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Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Data you will lead and represent a team of data engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and data model changes in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Analytics, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • 2+ years managing and mentoring data engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $200,000 and $250,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Job Details: • Title : Nuclear Medicine Technologist, • Location : New York, NY, • Job Type : Full time Permanent, • Responsible for performing brain SPECT scans, as well as related general quality assurance procedures, • Performing brain SPECT scans, • Patient preparation of IV, • Preparation of patient doses, • Administration of patient doses, • Processing and printing scan images before end of workday, • Administration of testing protocols, • Maintain Odyssey hard drive, • Maintain an accurate and up to date logbook, • Perform daily quality control on cameras, • Perform all hot lab duties, • Daily constancy with two sources, • Daily surveys, • Weekly wipe tests, • Order correct number of isotopes vials a day prior to scans, • Maintain all required documentation, • Perform semi-annual sealed source leak test, • Perform quarterly dose calibrator linearity tests, • Perform annual geometry and accuracy test on dose calibrator, • Current Nuclear Medicine Technologist License in applicable state, • Ability to work efficiently with large patient volumes in a fast-paced environment, • Capable of working with challenging patients, • Ability to communicate technical information to general public, • Time management and organization and ability to work independently and within a team are critical., • Empathy, emotional stability, ability to relate well to others, good communications skills and above all genuine care and regard for the patient are required 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 with disabilities to perform the essential functions. • Frequent typing and viewing of a computer screen, • Frequent sitting for long periods of time, • Frequent use of hand and fingers with machines, such as a computer, copier, fax machine, scanner and telephone, • Frequent hearing, listening and speaking by telephone and in person, • Occasionally required to stand, walk, reach with hands and arms, stoop or bend The work environment described here are representative of those that an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The noise level is usually moderate, • Work indoors in temperature-controlled environmentCompany DescriptionLanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.

Job Description Providing Engineering and Manufacturing solutions since 1955, Triangle specializes in the precision engineering and manufacturing of highly complex, tight-tolerance machined parts and assemblies. Triangle continues to thrive in more than 107,000 square feet over four state-of-the-art facilities at our Upper Saddle River, NJ campus. As a family-owned company, we foster a workplace that supports customer-driven, growth-oriented values and has a passion for surpassing expectations. We invest in our associates and create a supportive, team-based environment for learning, innovation, and advancement. Triangle is not only a family-run business; it's also a place where our associates feel like family. We believe in the same values and bring the same passion to our work each day to make a difference in people's lives. SUMMARY Responsible for meeting customer requirements of on-time delivery and quality through the effective operation of conventional and/or CNC equipment while adhering to the Quality Management System, all applicable regulations and company standards, and Lean Manufacturing Principles, and performing the following duties. 2nd Shift - 3:15 PM to 11:45 PM ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Understands job specifications and blueprints, as instructed. Independently operates conventional and CNC machining centers. Tests and inspects products during the manufacturing operation to determine if items meet specifications, complying with established standards and methods for inspection, testing, evaluation, and calibration. Understands and follows all written instructions as per tool sheets, inspection plans, etc., and accurately completes all required documentation at the time of the task, as well as provides required data for established metrics in the area. Examines defective machinery to determine problems and reports the need for machine repairs. Inspects and measures tools and equipment for defects and wear, and corrects damage. Recommends process improvements to TC or management. Completes all required documentation on a timely basis. Understands and complies with company policy, safety guidelines, quality system procedures, and housekeeping standards. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience High school diploma or general education degree (GED) and 1-2 years CNC machinist experience. Mechanical inspection background. Language Skills Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to update job-related documentation. Ability to effectively present information one-on-one to other employees of the organization. Mathematical Skills Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. Reasoning Ability Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. Triangle does not sponsor for employment visa status. Triangle is proud to be an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Powered by JazzHR 1ds4UGGAL7

Job DescriptionAbout LogRocket Founded in 2016, LogRocket's goal is to make every experience on the web as perfect as possible. We're solving a huge challenge for product managers and developers - understanding the user experience. LogRocket is the first system that gives these teams complete visibility into their customer's experience using their web apps - through pixel-perfect replays of user sessions and clear insight into logs, errors, and network activity. We've already attracted an elite roster of over 2,800 customers including ClassPass, Capital One, Cisco, and Rippling, just to name a few. Our focus is on building software with care and craftsmanship and our engineering blog posts offer a taste of that. Backed by top investors such as Matrix Partners, Battery Ventures, and Delta-V Capital, we've raised $55M in funding and we're eager to bring talented people onboard to support our growth. We're on a mission to improve society's experience with software and that's where you come in.Responsibilities (Sample Projects) • Design a system to automatically detect the most common user paths across millions of events, • Implement a search backend that allows users to search in real time across billions of log entries, • Build a machine learning pipeline that automatically detects bugs in our users' apps, • Automate database scaling to improve operating cost while maintaining the ability to respond to traffic spikes, • Build a system that automatically recommends integrations for customers based on their toolsetQualifications, • 7+ years of experience in a full stack or backend development role, preferably with a SaaS company, • Experience with state of the art cloud technologies, including architectural principles, specific tools of the trade, and their strengths and weaknesses, • Hands-on experience building and redesigning highly available distributed systems, • Familiarity with modern Javascript-based applications and frameworks, • Experience in development environments with demanding scalability or availability requirements, • A strong collaborator who is transparent about progress on tasks, seeks feedback early and often, works effectively with the team to deliver on engineering estimates, • Acts as a mentor to junior engineers and provides coaching to upskill other team members, • If you don’t meet all of these, we still encourage you to apply. We believe that code is code, regardless of language, and learning different tools is part of joining a new companyBenefits & Perks, • Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!), • Unlimited vacation policy, • Health, Dental, Vision benefits, 401k, commuter benefits, • Generous stock options

Job Description Amen Clinics are outpatient health care clinics that have been providing mental wellness strategies to patients of all ages since 1989. We offer patient-first experiences and customized solutions to an array of behavioral and psychiatric conditions. This is an exciting and unique professional opportunity. The psychiatrist provides clinical leadership to ensure treatment is evidence-based and outcome driven. In addition to having the use of master’s level clinical historians, psychological testing, neuropsychological screening tools, functional brain imaging, and emerging treatments such as TMS and neurofeedback, you will be in a healthy and aesthetically pleasing work environment. You will be mentored on a variety of integrative methods that will expand your professional repertoire. You will also have multiple opportunities for writing and speaking, if that appeals to you. Essential Duties and Responsibilities: • Assist in the development, promotion and delivery of the approved Amen Clinics Method to brain health, • Patient evaluations – incorporate clinical history and brain SPECT scan findings during patient evaluation and complete final report on the day of patient evaluations., • Expected to remain current with brain imaging, psychiatric, pharmaceutical and nutraceutical technologies., • Evaluation and treatment of patients with various conditions, including: o Attention deficit/hyperactivity disorders o Mood disorders o Anxiety disorders o OCD o Psychosis o Post-Traumatic Stress Disorder o Traumatic brain injury o Obesity o Medical issues/hormone imbalances o Addictions o Alzheimer’s Disease o Memory and learning issues o Cognitive impairment o Autism spectrum disorders o Brain infections, such as Lyme disease • Commitment to using evidence-based, non-pharmacologic interventions correlated with research findings by Amen Clinics., • Attending Physician and Staff meetings., • Outreach/collaboration with outside professionals in order to build good relationships with referral sources. Qualifications and Requirements: • Board Certified preferred. Double Board Certified – a plus., • Experience working in a private practice setting--being efficient, developing referral relationships, doing outstanding clinical work, and establishing positive therapeutic relationships., • Willingness to learn to use brain imaging in clinical practice. We will train you to use brain SPECT imaging., • Experience dealing with medical issues including hormone imbalance and deficiencies as well as understanding the role they play in contributing to and/or complicating mental illness., • Experience treating patients with interventions other than psychotropic medications, including psychotherapy and evidence-based nutraceuticals. For those with limited experience in nutraceutical and other non-pharmacologic interventions, we will provide training., • Dedication to helping individuals, families and systems (such as schools, businesses, and treatment facilities) reach their full potential by creating and developing “brain healthy” strategies and practices., • Time management, organization and computer skills and ability to work independently and within a team are critical., • Excellent command of spoken and written English., • Empathy, emotional stability, ability to relate well to others, good communications skills, and above all genuine care and regard for the patient. 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 with disabilities to perform the essential functions. • Sitting for long period of time, • Frequent typing and viewing of computer screen, • Frequent use of hand and fingers with machines, such as computer, copier, fax machine, scanner and telephone, • Frequent hearing, listening and speaking by telephone and in person, • Occasionally required to stand, walk, reach with hands and arms, stoop or bend Work Environment: The work environment described here are representative of those that an employee encounters white performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Work indoors in temperature-controlled environment, • The noise level is usually moderate with occasional outbursts from patients during treatment

Job Description The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of user taste across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. Join us and you’ll keep millions of users listening to great recommendations every day.What You'll Do • Contribute to defining the machine learning technical strategy at the intersection of generative recommenders and foundational user modeling, • Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that connect fans and artists in personalized, meaningful ways, • Provide expert technical leadership and direction to accelerate development, ensure scalability and push the boundaries of current methods, • Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML developmentPrototype new modeling approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML model development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Engage with the broader ML community within Spotify and stay current with ML research to inspire and evolve our approachesWho You Are, • You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact, • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus, • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so, • You enjoy leading projects from start to finish working closely with your team and peers, • You are comfortable dealing with ambiguity on high impact projects, • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders, • You care about agile software processes, data-driven development, reliability, and disciplined experimentation, • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges, • You’re passionate about the opportunity to enrich the listening experience for users around the worldWhere You'll Be, • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.

Job Description About Voyant 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. Why Join us? At Voyant, you’ll be part of a team turning cutting-edge research into real-world products. As a growing startup, we offer interns the chance to make a meaningful impact, work closely with senior engineers, and learn what it takes to build disruptive sensing technology. This is more than an internship — it’s a chance to grow your technical skills and career in one of the most exciting fields of hardware innovation. The Role: We’re seeking an Industrial Engineering Intern to support our Manufacturing Operations team as we scale from prototypes to full-scale production. You’ll gain hands-on experience helping optimize processes, improve efficiency, and ensure smooth day-to-day operations in a fast-paced, high-tech manufacturing environment. Location: NYC Duration: 4 months Hours: 12+ hours per week Responsibilities: * Support the operations in transitioning Voyant’s operations from pre-production to full-scale production. * Assist in developing, documenting, and optimizing manufacturing and assembly processes. * Help create workflow layouts, standard operating procedures, and assembly instructions. * Conduct time studies, process mapping, and efficiency analysis to identify bottlenecks and recommend improvements. * Support inventory management, material flow, and supply chain tracking initiatives. * Collaborate with engineering, quality, and manufacturing teams to ensure manufacturability, testability, and cost targets are met. * Assist with data collection and analysis for production KPIs, continuous improvement initiatives, and process validation. * Support cross-functional projects, including vendor management, equipment setup, and pilot production activities. Qualifications * Pursuing a degree in Industrial, Manufacturing, Mechanical Engineering, or a related field. * Strong analytical skills and interest in manufacturing operations. * Detail-oriented, organized, and able to work collaboratively across teams. * Familiarity with Lean Manufacturing or process optimization is a plus. What We Offer * Team events and company meetups * Complimentary lunch provided daily at our NYC office * Hands-on experience in cutting-edge LiDAR hardware manufacturing. * Work directly with senior operations and engineering leaders. * Exposure to real-world manufacturing operations in a high-growth startup environment. * Potential to transition to full time position 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 iAutomation is a high technology distributor of automation components to the industrial automation market. With product technologies in controllers, motion systems, pneumatics, safety, vision, sensing and mechanical, iAutomation is equipped to solve all automation applications. With an emphasis on providing the most innovative technologies and engineering support, iAutomation differentiates itself from all other competitors in our market space. Our engineering services include product kitting, sub-assembly manufacturing, electrical panel design and fabrication and the development of system software. All these services ensure the successful utilization of our distributed products. iAutomation is headquartered in Franklin, MA with regional offices in Virginia, Florida and Wisconsin. iAutomation is hiring a Machine Control Sales Manager to lead a specialized team of complex system sales engineers throughout the iAutomation geography. In this role, you will have the opportunity to build and develop a team of sales and software engineers. This team will be tasked with working in cooperation with the territory sales teams to engage high profile OEM’s to generate interest, evaluate control system options, secure prototype orders and ensure the successful transition into recurring production orders. The Machine Control Sales Manager will be located on the East Coast with required travel throughout the iAutomation geography. Sales Strategy and Planning • Embrace and drive company sales strategies. Develop plans to achieve annual goals aligned with company objectives., • Establish sales objectives by forecasting sales volume and developing quotas for team territories and the region., • Review and adjust long- and short-term sales goals., • Monitor economic indicators, changing trends, supply and demand, and competitors to maintain sales volume and product mix. Team Leadership and Development • Develop and lead a high-performing sales team., • Develop and lead a high-performing software team., • Support the team in qualifying and managing leads to meet individual and team objectives., • Develop sales staff with key competencies in products and sales to enhance performance., • Develop technical and sales training opportunities for all team members., • Participate in interviews and the recruitment process for new employees. Customer and Account Management • Identify opportunities for existing and potential new customers that meet an agreed upon profile that will maximize the probability of success., • Identify opportunities for existing and potential new customers within the iAutomation geographical area to meet/exceed annual sales goals and grow market share., • Build and maintain strong relationships with key customers and support sales representatives., • Document customer interactions and maintain data related to sales strategy, activities, accounts, and vendors. Operational Efficiency and Reporting • Ensure diligent follow-up on all sales opportunities (direct and indirect) and document all relevant information in NetSuite (CRM)., • Maintain and report on sales forecasts, potential sales, customer feedback, activity plans, and other required reports., • Manage key account and supplier relationships., • Ensure the team receives adequate support from the organization at various levels. Performance Measurement and Analysis • Measure and analyze key performance indicators (KPIs) and return on investment (ROI)., • Support the development of strategies and goals for distribution and integration opportunities. EDUCATION AND EXPERIENCE Requires a Bachelor’s degree in an engineering or business discipline and 10 years’ experience in a field sales role. Experience in selling or supporting technical and high-value control systems. Strong background in business development, including relationship building, contract and terms review, complete customer interaction with multiple departments and functions. Distribution sales experience required. Industrial automation sales experience required. • Principals ONLY – No Third-Party Recruiters iAutomation Supports Equal Opportunity Employment & Diversity.

Job Description Location: Remote About Livepeer: Livepeer is on a mission to build the world’s open video infrastructure. Founded in 2017, it is the world’s first open-source protocol for decentralized video streaming, built on Ethereum. The project has empowered developers to create scalable, cost-effective, and censorship-resistant video applications. The Livepeer network has transcoded billion of minutes, serving Web3 and Web2 platforms across gaming, entertainment, social media, and beyond. In 2024, Livepeer AI was introduced, unlocking Livepeer’s compute network for AI inference workflows. From real-time video transcription and object detection to scene recognition and AI-powered editing, Livepeer AI brings advanced machine learning directly into the decentralized video stack. These new tools not only reduce costs but also empower developers to build richer, smarter, and more engaging video experiences—whether for Web3 platforms, AI-powered dApps, or even traditional video use cases. Your Role: Livepeer AI is looking for an experienced, self-driven SRE Engineer – someone that loves to build tools automate everything and deliver the best production experiences for end users. They are passionate about keeping all our user-facing services and Livepeer production systems running smoothly. They specialise in systems (operating systems, storage subsystems, networking, GPU clusters, Docker), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. We value reliability. We approach the infrastructure with craft and think a lot about form and function. You should feel equally at home talking to developers and designers. We are looking for someone who cares about the reliability of the infrastructure as much as we do. You will ensure the final product is high quality and works as intended. Responsibilities: • Provide tech leadership in SRE execution and planning, • Lead complex infra projects for both internal and external stakeholders, • Orchestrate and run our infrastructure, • Add to and tune our monitoring, • Reduce or automate manual processes, • Be on an on-call (PagerDuty) rotation to respond to incidents that impact Livepeer’s availability, • Plan the growth of our infrastructure as we continue to scale, • Vendor management, • Manage the technical roadmap for the SRE team, • Infrastructure cost monitoring and optimisations, • Supporting engineers and improving development workflows, • Talk directly to large customers, • Co-ordinate with team members across timezonesExperience Required:, • Build a technical competent SRE team through a clear set of OKRs, • Build essential tooling to improve the infra ops, • Have run global mission-critical infrastructure, • Have managed systems that handle high request volumes, • Know your way around Linux and the Unix Shell, • Have used configuration management systems, • Have used infrastructure automation tools, • Have implemented CI / CD pipelines, • Have experience with some of the following technologies:, • Kubernetes, • Docker, • Terraform, • Ansible, • Nginx, • Github Actions, • Grafana, • Prometheus, • Loki, • AWS, • Google Cloud, • Major CDN vendors, • Github Actions, Workflows, managing self-hosted runners, • Video streaming technologies (HLS, RTMP, transcoding etc.), • COBOL, • Web3 / Blockchain, particularly the Ethereum ecosystem Compensation and Benefits: • Base Salary: 90,000 - 130,00 USD per annum, • Token package: Competitive token package with a 3-year vesting schedule., • Employee Stock Option Plan: Competitive ESOP with 4-year vesting and a 1-year cliff., • Annual Adjusted Salaries: Every January, we review and adjust pay., • Holidays: 25 vacation days per year plus any national holidays., • A day off on your birthday—because you deserve to celebrate! (If it falls on a weekend, take another day off that week.), • Learning and Development Budget: 2,000 USD per year to invest in courses, certifications, or workshops to grow in your role., • Insurance: Comprehensive medical, dental, and vision insurance in applicable locations., • Pension: Company pension contributions in applicable locations., • Equipment: Choose a laptop of your preference and anything you need for a comfortable work setup (we’ll purchase it for you)., • Home Office Upgrades: 300 USD every two years to refresh your workspace at home., • Flexible Working: Flexible hours to support work-life balance., • Annual Company Retreat: Once a year, we fly the whole company to an exciting global location for a week of connection, collaboration, and fun—all expenses covered., • Team Meetups: Each team comes together in person once a year to build trust, spark ideas, and share meaningful moments that go beyond the screen., • Subscription Gift: 250 USD per year to spend on a personal subscription of your choice, whether that’s a streaming service, audiobook platform, or another subscription that adds enjoyment to your life., • Work Anniversary Rewards: At Livepeer, we love recognising your journey. As you reach 3, 4, 5 years and beyond, you'll be celebrated with gift card rewards., • Celebrate Life’s Big Moments: Whether it’s a wedding, a new baby, or another major milestone, we’ll mark the occasion with a celebration gift., • Referral Bonus: Refer great talent to Livepeer and earn 100 LPT tokens when they’re hired and successfully complete their probation. Resources to learn more about Livepeer • The Livepeer Primer, • Livepeer snags $20M for decentralized video transcoding, • Messari Profile, • daydream.live

Job Description Machine Learning Engineer (15265-1) Newark, NJ Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: • Lead and drive machine learning projects from inception to production: build relationships with business partners and cross-functional teams., • Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models., • Partner with data scientists to understand, implement, train, and design machine learning models., • Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform., • Construct optimized data pipelines to feed machine learning models., • Extend existing machine learning libraries and frameworks., • Develop processes, model monitoring, and governance framework for successful ML model operationalization., • Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results., • Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations., • 7+ years of experience in Machine Learning., • Extensive software engineering experience with strong working experience as a Machine Learning Engineer., • Bachelor's degree in computer science, computer engineering, or a related engineering field. Masters degree preferred., • Advanced proficiency with Python, Java, and Scala., • Strong computer science fundamentals such as algorithms, data structures, multithreading., • Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG., • Experience using ML and DL Libraries:XGBoost, SKlearn, Tensorflow or PyTorch, • In-depth experience building solutions using public clouds such as AWS, GCP., • Experience using ML platforms like SageMaker, H2O, DataRobot, etc., • Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc., • Experience managing relationships in a cross-functional environment with multiple stakeholders., • Experience with developing and deploying production-grade applications with ML inferences using automation pipeline on cloud., • Experience working in Agile/ Scrum development process., • Thought leadership and innovative thinking., • Please submit the candidate's resume in PDF format., • Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered., • Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.

Job Description AMDS, a Rezolut company, is seekiing an MRI/X-ray Technologist to join our team! Who is Rezolut? Rezolut is a national emerging platform of diagnostic medical imaging services. With focus on four key platforms, our vision is to provide topnotch patient care partnered with innovative technology — to achieve better health outcomes. We provide high-quality, cost-effective, fixed-site outpatient diagnostic imaging as well as mobile imaging and health services. In each of our regions, we are the best in radiology, offering all radiology services! Job Summary The MRI Tech will perform diagnostic testing by effectively and efficiently completing all MRI and MRA exams. Our ideal teammate: • Is a self-directed learner who is willing to apply direct feedback and continuously and humbly self-assess in order to grow personally and professionally., • Will work under general guidance with some expectation of autonomy., • Has excellent verbal and written communication skills and strong attention to detail., • Has the ability to prioritize tasks and to delegate them when appropriate., • Operate closed and open scanners., • Interpret physician instructions, select software options and imaging parameters when adjusting an MRI machine., • View images during exams and report anomalies to radiologists and document them., • Properly send images to PACs and archive images; print CDs., • Make sure comparison images are available for reading physicians., • Communicate effectively with radiologists to determine exam protocols, etc., • Maintain sensitivity to physical and psychological needs of patients., • Monitor and continually communicate with patients throughout the MR exam., • Work with Center Director to document incidents that occur at the facility., • Screen patients for any precautions or contraindications prior to them entering the magnetic field and thoroughly research all implants, devices, etc., • Perform daily QA for each magnet; maintain patient log; enter clinical information., • Perform injections as needed., • Maintain patient confidentiality in compliance with HIPPA guidelines., • ARRT Certification, • BLS/CPR Certification What We Offer • Immediately accrue PTO as you work! (Full Time), • 6 Observed Holidays, • Medical, Dental, Vision, Life and other voluntary insurances for full-time employees, • 401(k) Retirement plan, • Employee Assistance Program, • Full Time, • Monday- Friday 8a-4p, alternate Saturdays

Job Description Why We Work Here: • Supportive and friendly culture, • Growth opportunities, • Competitive Pay & Benefits, • Company paid Holidays, Sick time and Vacation time Our Sheet Metal Fabricators play an important role in our company. They fabricate and assemble sheet metal using machines and hand tools to product high quality HVAC ductwork. Responsibilities • Select gauges and types of sheet metal or non-metallic material, according to product specifications., • Operate machines to cut, shape, and form sheet metal including roller, rotodie, shear, punch press, hand brake, weighting machine, plasma cutters, and more., • Drill and punch holes in metal, for electrical components, screws, bolts, or rivets., • Fasten seams and joints together with welds, bolts, cement, rivets, solder, caulks, metal drive clips, and bonds to assemble components into products or to repair sheet metal items., • Trim, file, grind, deburr, buff, and smooth surfaces, seams, and joints of assembled parts, using hand tools and portable power tools., • Finish parts, using hacksaws, and hand, rotary, or squaring shears., • Develop and lay out patterns that use materials most efficiently., • Insulate ductwork using glue & pinspotter. 1-3 years experience in a similar role required. Must be able to stand for the duration of the day to perform sheet metal working tasks. Constant reaching to perform fabrication tasks, use tools and operate machines. Occasionally lift up to 70lbs Powered by JazzHR SOHIF6wJwR

Job Description Job Title: Tool and Die Maker or Apprentice Die Maker Role Description This is a full-time on-site role for a Tool and Die Maker or Apprentice Die Maker at Carter Manufacturing Co. located in Moonachie, NJ. The Tool and Die Maker will be responsible for manufacturing and repairing precision tools, dies, and fixtures, as well as setting up and operating machine tools for production. We are looking for an experienced or apprentice die maker. Qualifications • Proficiency in operating machine tools and equipment, • Knowledge of blueprint reading and precision measuring instruments, • Experience in tool and die making and fabrication, • Strong problem-solving and troubleshooting skills, • Ability to work independently and collaboratively in a team environment, • Technical diploma or apprenticeship in tool and die making preferred but not required High School Diploma or GED preferred Experience preferred but not required Someone who is willing to learn, mechanically inclined, and knowledgeable Abilities: Ability to understand and follow oral or written instructions Ability to prepare documents, production sheets and other related paperwork as required by our procedures Ability to operate and repair tools, dies and operating devices that enables the machines to produce metal parts Company DescriptionCarter Manufacturing has been around for over 70+ years, making precision metal stampings for many different industries. Come and join our team today!Carter Manufacturing has been around for over 70+ years, making precision metal stampings for many different industries.\r\nCome and join our team today!

Job DescriptionAbout Us: Blockworks is an information platform that sits at the center of the crypto industry. We transform raw, complex data and facts into actionable research, trusted news, alpha-driven insights, and world-class events. The result is transparency and confidence. We enable investors, operators, and institutions to see past the noise, make better decisions, and drive the industry forward. Who You Are: You’re a crypto-native product leader who thrives at the intersection of curiosity, creativity, and execution. You think big, act decisively, and lead with conviction, but you’re also humble enough to know and admit when you’re wrong. You’re equal parts product strategist and user champion, and love designing the best products possible. You get a thrill out of identifying patterns in user behavior, pushing past surface-level feedback, and solving real problems in unexpected ways. You’re a player-coach at heart. You know how to set a high bar and inspire teams to reach it, but you’re not afraid to roll up your sleeves and get into the details when the moment calls for it. You think in systems, prioritize like a machine, and communicate with clarity. Above all, you care deeply about building products that users love and that move transparency in the crypto industry forward. What You’ll Do: As our VP of Product, you’ll lead the Product, Data, and Research teams and help shape the next generation of tools that make crypto more transparent. You’ll work closely with our co-founder and leadership team to set a bold product vision and strategy, prioritize ruthlessly, and deliver high-impact solutions that delight users and drive the business. Your role will span strategy, leadership, execution, and cross-functional alignment, and you’ll be at the center of Blockwork’s growth in the years ahead. Every day will look a little different, but in general, you will do things like: * Set and Evangelize Product Vision: In partnership with our co-founders and product owners, you’ll define and champion our short and long-term product vision that aligns with our mission and scales alongside the business. * Be the Voice of the Customer: You’ll go deep and engrain yourself in the feedback and perspectives of our customers, synthesizing user insights, market trends, and competitive intelligence to guide strategic decisions and shape new product bets. * Own the Product Roadmap: You’ll drive the prioritization and execution of a strategic roadmap that balances user needs, business impact, and technical feasibility. * Drive Cross-Functional Execution: You’ll partner with Engineering, Research, Design, and GTM teams to ensure high-quality, timely, and consistent product delivery. * Measure What Matters: You’ll define success metrics, track performance, and instill a data-informed mindset across the team. * Level Up the Function: You’ll put systems, rituals, and frameworks in place that improve decision-making, accelerate delivery, and enable scale. * Build and Lead a World-Class Team: You’ll hire, mentor, and empower a team of product owners and product managers who innovate new solutions, deliver results and grow with the company. * Represent Product at the Executive Level: You’ll serve as a key voice on the leadership team, aligning stakeholders and making trade-offs with context and clarity. Experimentation is frequent at Blockworks. Comfortability with being uncomfortable is a must. What You’ve Done Before: Experience aside, you must be crypto-native to be successful in this role. In addition to being intimately involved in the crypto industry, you’ve led Product at a high-growth company where you built and scaled a SaaS platform; ideally from the ground up. You’ve worked in fast-paced environments where ambiguity is constant, but the bar for quality never drops. You’ve led product teams, managed multiple product lines, and worked shoulder-to-shoulder with Engineering, Design, and Sales to ship meaningful products. You’ve spent years in the crypto space—not just watching from the sidelines but deep in the weeds. You’ve lived through the bear and bull cycles, understand the competitive landscape, and can talk fluently about on-chain data, protocols, and DAOs and their unique needs. It’d Be Great If You’ve Done This: If you’ve worked at the intersection of media, data, and analytics, we want to hear about it. If you’ve built tools for institutional investors or crypto-native operators, that could set you apart from other candidate. We’d love it if you’ve also worked with founders before and helped shape the company’s product rhythm and culture from the ground up. If you’re the type who sees around corners, thrives in a zero-to-one environment, and knows how to coach others while scaling yourself, you’ll feel right at home here. Salary, Benefits, & How We Work: This is a full time exempt position with an expected salary of $250,000/year. Benefits: Remote-First: We're a remote-first organization with an office in NYC for you to utilize as you please. 100% Medical Coverage for You: Close to fully paid medical, dental, and vision insurance for you, and a significant portion covered for your dependents. Flexible PTO: We have a flexible paid time off policy that doesn't limit the number of vacation days you can take. Parental Leave: At Blockworks, all team members are eligible for 14 weeks of fully paid parental leave. Hardware Stipend: Every team member has a stipend to use to purchase the tools and technology that help them be their most productive. Learning & Growth Stipend: Every team member has a stipend to spend on their skill growth and professional development. Career Growth: We prioritize skill growth and career development, and we have a clear, documented structure to take the guesswork out of individual development and career progression Global & Diverse Team: We're a global team, and we're committed to creating an open, inclusive, and diverse work culture Come build with us; we're just getting started! We know that diversity makes for the best problem-solving and creative thinking. We are dedicated to adding new perspectives to the team and encourage everyone to apply if your experience is close to what we are looking for. Blockworks is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Compensation Range: $250K

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales. * You will build foundational models for biology capable of reading and writing biology at scale * You will develop deep generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systems * You will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasets * You will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimization * You will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splits Who We're Looking For: * You have a Bachelor's in Computer Science, Machine Learning, or a related technical field * You have 3+ years of experience in developing and implementing deep generative learning models * You have experience pre-training models and are proficient in distributed computing environments * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX) * You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencoders * You are skilled in working with terra-scale datasets and scaling models to billions of parameters * You have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metrics * You have experience in designing and implementing efficient data pipelines for processing and managing large datasets * You are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projects * You are experienced in code organization, version control, and collaborative software development practices. Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts * You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity Bonus points * You have experience applying machine learning to biology or chemistry * You have contributed to open-source machine learning projects or published research papers in the field of AI/ML * You have experience optimizing machine learning models for high-performance computing environments * You are familiar with ML-Ops practices and tools for managing ML experiments and deployments Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking. * You own your day-to-day management. What we care about is that we all hit our milestones. * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark! Compensation Range: $110K - $250K

Job DescriptionReporting to the Chief Digital & Technology Officer, you will lead the strategic development of Alimentiv’s data architecture,business intelligence platforms, and analytics capabilities. This role will be responsible for designing and implementing end-to-end operational data flows, building secure and scalable data repositories in Azure, and establishing right-sized governanceframeworks. In addition, the Director, Enterprise Data will be expected to generate tangible business value from data, using itnot just for reporting, but to drive smarter decisions, improve trial execution, and unlock new opportunities across theorganization.Responsibilities • Data Architecture and Platform Leadership, • Architect and implement enterprise-grade data platforms in Azure, supporting structured and unstructured data across clinical and corporate domains., • Design and maintain scalable data pipelines and repositories that support real-time and batch processing., • Ensure data integrity, security, and compliance with GxP and regulatory standards., • Operational & Enterprise Data Strategy, • Map and optimize end-to-end data flows across clinical operations, including study startup, site management, patient recruitment, and monitoring., • Extend data architecture and analytics capabilities to support Finance, HR, BD, and other internal functions., • Integrate data from leading clinical applications such as Veeva Vault Clinical, CTMS, and EDC systems, as well as ERP, HRIS, and CRM platforms., • Value-driven Insights & Innovation, • Use data to drive measurable improvements in clinical operations (e.g., optimizing site selection, accelerating patient recruitment, and reducing trial timelines), • Move beyond traditional dashboards to develop novel, predictive, and prescriptive analytics that uncover hidden patterns and inform strategic decisions., • Collaborate with stakeholders to identify high-impact use cases where data can solve real business problems., • Governance & Compliance, • Implement right-sized data governance frameworks that balance agility with regulatory compliance., • Define data stewardship roles, metadata management practices, and data quality standards., • Lead data audits and ensure readiness for regulatory inspections., • Analytics, BI, AI/ML Enablement, • Build and scale business intelligence platforms that deliver actionable insights to clinical and corporate stakeholders., • Enable internal functions (i.e., Clinical Data Sciences) by providing the data architecture, infrastructure, and tooling necessary to deliver study-level reporting and analytics to clients., • Partner with data scientists to deploy AI/ML models that improve forecasting, risk detection, and operational, • efficiency., • Champion the use of predictive analytics and automation to enhance trial execution and enterprise decision-, • making., • Leadership & Collaboration, • Build and mentor a high-performing data and BI team, including data engineers, analysts, and architects., • Foster a culture of data-driven decision-making and continuous improvement., • Communicate technical concepts and insights effectively to executive leadership and cross-functional teams.Qualifications, • Education & Experience: Bachelor's degree + a minimum of 10 years' related experience in large scale organizational data strategy and leadership; 15+ years preferred. An equivalent combination of education and experience may be considered given the competencies needed for the role (outlined below) can be demonstrated., • Data Architecture Expertise: 10+ years in enterprise data architecture, with deep experience in Azure data services (e.g., Data Lake, Synapse, Databricks, etc.), ETL/ELT pipelines, and data modeling., • Clinical Operations Understanding: Strong grasp of clinical trial workflows and operational data flows within CROs or life sciences organizations., • Enterprise Data Support: Experience supporting data needs across Finance, HR, BD, and other corporate functions., • Value Creation from Data: Demonstrated success in using data to drive business outcomes, such as improving site selection, patient recruitment, cost forecasting, or operational efficiency., • Governance & Compliance: Experience implementing data governance in regulated environments, with knowledge of GxP, GDPR, and HIPAA., • AI/ML Exposure: Familiarity with deploying or leveraging machine learning models in production, ideally within healthcare or clinical research settings., • Application Integration: Experience integrating data from clinical systems such as Veeva Vault Clinical, CTMS, and EDC platforms, as well as ERP and HRIS systems., • Other technical requirements: Proven success in building BI platforms (e.g., Power BI, Tableau) and enabling self-service analytics across business units; Experience utilizing Microsoft Fabric., • Strategic Vision & Execution: Ability to align data initiatives with business goals and communicate effectively with technical and non-technical stakeholders.

Job Description H&H is offering an exciting opportunity for a Mechanical Designer to join our New York City office. With over 138 years of experience, H&H is a trusted full-service infrastructure engineering firm. Our clients, including infrastructure owners, contractors, and colleagues, rely on us for intricate and innovative engineering solutions. They trust our time-tested ability to manage the entire life cycle of a project, from the study and planning phase through to design and construction. With over 600 talented employees located across 32 offices nationwide, H&H can efficiently and effectively handle assignments of all sizes, types, and delivery methods around the country and across the globe. Responsibilities • Engage in inspection, condition assessment, reporting, review, analysis, design, oversight and construction support of movable bridge and heavy movable structure applications, • Assisting team project engineers and lead design engineers, • Research design options and document findings for project managers, • Review drawings and recommend necessary changes Requirements • Bachelor of Science in Mechanical Engineering, • Coursework in Machine Design I and II, • Willingness to travel for short-term assignments, • Excellent communication skills, • Experience with Microstation and AutoCAD computer-aided design and drafting software (preferred), • Experience with Mathcad computational software (preferred) Salary range— $80,000-$95,000 annually. Salary commensurate with experience We are offering a professional work environment, competitive salary, benefits package, and 401(k). EOE M/F/ DISABILITY/VETS

Job Description Data Scientist NYC Private Equity - Investment Management Firm J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager. An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth! The Data Scientist will play a critical role in driving data-driven decision-making across the firm's investment strategies, portfolio management, and risk platform. The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management. Key Responsibilities: Working in a Hybrid work environment: • You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies., • You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates., • Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures., • Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues., • Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models, • ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production., • Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements., • Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results., • Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. The ideal candidate would have a background including: • Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics – specific experience with real assets a plus!, • Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models, • Strong programming skills in Python (or R or Julia) and SQL, • Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.), • Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex), • Working knowledge bringing models to production, • Experience with data modeling, data warehousing, and ELT processes, • Strong analytical, strategic thinking, and problem-solving skills., • Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders. Nice to Have: • Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus., • Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus Education: About the Client: The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged investment environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • 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. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients. The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.

Job DescriptionDescription: About Guideline.ai At Guideline.ai, we’re defining the future of advertising. By harnessing data transparency and advanced tools, we empower marketers to make smarter, faster, and more profitable decisions. We work with the world’s top brands, agencies, and media owners to transform media buying and selling into a more intelligent, efficient experience. If you’re ready to be part of a high-growth company at the cutting edge of data, AI, and media, we’d love to meet you. Data Scientist, Capital Markets The Capital Markets team within Guideline is focused on developing and delivering high value data products and insights that drive client engagement and revenue within the Capital Markets vertical. We are looking for a candidate with a strong command of data analytics and machine learning within the financial vertical and work collaboratively to build products that drive revenue growth. This is a hybrid role, working a few days a week from our office in the Toronto area. Key Responsibilities • Analyze structured and unstructured financial data to generate actionable insights for capital market clients., • Build and maintain predictive models and machine learning algorithms for market trends and KPI forecasts., • Create dashboards and visualizations to communicate insights clearly to both technical and non-technical stakeholders., • Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market., • Partner with product and customer teams to embed insights into solutions that align with customer objectives., • Ensure data integrity, quality, and governance in all analytical work. We offer competitive compensation based on experience, education, and skill level. Full-time employees also receive: • Health, dental, life, and disability insurance, • RRSP with company match, • Paid time off and parental leave, • Teledoc Health services, • Employee recognition and referral bonuses Diversity & Inclusion At Guideline.ai, we believe diverse teams build better products and stronger companies. We’re proud to be an equal opportunity employer and encourage applications from people of all backgrounds, experiences, and perspectives. Requirements: • Degree in computer science, data analytics or direct experience required, • 3-5 years of experience with building data insight products that are derivatives of data assets, • Proficient in Python coding, data analytics and machine learning, • Forecast modeling capability, • Strong written and oral communication, • Understanding of the financial markets and direct experience a plus, • Knowledge of the Ad/Media buying industry will be an asset

Job Description About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role This is remote, full-time A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. RESPONSIBILITIES: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 8+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, R, C++, and SQL., • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal. Powered by JazzHR UGiRW7qU9F

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking

Job DescriptionAbout CookUnity Food has lost its soul to modern convenience. And with 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 looking for an experienced ML-focused Data Scientist to design, build, and productionize personalization and recommendation systems that help every CookUnity customer discover meals they'll love. You'll develop user modeling and ranking algorithms, ensure they integrate seamlessly into production, and lead experimentation strategies to measure their real-world impact. This is a hands-on, high-impact role for someone who can blend strong machine learning expertise with strategic thinking, rigorous experimentation, and close collaboration with Product, Engineering, and Business stakeholders.What You'll Do As a Staff level Machine Learning–savvy Data Scientist at CookUnity, you'll: • Architect and deliver production-grade recommendation and personalization systems, from user modeling to ranking algorithms and embeddings., • Quantify and optimize business impact through A/B testing, experimentation design, causal inference, and lift analyses., • Translate product and business needs into effective, data-driven solutions that scale., • Collaborate with cross-functional teams to embed experimentation and feedback loops into our workflows., • Mentor and coach the data team on best practices in ML model validation, experimentation, and scalability.You Might Be a Great Fit If You Have:, • 6+ years in data science, machine learning, or applied statistics., • Deep experience building recommendation engines, personalization pipelines, ranking/relevance models, search optimization, or embedding-based features., • Hands-on familiarity with A/B testing frameworks, and skills in experimentation design, causal inference, and measuring incremental impact., • Strong programming chops in Python and SQL (with bonuses for experience in Snowflake, PyTorch, Airflow, MLFlow, ECS), • A proven ability to work across disciplines and guide stakeholders—while also owning the technical end-to-end performance of your models. 🌅 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$190,000—$200,000 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.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is seeking a versatile Senior Data Scientist to join our User Growth team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you, as a Data Scientist at Hinge, will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other. Responsibilities • Collaborate with a cross-functional team of Product Managers, Researchers, Designers and Engineers to develop and iterate on product features and strategy, • Translate product objectives to data science problems and vice versa, • Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy, • Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems, • Collaborate with AI team to develop, iterate, and test production models (e.g., targeting) What We're Looking For, • 5+ years of experience as a Data Scientist, • Strong knowledge of statistics and machine learning, • Experience with A/B testing, • Strong working knowledge of SQL and Python (R is acceptable, but we use Python at Hinge), • Exposure to engineering best practices in a work environment, • Superb communication skills, • Ability to balance rigor with practicality, • Deep sense of intellectual curiosity #Hinge

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 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 global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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 Description Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: * Built In's 2025 Best Places to Work For In New York City * Built In’s 2024 & 2025 Best Startups to Work For In the U.S. * Built In’s 2023 - 2025 Best Startups to Work For In New York City * Fast Company’s Most Innovative Companies of 2022 * Business Insider’s Most Promising Consumer Startups 2022 * Forbes Fintech 50 2022 Role Overview: As a Data Scientist on our team you’ll be responsible for building/improving/maintaining the most important models which focus on this: * Identifying credit risk for our customers so that we can help more people in need when they need it * Optimizing our marketing spend by predicting LTV for our customers * Helping us reduce our overall churn by predicting customer churn and improving retention We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams. What you’ll be doing: * Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks. * You’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way. * Build, test and roll out other customer related models (such as Churn propensity and LTV prediction) which help us analyze and optimize our marketing and retention efforts. * Monitor the performance of the models in production and take appropriate actions when necessary * Analyze how our customer base is shifting as we grow and pinpoint areas we can improve. * Help our existing engineering and business teams track their goals, supporting the BI function from time to time to time with ad-hoc data analytics What you have: * Advanced degree in data science, statistics, computer science, or related field. * 5+ years of experience doing data science (modeling + analysis) * Proficiency in Python and in-depth understanding of SQL * Competent in machine learning principles and techniques * Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. * Experience in writing complex SQL queries and the ability to put together multiple data sources together * Ability to get the train data, train the model, do hyper parameter tuning, perform validation, run the A/B test, do performance monitoring and model monitoring * Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models. * Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams) * ML model deployment in production experience is a plus * Technical presentation skills is a plus * Experience working in B2C, marketplace, lending, or subscription oriented business is a plus The anticipated annual base salary for this position is $170,000 - $210,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team * Medical, dental, and vision insurance * Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support * Monthly reimbursements to use against wifi and cell phone bills * Annual reimbursement for Learning & Development * Help hard working Americans build a brighter financial future * High-growth company * A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email . Disclosures: * For information on our data privacy policies, see the Brigit California Personnel Privacy Policy. * Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you’ll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You’ll uncover user behavior patterns, operational performance insights, and commercial opportunities — all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Product & Customer Analytics, • You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights., • You’ll identify friction points and areas of opportunity across key user journeys., • You’ll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes., • Reporting & Visualization, • You’ll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams., • You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making., • Data Infrastructure & Collaboration, • You’ll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection., • You’ll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.What We’re Looking For, • You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment., • You hold at least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field., • You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures., • You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization., • You’re familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms., • You’re familiar with using Excel or Google Sheets for ad hoc analysis and data exploration., • You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts., • You know how to break down complex business problems into structured analyses., • You are skilled at identifying trends, patterns, and outliers in data to uncover key insights., • You can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike., • Nice to have: You’ve worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers.What you'll get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture

Job DescriptionAbout the Role We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries. What We're Looking For We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills. What You'll Do • Design and implement statistical models and machine learning algorithms to detect fraudulent patterns., • Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications., • Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals., • Collaborate closely with engineering and product teams to bring data science solutions into production., • 1 - 5 years of experience working on data science projects in fraud/risk modeling, cybersecurity, or machine learning., • Salary: $120k - $160k, • Equity: 0.25% - 0.5%, • Visa sponsorship is not available for this role. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionCompany Description About A Place for Mom: A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion. Our employees live the company values every day: • Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy., • Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow., • Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team., • Win The Right Way: We see organizational integrity as the foundation for how we operate., • Embrace Change: We innovate and constantly evolve.Job Description As a Sr. Data Scientist, you will leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. You will work closely with cross-functional teams to influence business strategy and drive growth. You will lead efforts in developing models, analyzing large datasets, and communicating findings to stakeholders. Who you are: The ideal candidate is passionate about transforming data into knowledge, leveraging data science skills for solving complex business problems to drive business action. You are comfortable, confident and energized operating in a rapidly changing environment, work well cross-functionally and communicate clearly. And, you are passionate about the families and communities we serve. Key Responsibilities Data Science/Machine Learning Model Management and Development • Develop, enhance, and test new machine learning models to support business growth initiatives., • Design, prototype, and productionize LLM-powered solutions (e.g., retrieval-augmented generation, summarization, information extraction and classification) aligned to business use cases., • Conduct deep dive analysis and identify variance drivers., • Evaluate model performance and monitor for drift., • Create dashboards and visualizations to communicate insights., • Provide clear and actionable reporting for stakeholders., • Handle ad-hoc analytics requests to support business decisions., • Perform exploratory data analysis to uncover trends and patterns., • Work closely with product, engineering, and business stakeholders to understand requirements, provide data-driven recommendations, and influence strategy., • Collaborate with cross-functional teams to advance data and analytics capabilities., • Identify opportunities to enhance data modeling and testing platforms., • Communicate the value of data analytics to non-technical teams and guide them in applying insights.Qualifications, • Educational Background: Degree in Computer Science, Data Science, Statistics, or a related quantitative field., • Experience: 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling., • Technical Skills:, • Strong proficiency in Python, PySpark for machine learning, data exploration, and analysis., • Strong SQL skills with expertise in handling complex SQL scripts., • Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch., • Experience with fine-tuning, prompt engineering, and deploying LLMs in production environments., • Data Handling: Experience working with large, semi-structured datasets., • Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models., • Communication: Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner., • Statistical Proficiency: Proficiency in A/B testing and strong knowledge of Bayesian and frequentist statistics, including concepts such as correlation, regression, and hypothesis testing., • Knowledge of visualization tools such as Tableau/PowerBI., • Experience working with data lakes and Databricks platform., • Familiarity with version control systems like Git. #LI-KT1 #LI-REMOTE Compensation • Base Salary Range - $115,000 - $125,000, • Bonus - 10% of annual earnings, • Benefits:, • 401(k) plus match, • Dental insurance, • Health insurance, • Vision Insurance, • Paid Time Off Additional Information A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process, such as your social security number; send you any unsolicited job offers or employment contracts; require any fees, payments, or access to financial accounts; and/or extend an offer without conducting an interview. If you suspect you are being scammed or have been scammed online, you may report the crime to the Federal Bureau of Investigation and obtain more information regarding online scams at the Federal Trade Commission. All your information will be kept confidential according to EEO guidelines. A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit .

Job Description PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. Job Summary We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment. This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key. Key Responsibilities • Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results., • Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration., • Build and optimize workflows using frameworks such as LangChain, • Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts., • Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy., • Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback., • Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production., • Collaborate with cross-functional teams to integrate generative outputs into client-facing applications. Requirements • Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 3+ years of experience developing and deploying machine learning pipelines in production., • 1+ years of experience building Generative AI or LLM-based applications., • Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs)., • Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics., • Experience designing and implementing RAG architectures., • Hands-on experience with Databricks, MLflow, or similar platforms., • Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits.Preferred Qualifications, • Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains., • Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI., • Familiarity with fine-tuning or custom instruction tuning of LLMs. Benefits and Compensation • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our data scientists, data engineers, and product managers to improve the logic and systems we use to provide all of the data that powers our recommendations. We are hiring for roles on our Rankings and Directory teams. Rankings is responsible for cost and weighting systems, while our directory team is responsible for developing and maintaining an industry-leading understanding of physician and healthcare facilities across the U.S. 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 and maintain data-driven algorithms, including both the latest AI and machine learning models as well as more commonsensical approaches, to improve provider recommendations and the member search experience, • Enhance Garner's understanding of the provider landscape by evaluating and integrating data from multiple sources, • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, and operations teams to translate business needs into data-driven solutionsWhat you will bring to the team:, • 1-3 years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Experience with Python and SQL, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Job Description Position Vision: Our attorney holds an unshakable focus on protecting clients' rights and best interests, as well as those of their children, and provides invaluable advice to help clients make informed decisions regarding divorce, child custody, and all other family law issues. Our clients become our friends and raving fans and will forever remember the instrumental help we provided to them during the most challenging time of their lives. To be successful in the position, you need to: ● Be an expert communicator ● Have knowledge of the law ● Have strong verbal & writing ability ● Have the ability to use good judgment ● Have excellent time management What We Are Looking For: We are seeking attorneys with three (3) to twenty-five (25) years of experience in the divorce and family law field. The ideal applicant will have a reputation for compassion and intelligence, coupled with the ability to adopt an assertive approach when necessary to help clients achieve favorable outcomes. Highly versed in negotiations who would rather help clients resolve their conflicts and reach agreements; however, will not hesitate to take clients' matters to court when necessary to fight for their rights. Top Responsibilities: ● Legal representation: Staying up to date with legal knowledge and proactively obtaining the knowledge necessary to obtain the best possible outcomes for all clients. ● Quality communication and support : Ensuring clients are supported throughout the legal process with constant communications and providing support and guidance regarding their legal matters. Ensuring clients are served with the highest quality in a timely manner, quick response times to client inquiries, setting expectations, prioritizing tasks, and addressing client concerns actively and proactively. ● Conduct consults: Meet with potential client and determine how we can help them in the most difficult time in their life. Compensation And Benefits: ● Salary: $120,000 to $190,000 + bonus, depending on years of experience and qualifications ● Highly competitive bonus structure that rewards outstanding performance ● Health, Dental & Vision ● 401 K with matching ● Flexible Spending Account ● Flexible Health Account ● Option for life and disability insurance Location And Hours: ● Remote or in-person based on your preference ● Main office in Hackensack, NJ About The Moskowitz Law Group, LLC: At MLG, we are a team that works together and cares for one another and our clients' well-being. Our team members are not here for a job, but here for a career they can grow with, where they enjoy coming to work each day. We, as A-players, work hard in this high-pace environment and we truly care for the success of our business and our clients. We are committed to working as a unified team by communicating clearly and proactively in all we do. Our doors are always open, and we constantly give our feedback for improvement in all areas of the business. When you are a part of this team you are part of a close group of professionals who are valued, cared for, and are compensated well for your dedication and results. We strive to make our workplace an exciting, dynamic environment where passion, commitment, and teamwork are the norm. Where clients can trust that they will receive the highest level of care and attention, and where team members can thrive and grow as professionals. So come join us and be a part of our amazing team! Why You Should Join Us: 1. At MLG, we have a well-oiled machine with superior technology, automation, and a full in-house team to ensure things are completed smoothly and stress-free, so you can maximize your earning potential and are well supported in reaching your professional goals., 2. Our in-house billing and collections team ensures your invoices are prompt, accounts receivable stay low, and your clients' billing concerns are addressed promptly., 3. We support you with a well-trained legal assistant & paralegal with a ratio of two attorneys for each legal assistant/paralegal so your needs stay top priority to maximize your billing time and ensure you can leave work each day knowing everything is running well in your department., 4. We have a dedicated intake team that stays on top of your referrals and potential new clients so that you can focus on doing your best work knowing that your referrals will be followed up promptly to ensure your potential clients are receiving the best service possible to become a life-long client down the road., 5. Attorneys have a great deal of autonomy and independence without micromanagement., 6. Our attorneys have the option of working remotely or in our lucrative modernized office located across the courthouse in Hackensack's most prestigious glass building., 7. We appreciate and value our attorney’s input and suggestions and help remove obstacles in their work., 8. You have access to partners and senior staff to ask legal questions and grow in your personal and professional development., 9. We are part of a prestigious family law firm centered around client success that is well respected by local courts and judges., 10. Our attorneys are knowledgeable, strong, and compassionate, providing exemplary service and ensuring future referrals from friends and family, 11. Our attorneys value how much we care for our clients. We do everything we can to help them through the most challenging time of their lives and positively impact our community through our work., 12. We provide generous bonus structures to reward our attorneys, who are driven to go above and beyond the minimum billable requirements so that you have the power to decide the work-life balance that meets your needs., 13. We prioritize and ensure our attorneys are well supported with sufficient caseloads to support our clients appropriately., 14. When you join us as an associate, you know you have a clear path to grow professionally and in becoming a partner of the firm.

Job Description We are Qodea, a global high-growth Google Cloud consultancy. By joining us, you’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We’re driven by ideas and powered by our people. We are in a phase of dynamic expansion. By joining forces with tmc3, TIQQE and Beyond this year, we’ve grown to a team of 500 engineers. You’ll be collaborating with colleagues across seven countries, including the Netherlands, Philippines, Portugal, Romania, Sweden, UK and USA, to shape the future of our company. Join Our Talent Network We're always looking to connect with people who share our passion for Machine Learning, Data Engineering, Data Science and Platform Engineering, and are committed to building a diverse and skilled team. If you have experience in these fields, especially with Google Cloud (GCP), we want to hear from you. If you don’t see an open role that's a perfect match for you right now, this is the best way to get on our radar. Submit your CV through this advert and let us know which of our key areas you’re most interested in. This helps us reach out to you directly as soon as the right opportunity becomes available. Benefits Our comprehensive benefits package is designed to support your wellbeing and career growth. While some benefits vary by region, all employees enjoy: • Private medical insurance from day one, • Discretionary company bonus scheme, • Flexible annual leave, plus an extra day off for your birthday, • Ten paid learning days per year, • Flexible working hours, • Work from anywhere for up to three weeks per year, • Industry-recognised training and certifications, • Bonusly employee recognition and rewards platform, • Clear opportunities for career development, • Length of Service Awards At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at or connect with us on LinkedIn via our Qodea Company Page.

Job DescriptionBrooklyn Investment Group is an SEC-registered Investment Adviser that leverages the technology of its parent company, Brooklyn Artificial Intelligence Research. This technology is combined with institutional-grade portfolio optimization and automated tax-loss harvesting to power personalized portfolios for our clients, including financial advisory firms and asset managers. Over the past five years, Brooklyn Artificial Intelligence Research has developed one of the most powerful engines for customizing investment portfolios and more than $5 billion has been traded on its portfolios to date. Our growing team of 20+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs, Citadel and Bridgewater Associates. Opportunity If you’re interested in the growing intersection of finance and technology, this opportunity offers a unique value proposition. At Brooklyn, we are firm believers in the transformative potential of technology to revolutionize portfolio management and trade execution. We are dedicated to architecting one of the most cutting-edge portfolio management platforms in the industry. As a Portfolio Management Engineer, you will play a crucial role as the primary liaison for our clients, operational partners, and custodians. Your core responsibilities will involve developing tech-forward tools to optimize portfolio management, trade execution, and reconciliation processes. You'll collaborate closely with teams across quant, engineering, research, and trading to ensure seamless workflows and innovation.Responsibilities • Ongoing Portfolio Management: Act as a bridge between portfolio management and trading teams, serving as the primary point of contact for operational partners and custodians, lending to smooth coordination and execution of trades., • Platform Enhancements: Take part in the implementation of enhancements to the portfolio management platform, utilizing stakeholder feedback and industry benchmarks to enhance functionality, reliability, and scalability, all while maintaining a top-notch user experience., • Collaborative Coordination: Coordinate closely with portfolio construction teams to ensure alignment between client objectives and investment strategies, facilitating a seamless experience for clients throughout the investment lifecycle., • Client Service: Serve as a primary point of contact for clients regarding portfolio management, trading, and reporting, offering timely updates and addressing any inquiries or concerns to maintain a high level of client satisfaction.Skills & Experience Core, • Professional Experience: Two or more years of professional work experience in equities portfolio management or investment operations., • Education Background: Bachelor's or Master’s degree from a leading institution in a quantitative discipline, such as mathematics, natural sciences, engineering, computer science, or economics., • Proficiency in Python: Demonstrate an advanced level of skill in Python programming. Follow industry best practices in software development, ensuring code is clean, modular, and efficient., • Professional Attributes: Desire to work in a fast-paced environment with meticulous attention to detail, striving to stay at the forefront of innovation in investment management.

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleWe’re hiring a Principal Product Manager to lead enterprise engagement at Valence. You’ll act as the GM for our enterprise product surface, owning context, customizations, and features required by the world’s largest organizations. This is not a consumer-facing role — your mandate is to ensure adoption, retention, and expansion at organizational scale. This role demands someone who can operate at the intersection of product vision, customer empathy, and enterprise execution. You’ll take holistic ownership of enterprise metrics, driving the success of our Fortune 500 deployments while shaping how AI coaching scales across the most complex organizations in the world. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Act as GM for enterprise engagement, setting the vision for enterprise adoption and retention at organizational scale., • Lead strategic product direction and roadmap development in close partnership with product and technical leadership., • Own success metrics end-to-end, including activation, engagement, and long-term retention across large enterprise deployments., • Personally define, prioritize, and validate hypotheses via fast, data-driven experiments; craft programs to test, learn, and iterate quickly., • Spend substantial time in discovery - from enterprise buyer journeys and process reviews to user interviews and segmentation - ensuring both enterprise empathy and user insight shape product direction., • Translate the complexity of Fortune 1000 customer needs into scalable platform features, balancing customization with product cohesion., • Collaborate across engineering, design, and customer-facing teams to ensure enterprise processes, change management, and product execution align for successful deployments and expansion., • Own and execute creative product marketing experiments, including messaging and AI-assisted approaches, to drive enterprise adoption., • Lead product teardowns and retrospectives to surface lessons, articulate trade-offs, and uphold a high bar for product judgment and craft.What We're Looking For, • 8+ years of relevant product management or equivalent operator/technical experience., • AI Fluency: Proven AI-native orientation with clear personal/professional use of AI tools, workflow automation, or productized AI practices., • Enterprise Impact: Direct experience building products for Fortune 1000 organizations, with ownership of adoption, retention, or scale across complex enterprise environments., • High Velocity Execution: Demonstrated ability to thrive in early-stage product environments, shipping with minimal process and citing high-impact outcomes., • Analytical Rigor: Strong analytical skills including A/B testing, build-measure-learn loops, and using data to define and measure enterprise success metrics., • Product Craft: Drive product excellence by presenting live walkthroughs of shipped products, unpacking decisions that achieved measurable adoption and real-world results., • User & Enterprise Empathy: Deep, intuitive empathy for both individual users and enterprise stakeholders — able to understand motivations and pain points across the org chart, from end-users to executives, to inform high-impact product bets., • Organizational Savvy: Comfort navigating enterprise processes, reviews, and change management, ensuring product delivery drives both user value and enterprise-scale outcomes.What You'll Get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you'll be be the founding GM-type product leader wholly accountable for end-to-end retention, user engagement, and activation for a critical product area. You'll own and define the full journey for enterprise end-users, from onboarding through ongoing engagement. This is not a feature shipper role - you’re building retention frameworks, defining and measuring user success, and pioneering hands-on, rapid experimentation at the intersection of AI and user experience. Expect to drive hypotheses, rapidly iterate in zero-to-one fashion, and immerse yourself with actual users to discover needs and fuel the next wave of enterprise value. In other words, you’ll ship to discover value, not only to deliver roadmap features. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Lead strategic product direction and roadmap development in close partnership with our technical and product leadership., • Set the vision for and own the retention funnel and success metrics, including activation and deep engagement triggers., • Personally define, prioritize, and validate hypotheses via fast, data-driven experiments; craft programs to test, learn, and iterate quickly., • Spend substantial time in direct user discovery, segmentation, and feedback loops, running interviews and user groups to glean rapid insights., • Collaborate deeply with engineering and design to ensure cohesion between product vision and hands-on execution—operating as both strategist and builder., • Own and execute hands-on product marketing, new messaging and creative experiments, plus novel AI-assisted approaches to drive user adoption., • Lead product teardowns and retrospectives to surface lessons, articulate design trade-offs, and uphold a high bar for product judgement and craft.What We're Looking For, • 8+ years of relevant product management or equivalent operator/technical experience., • AI Fluency: Proven AI-native orientation with clear personal/professional use of AI tools, workflow automation, or productized AI practices., • Enterprise Impact: Direct ownership of shipping end-user-facing products at enterprise scales and not just internal tools., • High Velocity Execution: Demonstrated ability to thrive in early stage product environments, shipping with minimal process and citing high-impact outcomes., • Analytical Rigor: Strong analytical skills including A/B testing, build-measure-learn loops, and using data to drive product direction., • Product Craft: Drive product excellence by presenting live walkthroughs of shipped products, unpacking decisions that achieved measurable user impact and real-world results., • User & Enterprise Empathy: Deep, intuitive empathy for both individual users and enterprise end-users - able to understand needs, motivations, and pain points at every level to inform high-impact product bets.What You'll Get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleThis role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready., • Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals., • Work with the product team to analyze user behavior and prioritize evolving requirements., • Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience, • Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements., • Documentation of models, prompts, and processes to increase replicability and drive quality improvements., • Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI, • Support other coding and feature development where requiredWhat We're Looking For, • Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience, • 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field), • Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval, • Strong foundation in data structures, algorithms, and software engineering principles., • Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM), • Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad), • Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services., • Strong analytical and problem-solving skills, • Experience structuring and running data-backed experiments, • Strong written and verbal communication skills, • Exposure to early-stage startups, preferably B2B SaaSWhat You'll Get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture #LI-HYBRID We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a highly skilled Technical Lead to drive the development and integration of a Customer Data Platform (CDP) leveraging the AWS ecosystem. The ideal candidate will have extensive experience in AWS and integrating solutions across multiple marketing interfaces. This is a high-impact role that involves technical discussions with the client, with no formal interview process. Responsibilities • Lead the technical design, development, and deployment of the CDP solution using AWS services., • Integrate the CDP with multiple marketing platforms and interfaces., • Collaborate with client stakeholders to understand requirements and provide technical guidance., • Ensure best practices in cloud architecture, scalability, and security., • 10-15 years of work experience with greater than 10 years in the technology consulting space, focusing on data and analytics, • Strong hands-on experience with AWS services (e.g., EC2, S3, Lambda, Redshift, Glue, etc.), • Proven experience in integrating cloud solutions with multiple external platforms., • Solid understanding of CDP architecture and marketing technology stacks., • Excellent communication and stakeholder management skills. 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 Description Senior Marketing Analytics Manager 1654-1 • Hourly pay: $80-$100/hr, • Worksite: Leading music streaming company (New York City, NYC 10020 or Washington, DC 20002 - Open to Remote Candidates located in the United States, Must work Eastern office hours), • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL Senior Marketing Analytics Manager Responsibilities: • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.), • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy., • Use enhanced python based graphical visualizations to deliver key insights to leadership., • Research and implement novel modeling techniques to solve complex business problems., • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results., • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions., • 7+ years of experience in the related field., • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or a related quantitative field., • Strong prior experience in data science, business & statistical analytics., • Strong background in SQL & Python, R is a plus., • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN., • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau., • Familiarity with the Databricks platform is a plus., • Willingness to take initiative and to follow through on projects., • Excellent time management skills with the ability to prioritize and multitask, and work under shifting deadlines in a fast-paced environment.

Job Description About Jerry.ai Jerry.ai is building America’s first and only AI-powered super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million users, and have helped millions find better auto insurance — and we’re just getting started. About the Opportunity We are looking for a Senior Product Manager to own Jerry.ai’s AI driven communications product. AI and automation are a key component of Jerry.ai’s growth strategy, driving the engagement, conversion, and retention of our customer base. Today, over 70% of customer requests are handled using AI agents built using our internal AI agent development platform, Propelix. Our goal is to increase this number to over 90%, while increasing customer satisfaction and conversion with AI interactions that delight our customers. The messaging infrastructure underlying these communications across SMS, in-app chat, email, and voice, is critical to the success of the platform, and we need your help to scale it up. How you’ll make an impact: * Partner closely with our Product, Engineering, and Data Science teams to create lovable AI interactions that increase automation and customer satisfaction. * Analyze data to identify and prioritize improvements to our core messaging systems. * Identify bottlenecks to solving high-impact issues to shape both our prompt engineering best practices and our technical roadmap. * Stay on top of AI trends, best practices, and tech to make strategic decisions. Who You Are * You have 5+ years of experience in management consulting, technical product management, data analytics, or operations at a fast paced startup. * You’re a technologist and a systems thinker. You’re comfortable in technical conversations and can translate complex ideas into simple terms. * You’re data-driven and comfortable diving into data to answer your own questions. * You like to own metrics, and constantly seek improvement. You’re an optimist who asks “how we can” not “if we can.” * You’re passionate about AI. You use it to automate your day to day, you’re an early adopter of the latest and greatest, and you want to be at the vanguard of leveraging it at scale to deliver outstanding, personalized customer communications. Why You’ll Love It * Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, Nerdwallet, McKinsey, BCG, Bain, Andreessen Horowitz * Disrupt a massive market and take us to a $10B business in the next few years * Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article * Be immersed in a talent-dense environment and greatly accelerate your career growth * Impact millions of users experience with car maintenance and auto insurance While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $150K - $185K

Job Description Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making. Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most. KEY RESPONSIBILITIES · Interpret data, analyze results using statistical techniques and provide ongoing reports · Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality · Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team · Identify, analyze, and interpret trends or patterns in complex data sets · Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems · Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights. · Proactively perform data exploration on user behavior to discover future testing opportunities. · Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems. · Create and manage business/operational dashboards to monitor business line performance. QUALIFICATIONS · Proven working experience as a data analyst or business data analyst · Technical expertise regarding data models, database design development, data mining and segmentation techniques · Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) · Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) · BS in Mathematics, Economics, Computer Science, Information Management or Statistics · Bachelor’s degree in a quantitative field · You have extensive experience using SQL and Tableau, Looker or similar is a Plus. · You understand experimentation, hypothesis testing, and causal inference · Experience in Deep Learning and Machine Learning algorithms is a plus It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description About Jerry.ai Jerry.ai is building America’s first and only AI-powered super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million users, and have helped millions find better auto insurance — and we’re just getting started. About the Opportunity We are looking for a Technical Product Manager to own Jerry.ai’s AI driven communications product. AI and automation are a key component of Jerry.ai’s growth strategy, driving the engagement, conversion, and retention of our customer base. Today, over 70% of customer requests are handled using AI agents built using our internal AI agent development platform, Propelix. Our goal is to increase this number to over 90%, while increasing customer satisfaction and conversion with AI interactions that delight our customers. The messaging infrastructure underlying these communications across SMS, in-app chat, email, and voice, is critical to the success of the platform, and we need your help to scale it up. How you’ll make an impact: * Partner closely with our Product, Engineering, and Data Science teams to create lovable AI interactions that increase automation and customer satisfaction. * Analyze data to identify and prioritize improvements to our core messaging systems. * Identify bottlenecks to solving high-impact issues to shape both our prompt engineering best practices and our technical roadmap. * Stay on top of AI trends, best practices, and tech to make strategic decisions. Who You Are * You have 2+ years of experience in management consulting, technical product management, data analytics, or operations at a fast paced startup. * You’re a technologist and a systems thinker. You’re comfortable in technical conversations and can translate complex ideas into simple terms. * You’re data-driven and comfortable diving into data to answer your own questions. * You like to own metrics, and constantly seek improvement. You’re an optimist who asks “how we can” not “if we can.” * You’re passionate about AI. You use it to automate your day to day, you’re an early adopter of the latest and greatest, and you want to be at the vanguard of leveraging it at scale to deliver outstanding, personalized customer communications. Why You’ll Love It * Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, Nerdwallet, McKinsey, BCG, Bain, Andreessen Horowitz * Disrupt a massive market and take us to a $10B business in the next few years * Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article * Be immersed in a talent-dense environment and greatly accelerate your career growth * Impact millions of users experience with car maintenance and auto insurance While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $90K - $150K

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We’re looking for an experienced applied data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, and insightful in your analytical approach. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. Responsibilities: • Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms., • Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors., • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities., • Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed Desired Skills & Expertise: • You have 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications., • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models., • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred., • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting., • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers., • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals., • You can quickly pivot and act with agility as dictated by the needs of the business., • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job DescriptionFounded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY. What You Will Do • Deliver end-to-end Generative / Agentic AI solutions blended with Data Science and Machine Learning models for enterprise customers, spanning the entire lifecycle from problem definition, data preparation, model development, deployment, and monitoring., • Build custom AI/ML agents and applications using the H2O AI stack, and help design verticalized use cases across industries (e.g., banking, finance, insurance, retail, healthcare, manufacturing)., • Support customers in their end-to-end GenAI journey, including LLM selection, evaluation, fine-tuning, prompt engineering, and building scalable GenAI/RAG pipelines tailored to their business needs., • Apply knowledge of predictive AI algorithms (regression, ensemble methods, time-series forecasting, classification, anomaly detection, etc.) along with Generative AI techniques to deliver hybrid solutions., • Conduct customer enablement programs, such as hands-on training sessions, workshops, hackathons, and boot camps, to help data scientists, business users, and executives effectively adopt AI., • Help customers leverage H2O Driverless AI, H2O Wave, H2O LLM Studio, and other tools for experiment tuning, interpretability, model governance, and monitoring., • Translate technical outputs into business impact narratives and guide non-technical stakeholders on the value and risks of AI adoption., • Collaborate with internal teams to advance H2O’s GenAI/ML technology stack, contribute to reusable assets, best practices, and industry accelerators.What We Are Looking For, • 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers., • Strong expertise in LLMs and GenAI: fine-tuning, evaluation, RAG design, LLMOps, guardrails, and building domain-specific/custom LLM solutions., • Experience with predictive AI algorithms (GLMs, Random Forest, Gradient Boosting, Neural Networks, NLP, time-series forecasting, anomaly detection, etc.)., • Proven ability to design and deliver training, workshops, and customer enablement programs for technical and business stakeholders., • Hands-on experience with H2O products (Driverless AI, H2O-3, H2O Wave, LLM Studio) or similar AI/ML platforms., • Proficiency in Python (preferred) and standard data science/ML libraries and frameworks., • Familiarity with MLOps and production monitoring tools such as H2O MLOps, MLflow, or equivalents., • Excellent customer-facing and communication skills: ability to engage with business stakeholders, executives, data scientists, and engineers, and clearly articulate technical concepts in business language., • Strong problem-solving skills and the ability to work independently in dynamic, customer-driven environments.How To Stand Out from the Crowd, • Prior experience in building AI/ML agents and GenAI applications for industry-specific use cases., • Demonstrated thought leadership in AI—published blogs, talks, or open-source contributions., • Experience running AI hackathons, bootcamps, or innovation workshops with enterprise customers., • Familiarity with enterprise-grade AI solutioning (security, governance, scalability, compliance).Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $160,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR fxUNqxPx8q

Job DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleThis role will lead enterprise customizations for Nadia—our AI coach—adapting and deploying tailored solutions for complex customer environments. You’ll design, implement, and evaluate high-impact workflows (prompts, memory/knowledge patterns, coaching flows), balance bespoke vs. reusable architectures, and build the tooling and evaluation muscle that helps us scale enterprise AI deployments. You’ll collaborate cross-functionally with Product, AI Research/Applied AI, and Engineering, ensuring our most advanced enterprise AI systems are safe, performant, and aligned with user outcomes. This is a hybrid role combining product sense, technical grounding, and delivery instinct—ideal for someone who loves to build, ship, and iterate. You’ll thrive if you can translate between client needs and AI system design, and operate comfortably in ambiguity while pushing toward real-world results. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, ServiceNow, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Own end-to-end customizations: Lead discovery → design → implementation → evaluation → iteration cycles for enterprise-grade workflows., • Architect for reuse: Identify repeatable patterns, modularize components, and define when to productize; communicate tradeoffs across speed, quality, and maintainability., • Drive quality and evaluation: Define prompting standards, guardrails, and success metrics (accuracy, tone, safety, outcome quality). Build lightweight evaluation frameworks that scale across clients., • Make hard tradeoffs: Balance speed vs. scalability; protect the platform from over-engineering while ensuring customers see real value quickly., • Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact., • Mentor and level up others: Guide associates or EMs learning prompting and integration skills; contribute to playbooks, templates, and internal training., • Measure outcomes: Track deployment speed, adoption, satisfaction, and quality; identify opportunities for reusability and efficiency gains.What We’re Looking For, • 5+ years in solutions engineering, forward-deployed engineering, or consulting engineering, ideally with enterprise-facing experience. Open to less years for exceptional builders who ship and learn fast., • LLM/AI experience: prompt design, evaluation, and deployment of LLM-powered systems. Understanding of memory/knowledge retrieval and safety/guardrails., • Systems & judgment: track record of deciding what should be bespoke vs. reusable, designing for modularity without over-engineering., • Enterprise craft: stakeholder management, discovery, and communication. You know when to push back and when to ship., • Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact., • Quality mindset: you hold the line on accuracy, safety, and performance while maintaining pragmatism., • Growth mindset: Growth mindset focused on continuous skill development in rapidly evolving AI landscape, • Startup DNA: Startup experience preferred with proven comfort navigating ambiguity and high-velocity execution.What you'll get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture #LI-HYBRID We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. To transform the way millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. To ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive workplace. As a Senior Software Engineer, you will also serve as an advocate and mentor for your team members, demonstrating leadership qualities and setting an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NYAbout the team: Our Audience Intelligence crew is a band of data-obsessed engineers, ML specialists, and product thinkers who refuse to settle for fragmented customer signals. We're architecting the unified identity graph and feature platform that gives every team at StubHub a near-real time, 360°ree; view of each fan. That way decisions are powered by facts, not hunches. In short, we turn noisy clickstreams into high-fidelity fuel for personalization at scale. The challenge we're cracking: today, user data is scattered across devices, sessions, and tables. We're building the pipelines, identity resolution, and enrichment layers that stitch it all together, update it in near-real time, and expose it as clean, versioned features any model or campaign can trust. When we're done, marketing tech, ranking, and experimentation teams will target with surgical precision instead of a one size fits all experience. Because a message for everyone is a message for no one. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5-6+ years of professional experience in software development, • Extensive experience developing robust, mission-critical systems using multiple general-purpose programming languages (e.g., Java, C#), • Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy, • Previous experience designing and developing solutions to complex problems with significant business impact, • A strong understanding of how their systems interact with the broader production environment, including dependencies and platform primitives, • Proven ability to learn other coding languages, platforms, frameworks, and tools, • Experience owning projects from the initial idea all the way to production, • Experience mentoring junior engineersWhat We Offer:, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. StubHub is committed to providing a secure and seamless experiences for our customers. As a Senior Software Engineer on the Customer Identity Engineering team, you will work on improving and maintaining the core systems that authenticate and authorize users across our platforms. You will also collaborate with data scientists and other engineering teams to build and implement advanced detections to identifyty and prevent Auth-N / Auth-Z abuse. You'll have the opportunity to work with cutting-edge security protocols, contribute to improving the reliability and performance of our identity services, and help ensure that our customers' accounts remain secure. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA About the team:StubHub's Customer Identity Engineering team plays a critical role in ensuring the safety of our users by maintaining and enhancing our authentication and authorization services through the use of security best-practices and first-class software engineering What You'll Do: • Design, build, and maintain scalable authentication and authorization services., • Implement security features to protect against common vulnerabilities (e.g. OWASP top 10), • Collaborate with data science teams to integrate machine learning models aimed at identifying and preventing suspicious login activity., • Monitor and improve the performance of identity-related services., • Investigate and troubleshoot issues related to account security, user identity, and authentication failures., • Drive improvements in security protocols, performance optimization, and user experience., • 5+ years of experience in software engineering, ideally with a focus on authentication, authorization, and identity services., • Proficiency in backend development using languages such as Java, C#, or Python., • Experience working with security protocols such as OAuth, SAML, OpenID Connect, and WebAuthN., • Familiarity with building and maintaining scalable, distributed systems., • Experience working with databases, both relational (e.g., MSSQL, MySQL, PostgreSQL) and NoSQL (e.g., DynamoDB, Cassandra)., • Understanding foundational concepts of machine learning (Supervised / Unsupervised) and the ability to collaborate with data scientists on implementations., • Working Knowledge of cloud platforms (AWS, GCP, Azure), hands-on experience building and owning a cloud optimized service., • Expert experience with containerization and hosting technologies (e.g., Docker, Kubernetes)., • Familiarity with monitoring and alerting tools such as Prometheus / Grafana., • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Valcor Engineering is one of the largest and most recognized suppliers of fluid control products in the aircraft, aerospace and military fields. We specialize in the design and manufacture of Solenoid Valves and control components for liquids and gases in critical application in the aerospace, nuclear, light industrial and scientific industries. The CNC Programmer duties and responsibilities include but are not limited to the following: • Work directly with Manufacturing Manager, Machine Operators, Manufacturing Engineering, Design Engineering, and Production Control to produce good programs, keep machines running, and meet production needs., • Programming in Mastercam, • Processes and controls include, 2-3 axis mill/turning, Okuma/Hass/Mazak/FANUC., • CAD in Solidworks, • Read, analyze, and interpret blueprint drawings/specifications., • Tool and fixture selection, I.E End Mills, drills, inserts, custom fixtures, etc., • Organize and maintain programs, setup sheets, and revisions to both., • With machine operator or independently, conduct first run prove outs., • High School or equivalent. Tech school and / or college is a plus., • Minimum 5 years of machining experience preferred., • Minimum 2 years of programming experience preferred., • Be able to work closely with Manufacturing Manager to maintain shop machining schedules and meet production needs., • Be able to take part in employee relations at the shop level including adherence to labor contract provisions. Salary Range:$85,000.00 To $120,000.00 Annually We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability Please note: The salary range is based on our market pay structure. However, individual salaries are determined by a variety of factors including, but not limited to, business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At Valcor Engineering, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 30+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; long term disability coverage; and life and accident insurance. We also have an employee assistance program. Our leave programs include Vacation and PTO time off, paid holidays, as well as other types such as bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. All qualified applicants will be considered for employment without regard to these characteristics. Company DescriptionValcor Engineering is one of the largest and most recognized suppliers of fluid control products in the aircraft, aerospace and military fields. We specialize in the design and manufacture of Solenoid Valves and control components for liquids and gases in critical application in the aerospace, nuclear, light industrial and scientific industries.Valcor Engineering is one of the largest and most recognized suppliers of fluid control products in the aircraft, aerospace and military fields. We specialize in the design and manufacture of Solenoid Valves and control components for liquids and gases in critical application in the aerospace, nuclear, light industrial and scientific industries.