated micro-optics or fiber alignment processes Experience in standard optics alignment and assembly for lens-to-PIC coupling Familiarity with standard micro-electronic assembly (die attach, wire bond, hermetic lid seal, PCBA/SMT) Understanding of cleanroom protocols and ESD control best practices Familiarity with ISO 9001 process control or automotive-style production quality systems Understanding of photonic packaging materials (epoxies, UV adhesives, underfills) and their environmental stability Background in precision metrology systems (e.g., digital microscopes, interferometers, or confocal profilers) Experience with Finite Element Analysis for both mechanical and thermal simulations Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law. Compensation Range: $150K - $250K

Job Description At Curaleaf, we're redefining the cannabis industry with a strong commitment to quality, expertise, and innovation. As a leading global cannabis provider, our brands—including Curaleaf, Select, and Grassroots—offer premium products and services in both medical and adult-use markets. Join us at Curaleaf to be part of a high-growth, purpose-driven company that champions corporate social responsibility through our Rooted in Good initiative, supporting community outreach and positive change. Here, you'll have the opportunity to make a meaningful impact, drive innovation, and help shape the future of cannabis. Title: Principal MEP and Facilities Engineer Location: Remote / Field : You need to be close to a major Airport Travel: Up to 60% of the time Job Type: Full-Time, Exempt Position Summary The Principal MEP and Facilities Engineer serves as a technical leader responsible for the design, construction, commissioning, and optimization of cultivation, manufacturing, laboratory, and distribution facilities across Curaleaf's global portfolio. This role focuses on environmental control systems and facility infrastructure that support highly regulated cultivation and manufacturing operations. The ideal candidate will bring expertise in HVAC, MEP systems, building automation systems (BAS), environmental controls, and facility utilities, with a strong understanding of how temperature, humidity, airflow, ventilation, and CO₂ systems work together to create optimal indoor growing and production environments. This individual will partner closely with Operations, Facilities, Construction, Quality, and Compliance teams to develop practical engineering solutions, manage contractors and vendors, support capital projects, and drive facility performance across domestic and international operations. Key Responsibilities • Lead facility design, construction, commissioning, and infrastructure improvement projects across cultivation, manufacturing, laboratory, and distribution sites., • Provide technical expertise for HVAC, MEP systems, environmental controls, facility utilities, and building automation systems., • Support the design and optimization of controlled environment cultivation facilities, including temperature, humidity, airflow, ventilation, and CO₂ management., • Coordinate and manage engineering consultants, contractors, vendors, and cross-functional project teams., • Conduct facility assessments and technical due diligence for acquisitions, expansions, and capital projects., • Review facility infrastructure, utility capacity, and engineering designs to support operational and business objectives., • Partner with Operations, Quality, Compliance, and Facilities teams to troubleshoot issues and implement sustainable solutions., • Support facility readiness for GACP, GMP, and EU-GMP regulated environments., • Promote OSHA compliance and safe facility design and operation standards. Required Qualifications • Bachelor's degree in Engineering, Facilities Engineering, Construction Management, or a related technical discipline., • 10+ years of experience supporting industrial, manufacturing, agricultural, pharmaceutical, food production, cannabis, or other regulated facilities., • Strong knowledge of HVAC systems, MEP infrastructure, environmental controls, and facility utilities., • Experience managing facility design, construction, renovation, or capital improvement projects., • Experience coordinating contractors, vendors, consultants, and cross-functional stakeholders., • Working knowledge of building automation systems (BAS) and facility controls., • Strong problem-solving skills with the ability to translate engineering concepts into practical operational solutions., • Knowledge of OSHA regulations and facility safety standards. Preferred Qualifications • Professional Engineer (PE) license., • Experience supporting cannabis cultivation, manufacturing, extraction, or processing facilities., • Experience with controlled environment agriculture (CEA), greenhouse, or indoor cultivation operations., • Experience with laboratory, clean-room, pharmaceutical, or other regulated production environments., • Experience with commissioning, qualification, validation, or facility startup activities., • Working knowledge of GACP, GMP, and EU-GMP facility requirements., • Experience managing engineering consultants, contractors, and complex design teams., • International facility engineering experience, including exposure to Canadian or European operations. Curaleaf Pay Transparency $131,000—$159,000 USD What We Offer: • Career Growth Opportunities, • Competitive Pay and Benefits, • Generous PTO and Parental Leave, • 401(K) Retirement Plan, • Life/ Disability Insurance, • Community Involvement, • Referral Bonuses and Product Discounts Benefits vary by state, role type, and eligibility. Follow us on Social Media: Instagram: @curaleaf.usa Twitter: @Curaleaf_Inc LinkedIn: Curaleaf LinkedIn Curaleaf Holdings, Inc. (TSX: CURA) (OTCQX: CURLF) ("Curaleaf") is a leading international provider of consumer products in cannabis with a mission to enhance lives by cultivating, sharing, and celebrating the power of the plant. As a high-growth cannabis company known for quality, expertise and reliability, the Company, and its brands, including Curaleaf, Select, Grassroots, Find, and Anthem provide industry-leading service, product selection and accessibility across the medical and adult-use markets. Curaleaf International is powered by a strong presence in all stages of the supply chain. Its unique distribution network throughout Europe, Canada and Australasia brings together pioneering science and research with cutting-edge cultivation, extraction and production. Home | Curaleaf | Cannabis with Confidence Our Vision: To be the world's leading cannabis company by consistently delivering superior products and services and driving the global acceptance of cannabis. Our Values: • Lead and Inspire., • Commit to Win., • ONE Curaleaf., • Driven to Deliver Excellence. Curaleaf is an equal opportunity employer. Curaleaf recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Individuals adversely impacted by the war on drugs are encouraged to apply. Current Curaleaf employees should apply for open positions through our Internal Job Board, which can be accessed via the link on The Leaf. ***Please note that U.S. immigration rules and regulations are governed by federal law; not state law. Although Curaleaf operates in states that have legalized and decriminalized marijuana, it is still considered a controlled substance under federal regulations and thus illegal under federal law. For this reason, unless and until federal law changes, Curaleaf is prohibited from offering sponsorship for any non-immigrant or immigrant visas. ***Please also note that while candidates who are Lawful Permanent Residents (such as those with Green Cards) are eligible for employment with, and are hired by Curaleaf, working for a company engaged in a business that grows and sells a product that is illegal under federal law might compromise the candidate's immigration status. Before a Lawful Permanent Resident accepts an offer of employment, Curaleaf recommends that the candidate seek the advice of an immigration lawyer.

Job DescriptionAmpcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Location: NY/NJ, Columbus, Delaware Duration: 6-month assignment with the possibility of extension/conversion to FTE Job Description: We are seeking a skilled Agentic AI Developer/Engineer to join our team. The ideal candidate will have experience in developing AI systems that exhibit autonomous behaviour and decision-making capabilities. You will be responsible for designing, implementing, and optimising AI models that can operate independently and adapt to dynamic environments. Responsibilities: • Design and develop AI models with agentic capabilities, focusing on autonomy and decision-making., • Collaborate with cross-functional teams to integrate AI solutions into existing systems., • Deep understanding of Models, and experience in model development and MLOps., • Experienced in Agentic AI, RAG, MCP, Tools, Memory, etc., • Conduct research and stay updated on the latest advancements in agentic AI technologies., • Frameworks: LangGraph, AutoGen, ADK or CrewAI, Languages: Python or Java, Protocols: A2A, MCP., • Models: AWS Bedrock, Azure OpenAI, Claude, etc., • Governance, debugging, monitoring, evaluation, etc. AgentOps., • Implement machine learning algorithms and frameworks to enhance agentic behaviour., • Optimise AI models for performance, scalability, and reliability., • Agent Evaluation, Security, Performance, Governance Policies, Explainability, Audit, debugging, Monitoring, Observability., • Test and validate AI systems to ensure they meet quality standards and business requirements., • Document AI development processes and provide technical support as needed.Requirements:, • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field., • Proven experience in AI development, with a focus on agentic systems., • Strong programming skills in languages such as Python, Java, or C., • Experience with machine learning frameworks like TensorFlow, PyTorch, or similar., • Knowledge of reinforcement learning and autonomous systems., • Ability to work independently and collaboratively in a team environment., • Excellent problem-solving skills and attention to detail., • Familiarity with natural language processing and computer vision., • Understanding of ethical considerations in AI development.Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

Job Description Japanese IT company seeks a Engineer, Professional Services 1. Title of Job • Japanese Bilingual IT Engineer, Professional Services 1. Description of Responsibilities • Configure internal-office server, PC, network, telephony hardware, and software for customers., • Perform on-site installation of server, PC, network, telephony hardware, and software for customers., • Perform troubleshooting for remote & on-site server, PC, network, telephony hardware, and software for customers., • Provide supports of server, PC, network, telephony hardware, and software administration to customers., • Perform installation and troubleshooting at site. (Required business trip.), • Compose and issues work records and project records of installation and configuration for each customer., • Report and archive actual solution and countermeasure of troubleshooting for future reference., • Report the status of each project and troubleshooting progress to your team/project leader., • Perform product research and market trend analysis as requested by your team leader., • Draft proposal and/or quotation for customers as requested by your team leader., • Control projects, vendors and sub-contractors for delivery and completion of projects on time. < Technical Qualifications > • Maintain the following latest standards of technologies to provide appropriate IT-solutions to meet the customer's requirement., • Microsoft, Citirx, VMware and other major software vendor's product., • Cisco, Fortinet, Palo Alto and other major network vendor's devices., • Unix/Linux, Windows server operation and maintenance., • Security software and solutions for servers and PCs., • Local and Wide Area Network technologies., • Virtualization and storage technologies., • Proficiency in Japanese and English. 1. Reporting • This position reports to Manager, department of Professional Services. Others will be designated by President & CEO if necessary.

Job DescriptionAbout Us We are building the next generation of tax-advantaged separately managed accounts (SMAs) — a platform that fuses institutional-grade quantitative research, scalable technology, and hands-on client expertise. Our mission is to deliver hyper-personalized, tax-aware portfolios at scale. We're not looking for a “relationship manager.” We’re looking for an investment athlete who can sit at the intersection of clients, quants, and code — people who are fluent in markets, comfortable in Python, and credible in front of sophisticated allocators. The Role As a Senior Client Portfolio Manager (CPM), you’ll translate quantitative insights into client outcomes and answers. You’ll partner with portfolio managers, engineers, and customer success representatives, to customize portfolios, explain performance and risk, and help scale a platform that is redefining wealth management. This is a high-visibility role where you’ll be trusted to: • Engage directly with clients/advisors as an ambassador of the SMA platform., • Interpret portfolio data — exposures, tax trades, drift, risk — and explain in a way clients can act on., • Run analyses in Python (pull time series, diagnose factor exposures, validate tax trades, build quick diagnostic dashboards)., • Collaborate with research and engineering teams to translate client needs into features and workflow improvements., • Proactively monitor accounts for opportunities: tax-loss harvesting, transitions, customization, compliance with restrictions. What We're Looking For • 3+ years experience in asset management, wealth management, or investment consulting with direct client responsibility., • Strong command of equity markets, factor risk, and tax-aware investing., • Hands-on Python skills — you don’t need to be an engineer, but you must be able to slice data, run analyses, and speak the same language as quants and developers., • Ability to context-switch between technical deep dives and client-ready narratives., • Proven record of earning trust with sophisticated clients/advisors., • CFA charterholder, or equivalent advanced credential preferred. Why Join • Impact: Help define the future of tax-aware SMAs., • Exposure: Work alongside leading investment, quant, and fintech professionals., • Growth: Rapid career trajectory in a high-visibility, high-growth business., • Culture: Entrepreneurial, collaborative, and relentlessly client-focused. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Burns: Burns Engineering provides professional engineering design and project management services for transportation, facilities, and infrastructure projects. We help our clients attain their strategic goals and initiatives through successful large-scale infrastructure projects. Burns' full-service capabilities include mechanical, electrical, civil, structural, transportation, and energy consulting engineering. Recently voted a Top Workplace by Philly.com, we credit our strength as an organization to our talented, driven, vibrant team. Burns is an ENR Top 500 Firm, and has been named an MEP Giant by Consulting-Specifying Engineer Magazine, as well as a Hot Firm by Zweig. We are industry experts, proven leaders, innovative thinkers, and team players. We put our clients' successes and best interests first, because their success is our success. We have fun at work because we love making a difference in the world. We are looking for high-energy, bright, collaborative individuals who want the opportunity to "write their own story" with us. Burns Engineering is currently seeking a licensed Electrical Engineer to join our Facilities & Infrastructure Team in New York City, NY. SUMMARY The Engineer I will be responsible for performing technical engineering tasks, technical studies and investigations, and designs on assigned projects. The Engineer I will be mentored by senior level engineering staff, will work with more autonomy, and will complete engineering tasks of moderate complexity. ESSENTIAL DUTIES & RESPONSIBILITIES • Complete discipline specific engineering for systems and designs of moderate complexity., • Assist in developing design approaches and concepts on projects with moderate complexity. Consult with senior technical staff when needed., • Assist in the development of proposals and presentations to clients., • Perform specific engineering studies and design analyses and assist the Project Manager in establishing budgets, cost estimates, and project schedules., • Review drawings, RFIs, and records of changes and communicate directly with suppliers, contractors, and client representatives as required. Consult with senior technical staff when needed., • Perform on-site surveys and inspections during design and construction stages and issue written reports noting deficiencies. Consult with senior technical staff when needed., • Assist in the coordination of project designs with other disciplines and teams., • Attend client and/or project meetings when requested., • Write technical specifications with oversight from senior technical staff., • Assist Project Manager with the delegation, collaboration, and review of project work tasks of CAD Operators, CAD Technicians, Designers, Co-Ops, Interns, Engineering Design Associates, and Engineering Associates., • May lead in developing design approaches and concepts on projects of low complexity. Consult with senior technical staff when needed., • Perform all tasks in compliance with Burns (and, when applicable, a client's) standards, policies, procedures, and engineering codes., • Perform all tasks efficiently, accurately, within the allotted project hours, and complete tasks on or before the due date., • Observe, understand, apply and retain Burns technical policies, procedures, design analyses, calculations, engineering methodology and codes, and equipment selection criteria of low to moderate complexity., • Complete special tasks as assigned. SUPERVISORY RESPONSIBILITIES • No formal supervisory responsibilities. Under the oversight of the Project Manager, the Engineer I may provide direction to CAD Operators, CAD Technicians, Designers, Co-Ops, Interns, Engineering Design Associates, and Engineering Associates. EDUCATION & EXPERIENCE • Professionally Licensed Engineer with a Bachelor's (B.S.) Electrical Engineering degree and at least 5-8 years related experience and/or training; or equivalent combination of education and experience. CERTIFICATIONS, LICENSES, REGISTRATIONS • Professional Engineering License is required at this level. PREFERRED EXPERIENCE • Progressive engineering experience working on tasks of moderate complexity., • Strong knowledge in the use of engineering design software such as AutoCAD or Revit and other specialized design software as required., • Strong critical thinking skills and the ability to solve problems of moderate complexity with minimum supervision from leaders or management., • Progressive ability to perform technical calculations., • Ability to research and interpret engineering discipline codes and standards., • Ability to multi-task, organize, and prioritize work., • Ability to prioritize tasks, work on multiple assignments and manage changing assignments in a team environment., • Proactive, good communicator (oral and written), and strong analytical and problem-solving skills to trouble shoot and assess key issues to address., • Ability to collaborate, build relationships and work effectively with a team., • Previous experience in consulting is highly preferred. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities: This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. California Privacy Notice: If you are a California resident, please review our California Applicant Privacy Notice to learn how we collect, use, and disclose personal information during the recruiting process: click here

Job Description A leading quantitative investment firm is seeking an experienced software engineer to build and enhance the technology stack that supports systematic research and trading. The team develops platforms and tools used by quantitative researchers and portfolio managers to generate, test, and deploy investment strategies at scale. This is a highly collaborative role working at the intersection of software engineering and quantitative investing. Engineers own projects end-to-end, from architecture and development through production deployment and operational support. Key Responsibilities • Build and maintain software supporting quantitative research, data processing, model development, and automated trading workflows., • Develop Python-based libraries, tools, and frameworks that improve research productivity and scalability., • Design and optimize C++ applications for performance-critical production systems., • Partner closely with researchers and investment professionals to translate complex business requirements into robust technical solutions., • Improve system reliability, observability, testing, and operational excellence., • Troubleshoot challenging technical issues across research and production environments., • Contribute to engineering best practices through design reviews, testing, and mentorship. Ideal Background • 5+ years of professional software engineering experience supporting production systems., • Strong expertise in Python, C++, or both., • Excellent software engineering fundamentals, including architecture, debugging, performance optimization, and maintainability., • Experience building data-intensive, distributed, or mission-critical applications., • Strong problem-solving ability, ownership mentality, and willingness to learn new domains., • Effective communication skills and experience working with cross-functional technical stakeholders., • Degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related field (or equivalent experience). Preferred Qualifications • Exposure to quantitative finance, systematic investing, financial markets, or market data., • Experience with Linux, cloud infrastructure, distributed systems, GPUs, data platforms, or low-latency applications., • Familiarity with machine learning, numerical computing, simulation, optimization, or large-scale data processing. \nCompany Description Operating as part of Phaidon International, Selby Jennings is a multi-award winning global recruitment organization focused on servicing the financial industry. By breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals. We work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places. From our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility. Operating as part of Phaidon International, Selby Jennings is a multi-award winning global recruitment organization focused on servicing the financial industry.\r\n\r\nBy breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals.\r\n\r\nWe work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places.\r\n\r\nFrom our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility.

Job Description:\n\nLead Mechanical HVAC Design Engineer\nCompany Name: MG Engineering D.P.C.Location: New York City, NYProject Focus: Mechanical Engineering, HVAC and Building Systems, Central Plants, Building Electrification, High-Rise, Healthcare, Life Science, Commercial, Institutional, Hospitality, Residential, and Mission-Critical ProjectsWork Setting: Full-Time | New York City Office | Integrated MEP Engineering EnvironmentBase Salary: $120,000-$220,000+ annually (DOE)Total Compensation Package: Potential total compensation of $140,000-$260,000+, medical, dental, vision, retirement benefits, paid leave, professional development, licensure support, and leadership advancement opportunitiesRecruited Exclusively By: Luxus Group\nPosition Overview\nMG Engineering D.P.C. is seeking an accomplished Lead Mechanical HVAC Design Engineer to provide technical leadership and design oversight for complex building projects from its New York City headquarters. This is a high-impact opportunity for an experienced mechanical engineer who can lead sophisticated HVAC designs, guide multidisciplinary project teams, mentor developing engineers, and collaborate directly with architects, owners, contractors, utilities, commissioning professionals, and public agencies.\nThe Lead Mechanical HVAC Design Engineer will oversee projects from feasibility, due diligence, and conceptual planning through design development, construction documents, agency approvals, bidding, construction administration, commissioning, and closeout.\nThe position requires advanced knowledge of airside and waterside HVAC systems, central heating and cooling plants, building automation, energy modeling, heat-load calculations, ventilation, smoke control, building electrification, energy-code compliance, and New York City regulatory requirements. The ideal candidate combines strong technical expertise with project leadership, quality control, client communication, interdisciplinary coordination, and team development.\nCore Responsibilities\n\n Lead the planning, analysis, design, and documentation of HVAC systems for new construction, renovations, infrastructure upgrades, and building-repositioning projects\n Establish project design criteria, system concepts, performance requirements, and engineering standards\n Direct the preparation of mechanical drawings, specifications, calculations, equipment schedules, control sequences, and technical reports\n Lead the design and evaluation of variable air volume, constant-volume air-handling, dedicated outdoor air, variable refrigerant flow and variable refrigerant volume, chilled-water, heating hot-water, steam and condensate, condenser-water, heat pump and heat-recovery, packaged rooftop and split, fan coil, and water-source heat pump systems\n Lead the design of central utility plants, chillers, boilers, cooling towers, pumps, energy-recovery ventilation, laboratory ventilation and exhaust, healthcare HVAC, commercial kitchen ventilation, smoke-control and stair-pressurization, data room and mission-critical cooling, building automation and direct digital controls, and mechanical equipment for high-rise buildings\n Evaluate HVAC alternatives based on first cost, lifecycle cost, energy performance, carbon emissions, resiliency, redundancy, maintainability, acoustics, indoor environmental quality, and available space\n Perform or oversee heating- and cooling-load calculations, ventilation calculations, and outdoor-air requirements\n Size and select air-handling units, chillers, boilers, cooling towers, pumps, heat exchangers, terminal units, fans, heat pumps, and specialty equipment\n Prepare or review airflow and ventilation calculations, hydronic pipe sizing, duct sizing and pressure loss, pump head calculations, equipment schedules and selections, psychrometric analyses, energy-code calculations, equipment lifecycle and efficiency evaluations, pressurization and air-balance strategies, fuel-use and building-load analyses, and central plant capacity studies\n Lead the evaluation and design of central heating and cooling infrastructure, including concepts involving chillers, boilers, heat pumps, cooling towers, heat exchangers, thermal storage, and pumping systems\n Assess central plant performance, capacity, condition, and remaining useful life, and develop recommendations that balance capital investment, efficiency, resilience, maintenance, and long-term operating costs\n Lead or support the conversion of fossil-fuel-based heating systems to electric or hybrid alternatives, and evaluate air-source, water-source, ground-source, and heat-recovery heat pump applications\n Develop practical electrification strategies for new and existing buildings and analyze electrical-service implications in collaboration with the electrical engineering team\n Support compliance strategies associated with New York City building-emissions requirements\n Develop phased decarbonization plans that account for budgets, equipment life, occupancy, and building operations, and integrate heat recovery, energy recovery, thermal storage, and high-efficiency system concepts\n Serve as the senior mechanical technical authority for assigned projects\n Work closely with Project Managers to establish scope, schedule, budget, staffing, technical milestones, and deliverables\n Direct the work of engineers, designers, energy professionals, and BIM/Revit staff, and delegate assignments based on project requirements, team capabilities, and development goals\n Identify design, coordination, permitting, energy, and construction risks early and develop mitigation strategies that protect project quality, schedule, and financial performance\n Ensure mechanical designs comply with the New York City Mechanical Code, Building Code, Energy Conservation Code, Fuel Gas Code, and Fire Code, the New York State Energy Conservation Construction Code, ASHRAE standards and guidelines, NFPA requirements, the International Mechanical Code when applicable, Local Laws and agency requirements, and owner-specific design standards\n Support New York City Department of Buildings filings, submissions, objections, and approvals, and coordinate with FDNY, NYC Department of Environmental Protection, utilities, and other authorities having jurisdiction\n Maintain working knowledge of requirements associated with Local Law 97, building emissions and benchmarking, energy-code compliance, building electrification, refrigerants, indoor air quality, smoke control, and special inspection and commissioning\n Provide technical leadership for specialized HVAC environments including hospitals and outpatient facilities, laboratories and life-science facilities, cleanrooms and controlled environments, higher-education and research buildings, commercial high-rises, residential towers, hotels and entertainment venues, data rooms and critical facilities, museums and cultural institutions, kitchens and food-service facilities, and historic and landmark buildings\n Design systems that address critical pressure relationships, filtration, humidity, temperature, ventilation, and redundancy requirements, applying relevant ASHRAE, FGI, CDC, USP, and owner-specific standards when required\n Lead surveys and assessments of existing mechanical systems, including HVAC equipment, distribution systems, controls, ventilation, central plants, and utility infrastructure\n Coordinate mechanical systems with electrical, plumbing, fire protection, fire alarm, architectural, structural, civil, lighting, technology, security, and specialty-consultant teams\n Participate in BIM coordination and clash-detection reviews, and confirm that mechanical rooms, shafts, louvers, equipment clearances, access paths, and service spaces are properly incorporated\n Coordinate electrical characteristics and emergency-power requirements for mechanical equipment, and coordinate drains, makeup water, gas, fuel oil, and condensate requirements with plumbing engineers\n Coordinate fire and smoke dampers, smoke-control systems, and fire alarm interfaces\n Develop HVAC control sequences and building automation system requirements, and coordinate control points, sensors, safeties, alarms, trending, scheduling, and system interfaces\n Lead discipline-specific QA/QC reviews at major project milestones, reviewing drawings, specifications, calculations, reports, equipment selections, and agency submissions\n Develop and maintain standardized details, calculation templates, specifications, design procedures, and quality-control checklists, and promote consistent engineering practices across project teams and offices\n Integrate energy efficiency and sustainability goals into mechanical-system designs and support LEED, WELL, ENERGY STAR, Passive House, and other building-performance initiatives when applicable\n Serve as a senior mechanical engineering contact for clients, architects, developers, owners, contractors, and consultants, and lead technical discussions during client meetings, presentations, and design workshops\n Provide senior engineering leadership during bidding, construction, testing, commissioning, and closeout\n Review equipment submittals, shop drawings, controls submittals, testing procedures, substitutions, and contractor proposals, and respond to requests for information and resolve unforeseen field conditions\n Conduct site visits and field observations to evaluate construction progress and compliance, and participate in preconstruction meetings, coordination meetings, equipment startups, punch-list inspections, and commissioning activities\n Coordinate with contractors, inspectors, commissioning providers, and authorities having jurisdiction, and review record drawings, operating manuals, training documentation, and closeout materials\n Lead, mentor, and develop mechanical engineers, designers, and BIM/Revit staff, providing technical guidance on HVAC systems, codes, calculations, equipment selection, controls, specifications, and construction practices\n\nRequired Qualifications\n\n Education: Bachelor's degree in Mechanical Engineering, Architectural Engineering, or a closely related discipline\n Experience: Eight or more years of progressively responsible mechanical and HVAC design experience\n Consulting Background: Significant experience working within an MEP consulting engineering environment\n Technical Leadership: Demonstrated experience leading mechanical design assignments and coordinating multidisciplinary teams\n System Expertise: Strong technical knowledge of airside and waterside HVAC systems\n Documentation: Experience preparing mechanical drawings, specifications, calculations, schedules, reports, and agency submissions\n Codes & Standards: Working knowledge of applicable mechanical, energy, building, fuel gas, fire, and ASHRAE requirements\n Software: Proficiency with Revit and AutoCAD\n Load Calculation Software: Experience with HVAC load-calculation software such as Trane TRACE, Carrier HAP, IESVE, or similar applications\n Construction Administration: Experience reviewing equipment submittals, controls packages, and construction RFIs\n Project Delivery: Ability to lead multiple projects and prioritize competing deadlines\n Communication: Excellent technical writing, communication, organization, and leadership skills\n Field Work: Ability to conduct field surveys and participate in construction-phase site activities\n\nPreferred Qualifications\n\n Experience: Twelve or more years of mechanical HVAC design experience\n Licensure: Professional Engineer license in New York\n Licensure Path: EIT certification with active progress toward PE licensure may be considered for a candidate with strong leadership experience\n Engineer of Record: Experience serving as Engineer of Record or senior mechanical technical reviewer\n NYC Expertise: Advanced knowledge of New York City codes, agency filings, energy requirements, and construction practices\n Central Plants: Experience designing central utility plants and complex heating and cooling infrastructure\n Project Experience: Experience with healthcare, life sciences, laboratories, higher education, commercial high-rise, residential high-rise, hospitality, or mission-critical projects\n Electrification: Experience with building electrification, decarbonization, and Local Law 97 compliance strategies\n Smoke Control: Experience designing smoke-control and stair-pressurization systems\n Quality Leadership: Experience leading formal QA/QC or peer reviews\n Analysis Tools: Proficiency with energy modeling, computational fluid dynamics, or central plant optimization tools\n Market Relationships: Established relationships within the New York architecture, engineering, construction, institutional, or real estate market\n Team Leadership: Experience supervising engineers and developing future technical leaders\n Credentials: LEED AP, WELL AP, CEM, CPD, HBDP, BEMP, BCxP, or other relevant credentials\n\nWhat Success Looks Like\n\n Deliver technically accurate, coordinated, energy-efficient, and constructible HVAC designs\n Establish clear technical direction at the beginning of each project\n Anticipate and resolve design, code, energy, agency, and construction challenges\n Reduce redesign through thorough calculations and interdisciplinary coordination\n Consistently meet project schedules and quality expectations\n Build confidence with clients, architects, agencies, contractors, and commissioning teams\n Strengthen the technical capabilities of developing engineers and designers\n Improve design standards, QA/QC practices, and project-delivery efficiency\n Help MGE secure repeat assignments and expand strategic client relationships\n Become a trusted technical leader within MGE's New York mechanical practice\n\nCompensation & Benefits\n\n The anticipated base salary range for this position is $120,000-$220,000+ annually\n Potential total compensation may range from approximately $140,000-$260,000+, depending on experience, professional licensure, technical expertise, project leadership, client relationships, and broader value to the firm\n The compensation range is intentionally broad to accommodate candidates ranging from experienced HVAC design leaders through senior professionals capable of assuming expanded technical, project, client, or practice leadership\n Medical, dental, and vision insurance\n Retirement plan\n Paid vacation, sick time, personal time, and holidays\n Flexible spending account\n Supplemental insurance options\n Professional development and continuing education\n PE licensure and professional-association support\n Leadership and career-advancement opportunities\n Final compensation and benefits will be determined based on qualifications and confirmed during the interview process\n\nAbout MG Engineering D.P.C.\nMG Engineering D.P.C. is a full-service engineering firm specializing in mechanical, electrical, plumbing, fire protection, fire alarm, lighting, commissioning, sustainability, central energy, enhanced construction administration, and technology service

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 2+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 2+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. Bonus Points: Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $120,000-$140,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job Description Our client a leading asset management firm, located in New York City is looking to hire an AI Engineer to join their Business Technology and Data Team. This is a Full Time Position. Work will be conducted 3 days in office and 2 day from home. Citizens and those authorized to work in the U.S. are encouraged to apply. Qualified candidates should send their resumes (Word Format) along with salary expectations to Daniel@velocitysgi.com . SUMMARY The AI Engineer will work closely with the Investment Research team to design, build, and support AI-enabled tools that improve research productivity, insight generation, knowledge discovery, and investment decision support. This role will partner with research analysts, portfolio teams, business technology, data, compliance, and operations stakeholders to identify high-value AI use cases and deliver practical, secure, and scalable AI products. The ideal candidate has a strong AI/ML foundation and hands-on experience building AI products, including generative AI applications, retrieval-augmented generation, natural language processing, model evaluation, prompt engineering, data pipelines, and production-ready software engineering practices. The ideal candidate will support AI initiatives within the investment research area while helping establish reusable patterns, standards, and governance for responsible AI adoption. RESPONSIBILITIES • Partner with the Investment Research team to identify, prioritize, and deliver AI use cases that support research workflows, knowledge management, document analysis, data analysis, and decision support., • Design and build AI products and tools, including generative AI assistants, research copilots, summarization tools, semantic search, document intelligence, workflow automation, and analytics-enabled applications., • Develop retrieval-augmented generation solutions using structured and unstructured data sources, including research notes, filings, earnings transcripts, market data, internal documents, and approved external content., • Build and maintain data ingestion, preprocessing, embedding, vector search, model orchestration, and evaluation pipelines to support reliable AI applications., • Apply strong AI/ML, natural language processing, and software engineering practices to design scalable, secure, maintainable, and user-friendly solutions., • Evaluate models, prompts, data sources, outputs, and user feedback to improve accuracy, relevance, explainability, and adoption of AI tools., • Collaborate with data architects, data engineers, application developers, infrastructure, cybersecurity, and compliance teams to integrate AI solutions with enterprise platforms and controls., • Implement responsible AI practices, including access controls, human-in-the-loop review, auditability, data privacy, model risk awareness, content validation, and appropriate usage guidelines., • Prototype quickly with business users, translate research needs into technical requirements, and move successful prototypes into supported production solutions., • Create documentation for AI solution architecture, data flows, model behavior, prompt patterns, evaluation results, operating procedures, and support processes., • Monitor emerging AI technologies, tools, frameworks, and investment research use cases, and recommend practical opportunities for adoption., • Provide ongoing support, troubleshooting, enhancements, and user training for AI tools deployed within the investment research area. REQUIREMENTS • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field; Master's preferred., • 3 5 years of experience in AI/ML engineering, applied ML, or software engineering, with at least one AI application running in production., • Retrieval-augmented generation (RAG) end to end: document chunking strategy, embedding models, vector search, hybrid and metadata-filtered retrieval, and measuring retrieval quality (recall@k, relevance evaluation sets)., • Embeddings in practice: choosing and migrating between embedding models (e.g. OpenAI, Gemini, open-source), handling token and context limits, caching, and re-indexing large corpora without downtime., • Vector and relational databases: strong SQL and PostgreSQL, including pgvector or a comparable vector store (Qdrant, Weaviate, Milvus). Schema design for chunks, metadata, and multiple embedding versions., • LLM application engineering: prompt engineering, structured outputs, tool and function calling, agent workflows (including MCP or similar tool protocols), evaluation, and guardrails. Experience with Anthropic Claude and/or OpenAI APIs., • Production Python: batch pipelines that hold up at scale (memory-bounded processing, retries, API rate and token limits, idempotent re-runs), plus testing, version control (Git), logging, and clear documentation., • Unstructured financial documents: extracting and structuring SEC filings (10-K, 10-Q, 8-K, 20-F, 6-K), earnings-call transcripts, PDFs, and HTML, and cleaning messy enterprise data., • Data analysis: profiling, validating, and reconciling data from market-data providers (e.g. FactSet) and internal sources to support AI outputs., • Working with stakeholders works directly with portfolio managers and analysts to gather requirements, ships fast iterations, and explains AI trade-offs (accuracy, cost, latency) in plain language., • Governance: understands data privacy, security, and responsible AI in a regulated investment firm, including handling material non-public information (MNPI), access controls, auditability, and AI usage policy. PREFERRED QUALIFICATIONS • Experience in investment management, equity research, or financial services., • Scheduling and operations for data pipelines (Windows Task Scheduler, cron, Airflow or similar), and deploying to Azure and/or IIS., • Building lightweight internal tools and dashboards (HTML/JavaScript, charting libraries) on top of AI pipelines., • Experience setting up governed self-service AI for business users, such as shared prompt projects and review-and-deploy workflows., • Familiarity with LLM cost monitoring and model-selection trade-offs. KNOWLEDGE, SKILLS, AND ABILITIES • Product-oriented mindset with the ability to move from prototype to reliable enterprise solution., • Strong analytical, problem-solving, and critical-thinking skills with attention to accuracy, usability, and business value., • Ability to collaborate effectively with investment professionals, technology teams, data teams, and control functions., • Strong communication skills and the ability to explain AI capabilities, limitations, risks, and trade-offs to technical and non-technical audiences., • Curiosity and continuous learning orientation in a rapidly evolving AI technology landscape., • Strong documentation discipline, including solution design, testing results, support procedures, and user guidance. Salary 160k

Job DescriptionFULL-STACK SOFTWARE ENGINEER — GENERATIVE AI Global Investment & Technology Firm | New York City J Harlan Group is conducting a search for a FULL-STACK SOFTWARE ENGINEER — GENERATIVE AI for a world-renowned global investment and technology firm headquartered in New York City. THE OPPORTUNITY The firm is seeking an exceptional Full-Stack Software Engineer to join its Generative AI Services team, building production AI applications and services used across the firm. This is a hands-on engineering role for someone excited about turning rapidly evolving LLM and Generative AI capabilities into reliable production software. You'll work across the stack—building AI-powered applications, user interfaces, APIs, and backend services—and help integrate Generative AI into practical, high-value workflows. You'll also have the opportunity to explore emerging technologies including RAG and retrieval, AI agents, tool calling and orchestration, AI evaluation, and AI-native software development. The opportunity combines the engineering rigor of building sophisticated production systems with the chance to help determine how Generative AI gets applied in practice across one of the world's leading investment and technology firms. The firm is looking for an exceptional software engineer who wants to work at the intersection of full-stack engineering and Generative AI—turning rapidly evolving AI capabilities into reliable, production-quality applications used by real people. The firm values engineers who are intellectually curious, creative, collaborative, and hands-on and who thrive in a collegial, fast-paced environment. PRINCIPAL RESPONSIBILITIES As a Full-Stack Software Engineer — Generative AI, you will help design, build, and deploy the firm's next generation of AI-powered applications and services. Generative AI Application Development • Build and deploy production Generative AI and LLM-powered applications., • Integrate LLMs and emerging AI technologies into real-world applications and business workflows., • Build intuitive AI-enabled products that make advanced AI capabilities useful and accessible to users across the firm., • Explore emerging approaches in retrieval, agents, tool integrations, evaluation, and AI-assisted software development. Full-Stack Engineering • Develop full-stack applications, user interfaces, APIs, and backend services supporting Generative AI capabilities., • Design and implement modern web applications and interfaces that make AI tools accessible and effective., • Develop production APIs and backend services that power AI applications and integrate with internal systems., • Engineer applications for reliability, scalability, security, performance, and maintainability. Production Engineering • Own software across the full lifecycle - from design and architecture through development, testing, deployment, monitoring, and continuous improvement., • Apply rigorous software engineering practices to rapidly evolving AI technologies., • Help ensure AI applications are reliable, observable, maintainable, and ready for production use. Cross-Functional Collaboration • Collaborate with engineers, product managers, designers, researchers, and business teams to identify and build high-value AI solutions., • Translate user and business requirements into sophisticated, user-centered technical solutions., • Participate in technical discussions, code reviews, and broader engineering initiatives. IDEAL CANDIDATE PROFILE The ideal candidate combines excellent software engineering fundamentals and full-stack development experience with a strong interest in Generative AI and LLM-powered software. Software Engineering • Excellent computer science and software engineering fundamentals., • Experience designing, building, testing, deploying, and supporting production-quality software., • Strong problem-solving and system-design capabilities., • Experience working across the full software development lifecycle. Full-Stack Development Strong experience building both user-facing applications and production backend services, including: • Modern web applications and UI technologies, • APIs and backend services, • Databases and data-intensive applications, • Cloud infrastructure and production deployment Relevant experience may include technologies such as Python, JavaScript/TypeScript, React/Next.js, Node.js, REST APIs, SQL/NoSQL databases, AWS, or comparable technologies. Equivalent technology experience is welcome. Generative AI • Strong interest in Generative AI, LLMs, and AI-powered software., • Hands-on experience building LLM or Generative AI applications is highly valued, particularly experience taking AI capabilities beyond prototypes and into production. GENERATIVE AI EXPERIENCE THAT STANDS OUT Hands-on experience in one or more of the following areas is particularly attractive: • Production LLM and Generative AI applications, • RAG, retrieval, enterprise search, or document intelligence, • AI agents, tool/function calling, and workflow orchestration, • AI evaluation, grounding, reliability, and observability, • AI-native software development using Claude Code, Codex, Cursor, GitHub Copilot, or similar tools, • AI platform or harness engineering, including context, state, tools, permissions, orchestration, failure recovery, and monitoring Candidates are not expected to have deep experience in every one of these areas. Strong software engineers who have meaningful Generative AI experience and want to go deeper are encouraged to explore the opportunity. MINDSET & CULTURAL ALIGNMENT The firm is particularly interested in engineers who: • Are intellectually curious and enjoy experimenting with emerging technologies., • Have a strong builder mentality and remain hands-on with software development., • Enjoy solving complex technical and business problems., • Take ownership of what they build and care about delivering reliable production systems., • Communicate effectively with both technical and non-technical colleagues., • Thrive in a highly collaborative, intellectually rigorous environment., • Have a passion for Generative AI and software engineering and want to have an outsized impact through the products they build. If you or anyone in your network would be interested in this opportunity, please send a resume to Jerry Goldberg at jgoldberg@jharlan.com or contact us directly at (212) 792-0099. ABOUT THE CLIENT The firm is a globally recognized investment and technology firm known for its rigorous, multidisciplinary approach to problem-solving. The firm combines quantitative methods, fundamental research, and advanced computational systems to support its investment strategies. They have a relentless focus on innovation and integration: innovation in new products, markets, businesses, tools, models, and technology; and integration of fundamental research, quantitative strategies, and technical analysis, supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people are critical to their success. They offer an opportunity to develop one's professional career while working alongside individuals trained in a variety of disciplines in a collegial and dynamic environment. They seek high-energy self-starters who want to join an investment management firm on the leading edge of global markets. The firm values individuals of the highest professional caliber who are leaders, problem solvers, analytical, detail-oriented, collaborative, and entrepreneurial. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound judgment, • Able to digest complexity while maintaining an understanding of the big picture, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry and believes these standards are foundational to its long-term success. SALARY RANGE: The expected annual base salary for this position is $225,000 to $325,000. The compensation and benefits package also includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, along with benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family-building benefits, and a charitable gift-match program. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. J Harlan Group, LLC is an executive search and advisory firm specializing in recruiting for Financial Services, Management Consulting, and Public Accounting companies. The organization is a global leader in professional staffing and consulting services, working with major companies in the U.S. and global investment capitals around the world. Built by industry leaders to meet the talent demands of highly professional and specialized roles, J Harlan Group, LLC operates under the highest professional and quality standards, providing a customized project approach for each client and search assignment.