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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 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.

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.

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 Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. As a Forward Deployed AI Product Manager at Iterative Health, you will work cross functionally to identify, build, and deploy AI-powered solutions that transform how clinical research operations are executed. This is a highly hands-on role that sits at the intersection of product, engineering, and operations. You will partner closely with end users to understand their workflows, identify opportunities where AI can create meaningful leverage, rapidly prototype solutions, and deploy them into production. The ideal candidate combines strong product instincts with technical fluency and a builder mentality. You are equally comfortable sitting alongside a clinical operator to understand a workflow as you are working with engineers and AI tooling to bring a solution to life. You will work across Clinical Operations, Site Operations, Trial Enrollment, Business Development, and Corporate Functions, identifying high-impact opportunities and owning them from concept through deployment and adoption. This role reports to the Product organization and partners closely with Engineering, Data Science, Security, and Operational Leadership teams. Where You'll Drive Impact • Embed within internal business teams to deeply understand workflows, decision-making processes, pain points, and opportunities for automation and augmentation, • Translate complex operational challenges into well-defined AI solutions with measurable business outcomes, • Design, prototype, and deploy AI-powered workflows and agentic systems leveraging modern LLM platforms, orchestration frameworks, and internal data infrastructure, • Own the full product lifecycle, including discovery, solution design, implementation, testing, rollout, adoption, and ongoing optimization, • Establish evaluation frameworks that measure AI performance against operational, quality, and business outcomes, • Partner with engineering, data, and security teams to ensure solutions meet company standards for reliability, governance, compliance, and scalability, • Work through the operational and technical details required to move solutions from proof-of-concept to production, • Identify patterns and opportunities that can evolve from one-off solutions into reusable platform capabilities, • Bring field insights and learnings back to Product and Engineering leadership to inform future investment decisions and product strategy, • Contribute to the evolution of Iterative Health's AI operating model, including tooling, evaluation methodologies, governance practices, and development standards, • Travel occasionally to business units, research sites, and company offices as needed (estimated less than 15%), • Perform related duties as requested You Might Thrive in This Role If • You enjoy operating in highly ambiguous environments and creating structure where none exists, • You are equally effective working with executives, operators, engineers, and data scientists, • You can quickly understand how people actually work and identify opportunities to improve workflows through technology, • You value rapid experimentation and iterative learning over lengthy planning cycles, • You have strong judgment about where AI adds value and where traditional solutions may be more appropriate, • You are energized by building and deploying solutions that create immediate impact for users, • You are comfortable moving between strategy, execution, and hands-on problem solvingWhat You Bring to the Team, • 4+ years of experience building and shipping software products, AI applications, technical solutions, or production systems, • Hands-on experience working with large language models, including prompt engineering, agent design, retrieval-augmented generation (RAG), evaluation frameworks, and workflow automation, • Strong technical fluency with modern AI development workflows and tooling, • Experience collaborating directly with end users to understand business problems and translate them into scalable solutions, • Familiarity with programming languages such as Python and the ability to work effectively with technical teams throughout implementation, • Ability to navigate ambiguity, prioritize effectively, and drive outcomes with limited direction, • Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences, • Demonstrated ownership mindset and bias toward action Preferred • Experience in healthcare, clinical research, or another regulated domain (HIPAA, GxP, financial services), • Background as a technical founder, early engineer at a startup, or in a customer-facing engineering role (FDE, solutions engineering, applied AI), • Interest in growing toward a senior product role over time — this role is designed as a natural bridge, • Experience with agent frameworks (Claude Agent SDK, LangGraph, AgentCore, etc.), MCP servers, or production LLM evaluation tooling, • Familiarity with EMR systems, clinical trial operations, or healthcare data standards (FHIR, OMOP), • Experience working with messy, real-world data and turning it into something useful without pretending it's clean What Success Looks Like Within your first 12 months, you will: • Deploy multiple AI-powered workflows that deliver measurable improvements in efficiency, quality, speed, or user experience, • Establish trusted partnerships with operational teams across the organization, • Develop repeatable frameworks for evaluating and scaling AI applications, • Identify and help operationalize reusable platform capabilities that accelerate future AI development, • Drive meaningful adoption of AI solutions across key business functionsHow We Work, • Collaborative and low-ego team environment, • Fast-moving and highly iterative culture, • Strong focus on ownership and accountability, • Mission-driven and patient-centered mindset, • Open communication and continuous learning, • Comfortable navigating evolving business needsBenefits That Support YouWe believe great teams do their best work when they feel supported — professionally and personally., • Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office, • Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health, • Mental health and wellness support through Spring Health, • Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health, • Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years, • 401(k) program with a company match of up to 3% (up to $3,000 annually), • Weekly in-office lunch benefit every Tuesday, • 100% company-paid short-term and long-term disability coverage, • Annual wellness and professional development stipend to support your health and growth, • And more!At Iterative Health, we believe great people drive innovation. If you're excited about helping transform the future of clinical research while building scalable people strategies that support growth and impact, we encourage you to apply. New York pay range $170,000—$250,000 USD At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

Job Description Reinforcement Learning Engineer Job Title Reinforcement Learning Engineer Job Summary We are seeking a talented Reinforcement Learning (RL) Engineer to design, develop, and optimize intelligent agents capable of learning through interaction with complex environments. The ideal candidate will have strong expertise in machine learning, deep learning, reinforcement learning algorithms, and software engineering. You will collaborate with cross-functional teams to build scalable AI solutions for real-world applications. Key Responsibilities Design, implement, and evaluate reinforcement learning algorithms for complex decision-making problems. Develop and optimize RL models using state-of-the-art techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), Soft Actor-Critic (SAC), Advantage Actor-Critic (A2C/A3C), and Deep Deterministic Policy Gradient (DDPG). Build custom simulation environments and integrate with frameworks such as Gymnasium, Isaac Gym, or Unity ML-Agents. Train, validate, and fine-tune RL agents for performance, stability, and scalability. Work with large-scale datasets and distributed training infrastructure. Collaborate with data scientists, ML engineers, software developers, and product teams to deploy RL solutions into production. Monitor model performance, conduct experiments, and improve learning efficiency. Stay current with the latest research in reinforcement learning and AI. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, or a related field. 3 years of experience in machine learning or AI development. Strong understanding of reinforcement learning concepts, including: Markov Decision Processes (MDPs) Value-based methods Policy Gradient methods Actor-Critic algorithms Model-based and model-free RL Exploration vs. exploitation strategies Proficiency in Python. Experience with deep learning frameworks such as PyTorch or TensorFlow. Hands-on experience with RL libraries such as Stable-Baselines3, RLlib, CleanRL, or Tianshou. Strong knowledge of probability, statistics, linear algebra, and optimization. Experience with Git, Docker, Linux, and cloud platforms (AWS, Azure, or Google Cloud). Familiarity with REST APIs and software engineering best practices. Preferred Qualifications Experience with Large Language Models (LLMs), Agentic AI, or Multi-Agent Reinforcement Learning (MARL). Experience in robotics, autonomous systems, recommendation systems, gaming, finance, or operations research. Knowledge of distributed training frameworks such as Ray. Experience with CUDA or GPU optimization. Publications or open-source contributions in reinforcement learning or AI. Technical Skills Python PyTorch / TensorFlow Stable-Baselines3 RLlib Gymnasium Isaac Gym Unity ML-Agents NumPy Pandas Docker Kubernetes (preferred) Git SQL Linux AWS / Azure / Google Cloud Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in cross-functional teams. Strong research mindset with attention to detail. Passion for continuous learning and innovation. Nice to Have Experience with Generative AI and LLM fine-tuning. Knowledge of MLOps and CI/CD pipelines. Experience with reinforcement learning from human feedback (RLHF). Familiarity with vector databases and AI agent frameworks. Benefits Competitive salary and performance bonuses. Flexible work arrangements. Health and wellness benefits. Learning and certification opportunities. Access to high-performance GPU infrastructure. Collaborative and innovative work environment.

Job Description For this role- one week a month they'd likely have to work 80 hours per week during launches so client need someone who would be comfortable with that Marketing Advisory team is looking for a Seasoned Product Marketing Manager to join a high-impact engagement with one of the world's leading technology organizations, working at the forefront of AI research and innovation. This is not traditional product marketing, and there is no established playbook. You'll work closely alongside teams developing and bringing some of the most advanced emerging technologies to market, helping determine how breakthrough AI research, model capabilities, and technical advancements should be positioned, understood, and introduced to highly sophisticated audiences. The work is fast-moving, highly visible, and often ambiguous by nature. You'll be expected to bring a point of view, create clarity where the path forward isn't obvious, and move fluidly from understanding complex technical developments to shaping the strategy, narrative, and go-to-market approach around them. For someone energized by frontier technology, zero-to-one challenges, and the opportunity to help define how entirely new innovations enter the market, this is a rare opportunity to do exactly that. The engagement is an example of that model at its most exciting: the opportunity to work at the intersection of AI research, product strategy, and go-to-market while helping shape how frontier innovations are introduced to the world. Our work is hands-on and high-impact. This role is for product marketing professionals that want to be close to the technology, close to the decisions, and close to what happens next. What You'll Do You'll be embedded within a leading technology client, working directly alongside their research, product, engineering, marketing, communications, design, and cross-functional teams to shape and execute go-to-market strategy for frontier AI innovations. You will: Shape go-to-market strategy for frontier AI innovations, developing the positioning, narratives, launch strategies, and execution plans that bring highly technical research and model capabilities to market. Own complex GTM workstreams from strategy through execution, bringing structure and momentum to high-profile initiatives where the path forward may still be taking shape. Develop a sophisticated understanding of the AI and model landscape, including emerging research directions, model releases, capabilities, benchmarks, competitive developments, and broader industry dynamics. Translate technical complexity into compelling market narratives, connecting what a technology can do with why it matters to researchers, developers, technical communities, industry leaders, and other highly informed audiences. Use market and competitive intelligence to inform strategy, identifying meaningful differentiation and turning insights into actionable recommendations for positioning and go-to-market decisions. Partner directly with highly technical teams, including researchers and engineers, to understand evolving capabilities, model evaluations, benchmarks, and technical advancements while they are still being developed. Bring an independent point of view. You'll be expected not only to synthesize information, but to evaluate it, challenge assumptions, identify opportunities, and recommend how emerging technologies should show up in the market. Lead across functions without relying on formal authority, aligning stakeholders across research, product, engineering, design, communications, creative, and marketing around shared launch strategies and outcomes. Operate effectively at speed, balancing strategic thinking with hands-on execution as priorities, information, and market conditions evolve. This job description is not intended to be all inclusive. Duties, responsibilities, and qualifications may be added, deleted, or modified at any time based on business needs. Qualifications We're looking for an experienced product marketer who combines deep GTM expertise with strong technical fluency and exceptional strategic judgment. 10 years of experience in Product Marketing, Product Strategy, Go-to-Market, or closely related work, with significant ownership of complex product or technology launches. Demonstrated experience developing and executing go-to-market strategies for highly technical, emerging, or category-defining products. Strong fluency in AI, machine learning, developer technologies, cloud platforms, technical infrastructure, or another complex technology environment. Direct experience with generative AI, AI models, or AI research is highly valued. Experience partnering closely with product, engineering, research, or other deeply technical teams, with the ability to quickly build credibility and communicate effectively with technical experts. The ability to understand technical capabilities, competitive signals, benchmarks, and market dynamics and translate them into clear positioning and strategic recommendations. Experience developing narratives and messaging for sophisticated technical audiences, such as researchers, developers, engineers, technical decision-makers, or industry experts. A track record of independently leading complex, cross-functional GTM initiatives from early strategy through launch and execution. Exceptional written and verbal communication skills, including the ability to synthesize complexity and influence senior stakeholders. Strong program leadership and organizational skills, with the ability to manage multiple interconnected workstreams in a rapidly changing environment. You'll Thrive Here If You… You're intellectually curious and genuinely excited by what is happening at the frontier of AI and technology. You're comfortable entering a situation where the answer is not already known. Rather than waiting for a playbook, you ask the right questions, develop a perspective, and help create one. You can move easily between strategy and execution. You're equally comfortable evaluating a competitive landscape, debating positioning with senior stakeholders, digging into technical details with an engineer, and driving the many moving pieces required to bring something successfully to market. You're highly collaborative but independently driven. You know when to bring people together, when to push for clarity, and when to simply take ownership and move. Most importantly, you enjoy environments where the technology, competitive landscape, and priorities are evolving quickly. Pace and ambiguity sharpen your thinking rather than slowing you down.

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 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 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 DescriptionRole Name: GNC Engineer III Work Location: Dallas–Fort Worth (DFW), Texas (Onsite) Job Summary We are seeking an experienced GNC Engineer III to solve challenging controls and localization problems using state-of-the-art techniques. The ideal candidate will develop simulations to validate control system designs and collaborate with a team of engineers to implement, test, and validate control solutions for unmanned ground vehicles (UGVs). The GNC Engineer III will be responsible for designing, developing, and overseeing various aspects of electrical control systems, equipment, and machinery. The role may also involve the installation and technical support of control systems and products. The successful candidate should possess a strong understanding of guidance, navigation, and control (GNC) concepts, practices, and procedures. This position requires the ability to apply technical expertise and sound judgment to plan and accomplish goals, solve complex engineering problems, and contribute creative solutions. The engineer will work under established guidelines and supervision while demonstrating technical leadership and the ability to perform a variety of complex engineering tasks. Essential Duties and Responsibilities: • Design and develop control and localization algorithms for unmanned ground vehicles., • Model mechanical and electrical systems to simulate and validate proposed control solutions., • Develop and analyze control algorithms to address complex engineering challenges., • Support the implementation, testing, and debugging of control systems and algorithms., • Conduct simulations to verify system performance and the effectiveness of control solutions., • Document engineering designs, analyses, simulation results, and testing outcomes in the company's standard report format., • Develop innovative control solutions to address technical challenges relevant to the company., • Provide technical guidance and assistance to other GNC engineers as needed., • Demonstrate technical leadership in control systems design and development., • Contribute to technical proposals requiring control system solutions., • Publish relevant research findings in conference proceedings and technical journals., • Identify and support patenting opportunities for client-developed control methods and technologies.Education and Experience Requirements, • Master's degree or PhD in Mechanical Engineering, Electrical Engineering, or a related field, with an emphasis on Controls and Localization., • 4–7 years of relevant industry experience in control systems, localization, or related engineering disciplines., • Strong understanding of GNC principles, control system design, modeling, and simulation., • Experience developing and implementing control solutions for complex mechanical or electrical systems.Required Technical Skills Proficiency in: • State-space control systems., • Localization techniques and algorithms., • State-of-the-art control methodologies and advanced controllers.Hands-on experience with:, • Designing and developing control and localization algorithms., • Creating detailed technical documentation, engineering reports, and design analyses., • Programming using Python, C, C++, and/or Robot Operating System (ROS).Physical Requirements, • Ability to remain in a stationary position at a computer workstation for extended periods throughout the workday., • Ability to operate a computer and other office productivity equipment., • Ability to perform job responsibilities effectively using computer monitors., • Ability to communicate and exchange information effectively in person, over the phone, and through electronic communication platforms., • Ability to move throughout an office environment as required. “All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.”

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 DescriptionElectrical Engineer, Analog & Mixed-Signal Location: NYC About Us Voyant Photonics 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 We're looking for an early-career hardware engineer who wants to build real skills on a foundational technology, fast. You'll work alongside senior engineers on the analog and mixed-signal electronics behind our LiDAR modules — getting hands-on with schematic design, lab bring-up, and validation from day one, with direct mentorship and room to grow into greater ownership. Key Responsibilities Support analog and mixed-signal circuit design — TIAs, ADCs, precision current sources, and power supplies (LDOs, switching regulators) — under the guidance of senior engineers. Assist with schematic capture, component selection, and PCB layout coordination for hardware modules. Execute bring-up, characterization, and validation testing (EVT/DVT) against defined test plans, and document results clearly. Run signal integrity, power integrity, and basic EMI/EMC checks, with senior engineer review. Build hands-on proficiency with GHz-range oscilloscopes, VNAs, spectrum analyzers, and other precision lab equipment. Collaborate day-to-day with system architects, mechanical engineers, and firmware teams on integration tasks. Qualifications Experience: 0–3 years of hands-on hardware experience (internships, co-ops, and substantial academic or personal project work count). Education: BS or MS in Electrical Engineering or a related field. Technical Strengths: Solid grounding in analog and digital circuit design fundamentals. Comfort working in a lab environment and eagerness to build hands-on measurement skills. Tools & Skills: Exposure to schematic capture tools (e.g., Altium or similar) and basic SPICE simulation. Familiarity with fundamental test equipment (oscilloscopes, multimeters, power supplies). Preferred Qualifications Coursework or project experience in photonics, optics, or sensing systems. Exposure to PCB layout, FPGA/microcontroller integration, or Verilog/Verilog-AMS. Personal projects, competition teams (e.g., robotics, motorsports, CubeSat), or research involving analog or RF hardware. A demonstrated bias toward hands-on problem-solving and fast iteration in a startup environment. Benefits Package Competitive base salary and a meaningful equity package. Comprehensive health benefits (Medical, Dental, Vision). Unlimited PTO and paid company holidays. Team events and company meetups. 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.

Job Description About Atria Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. Atria Health is seeking a Software Engineer (Product) to help design, build, and scale the systems that power our member and clinical experiences. This is an individual contributor role focused on: • Building high-quality product features across our stack (web, mobile, backend), • Owning projects end to end, from design to launch and iteration, • Partnering closely with Product, Design, and Clinical teams to ship measurable outcomes You’ll work with product managers and other engineers to shape how we build features, contribute to our architecture, and ensure that what we ship is reliable, observable, and grounded in data. From clean APIs and performant UIs to strong monitoring and analytics in Mixpanel, you’ll care about both how we build and what we achieve. Tech Stack • Languages: TypeScript, • Backend: Node, Express, • Frontend: React, Honeypot SDK, • Infrastructure: Google Cloud Platform, Terraform, • Database: MySQL, • Tooling & Integrations: Github, Sentry, Okta, Mixpanel, Omni, third-party APIsKey ResponsibilitiesProduct & Delivery, • Collaborate with product managers, designers, and clinicians to turn product requirements into clear technical plans., • Own end-to-end delivery of features and services: design, implementation, testing, rollout, and iteration.Architecture & Systems, • Design and implement APIs, data models, and integrations supporting your core domain (member journeys, clinical workflows, care coordination), • Contribute to evolving our architecture so teams can build new experiences quickly without re-inventing the wheel., • Build with reliability and performance in mind: help define graceful failure modes, timeouts, and efficient queries., • Participate in design reviews and RFCs, bringing a pragmatic, product-focused perspective.Quality, Observability & Analytics, • Write well-tested code with meaningful unit tests and integration tests,, • Instrument features with high-quality analytics in Mixpanel, using consistent events and properties across products., • Help maintain dashboards and alerts that reflect real user outcomesTeamwork, Mentorship & Culture, • Contribute to and uphold engineering standards: coding conventions, design patterns, documentation practices., • Give thoughtful and constructive code reviewsWho You AreCore Experience, • ~4+ years of professional software engineering experience building product experiences in production environments., • Track record of owning and shipping features or projects in a modern web stack., • Experience collaborating closely with product and design on user-facing features., • Comfortable working in evolving domains and complex making tradeoffs.Technical Skills, • Strong full-stack skills: you can design an API and schema, implement backend logic, and build the UI that consumes it., • Proficiency with TypeScript and at least one modern frontend framework (ideally React)., • Experience with at least one cloud provider and infrastructure-as-code (e.g., Terraform)., • Solid instincts for systems design basics: reliability, performance, and security, • Comfortable debugging across the stack: logs, traces, metrics, and data.Behaviors, • Take ownership of your work end to end and follow through on details., • Communicate clearly in writing and in meetings, tailored to your audience., • Comfortable working with clinicians, operations, and other non-technical partners., • Open to feedback and invested in helping the team continuously improve.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 platformsReporting & Work Arrangement This role reports to the VP of Engineering. This is a hybrid role based in New York City, with 3 days/week in the office (Tuesday–Thursday). Travel to other Atria locations as needed. Compensation: $140,000 - $250,000 Benefits At Atria, we are proud to offer every member of the Atria team: • Excellent health and wellness benefits, 100% paid 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, • Time to give back and make an impact in underserved communities

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 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 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 This role focuses on designing and building agentic systems that power creative workflows for short-form video. You'll help shape how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for our users — building agents that can take creative actions on a user's behalf — while experimenting with emerging models and techniques to bring these experiences to life in production. Software Engineers on the agents team work across product, machine-learning, and systems engineering — owning meaningful problems end-to-end and helping define how our agents are built and deployed across the product. While we don’t use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope. Responsibilities Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration What Makes You a Great Fit 5+ years of professional industry experience A track record of designing and developing ML systems or agentic pipelines in production Deep experience with context engineering: RAG systems, token optimization, context management at scale Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning) Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end Even better if... You have worked with multi-agent architectures You have experience fine-tuning LLMs for specific use cases You have a pulse on where generative media and agentic AI 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 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 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 DescriptionJob Title: Senior Cybersecurity EngineerLocation: 405 Lexington Avenue, New York, NY 10174 Duration: FTESalary: $ up to 140kSchedule: hybrid (in-office 2-3 days per week) Based on the NYC vaccine mandate effective 12/27/2021, all employees will be required to show proof of vaccination in accordance with the mandate. Job Summary: The Senior Cybersecurity Engineer is responsible for keeping information systems secure, determining access requirements, and planning and implementing information security programs, to help protect against cybercrime threats, including malware, phishing, viruses, denial-of-service attacks, information warfare and hacking. The position reports to the Director, Network & Security. The position also interfaces with varying levels of management, as well as functional counterparts at Company X Essential Duties: • Incident prevention, detection, containment, and recovery across IT systems, including process development, incident response and reporting:, • Administration and management of security technologies and products: Security Information and Event Management (SIEM), security automation, Data Loss Prevention (DLP), endpoint security (EDR), sandboxing, threat intelligence, pen testing & vulnerability management, identity management, • Experience with incident response, troubleshooting, and forensic analysis of malware events and vulnerability issues, • Regular security monitoring and identification of possible intrusion or breach, • Ability to use all available tools to conduct in-depth active and passive threat analysis and incident investigation, in order to identify security vulnerabilities or malicious activity, • Monitor and evaluate the effectiveness of security controls and alignment with security frameworks, • Participate in the creation and maintenance of security-related policies and procedures, • Collaborate with internal and external stakeholders to proactively prepare, recognize and respond to various attack patterns., • Stay up to date with current security issues and regulations in the industry including researching latest findings, industry trends, and vendor-specific issues and resolutions; research and test new security tools, • Mentor and train junior resources. Required Qualifications:, • Experience with network security monitoring systems for in-depth analysis of data and trends, including Splunk/Splunk ES (3+ years), Cisco AMP (1-2 years), Varonis (1-2 years), • Practical expertise using Splunk SPL to extract actionable insights from security analytics, including the ability to manage and configure input from various data sources, run complex searches, generate reports, create alerts and dashboards, fine tune Splunk ES correlation searches, etc., • Application of security architecture principles, standards, and controls to enterprise systems and system designs, including cloud environments (SaaS, PaaS, IaaS), • Creating and testing security event procedures for alert management and incident response, • Knowledge of firewall/IPS devices and understanding of encryption and VPN technologies (IPSEC, SSL/TLS, GRE, DMVPN, etc.), • Good verbal/written communication skills and the ability to manage critical situations and maintain positive relationships with colleagues and clients., • Bachelor’s degree or equivalent in IT or related fields; industry accepted security certifications (CCNA Security, SANS, CISSP, etc.) a plus

Job Description Provide a short description of the Position: The candidate for this position will provide technical support for hardware and software. This position will deliver high-quality service to end users and ensure service support and delivery are in place to meet the agency's business needs. Provide a list of the day-to-day tasks to be performed by the Selected Candidate: • Taking care of level 2 tickets (and level 1 when necessary ex: answer phone, create tickets)., • Onboarding new staff (equipment deployment), offboarding staff, training state staff, providing support for issues that need to be escalated and completed in a timely manner., • Utilize PowerShell scripting to maximize productivity of platform management., • Administer corporate mobile device management solution., • Maintain platform security and compliance in alignment with agency's cyber security program to protect data., • Test Group Policies and updates for endpoint OS., • Utilize standard enterprise tools to develop or implement infrastructure hardware, software, or other technical components., • Provide preventative maintenance, troubleshooting and quickly resolve routine problems to ensure infrastructure stability., • Work alongside business operations teams, project management teams, and additional IT teams to coordinate work efforts and establish processes., • Perform system software and hardware upgrades and changes; including planning, scheduling, testing and coordination., • Monitor, measure, and test current/new infrastructure products and services., • Perform operational, project, and support tasks with little to no supervision, while meeting or exceeding SLAs and performance expectations., • Develop and ensure deployment documentation such as design and environment specifications, user and technical manuals, and process documentation., • Use of remote access technologies (VPN, terminal services)., • Collaborate with internal and external application support, systems infrastructure, security, network, telecom, and service desk departments to deliver the best desktop experience to the enterprise. Position Mandatory Qualification (Per Attachment 7, Section 1.2.4) Works in the field of Information Technology, experienced in the usage and support of a collection of development platforms, technical architectures or business applications and products that run on those platforms - beyond that of a Programmer. What type of software is typically used by the Agency? Windows/Java/Oracle What type of hardware is typically used by the Agency? Server, Laptops, desktops, printers and other peripherals. Position Requested Qualifications (Per Attachment 7, Section 1.2.5) • 36 Months experience in the field of Desktop Support, • 36 Months experience with technical approaches in design, build testing, and debugging problems., • 36 Months experience in mobile device management (MDM) solutions., • 36 Months experience with Active Directory group policy standards, • 36 Months experience with Networking concepts (DHCP, VLANs, ACLs, Firewalls, etc)., • 36 Months of Windows 7 & 10 experience including 64 bit operating systems., • 36 Months of experience with Window image deployment using MDT., • 36 Months of experience with client-based security management tools including anti-virus, PKI, HDD encryption, and general client based security hardening., • 36 Months of scripting language experience - Power Shell preferred, • 36 Months of engineer experience: research, analysis, planning and implementation., • Certifications relevant to MS Windows, • 36 Months experience with advanced troubleshooting and support for VPN, 2 Factor Authentication, and network printing., • 36 Months active Directory management experience, • 36 Months experience with cyber security best practices and compliance, • 36 Months experience with Client workstation hardware and operating systems, • 36 Months of experience of analytical and problem-solving abilities dealing with hardware and software issues. What is the format of the Candidate interview? In-person Is telecommuting allowed for this position? No What are the daily work hours? 8:00-4:30 PM, 8:15-4:45 PM, 8:30-5 PM, 9-5:30 PM; with 1/2 hour unpaid lunch break

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 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 DescriptionCompany Description AFRY is a global engineering and advisory firm headquartered in Sweden, serving the infrastructure, industry, and energy sectors. AFRY Management Consulting helps accelerate the transition to a sustainable world by supporting clients with high-impact, value-creating transformation. We support clients through strategic advice, market analysis, transformation, transaction services, and sustainability consulting. With 650+ consultants across 43 offices in 26 countries, supported by 17,000 AFRY experts, we help clients solve business-critical challenges. In North America, AFRY operates from New York, Appleton, Birmingham, Houston, and Montreal. Job Description Start your career with AFRY and gain hands-on experience working alongside industry experts on projects that help shape the future of the pulp, paper, packaging, and tissue industries. As an Entry-Level Analyst, you will work as part of a collaborative consulting team, develop valuable business and analytical skills, and contribute to meaningful client projects from day one. • What You'll Do, • Support consulting projects for clients across the pulp, paper, packaging, and tissue sectors, • Analyze market trends, industry data, costs, and financial information to help solve client challenges, • Create presentations, reports, databases, and analytical models that support strategic decision-making, • Assist with business strategy, due diligence, mergers and acquisitions, and operational improvement projects, • Collaborate with colleagues across the United States and globally to deliver high-quality client solutions, • Present findings and recommendations to internal teams and clients, • Continuously develop your technical, analytical, and consulting skills through mentorship and on-the-job learningQualifications We're seeking motivated individuals who are curious, analytical, and eager to build a career in consulting and industry advisory services. • Bachelor's degree in engineering, economics, finance, business, STEM, or a related field, • Authorized to work in the United States, • Strong analytical, problem-solving, and critical-thinking skills, • Excellent written and verbal communication skills, • Strong attention to detail and organizational abilities, • Proficiency with Microsoft Office, particularly Excel and PowerPoint, • Interest in consulting, manufacturing, forest products, sustainability, or the pulp and paper industry, • Ability to manage multiple priorities and work effectively both independently and within a team, • Experience through internships, co-ops, research projects, or relevant coursework is beneficial but not required, • Additional language skills or programming experience are a plus Additional Information What We Offer At AFRY, you'll have the opportunity to learn from industry leaders, work on challenging projects, and build a strong foundation for your professional career. Benefits & Opportunities • Competitive compensation with performance-based growth opportunities, • Comprehensive benefits package including medical, dental, vision, life insurance, disability coverage, 401(k) with company match, paid vacation, and holidays, • Mentorship and professional development from experienced consultants and industry experts, • Exposure to a variety of industries, clients, and business challenges, • Opportunities to collaborate with colleagues from around the world, • A diverse, inclusive, and supportive work environment, • Hybrid work model based in our New York office, • The chance to contribute to AFRY's mission of advancing sustainable solutions and creating a more sustainable future Please note: Applicants must be authorized to live and work in the United States without current or future sponsorship. AFRY is an Equal Opportunity Employer. At AFRY, we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate, innovate technology, and embrace challenging points of view. That’s how we're making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.

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 Description Job Title: Responsible AI Engineer Job Summary We are seeking a Responsible AI Engineer to design, implement, and operationalize responsible AI practices across the AI development lifecycle. The ideal candidate will focus on improving AI system safety, fairness, transparency, explainability, robustness, and compliance. This role collaborates with AI Engineers, Data Scientists, Machine Learning Engineers, Security Teams, Legal Teams, and Product Managers to ensure AI solutions are trustworthy, ethical, and aligned with organizational and regulatory requirements. Key Responsibilities Design and implement Responsible AI frameworks, processes, and engineering practices. Evaluate AI and machine learning systems for fairness, bias, transparency, safety, and reliability. Develop methods to detect and mitigate algorithmic bias and unintended model behavior. Perform AI risk assessments, model evaluations, and impact assessments. Implement explainability and interpretability techniques for machine learning models. Develop testing frameworks for AI robustness, adversarial risks, and model safety. Evaluate Large Language Models (LLMs) and Generative AI applications for hallucinations, harmful outputs, security risks, and reliability issues. Build AI safety guardrails, content filtering, and responsible generation controls. Conduct red teaming, adversarial testing, and failure analysis for AI systems. Establish monitoring practices for model drift, fairness, performance, and compliance. Collaborate with engineering teams to integrate Responsible AI controls into MLOps pipelines. Create documentation including model cards, data sheets, risk assessments, and AI governance reports. Stay updated on AI regulations, industry standards, and emerging Responsible AI practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Ethics in Technology, Cybersecurity, or a related field. 3 years of experience in machine learning engineering, AI evaluation, AI governance, data science, or related fields. Strong understanding of machine learning algorithms, AI lifecycle management, and model evaluation. Experience with Python and machine learning frameworks. Knowledge of Responsible AI concepts including fairness, explainability, transparency, privacy, and safety. Experience analyzing AI model performance and identifying risks or failure patterns. Strong analytical, problem-solving, and documentation skills. Preferred Qualifications Experience evaluating Large Language Models (LLMs), Generative AI, and AI agents. Experience with AI safety testing, red teaming, and adversarial machine learning. Knowledge of fairness and explainability tools such as IBM AI Fairness 360, Fairlearn, SHAP, LIME, or InterpretML. Experience with AI evaluation frameworks such as DeepEval, Ragas, LangSmith, Promptfoo, or OpenAI Evals. Familiarity with AI governance frameworks and regulatory requirements. Experience implementing Responsible AI practices within MLOps pipelines. Knowledge of privacy-preserving machine learning techniques. Technical Skills Python SQL Scikit-learn PyTorch TensorFlow Pandas NumPy SHAP LIME InterpretML Fairlearn AI Fairness 360 Large Language Models (LLMs) Prompt Engineering AI Evaluation Frameworks MLflow Kubeflow Docker Git REST APIs AWS / Azure / Google Cloud Platform Responsible AI Expertise AI fairness and bias mitigation Explainable AI (XAI) Model interpretability AI safety evaluation Adversarial testing AI risk assessment Model documentation Data governance Privacy-preserving AI Human-in-the-loop AI systems AI transparency and accountability Soft Skills Strong ethical reasoning and analytical judgment Excellent communication skills across technical and non-technical teams Ability to translate AI risks into practical engineering solutions Strong attention to detail Collaboration and stakeholder management skills Continuous learning mindset Nice to Have Experience with enterprise AI governance programs Knowledge of AI regulations and standards Experience with LLM safety, jailbreak testing, and prompt injection defense Familiarity with AI security and privacy practices Experience creating AI policies, standards, and governance documentation Publications or research experience in AI safety, fairness, or trustworthy AI Key Performance Indicators (KPIs) Reduction in AI fairness and safety risks AI model evaluation coverage Effectiveness of bias detection and mitigation processes Reduction in harmful or unreliable AI outputs Responsible AI compliance readiness Quality of AI risk documentation and governance artifacts Adoption of Responsible AI practices across AI projects Improvement in AI transparency and user trust metrics Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time

Job Description Job Description: Our client is seeking a highly skilled and experienced Lead AI Engineer to join our team in New York City. As the Lead AI Engineer, you will be responsible for leading a team of AI engineers in the development and implementation of AI solutions for our clients. You will work closely with our clients to understand their business needs and design AI solutions that meet their requirements. Responsibilities: • Lead a team of AI engineers in the development and implementation of AI solutions, • Collaborate with clients to understand their business needs and design AI solutions that meet their requirements, • Develop and maintain AI models, algorithms, and software components, • Conduct research and stay updated on the latest advancements in AI technologies -Experience building AI applications/agents with frameworks (LangChain, LangGraph) • Ensure the quality and accuracy of AI solutions through rigorous testing and validation, • Collaborate with cross-functional teams to integrate AI solutions into existing systems, • Stay updated on industry trends and best practices in AI engineering Requirements: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • 8+ years of experience in building AI products in a professional setting., • Strong understanding of AI concepts, algorithms, and technologies, • Proficient in programming languages such as Python, Java, or C++ -Proficient in Python and SQL/Postgres -Experience with OpenAI/Anthropic models; training models a plus -Exposure to deployments (Kubernetes, Docker) and cloud (AWS, Azure, GCP) • Experience with Natural Language Processing (NLP) and Machine Learning (ML) techniques, • Experience in leading and managing a team of AI engineers, • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to work in a fast-paced and dynamic environment

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 Job Title: Staff Engineer (Geotechnical) Location: Parsippany, NJ Type: Direct Hire Compensation: $55,000–$80,000 + overtime Contractor Work Model: Onsite Hours: 40.0 Overview Coordinates the planning, organization, control, integration, and completion of engineering projects within area of assigned responsibility by performing the following duties personally or through subordinate supervisors. This staff position is considered a training position for those with degrees in a related field but MUST have at least 1 year of field experience. Responsibilities • Coordinate the planning, organization, control, integration, and completion of geotechnical engineering projects within the assigned responsibility area., • Conduct site inspections to monitor progress and conformance to specifications and procedures., • Design portions of projects as needed and lead inspection testing for concrete and rebar., • Perform research, write reports, and prepare samples of unapproved materials for laboratory testing., • Develop and maintain project schedules and budgets, providing regular updates on milestones and adjusting plans accordingly., • Oversee installation of monitoring wells in compliance with federal and state requirements., • Travel 25% to 100% (out of state possible) for site visits and project oversight. Requirements • Bachelor’s degree in Civil Engineering or related field., • 1 to 3 years of Site Civil, Geotechnical, or Environmental engineering experience., • Previous construction experience preferred., • Ability to review and understand plans, specifications, and reports including site, grading, utility, foundation, and structural details., • Experience with inspection of compacted fills, footings, ground improvement, deep foundations, retaining walls, utilities, asphalt, and sitework elements., • 40-hour OSHA HAZWOPER certification required; Engineer in Training (EIT) preferred or ability to register within six months., • Proficiency with AutoCAD, Civil 3D, NitroPro, GSLOPE, KeyWall, MS Word, Excel, Adobe., • Ability to use tools such as lump hammer, shovel, hand auger, Nuclear Density Gauge. Benefits Healthcare benefits, transportation reimbursement, paid time off, tuition reimbursement, professional development opportunities, 401(k), and bonus potential. #M1 Ref: #562-Joule Staffing - Edison

Job DescriptionCompany Description Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description We are looking for an experienced Solution Architect to join our AI Platforms team. In this role, you will be the technical authority on client engagements — translating complex business requirements into robust, scalable data and AI architectures across cloud, machine learning, and generative AI domains. You will work directly with senior client stakeholders (CIO, CISO, Engineering leads) to define technical vision, remove impediments for delivery teams, and ensure that architectural choices align with security, compliance, and cost constraints. You will also contribute to pre-sales activities by scoping solutions, estimating effort, and building technical proposals that win new business. This is a staff-level individual contributor role embedded part-time in cross-functional project teams, with a clear path toward engineering management for those who choose it. Client Architecture & Technical Leadership (~70%) • Define and own the end-to-end technical architecture for data and AI projects — covering cloud infrastructure, data pipelines, ML/DL model serving, generative AI applications, and agent-based systems., • Act as the primary technical point of contact for client stakeholders, aligning architectural decisions with business objectives, security policies, and regulatory requirements (GDPR, EU AI Act)., • Lead architecture reviews, design sessions, and technical governance forums to ensure quality and coherence across workstreams., • Remove technical impediments for engineering teams and provide hands-on guidance when needed., • Oversee the full project lifecycle: from advisory and assessments through prototyping (POC/MVP) to full-scale production deployment., • Ensure solutions are designed for production readiness — addressing scalability, reliability, observability, and cost optimization. Pre-Sales & Business Development (~30%) • Support business development by contributing to technical scoping, architecture proposals, and effort estimations during the sales cycle., • Participate in client presentations and workshops to demonstrate Sia’s technical capabilities and build trust., • Identify expansion opportunities within existing accounts by surfacing new use cases and technical needs. Knowledge Building & Mentoring • Mentor junior consultants and engineers, helping them grow their architectural thinking and client-facing skills., • Contribute to building internal IP, accelerators, and reference architectures that leverage frontier technological developments., • Stay current on the evolving landscape of cloud services, AI frameworks, and industry best practices.Qualifications Required • Master’s degree in computer science, engineering, or a related field., • 4 to 7 years of experience in solution architecture, cloud architecture, or a senior engineering role with significant design responsibilities., • Deep expertise in at least two of the following technology ecosystems: AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, NVIDIA., • Strong command of cloud architecture patterns — networking, security, compute, storage, and managed AI/ML services., • Solid understanding of the data and AI landscape: classical ML, deep learning, generative AI, autonomous agents, and data engineering., • Proven ability to engage with senior client stakeholders (CIO, CISO, VP Engineering) and translate business needs into technical solutions., • Excellent communication and presentation skills — able to convey complex technical concepts to both technical and non-technical audiences., • Strong problem-solving skills and ability to make sound architectural trade-offs under uncertainty., • Fluent in French; professional proficiency in English. Nice to Have • Hands-on coding ability (Python, Terraform/IaC, or similar) for prototyping and technical validation., • Experience with MLOps / LLMOps tooling and production deployment pipelines., • Professional-level certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, Databricks Professional Data Engineer)., • Experience in management consulting or client-facing delivery environments., • Familiarity with AI compliance frameworks and responsible AI practices. Additional Information Compensation & Benefits Sia invests in total rewards that support how our people work, live, and grow. Compensation • Base Salary: $130,600-135,700 Actual compensation within this range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by applicable law., • Annual Performance Bonus Benefits • Medical, dental, and vision; company-paid life and AD voluntary supplemental insurance and EAP, • 401(k) with company match and immediate vesting; HSA and FSA options, • College savings and student loan repayment programs, • Paid parental leave; generous PTO, nine company holidays, and one floating holiday, • Cell phone stipend; well-being and professional development programs Benefits are subject to applicable plan terms and eligibility requirements. Workplace Sia values in-person collaboration. When serving clients, consultants may be required to work onsite at a client location based on engagement needs. Between client engagements, consultants are expected to work from a Sia office or approved coworking location at least three days per week. Candidates should reside within a reasonable commuting distance of a Sia office or approved coworking location. Sia maintains offices and coworking arrangements across multiple U.S. markets, including New York City, Charlotte, Greater Seattle, San Francisco Greater Bay Area, Los Angeles, Houston, Atlanta, Baltimore, Chicago, Washington D.C. Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout their employment. This position is not eligible for employment visa sponsorship now or in the future. Our Commitment At Sia, we believe in fostering a diverse, equitable, and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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 Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ingestion, normalization, storage, and ongoing maintenance of large-scale financial and alternative datasets from hundreds of global vendors. The successful candidate will develop scalable data pipelines that transform raw vendor feeds into clean, consistent, research-ready datasets for systematic researchers and simulation platforms. Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and readily accessible across asset classes including equities, options, futures, fixed income, ETFs, and foreign exchange. This is an ideal opportunity for an engineer who enjoys solving complex data engineering challenges in a research-driven environment where data quality, scalability, and performance directly impact alpha generation. Responsibilities • Design, build, and maintain scalable ingestion pipelines for market, reference, tick, and alternative data from a diverse set of external vendors., • Own the normalization, validation, storage, and lifecycle management of research datasets, ensuring data is accurate, consistent, and readily accessible for quantitative research and simulation., • Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset classes, including equities, options, futures, fixed income, ETFs, and FX., • Partner with quantitative researchers, data architects, and infrastructure teams to onboard new datasets, improve data quality, and deliver reliable research-ready data., • Build monitoring, automation, and operational tooling to ensure the reliability, performance, and scalability of the firm's data platform., • Document data pipelines and engineering best practices while contributing to the ongoing evolution of Trexquant's research data infrastructure. Requirements • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field., • 5+ years of data engineering experience within a systematic trading, quantitative research, hedge fund, or financial technology environment., • Python and SQL development experience in building large-scale data ingestion and ETL pipelines., • Strong Linux experience, including scripting, automation, and operating production data processing systems., • Deep knowledge of financial data across multiple asset classes, including equities, options, futures, fixed income, ETFs, FX, and alternative datasets., • Experience working with market data, tick data, reference data, and vendor data feeds, including normalization, validation, and quality control., • Familiarity with modern data storage formats and technologies such as Parquet, Arrow, object storage, and columnar databases., • Strong communication and collaboration skills, with the ability to work effectively alongside researchers and engineering teams. Benefits • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford, CT and New York City offices. The base salary range is $150,000–$200,000, depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

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 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 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 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 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 Premier Managed IT Service Company that delivers IT products and services to small businesses in the United States is looking to add an experienced, on-site Help Desk Engineer in New York for one of our clients. This position will provide growth opportunities to other senior technical client-facing roles of our firm and requires a proactive, hard-working individual with a “can-do” attitude and the ability to wear multiple hats in a fast-paced environment. We are looking for the best and brightest to join our growing team. We demand people who: • Care about our clients, • Are passionate about what they do, • Are team players, and willing to help other team members, • Believe in doing things right the first time, • Are dedicated to continual improvement, • Embody positivity Everyday Duties • Respond to incoming calls and e-mails regarding information technology problems, using help desk software., • Perform hands-on fixes at the desktop level, including installing and upgrading software, installing hardware, and configuring systems and applications, • Perform basic network administration tasks, such as setting up new user accounts and granting access to network resources., • Communicate with third-party support and PC equipment vendors., • Identify and learn appropriate software and hardware used and supported by the organization., • Provide superior service and customer support, • Diagnose and perform on-site installations, repairs, maintenance, and tasks Qualifications • Previous help desk experience, • Good interpersonal skills, with a focus on rapport-building, listening, and questioning skills, • Highly self-motivated and directed, • Ability to effectively prioritize and execute tasks, • Experience with Windows desktop and server operating systems, including Windows 2016-2022 and Windows 10 - Windows 11, • Experience with Mac OS X Configuration and troubleshooting, • Knowledge of Microsoft Active Directory, • Knowledge of computer hardware, • Good understanding of the organization's goals and objectives, • Experience working in a team-oriented, collaborative environment, • Ability to absorb and retain information quickly, • Ability to present ideas in user-friendly language, • Proven analytical and problem-solving abilities, • Customer service orientation, • Ability to conduct research into a wide range of computing issues as required Education Requirements: Bachelor's degree Preferred Certification Requirements: • A +, • Network +, • Microsoft certifications a plus Job Type: Full-time/ On-Site Salary + Benefits: • $40,000.00 - 60,000.00 /year Some of Our Benefits include • Paid Time Off (PTO), • Access to 401K with match, • Subsidized individual & family health, dental, and vision insurance plans, • Ongoing company-funded professional development & education allowances, • Much more! Must Complete the company Assessment to be considered for hire: https://www.ondemandassessment.com/link/index/JB-LF6EWZ2MR?u=1096881 #ZR

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 About Us: Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for an Infrastructure Engineer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world's hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. Position Highlights: We are looking for an Infrastructure Engineer who has experience designing, building, and deploying scalable infrastructure for research and production trading. As we are rapidly growing, this role is very important and will have a major impact on the future of our software systems. Less manual, more automation! Responsibilities: • Design, build, and support low-latency trading infrastructure, • Troubleshoot complex issues across the OS, storage, networking, and HPC clusters, working closely with other teams, • Automate server provisioning and configuration management, • Identify manual or repetitive workflows and design automation to improve reliability and user experience, • Deploy and support containerized applications, • Maintain and scale data storage systems, • Administer observability and source control platforms, • Coordinate with remote data center technicians on hardware installs and repairs, • Maintain clear documentation and a structured knowledge base, • Evaluate emerging hardware and software relevant to trading, HPC, and storage, and propose improvements, • Work with remote technicians at data centers Requirements: • 1–5 years of experience in Linux systems engineering or administration, • Solid understanding of Linux internals: process scheduling, virtual memory, filesystems, and the networking stack, • Strong scripting skills in Python and/or Bash, • Experience with configuration management and Infrastructure-as-Code tools such as Ansible, • Good grasp of networking fundamentals (TCP/IP, routing, VLANs, troubleshooting tools), • Understanding of computer system architecture, • Hands-on experience with observability tools (metrics, logging, alerting), • Experience with containers (Docker, Podman, Kubernetes a plus), • Clear communication skills and the ability to work across teams, • Strong understanding of computer system architecture Nice to have: • Experience with low latency L1/1.5 network devices, • Experience with Solarflare or Mellanox network cards, • Experience with Kubernetes (bare-metal and cloud environments), • Experience with Big-Data Processing and Analysis Pipelines such as Jenkins or similar, • Genuine Interest in Finance and Trading, • Experience Working in a Trading Company is a significant plus Additional expectations: • Passion for Continuous Learning, • Strong Sense of Responsibility, • Ability to Make Independent and Timely Decisions, • Skill in Finding Innovative Solutions in Critical Situations, • Service-Oriented Mindset Benefits: • Opportunity to develop professional competencies, • Interesting and challenging tasks, • Competitive rates of pay, • Paid time off, • Coverage of health insurance costs Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

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 Test Automation Engineer Type: Contract Compensation: $70–$85/hour Location: Remote Duration: Short-term project Role Responsibilities • Design and implement automated test systems, procedures, and test sequences for electrical and electronic hardware., • Integrate test instruments, data acquisition systems, and hardware interfaces to automate measurements and testing., • Develop test scripts, automation frameworks, and data analysis workflows., • Perform functional, performance, validation, regression, and HIL testing where applicable., • Analyze test results, troubleshoot hardware and test setups, and identify root causes of failures., • Review and validate test methodologies, results, and technical approaches against project requirements. Qualifications Must-Have • Hands-on industry experience in electrical testing, automation, instrumentation, and hardware validation., • Bachelor's, Master's, or PhD in Electrical Engineering, Electronics, Instrumentation, Mechatronics, or a related field., • Experience developing or executing automated electrical test systems and working with laboratory instrumentation., • Proficiency in Python, MATLAB, LabVIEW, C/C++, or equivalent., • Experience with test automation, data acquisition, and instrument-control protocols such as SCPI, GPIB, USB, Ethernet, CAN, or RS-232/485., • Ability to interpret electrical schematics, test specifications, and technical documentation. Preferred • Experience with ATE, automated test benches, custom test fixtures, NI hardware, LabVIEW/TestStand, PXI/PXIe, or DAQ systems., • Experience with HIL/SIL, automated regression testing, or Python-based test automation., • Experience testing power electronics, batteries, EVs, motors, embedded systems, or other complex electrical hardware., • Experience with high-voltage or safety-critical systems is a plus. 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: 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 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 Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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.

Job DescriptionRefer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. ----------------------------------------------------------------------------------------------------------------------------------------------- Information Security Engineer – Enterprise & Automation Focus (Must come out of a start-up type setting, doing Enterprise Security) Location: New York City, NY (Hybrid: Tues–Thurs onsite, Mon & Fri remote) Salary: OPEN, looking for the best in class Security Engineers, my client has no problem paying what it takes..... Must have the following: Should come out of a small to mid sized tech company where you controlled all security technically. Sr level Security engineering experience, Python or comparable scripting ability, security automation, incident investigation, vulnerability remediation, endpoint or infrastructure security, secure software practices, and the ability to evaluate security risks associated with modern AI-driven applications. About the Opportunity: My growing client is a technology-focused organization that combines advanced computing, software development, data-intensive research, and machine learning to solve complex real-world problems. The security team operates as an engineering function rather than a traditional compliance-focused organization. Engineers are expected to investigate difficult problems, build technical solutions, automate security operations, and partner closely with other technical teams. A growing area of focus involves understanding how AI-powered software, autonomous applications, and intelligent workflows change the security landscape. This creates opportunities to work on security challenges that may not yet have mature industry standards or established solutions. The environment is best suited for engineers who enjoy technical depth, experimentation, programming, and solving security problems from first principles. Responsibilities: • Build technical security solutions that improve protection across software, computing infrastructure, endpoints, and emerging AI applications., • Create automated security workflows that reduce manual investigation and remediation work., • Develop internal tools and scripts for identifying suspicious activity, security weaknesses, configuration issues, and operational risk., • Partner with software and infrastructure engineers to incorporate security earlier in application and system design., • Review technical environments for weaknesses and recommend practical controls based on risk and business impact., • Investigate security events and determine appropriate containment, remediation, and prevention strategies., • Improve the organization’s ability to identify abnormal behavior across endpoints, applications, and computing environments., • Conduct technical security reviews of new systems, services, tools, and internally developed technologies., • Evaluate how autonomous software and AI-enabled applications could introduce new attack paths or security concerns., • Help establish secure patterns for applications that interact with language models, automated decision-making systems, or machine-learning services., • Perform targeted testing to identify exploitable weaknesses before they become production issues., • Develop repeatable processes for vulnerability discovery, prioritization, ownership, and remediation., • Work closely with highly technical engineering teams on security problems that may not have established playbooks., • Research new security techniques, attack methods, and defensive technologies that could improve the organization’s security posture., • Contribute to technical standards and engineering guidance without creating unnecessary process or friction. Requirements: • Professional experience in cybersecurity, security engineering, application security, infrastructure security, detection engineering, incident response, or a closely related discipline., • Strong programming or scripting skills, ideally with Python or another language commonly used for automation., • Demonstrated ability to build security tooling or automate repetitive security activities., • Experience investigating technical security issues across systems, applications, endpoints, or networks., • Practical knowledge of vulnerability identification and remediation., • Understanding of attacker behavior, common exploitation techniques, and methods used to reduce exposure., • Familiarity with endpoint security, security monitoring, logging, or detection technologies., • Experience working with software engineers, infrastructure teams, or technical platform groups., • Understanding of secure development practices and how security controls fit into modern engineering workflows., • Ability to evaluate unfamiliar technologies and identify potential security implications., • Exposure to AI applications, language models, autonomous systems, machine-learning platforms, or AI security is beneficial but does not need to be the candidate’s primary background., • Experience with offensive security, adversarial testing, security research, or penetration testing is helpful., • Comfortable operating in environments where security problems require custom engineering rather than off-the-shelf solutions., • Strong analytical skills and the ability to explain technical security issues clearly., • Able to work successfully with technical teams in a collaborative hybrid environment., • Candidates with different levels of seniority may be considered depending on technical depth and demonstrated accomplishments. Cybersecurity engineer, security automation, AI security, security engineering, Python security, detection engineering, incident response, vulnerability remediation, application security, infrastructure security, endpoint security, threat detection, DevSecOps, secure software, security tooling, penetration testing, adversarial testing, machine learning security, LLM security, autonomous systems, AI applications, cyber defense, vulnerability management, security monitoring, threat analysis, engineering security, automation engineer, technical security, New York cybersecurity, Durham cybersecurity, Pittsburgh cybersecurity, hybrid security jobs, advanced computing, security research, software security, cyber automation, AI cybersecurity, security careers INDH Information Security Engineer, cybersecurity, enterprise security, Linux security, Python automation, DevSecOps, vulnerability management, threat detection, incident response, security engineering, automation tools, infrastructure security, endpoint security, security generalist, startup security, cloud security, security operations, SOC, scripting, Python security, risk mitigation, cyber defense, application security, security frameworks, ethical hacking, secure infrastructure, AI security, agentic AI, machine learning security, DevOps security, enterprise cybersecurity

Job Description About Daiwa Capital Markets America Inc.: Incorporated in 1964, Daiwa Capital Markets America Inc. (“DCMA”) is a New York-based registered securities broker-dealer, a futures commission merchant, a primary dealer of U.S. Treasury securities, and a member of the New York Stock Exchange and other major U.S. exchanges. Our main focus is on the sales and trading of Japanese, Asian, and U.S. equities, fixed income instruments, financial futures, and investment banking for institutional customers. DCMA’s ultimate parent company is Daiwa Securities Group Inc., one of the largest brokerage and financial services groups in Japan. Position Summary: We are seeking an experienced Senior Network Engineer to join our IT Infrastructure team within a fast-paced financial environment. This role involves designing, implementing, and maintaining a high-performing, secure, and scalable network infrastructure to support critical financial business operations. The ideal candidate will have expertise with leading networking and voice technologies, an understanding of security practices, and a proactive approach to problem-solving. Reporting to the Network Manager in the Information Technology department, you will be an integral part of the Network group operating in an environment of high team collaboration with a strong desire to respond and resolve problems and requests in a prompt manner. Core Responsibilities: Responsible for the ongoing administration, management, and strategic design of the firm’s network and telecommunications systems: • Provide 24x7 support to maintain continuous uptime for the firm’s corporate network, • Provide Level 2 and 3 support to other teams within the IT department, • Provide Level 2 and 3 support for our IPC turret systems, • Design, deploy, maintain, and monitor network infrastructure including routers, switches, firewalls, and wireless solutions (e.g., Cisco Catalyst, Nexus, Meraki devices)., • Manage VPNs, load balancers (e.g., Citrix NetScaler), and secure remote access solutions., • Configure, maintain, and optimize firewalls (e.g., Palo Alto Networks, Cisco ASA) for robust security and compliance., • Monitor and troubleshoot network performance using industry standard tools (e.g., SolarWinds), • Implement and manage network segmentation and security protocols to protect sensitive financial data., • Collaborate with internal teams to integrate network solutions with cloud platforms such as Microsoft Azure., • Develop and maintain comprehensive documentation for network configurations, processes, and troubleshooting procedures., • Stay updated on emerging technologies, assess their potential impact, and recommend improvements to the current network environment., • Manage and maintain relationships with various telecom / networking / hardware vendors, • Manage and maintain relationships and peering states with market related vendors, • Project Management – ability to lead and manage networking and telephony projects, • Perform moves / adds / changes related to Infrastructure, • Support and maintenance of our Cisco Unified Communications services and recording systems, • Experience supporting and troubleshooting AV equipment (e.g., Cisco WebEx Bar, Cable TV), • Ongoing Data Center maintenance and inventory management, • Address security related tasks / projects, • Provide rotational on call support after-hours and on weekends Required Qualifications: • 7+ years of experience in LAN / WAN / MAN management in a fast-paced financial services environment. Configuring Cisco switches / routers (IOS XE, IOS XR and Nexus OS)., • 7+ years of experience with various network / routing protocols, BGP, EIGRP, OSPF, VPC etc., • 7+ years Cisco firewall (ASA/FTD) and Palo Alto., • 5+ years of experience in VoIP and mixed TDM environment., • Solid knowledge of VPNs, load balancers, NetScalers, and secure remote access solutions., • Data Center management experience. Knowledge of wiring and cabling infrastructures., • Ability to work late in order to troubleshoot and perform upgrades and system maintenance outside of business hours., • Ability to independently manage multiple projects simultaneously from research and testing through to production deployment. Experience in dealing with telecom vendors throughout the circuit provisioning lifecycle., • Experience with network security systems / services as well as enterprise monitoring systems., • Exceptional network troubleshooting skills and ability to resolve complex technical issues., • Excellent communication skills with a focus on customer service., • Must be able to lift and carry items weighing up to 50 pounds. Preferred Qualifications: • CCIE Voice Certification, CCIE Routing and Switching, IPC Level 1 Certification, Cisco VOIP Training, Cisco Security or Cisco Data Center certifications., • 5+ years of experience in supporting IPC turrets. Ability to work in a trading floor environment., • Hands on experience with network automation tools. Company Culture and Benefits: Daiwa Capital Markets America Inc. has a vibrant company culture made up of a diverse team of professionals. We seek to foster an atmosphere in which our employees understand, respect, and inspire each other. We will continue to build a culture that encourages everyone at DCMA to take pride in their work. How we work — individually, with each other, and with our communities — is just as important as what we do and shapes who we are as an organization. Our people are our most important asset, and as a result, we offer a competitive and robust total rewards package which includes, but is not limited to: • Competitive Benefits Package (Medical, Dental and Vision), • Ancillary Insurance (Basic Life Insurance, AD&D Insurance, and Short & Long-term Disability), • Flexible Spending and Health Savings Accounts (FSA and HSA), • Employee Assistance Program (EAP), • Comprehensive health and wellness benefits, • Parental Leave, • Family building benefits, • 401(k) with company match, • Paid Time Off and holidays, • Professional development, educational assistance and training programs, • Community Engagement Programs DCMA has a hybrid work program in place, with opportunities for remote work depending on the nature of the role and needs of your department. This was implemented to provide operational efficiency while simultaneously giving employees flexibility. At a minimum, employees are expected to work in the office three days per week. DCMA provides equal employment opportunities for all applicants and employees. We are committed to providing a work environment that is free of discrimination and harassment. DCMA prohibits discrimination based on race, color, religion, gender identity, national origin, sexual orientation, age, disability, military or veteran status, or other attributes protected under applicable federal, state, or local laws.

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 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