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Grow your career as a Java Spark Developer with an innovative global bank in Jersey City, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week. \n \nJoin one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you. \n \nContract Duration: 12+ Months \n \nRequired Skills & Experience • 7+ years of experience in software development with at least 3 years of experience in Java Spark and Big data frameworks., • Strong proficiency in Python and Java Spark with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc.), • Experience working in financial markets, risk management and financial instruments., • Familiarity with market risk concepts including VaR, Greeks, scenario analysis and stress testing., • Hands-on experience with Hadoop, Spark., • Proficiency on Git, Jenkins and CI/CD pipelines., • Excellent problem-solving skills and strong mathematical and analytical mindset., • Bachelor’s degree/University degree\n \nWhat You Will Be Doing • Develop and optimize scalable Java Spark-based data pipelines for processing and analyzing large scale financial data., • Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance., • Ensure efficient data storage and retrieval using Big Data., • Implement best practices for spark performance tuning including partition, caching and memory management., • Design and implement distributed computing solutions for risk modeling and regulatory compliance., • Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins)., • Work on batch processing frameworks for Market risk analytics.\n

B&H Photo builds many custom applications for its internal teams to effectively execute upon their responsibilities. A business analyst is a unique creative role that helps translate the requirements for the business teams to effectively build technology solutions. Business Analyst Job Responsibilities: • Elicits, analyzes, specifies, and validates the business needs of stakeholders, be they customers or end users., • Collaborates with project sponsors to determine project scope and vision. Works on prioritizing requirements and creating MVP solutions that can bring maximum value with minimal effort., • Utilizes their creative abilities to put together wireframes and mockups to solve for business challenges using technology solutions., • Creates process models, specifications, diagrams, and charts to provide direction to developers and/or the project team., • Clearly identifies project stakeholders and conducts interviews to gather customer requirements via workshops, questionnaires, surveys, site visits, workflow storyboards, use cases, scenarios, and other methods., • Identifies and establishes scope and parameters of requirements analysis on a project-by-project basis to define project impact, outcome criteria, and metrics., • Works with stakeholders and project team to create prioritize collected requirements., • Researches, reviews, and analyzes the effectiveness and efficiency of existing requirements-gathering processes and develop strategies for enhancing or further leveraging these processes., • Assists in conducting research on products to meet agreed upon requirements and to support purchasing efforts., • Participates in the QA of purchased solutions to ensure features and functions have been enabled and optimized., • Participates in the selection of any requirements documentation software solutions that the organization may opt to use., • Analyzes and verifies requirements for completeness, consistency, comprehensibility, feasibility, and conformity to standards., • Develops and utilizes standard templates to accurately and concisely write requirements specifications., • Translates conceptual customer requirements into functional requirements in a clear manner that is comprehensible to developers/project team., • Develops and conduct peer reviews of the business requirements to ensure that requirement specifications are correctly interpreted., • Assists with the interpretation of customer requirements into feasible options and communicating these back to the business stakeholders., • Manages and tracks the status of requirements throughout the project lifecycle; enforce and redefine as necessary., • Communicates changes, enhancements, and modifications of business requirements — verbally or through written documentation — to project managers, sponsors, and other stakeholders so that issues and solutions are understood. Qualifications / Skills: • Strong customer service orientation, • Excellent analytical, mathematical, and creative problem-solving skills, • Excellent listening, interpersonal, written, and oral communication skills, • Excellent process oriented mindset to build out new workflows, • Excellent documentation and wireframing skills., • Logical and efficient, with keen attention to detail, • Highly self-motivated and directed, • Ability to effectively prioritize and execute tasks while under pressure, • Experience working in a team-oriented, collaborative environment Education, Experience, and Licensing Requirements: • College diploma or university degree in the field of business administration, finance, or information systems, • Three to five years related work experience, • Proven experience with business and technical requirements analysis, elicitation, modeling, verification, and methodology development, • Demonstrated project management skills and project management software skills, including planning, organizing, and managing resources, • Working knowledge of Windows office systems, • Excellent understanding of the organization’s goals and objectives Must have Skills/Experience: • Retail background and understanding of the supply chain process., • Experience gathering business, functional and integration requirements for custom applications, vendor packaged applications (ERP, CRM etc.) including SaaS based applications., • Experience writing requirements in User Stories format/exposure to iterative/agile methodologies.

Placement Type: Temporary Salary: $62-67 Hourly $62-65 / hourly as W2 Start Date: May 18, 2026 Manager, Fraud Analytics & Governance Onsite 3 days each week in either New York City, Chicago, Jacksonville, FL or Sioux Falls. Candidates need to work 3 days onsite each week in either New York City or Chicago. Role Summary As a key member of the Fraud Analytics, Modeling & Intelligence organization, you will design and execute data-driven fraud strategies for North American and global portfolios. This high-impact role focuses on the full fraud lifecycle-from preventing synthetic ID and application fraud to mitigating sophisticated account takeover (ATO) schemes. You will sit at the intersection of data science and risk management, leveraging large-scale datasets to build proactive defenses that safeguard our customers and the bank's reputation. Key Responsibilities include: Strategy & Execution: Lead Fraud Strategy: Design, test, and implement automated fraud risk strategies within advanced decision engines for consumer and commercial portfolios. Lifecycle Management: Manage the end-to-end model lifecycle, partnering with developers, vendors, and Model Risk Management (MRM) to ensure models are validated, high-performing, and compliant. Innovation: Continuously evaluate new data sources, AI/ML capabilities, and external tools to stay ahead of evolving fraud patterns. Analytics & Insights: Advanced Data Mining: Extract actionable insights from Big Data environments (Hadoop, Hive, Python) to identify emerging attack vectors and behavioral trends. Reporting & Governance: Support the "Authorization Governance" process by monitoring historical performance and translating complex data into clear, executive-level documentation. Technical Documentation: Produce rigorous technical reports that meet regulatory standards and survive deep-dive audits from supervisory authorities. Collaboration & Leadership: Cross-Functional Partnership: Act as a critical liaison between Fraud Policy, Operations, and Technology to ensure seamless execution of business priorities. Risk Advocacy: Foster a culture of transparency and ethical judgment, ensuring all strategic decisions align with global compliance and regulatory requirements. Qualifications: Experience: 5+ years in Fraud, Payments, or Risk Analytics. Experience in the banking or fintech sector is highly preferred. Technical Proficiency: 3+ years of hands-on experience in a Big Data environment. Advanced proficiency in Python, SQL, SAS, or Hive/Impala is required. Analytical Rigor: Proven ability to apply mathematical and statistical techniques to solve complex, real-world business problems. Communication: Exceptional ability to "translate" technical findings into strategic narratives for senior leadership and regulatory bodies. Autonomy: A self-starter capable of navigating a complex global matrix organization with minimal oversight. Education: Required: Bachelor's Degree in a quantitative field (Statistics, Mathematics, Physics, Economics, or Computer Science). Preferred: Master's Degree or Ph.D. in a related field. #LI-MG1

Title: Senior Transportation Engineer Department: Civil & Environmental Engineering Reports To: Department Chair, Civil and Environmental Engineering Position Type: Staff Position Summary: Under the supervision of the Chair of the Department of Civil and Environmental Engineering, the Senior Transportation Engineer works with faculty and other research staff on complex transportation planning analysis tasks related to sponsored research projects, focusing on transportation data development and analysis, use of regional travel demand, traffic and simulation models, and ITS engineering. Under the direction of the Department Chair and Principal Investigators on research projects, the Senior Transportation Engineer participates in a variety of research activities, including performing technical analysis work, preparing documentation, assisting with technology transfer activities, and participating in communication with clients. Duties also include needs assessment, implementation and support for research tasks to which the incumbent is assigned. Essential Functions: • Manages one or more tasks for sponsored research projects. The incumbent will focus on areas of transportation modeling and systems analysis, traffic engineering, ITS, and transit systems operations. The incumbent will utilize and apply travel demand modeling, traffic engineering and simulation, GIS, and other transportation and mathematical modeling and analysis software., • Keeps up with the state-of-the-practice in transportation modeling, traffic engineering and operations, and ITS, including innovations in related software tools. Implements this knowledge in research activities. (55%), • Performs (as assigned) literature review, problem identification, data collection and analysis, analysis of solutions, and development of recommendations., • Works with faculty, research staff, and students on preparing technical scopes of work for research projects, and assists the Principal Investigators with developing project schedules., • Assists faculty and other researchers with managing all aspects of the technical work in the areas of transportation modeling and systems analysis, traffic engineering and ITS, including the scheduling and assignment of work tasks. (30%), • Prepares technical memoranda and progress reports summarizing the results of the technical work. The incumbent will also be responsible for preparing sections of the Final Report documents related to the work tasks performed as part of research projects, including printed and electronic data and reports for submission and presentation to research clients. The Senior Transportation Engineer will attend meetings as necessary with NJIT faculty and staff, as well as meetings with research clients., • In coordination with faculty prepares and sends for publication research reports and papers related to conducted research. (10%) Additional Functions: • Assists faculty with graduate student guidance and mentoring by providing expertise and advice in the areas of transportation modeling, engineering, ITS, and data analysis. (5%), • Performs other related duties as assigned by the Chair of the Department of Civil and Environmental Engineering or Principal Investigators on research projects. Prerequisite Qualifications: • Master's degree in Transportation, Urban Planning, or a related field., • Three years related experience in the computer based transportation modeling, simulation, and systems analysis., • Working knowledge of regional and local transportation planning and engineering practices in New Jersey, as well as basic transportation engineering theory and practices nationwide., • Working experience in computer based traffic analysis, preferable using Synchro., • Working experience in computer-based transportation modeling (Cube, TransCAD, or VISUM) and simulation (Paramics, VISSIM, or CORSIM)., • Must have a strong computer background, including high-level proficiency with Microsoft Windows and Office software, including Word, Excel, Power Point, Access, and Visio., • Knowledge and working experience using data analysis tools such as New Jersey Congestion Management System (NJCMS), New Jersey Accident Record Database (NJARD), and Census Transportation Planning Package (CTPP)., • Must have excellent oral and written communication skills, • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position Preferred Qualifications: -Experience with ITS engineering and systems analysis is preferred. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,129.05-$113,324.04 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page . Range/Band: 22 FLSA: Exempt Full-Time Apply NowShare Save Job

Columbia University Irving Medical Center - Department of Medicine Columbia University Irving Medical Center invites outstanding candidates to apply for positions at the rank of Assistant Professor. These positions are based with leading research labs in cancer immunotherapy and technology development and are part of the Columbia Center for Translational Immunology and the Herbert Irving Comprehensive Cancer Center. We are seeking candidates with demonstrated excellence and future potential in the areas of gene editing, cell engineering, cancer genomics, and computational biology, who can lead a research program at the intersection of basic science, translational research, and clinical application. Successful candidates will demonstrate a record of significant research accomplishments and the potential to establish creative, independent research programs with a commitment to teaching and mentoring at the graduate, medical, and postdoctoral levels. Research Focus Areas 1. Gene Editing & Cell Engineering • Development and application of advanced gene editing tools (e.g., CRISPR, base editing) in human and murine immune cells, • Engineering of immune cells for therapeutic applications, including CAR-T and other cell therapies, • Collaboration with the Columbia University Irving Medical Center's cell manufacturing facility for clinical translation 2. Functional Genomics & High-Throughput Screening • Massively parallel CRISPR-based perturbation screens, • Functional characterization of disease-associated variants and variants enhancing therapeutic efficacy, • Synthetic biology and model systems to dissect gene function in cancer and immune contexts 3. Cancer Genomics & Systems Medicine • Study of mutational processes, clonal evolution, chromosomal instability, and the tumor microenvironment, • Integration of multi-omics datasets (e.g., genomics, transcriptomics, epigenomics) to uncover cancer mechanisms 4. Advanced Sequencing Technologies • Application and development of cutting-edge methods such as:, • Single-cell RNA-seq and ATAC-seq, • Spatial transcriptomics, • Long-read sequencing, • Whole-genome/exome sequencing (WGS/WES) 5. Computational Biology & AI • Development of predictive models of therapy response using machine learning/AI, • Multi-modal data integration and quantitative systems biology approaches, • State-of-the-art core facilities for sequencing, cell engineering, and imaging, • High-performance computing and data science support, • Biobanking and patient-derived model systems, • A rich and collaborative scientific community spanning basic, clinical, and translational domains, • Applicants must hold a Ph.D. and/or M.D. (or equivalent degree) in related discipline., • Demonstrated record of significant research accomplishments and the potential to establish a creative, independent research program. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Title: Post Doctoral Research Associate Department: Mathematical Sciences Reports To: Associate Professor Position Type: Staff Position Summary: We are seeking a postdoctoral research associate to work on problems in the intersection of inverse problems, analysis, and computational mathematics. The position is initially for one year, with the option to renew for 1-2 additional years, subject to satisfactory performance. The start date is negotiable, preferably Fall 2025. The successful candidate will work on the ONR Project "Optimal Transport-based Strategies in Waves and Dynamics" led by Prof. Christina Frederick at NJIT. Essential Functions: -The project will harness and advance the power of optimal transport theory to capture the intrinsic characteristics of complex physical processes arising in a wide range of important scientific applications, e.g., ocean electromagnetics, inverse scattering, time series modeling. -The postdoctoral associate will integrate and develop optimal transport theories and computational methods for the forward and inverse modeling in these applications. Prerequisite Qualifications: -Recent PhD in Mathematics or related field with a research background in computational mathematics, optimization, and inverse problems; a track record of publications and presentations in high-quality journals and conferences. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Knowledge of optimal transport theory, programming skills and experience with physical modeling (e.g., computational fluid dynamics, wave propagation). Proven ability and interest in interdisciplinary work. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated starting annual salary for this position is $70,000 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

Job DescriptionThis position is eligible to receive a Sign-on Bonus. Located in Manhattan, The New York Proton Center (NYPC) is one of the most unique and respected clinical partnerships in the world of proton therapy. The collaboration between Memorial Sloan Kettering Cancer Center, Montefiore Medical Center, and Mount Sinai Health System brings state-of-the-art proton therapy treatment to the patients of New York and the surrounding areas. Our team at NYPC is comprised of highly motivated, passionate, professional, and engaged individuals working together as a dynamic team to deliver an exceptional level of patient care, providing the most advanced proton therapy technology. We offer our employees a competitive compensation and benefits package with flexibility for growth and career advancement. If you meet the criteria and would like to be a part of our collaborative, innovative, and patient-focused team, please apply with a cover letter and copy of your resume, or CV, to the current opportunity listed below. Position Summary: The Post-Doctoral Research Fellow (PDRF) will design and conduct research within a specific field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuing a professional career in Medical Physics. The ideal candidate will work with the Principal Investigator to develop new ideas, design and evaluate experiments, process and analyze data, and prepare scientific manuscripts for publication. The initial appointment is for one year, and renewal is expected upon the PDRF’s performance. Duties and Responsibilities: • Support lead and contribute to the development of artificial intelligence (AI) and automation solutions for clinical applications in radiation oncology, with a strong emphasis on improving treatment planning, workflow efficiency, and decision support., • Participate in and support a broad range of innovative clinical and translational projects, including proton treatment planning, treatment evaluation, device and software tool development, FLASH therapy, adaptive radiotherapy, reirradiation, and implementation of new clinical protocols., • Apply physics, mathematical modeling, and analytical reasoning to interpret complex clinical problems and identify optimal solutions for research and clinical implementation., • Comply with all New York Proton Center policies related to Privacy Rules established under the Health Information Privacy and Portability Act of 1996 (HIPAA)., • Other clinical and research supports as needed. Qualifications: • Ph.D. degree in Physics, Engineering, Computer Science, or related fields., • Strong programming skills with MATLAB and Python; scripting skills in Eclipse are preferred., • Experience in AI, machine learning, and automation development is highly preferred., • Must possess strong technical problem-solving skills., • Experience with Eclipse API scripting (C#) and medical image analysis/processing is preferred., • Knowledge of Monte Carlo simulation for proton therapy is preferred., • Strong oral and written communication skills. About the Area: New York City is a major metropolitan city and is home to world-renowned cultural offerings. Outdoor attractions include a variety of parks and green spaces including Central Park, the Brooklyn Botanical Gardens, the Bronx Zoo, and the High Line; multiple waterfronts on the island afford convenient access to scenic activities. Cultural activities abound in Broadway, Madison Square Garden, Lincoln Center, The Metropolitan Museum of Art, and the Museum of Modern Art; iconic sites include the Statue of Liberty, Empire State Building, Rockefeller Center, Times Square, and the One World Trade Center; championship teams in every major league sport; shopping abounds in SoHo, Fifth Avenue, Chelsea Market, and the Fashion District; and dining offerings are second to none. The New York Proton Center, situated in Manhattan, is well-located for city living and suburb living, with multiple suburbs, located 25 minutes from the Center, home to some of the best public school systems in the country. The salary range and/or hourly rate displayed is a determination of base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. NYPC takes into consideration several factors in making compensation decisions including, but not limited to, skillset, experience and training, licensure and certifications, internal equity and other business and organizational needs. The New York Proton Center (NYPC) strives to maintain a workplace that accepts and appreciates the differences among our employees. The company will not discriminate against any applicant or employee based on age, race, gender, color, religion, national origin, ancestry, disability, marital status, covered veteran status, sexual orientation, gender identity and/or expression, genetic information, status with respect to public assistance or any other characteristic protected by state, federal, or local law. Monday - Friday schedule.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems. What you'll do • Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability), • Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization, • Design and build end-to-end data pipelines to support large-scale production usage, • Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions, • Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies, • Deploy and monitor models in production, ensuring reliability, scalability, and data quality, • Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutionsWhat we're looking for, • PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications, • Proficient programming skills in Python and SQL, • Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models, • Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization, • Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling), • Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow), • Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description About Synaptrix Labs Inc. Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience. We're seeking a full time Research Scientist, Artificial Intelligence (PhD) to join our growing team of researchers & engineers. If you're passionate about shaping the future of brain-computer interfaces and excited by the potential of deep learning in neurotechnology, we want to hear from you! Responsibilities: • Design, prototype, and optimize state-of-the-art AI systems for neural decoding, including diffusion models, graph neural networks, contrastive/self-supervised frameworks, and transformer-based sequence models., • Conduct foundational research on neural time-series representation learning: build architectures that extract latent dynamics from EEG, EMG, or related biosignals., • Develop high-fidelity simulation environments for testing decoding algorithms, incorporating stochastic signal noise and realistic biophysical constraints., • Scale model training across multi-GPU and multi-node clusters using PyTorch Distributed, DeepSpeed, or JAX/Flax; profile and tune system performance for sub-10 ms inference latency., • Build and maintain end-to-end research pipelines for large-scale signal datasets, including preprocessing, artifact rejection, and multimodal fusion with video, audio, and IMU data., • Collaborate with neuroscientists and hardware engineers to integrate learned models into real-time BCI control loops and embedded systems., • Contribute to core ML infrastructure: experiment tracking, model versioning, dataset lineage, and reproducibility standards., • PhD or equivalent deep technical expertise in Machine Learning, Artificial Intelligence, Computer Science, Computational Neuroscience, or related fields., • Strong command of PyTorch or JAX, with experience implementing custom training loops, loss functions, and model architectures., • Proven ability to conduct end-to-end research, from conceptual design to reproducible experiments and evaluation., • Strong mathematical foundations in linear algebra, probability, optimization, and information theory., • Experience working with high-dimensional time-series or sensory data (EEG, speech, video, motion capture, etc.)., • Skilled in Python, NumPy, Pandas, and scientific computing workflows; experience with CUDA or low-level GPU debugging is highly valued., • Deep familiarity with neural signal modeling, neural decoding, or biosignal preprocessing (EEG/MEG/ECoG/EMG)., • Experience designing self-supervised or generative models (diffusion, VAEs, contrastive, masked modeling) for noisy, non-stationary data., • Background in reinforcement learning, optimal control, or human-in-the-loop systems, especially in continuous domains., • Publications or preprints in top venues (NeurIPS, ICML, ICLR, CVPR, EMBC, Nature Neuro)., • Familiarity with distributed training, mixed-precision, multi-GPU orchestration, and cloud ML infrastructure (AWS/GCP/Azure)., • Contributions to open-source ML frameworks or custom CUDA kernels., • Understanding of neural signal acquisition hardware, embedded inference, or edge ML deployment. At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation. Expected Compensation: The base salary for this role is anticipated to fall within the following range. Actual compensation will depend on your experience, technical expertise, and relevant education or training. In addition to base pay, Synaptrix offers equity to all full-time employees, reflecting our commitment to shared success and long-term company growth. Base Salary Range: $85,000 - $150,000 USD What We Offer: • An opportunity to change the world and work with some of the smartest and most talented experts from different fields, • Growth potential; we rapidly advance team members who have an outsized impact, • Paid holidays, unlimited PTO

Job Description:\n\nAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.The Opportunity At Phaidra, security is the bedrock of trust for our customers operating the world's most critical infrastructure. We are looking for a Senior Product Security Engineer to partner directly with our Agentic AI department. This team is at the forefront of our mission, building autonomous agents responsible for optimizing the operational fabric of AI factories. These agents don't just chat; they act. They make real-time decisions to optimize power usage, cooling efficiency, and hardware health, creating a more stable and efficient environment for massive-scale compute. This is a high-stakes environment where the integrity and security of AI-driven decisions are paramount. You will tackle the unique security challenges of deploying autonomous agents that interact directly with physical control systems. Security failures here don't just mean data leaks; they could mean operational downtime or physical degradation of critical hardware. We need a security expert who thrives working hand-in-hand with AI researchers and engineers. Your role is to embed security into the DNA of our Agentic platform, ensuring that as our agents learn and explore, they do so within unbreakable safety boundaries. We are seeking a team member located in the following areas: UK or US (central and eastern time preferred)ResponsibilitiesChampion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team. Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents. Beyond standard AI risks, you will analyze risks unique to agents, such as goal misalignment, reward hacking, infinite looping, and insecure tool execution (e.g., an agent executing a command that exceeds safety limits).Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents. Crucially, this involves defining deterministic safety guardrails that sit between the probabilistic AI model and the physical hardware controls. Ensure "Zero Trust" applies to the agent—it should only have the minimum permissions needed to adjust specific parameters.Secure Agent Tools & Memory: Architect security controls for the "tools" the agent uses (APIs to read sensors or change settings) and the agent's long-term memory. Ensure the agent cannot be manipulated into using a tool to perform unauthorized actions or "poisoned" via its memory context.MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning. Ensure the integrity of the simulation environments (Digital Twins) used to train agents, preventing attackers from influencing agent behavior during the training phase.Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation. Can you trick the agent into making a suboptimal decision? Can you manipulate the observations the agent receives?Incident Preparedness: Develop incident response playbooks tailored for autonomous systems, focusing on "Kill Switches" and rapid rollback capabilities in the event of rogue agent behavior.Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists. Act as an enabler who helps them deploy powerful agents safely, rather than a blocker.Key QualificationsAgentic AI & RL Security: Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.AI Partnership: Demonstrated experience working embedded with AI system developers and researchers. You understand the difference between "probabilistic" (AI) and "deterministic" (Code) and how to secure the bridge between them.Core Experience: 5+ years of work experience in product security, application security, or a closely related security engineering role.Safety Engineering Mindset: You understand that in physical systems, "Availability" and "Safety" often outrank "Confidentiality." You are familiar with concepts like fail-safes and human-in-the-loop controls.Technical Depth:Strong programming experience, ideally with Python (essential for ML/AI ecosystems) or Go.Familiarity with agent frameworks (e.g., LangChain, AutoGPT) or RL libraries (e.g., Ray RLLib).Proven experience securing Cloud infrastructure (GCP) and Kubernetes.Deep understanding of Authentication & Authorization (specifically non-human identities/workload identity).Advanced MLOps: Direct, hands-on experience securing MLOps tooling (e.g., Kubeflow, MLflow) and deep understanding of securing complex data and model-training pipelines.Preferred Skills & ExperienceIndustrial / OT Context: Experience working with systems that interface with the physical world (IoT, Robotics, ICS/OT). Understanding of the "IT/OT convergence."Formal Verification for AI: Experience using mathematical methods to prove that an AI model or agent will not violate specific safety constraints.Sim-to-Real Security: Experience securing simulation environments (Digital Twins) and managing the security risks of transferring policies from simulation to the real world.Protocol Fuzzing: Ability to test industrial protocols (e.g., Modbus, BACnet) for robustness against automated or adversarial inputs.AI Governance: Familiarity with emerging standards like the NIST AI RMF or ISO 42001.Critical Systems: Experience securing "closed loops" or control systems where latency and reliability are critical.Certifications: Relevant advanced certifications, such as GICSP (Global Industrial Cyber Security Professional), ISA/IEC 62443 Cybersecurity Expert, NVIDIA Agentic AI, OSEP (Offensive Security Experienced Penetration Tester), CISSP, or OSCP.Our StackAI/ML: PyTorch, TensorFlow, Ray (RL), LangChain, Gemini/OpenAI/Anthropic models.Languages: Python, Go.Infrastructure: Docker, Kubernetes, Terraform.Cloud: GCP (GKE, PubSub, BigTable)Onboarding In your first 30 days — (Foundation and AI Landscape Familiarization)Understand the Mission: Deep dive into "Building AI for AI Factories." Understand the specific physical parameters (power, cooling, airflow) our agents are optimizing.Build Trust: Sit with the Agentic AI researchers to understand their workflow. How do they train agents? How do they simulate environments?Initial Review: Conduct a high-level review of the current "Safety Layer" that sits between the Agent and the control systems. In your first 60 days — (Threat Modeling & Guardrails):Agent Threat Model: Lead a detailed threat modeling session for a specific Agentic workflow. Focus on the Interface between the Agent and the Physical Hardware.Guardrail Implementation: Propose and begin implementing technical controls (guardrails) that enforce deterministic safety rules, ensuring the AI cannot exceed operational limits regardless of its intent.Secure the Tools: Review the security of the internal APIs (Tools) that the agents use to sense and act on the environment. In your first 90 days — (Strategy & Automation):Reference Architecture: Publish a "Secure Agent Reference Architecture" for future agent development.Driving Initiatives: Drive the implementation of the secure reference architectures and remediation of key findings from the threat modeling exercises.Demonstrable Impact: Showcase measurable improvements in the security of the AI/ML pipeline (e.g., implementation of runtime monitoring for anomalous model behavior, reduction of AI-specific vulnerabilities).Strategic Contributions: Establish yourself as the key security partner and expert for the Agentic AI Department.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required.Meeting with People Operations team member (30 minutes)Meeting with Hiring Manager (30 minutes)Technical Interview with our Senior Product Security Engineer (60 minutes)Meeting with Agentic AI team member (45 minutes)Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents:Tier 1 (Largest highest-cost metros): 146,200 USD - 199,600 USDTier 2 (Other major metros): 138,640 USD - 189,370 USDTier 3 (Mid-sized metro areas): 131,080 USD - 179,140 USDTier 4 (All other locations): 123,520 USD - 168,910 USD UK Residents:Tier 1 (London): 95,200 GBP - 142,000 GBPTier 2 (Manchester, Birmingham, Edinburgh, Bristol): 89,600 GBP - 134,400 GBPTier 3 (Other areas): 84,000 GPB - 126,000 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & PerksFast-paced, team-oriented environment where your work directly shapes the company's direction.We are a 100% remote company. Competitive compensation & meaningful equity.Outsized responsibilities & professional development.Training is foundational; functional, customer immersion, and development training.Medical, dental, and vision insurance (exact benefits vary by region).Unlimited paid time off, with a required minimum of 20 days per year.Paid parental leave (exact benefits vary by region).Flexible stipends to support your workspace, well-being, and continued professional development.Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns.On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job DescriptionREPORTS TO: CITODEPARTMENT: Product Management FLSA STATUS: Exempt TRAVEL: none WORK SCHEDULE: M-F, may need to flex times due to business needs! LOCATION: New York, NY (3 days onsite/2 days remote) COMPANY OVERVIEW:Covr Technologies is a market leading insurance-as-a-services platform (InsurTech) that simplifies the buying process for life, long-term care, and disability insurance products sold through financial and wealth management advisors, banks, credit unions, RIAs, consumer brands and fintech channels. There are over 25,000 financial advisors using our platform and over 30,000 insurance applications completed on our platform since 2016. Our platform has processed close to $5 billion in claim benefits for end-consumers. Covr’s platform provides a simpler way for people to protect what matters most and a better consumer experience. We have streamlined the insurance application and underwriting process from days to minutes. Covr has a dynamic and transparent work environment where we create opportunities for our employees to grow. We embrace a flexible work environment that encourages high productivity and job satisfaction. We have strong core values: Client First, Collaboration, Innovation and Fun! JOB SUMMARY:In this highly visible role as a Jr. Product Manager, you will sit at the core of our business at the crossroads of strategy, product management and analytics, working closely with Executives and helping develop business strategy, growth plans and drive execution. You will make meaningful and measurable improvements impacting an abundance of both internal and external clients and customers. You will lead key cross-functional projects across the business, collaboratively working with senior leaders, and be critically involved in strategic planning, problem solving, and making decisions impacting Covr's overall business. ESSENTIAL JOB FUNCTIONS, DUTIES, AND PERFORMANCE RESPONSIBILITIES: * * • Work closely with CITO and Directors to lead the execution of key cross functional business initiatives, working efficiently across organization lines., • Manage tech workstreams and run weekly tech meetings to ensure activities stay on track., • Assist & project manage in developing, leading, and implementing strategic and operational initiatives and projects to enhance revenue growth and / or improve operating margins., • Communicate and present findings to CITO., • Define and report on both key metrics and user data to measure the performance of our operations and inform data driven decision making. ADDITIONAL DUTIES, AND PERFORMANCE RESPONSIBILITIES:, • Perform ad hoc research (prospecting, conference preparation, business needs, etc.) to ensure accuracy as well as providing in-depth knowledge and context for decision making., • Work with external firms during prospecting and implementation to accelerate partnerships and ensure quick and accurate communication with key stakeholders., • Performs other duties and projects as assigned. JOB SPECIFICATIONS AND QUALIFICATIONS:Education and Experience:, • BA required, • 1 - 3 years of product management experience., • Strong mathematical background, • Financial background preferred, • Track record of using analytics to support decision-making, with the ability to dig deep into data and identify the right insights., • Self-motivation and the ability to independently identify and implement high-value analyses and projects., • Verbal and written communication and data modeling and presentation skills, with ability to simplify complex concepts and effectively communicate those to senior leadership and key stakeholders., • Strong leadership, organizational and execution skills in a fast-paced environment Knowledge and Skills:, • Excellent attention to detail and ability to multi-task without losing focus., • Proficient in Microsoft Outlook, Word and expert in Excel, • Comfortable with routine, repetitive tasks, • Competitive salary with annual incentive bonus, • Paid Time Off (PTO): 3 weeks to start, increasing with years of service., • Paid holiday’s – 11 days, • Medical, Dental and Vision – 80% of monthly premium paid by Covr for all full-time employees, • Adult and child orthodontia, • Health Savings Account (HSA) with quarterly company contributions, • Short-Term and Long-Term Disability, • Pet insurance for cats and dogs!, • Company paid Life and AD&D insurance for all full-time employees., • Supplemental Life and AD&D insurance up to 5x’s salary for employee, • Supplemental Life and AD& D plans offered for spouse and dependents, • Flexible Spending Accounts (FSAs): medical, dependent, parking and transit Covr is an equal opportunity employer and values diversity in our workforce. We encourage applications from all qualified individuals, including those with diverse backgrounds and those with disabilities. Please note that we do not provide immigration sponsorship for this position. Powered by JazzHR MVag3agDb1

Job Description Job Code N1325RS Department Name Retirement Services Reports To Manager, CARE Team FLSA Status Exempt Union Code N/A Management Yes About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Under the supervision of the Manager, CARE Team, the Supervisor, CARE Team coordinates and oversees the daily operations of the Counseling staff, ensuring empathetic, accurate, and timely support for members and their families across all benefit plans. This role requires a balance of operational leadership and hands-on guidance to drive performance, ensure compliance, and promote continuous improvement. The Supervisor, CARE Team embodies the CARE Team’s core values of CARE: Collaboration, Action, Reliability, and Empathy. Essential Duties and Responsibilities: • Provide team supervision, assign and monitor staff workload, track deliverables and due dates., • Maintain a presence in the Welcome Center, observe in-person appointments, support staff during participant consultations, and step in as needed to ensure exceptional service delivery., • Monitor staff workloads to ensure timely and accurate completion of participant interactions and benefit processing., • Promote a member-first service environment by modeling CARE (Collaboration, Action, Reliability, and Empathy) values in all aspects of leadership., • Support management in overseeing performance issues, including participation in disciplinary discussions and actions, in accordance with company policy., • Ensure that QA standards are met across all participant interactions, including application processing, call handling, and overall customer service., • Ensure adherence to Service Level Agreements (SLAs) and organizational timelines., • Coach and support staff to strengthen communication, problem solving, and customer service skills., • Monitor the member appointment calendar daily., • Demonstrate the ability to prioritize tasks and reallocate resources to meet operational needs., • Liaise with other departments to resolve processing issues, improve workflows, and enhance the participant counseling experience, • Draft and/or review complex member communications., • Review and update of all forms and letters mailed to members and pensioners in accordance with the Funds style guidelines and Fund Counsel/Compliance approval., • Assist CARE Team Management in any necessary preparation for Trustee meetings., • Address escalated issues/calls as necessary with senior management., • Identify and arrange for any training that may prove valuable to team., • Participate in benefit planning seminars by presenting information to large groups; may require travel to various seminar locations., • Oversee special or recurring projects as assigned. Qualifications (Competencies): • 5+ years of supervisory experience in benefits administration, retirement plan administration, or health plan operations., • Prior experience in call center operations preferred., • Core Competencies:, • Empathetic Service Leadership: Leads with compassion, models high-quality customer care, and demonstrates patience when supporting members., • Data-Driven Management: Uses dashboards, trends, and insights to drive operational improvements and clearly communicate results., • Critical Thinking & Case Evaluation: Analyzes complex member situations, identifies root causes, applies benefits rules logically and consistently., • Judgment & Risk Awareness: Recognize when to escalate issues and balances member advocacy with policy and compliance considerations., • Operational Supervision: Skilled with KPIs, SLAs, queue management, and quality standards while balancing efficiency with service excellence., • Coaching & Development: Builds team capability through feedback, modeling best practices, and training opportunities., • Strong organizational skills and high attention to detail., • Advanced mathematical and quantitative skills., • Proficiency in MS Office (Word, Excel, Access, etc.), Dynamics, V3locity, or Case Management systems., • Must possess a strong sense of ownership as well as the ability to take initiative to work independently, • Demonstrate creativity and innovation while solving problems efficiently., • Maintains excellent attendance and punctuality. Soft Skills (Interpersonal Skills): • Strong oral and written interpersonal skills., • Demonstrated commitment to exceptional customer service and member-centric support., • Excellent communication skills., • Ability to work independently coupled with the ability to work as a member of a team., • Outstanding work ethic and employment record., • Ability to motivate and inspire others, especially during periods of change or high case volume., • Ability to handle sensitive conversations with tact and compassion. Education: Bachelor's degree in Business Administration, Finance, or a related field preferred. Language Skills: Bilingual English/Spanish preferred. Reasoning Ability: High Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • 1/3 to 2/3 of the time: Work near moving or mechanical parts, exposure to radiation, moderate noise.

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: Operations Research Professional Type: Contract Compensation: $60–$80/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author clear, unambiguous, open-ended operations research prompts that elicit evaluable AI responses., • Verify prompts are within the scope of the assigned subdomain and correctly rated for difficulty., • Ensure all 5 prompts in a task are sufficiently distinct from one another with varying difficulty levels., • Apply expert judgment to assess the depth and quality of quantitative reasoning required. Must-Have • Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, or a closely related field., • 2–6 years of professional or research experience in optimization, logistics, or decision science., • Strong command of mathematical programming, probabilistic modeling, and algorithmic methods., • Upload resume, • AI interview based on your resume

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: Operations Research Professional Type: Contract Compensation: $60–$80/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author clear, unambiguous, open-ended operations research prompts that elicit evaluable AI responses., • Verify prompts are within the scope of the assigned subdomain and correctly rated for difficulty., • Ensure all 5 prompts in a task are sufficiently distinct from one another with varying difficulty levels., • Apply expert judgment to assess the depth and quality of quantitative reasoning required. Must-Have • Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, or a closely related field., • 2–6 years of professional or research experience in optimization, logistics, or decision science., • Strong command of mathematical programming, probabilistic modeling, and algorithmic methods., • Upload resume, • AI interview based on your resume

Job Description Quant Developer/Market Maker The Company - Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies. All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling. The Role – Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them. This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered. Qualifications ¬ Experience working with high performance trading systems, specifically market making systems. ¬ FX is preferred over equity, because it translates better to the crypto-market. ¬ Strong Java/C# Programming ¬ Ability to develop systematic models from a mathematical approach ¬ Strong Math/Quantitative Skills and experience with Large Data Sets ¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance) Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionContractRemoteRole DescriptionFast-growing AI data services company and subsidiary of, is seeking mathematicians to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check quantitative information across; write high-quality mathematical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on mathematical correctness and reasoning quality.Your Profile • You hold a MS or PhD in Math/Stats or a related field in one of the top 100 universities., • Confident in pure and applied mathematics, proofs, modeling, statistics/probability, and optimization., • Expert at fact-checking information using public sources across multiple domains., • You communicate mathematics clearly and turn advanced theory into real-world solutions., • Background in research, analytical writing, debate, programming, or mathematics is preferred., • English proficiency C1 and above with excellent writing skills., • For PhD holderss: you have developed or critically reviewed complex math content (e.g., problem banks, proofs, textbook sections, research notes)., • Bonus: Data labeling, RLHF, or AI model evaluation experience.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.