Phd engineering jobs in Jersey City, New JerseyCreate job alerts

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creat

ML/AI engineering experience, or a recent PhD with relevant research.

Title: Processing Engineering Manager (Small Molecules + API) Location: New York Industry: Pharmaceutical CDMO About the Role CSG are partnered with a rapidly growing global CDMO specialising in small-molecule development, API manufacturing, and pharmaceutical intermediates. The organisation operates multiple international facilities and supports leading pharma and biotech companies through the full development and commercial lifecycle. As the business continues to expand its technical capabilities, they are seeking an experienced Process Engineering Manager to lead process development, scale-up, and manufacturing support activities within their small-molecule and API operations. This role is well-suited for a hands-on technical leader who thrives in a dynamic environment and is passionate about driving process excellence, operational reliability, and continuous improvement. Position Summary The Process Engineering Manager will oversee a team responsible for developing, optimizing, and transferring chemical processes from laboratory or pilot scale into full commercial manufacturing. You will serve as the technical authority for process engineering activities, partnering closely with R&D, Manufacturing, Quality, EH&S, and Project Management to ensure robust, compliant, and efficient production of APIs and intermediates. This is a strategic, high-visibility role with direct influence on plant performance, operational safety, process robustness, and customer satisfaction. Qualifications: • Bachelor's degree in Chemical Engineering, • Master's degree or PhD in Chemical Engineering or related discipline, • Additional training in process safety, cGMP, Six Sigma, or project management is a plus, • 8-12+ years of experience in small-molecule/API process engineering or chemical manufacturing, • Demonstrated success in process development, scale-up, and tech transfer, • Experience in a GMP-regulated CDMO, pharmaceutical, or fine chemical environment

Overview: We are looking for a Bilingual STEM Expert (German and English) to review, evaluate, and refine AI-generated content involving scientific, mathematical, and technical reasoning across both languages. Your expertise in STEM fields and bilingual communication will be critical to ensuring technical accuracy, translation quality, and instructional clarity. * * * Job Details: Content Evaluation & Auditing: - Review AI-generated STEM content (science, technology, engineering, and mathematics) to ensure technical correctness, logical flow, and conceptual clarity. - Evaluate explanations, problem-solving steps, and final outputs for precision in both German and English. - Identify and document translation errors, scientific inaccuracies, or ambiguities in AI outputs. Multilingual Translation Validation: - Verify that German and English translations preserve the original content's technical meaning, scientific terminology, and intended logic. - Detect and resolve language-specific nuances that could impact learner comprehension. Annotation & Feedback: - Provide clear, structured feedback to improve the quality of AI-generated content and annotation. - Review and suggest refinements to guidelines for STEM topics, problems, and reasoning processes. * * * Ideal Qualifications: Generalist, STEM & Linguistic Proficiency: - Fluent in German and English, with proven experience working on content across both languages. - Solid background in science, engineering, mathematics, or a related technical field. - Experience in bilingual instruction, scientific writing, technical translation, or curriculum development is highly desirable. Analytical Thinking & Problem Solving: - Strong ability to break down complex scientific and technical topics clearly. - High attention to detail and logical consistency in STEM reasoning. - Communication & Feedback Skills: - Familiarity with reviewing or developing educational STEM content, especially for AI or digital learning platforms. * * * Minimum Qualifications: - Master’s degree or PhD in STEM fields (e.g., Engineering, Science, Mathematics, Technology, or related disciplines). - Fluency in both German and English (spoken and written). - 2+ years of experience in the STEM/Generalist field. - Prior experience with annotation, curriculum design, or AI content review is a plus. * * * ### Additional Details: - The role is remote and asynchronous, i.e., you can primarily work on your schedule. - This project will require approximately 15-20 work hours per week. - This position is structured with clear expectations. * * * Application and Onboarding Process: - After submitting your resume, you will have a 15-minute conversation with our AI interviewer to test your research and reasoning skills. - Within a few days, we will reach out for a follow-up call or decision on your application and move forward with project onboarding soon after. About : - Our team is based in San Francisco, CA - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply -- we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. * * * ### Role Details - Part-time contract Role(20 hour/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Principal Consultant – Oracle Cloud Consolidations (FCC) FCC Lead Consultant Or Principal Consultant As a Principal Consultant on the Consulting team, you will be a strategic leader responsible for guiding major initiatives for large clients. This role leverages your extensive experience in technology consulting, specifically within Oracle Cloud Financial Consolidations and Close (FCC), to drive client improvements, increase revenue, and enhance profitability. You will operate as both a functional and technical expert, leading complex projects, managing key client relationships, and indirectly mentoring team members. Key Responsibilities Project Leadership & Delivery • Lead Implementations: Lead mid- to large-sized, complex consulting projects simultaneously, driving end-to-end implementation cycles., • Design & Build: Lead the gathering of system and business requirements, and the design and build of Financial Consolidations and Close Cloud solutions., • Team Oversight: Lead and guide other technical team members in the delivery of EPM/BI solutions, ensuring the application of leading practice business process solutions., • Independent Expert: Fill the role as both a functional and technical expert, working independently with no supervision required. Client Strategy & Management • Primary Contact: Act as the primary point of contact for clients, effectively managing relationships and project communications with clients, team members, and stakeholders., • Strategic Consulting: Collaborate with clients to understand business objectives, conduct thorough assessments, and develop/implement long-term client strategies., • Technology Advisory: Provide expert advice on technology solutions (including vendor collaboration and contract negotiation) to enhance client operations and drive informed adoption of new technologies., • Post-Implementation Support: Offer ongoing technical support and continuously monitor implemented solutions to recommend updates, upgrades, or optimizations. Qualifications Education • Bachelor's degree in a relevant field (e.g., Business Administration, Economics, Finance, Engineering)., • Preferred: MBA, relevant Master's degree, or PhD. Experience • 7–10 years of professional consulting experience or related field experience., • Experience leading 10–12 different, full-lifecycle Oracle Consolidations (HFM or FCCS) projects., • Expert knowledge of the Oracle Cloud Financial Consolidations and Close (FCC) tool is required., • Proven experience leading functional and technical design sessions, with hands-on experience implementing Oracle FCC solutions., • Strong experience in script writing skills in Calculation Manager is required., • Experience with Data Management for loading data and metadata is required., • Experience leading a team of consultants and properly managing deliverables., • Previous experience working in IT companies or industry experience at a strategic level within a professional services firm is preferred., • Experience with Narrative Reporting, Accounts Reconciliation Cloud (ARC), and Tax Reporting Cloud (TRC) is a plus., • Must be teachable with a strong desire to learn and expand the current knowledge base. Required Skills & Competencies • Executive Presence: Ability to interact and communicate effectively with senior client executives., • Thought Leadership: Ability to provide industry expertise and strategic vision to projects and the firm., • Communication: Excellent verbal and written communication skills (English proficiency required) for interaction with all project stakeholders., • Complex Project Management: Exceptional project management skills necessary for leading multiple complex projects simultaneously., • Mentorship & Coaching: Strong ability to indirectly mentor and coach junior and mid-level consultants., • Client Acquisition: Strong business development skills to support acquiring new clients and expanding existing relationships. Preferred Certifications • Oracle Financial Consolidation and Close Cloud Service 2021 Certified Implementation Specialist, • Oracle Enterprise Performance Management Cloud Service Implementation Specialist, • Oracle Hyperion Financial Management Certified Implementation Specialist

Position Summary: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: • Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.)., • Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing., • Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency., • Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members., • Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research., • Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc., • Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently., • Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment., • Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources., • Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai., • Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date., • Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai., • Provide after-hours support as needed., • Perform other duties as assigned or requested. Requirements: • Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred., • 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment., • Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc., • Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare)., • In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system, • Experience with secure enclaves and confidential computing., • Proven ability to provide mentorship and technical leadership to team members., • Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance., • Excellent analytical ability and troubleshooting skills., • Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused., • Scripting and programming experience. Preferred Experience • Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures., • Experience with Azure, AWS or Google cloud services., • Experience with LSF job scheduler and GPFS Spectrum Scale., • Experience in a healthcare environment., • Experience in a research environment is highly preferred., • Experience with software that enables privacy-preserving linking of PHI., • Experience with Globus data transfer., • Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Roles & Responsibilities: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, the research clinical data warehouse team and a research data services team. The Senior HPC Administrator, High Performance Computational and Data Ecosystem, is responsible for a computational and data science ecosystem for researchers at Mount Sinai. This ecosystem includes high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. To meet Sinai’s scientific and clinical goals, the Senior Administrator has a good technical understanding for computational, data and software development systems along with a strong focus on customer service for researchers. The HPC Senior Administrator is an expert troubleshooter and productive team member and leads projects to effective and efficient completion independently under little to no supervision. This position reports to the Director for Computational & Data Ecosystem in Scientific Computing. Specific responsibilities are listed below. Responsibilities • Design, deploy and maintain Scientific Computing’s computational and data science ecosystem including ~30,000 cores with high bandwidth, low latency interconnects, GPUs, large shared memory nodes, databases, scientific workflows and 30+ petabytes of storage in production, clinical data warehouse and software development environment., • Lead the troubleshooting, isolation and resolution of all technical issues including application, system, hardware, software, and network). Actively monitors the systems., • Maintains, tunes and manages computational, data, cloud technologies and workflow systems for ISMMS researchers, scientists and their external collaborators. Defines and deploys a comprehensive computational and data vision. Identifies and communicates system advantages/disadvantages and tradeoffs., • Designs, develops, implements system administration tasks, including hardware and software configuration, configuration management, system monitoring (including the development and maintenance of regression tests), usage reporting, system performance (file systems, scheduler, interconnect, high availability, etc.), security, networking and metrics, etc., • Collaborates effectively with research and hospital system IT, compliance, HIPAA, security and other departments to ensure compliance with all regulations and Sinai policies., • Participates in the integration of HPC resources with laboratory equipment such as sequencers, clinical and research data resources and systems, etc. Incorporate and link data and compute resources., • Researches, deploys and optimizes resource management and scheduling software and policies and actively monitoring. Designs, tunes, manages and upgrades parallel file systems, storage and data-oriented resources., • Researches, deploys and manages security infrastructure, including development of policies and procedures., • Maintain all necessary aspects of HPC in accordance with best practices. Develops and implements backup policies., • Prepares and manages budgets for hardware, software and maintenance. Participates in chargeback/fee recovery analysis and provides suggestions to make operations sustainable., • Assists in developing and writing system design for research proposals. Creates and provides clear documentation., • Works effectively and productively with other team members within the group and across Mount Sinai., • Performs related duties as assigned or requested., • Provides after hours support for critical system and production issues., • Answers and resolves user tickets. Qualifications: • Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred, • 8+ years (higher preferred) of progressive HPC system administration and operations (preferably in a Redhat/CentOS Linux administration, Batch HPC cluster environment), • Must be an expert troubleshooter; Must be a team player and customer focused, • Experience with job scheduler such as LSF or Slurm and parallel file systems and storage, • Experience with networking and security, • Experience with configuration management systems such as xCAT, Puppet and/or Ansible, • Experience of databases and web services, • Experience in Infiniband, Gigabit Ethernet, • Experience in an academic or research community environment, • Script and programming experience, • Experience with Cloud Computing, • Ability to multitask effectively in a dynamic environment, • Excellent communication skills, analytical ability, strong judgment and management skills, and the ability to work effectively as a liaison between both research and technology teams., • Advanced degree, • Experience with GPFS, LSF, TSM, IB and ethernet networking, • Experience with databases and web services is highly preferred Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

We’re hiring a Elite top 0.01% technical leader to join our stealth-mode AI startup on a mission to build the next $100B+ AI company. This is your moment to operate at the forefront of innovation, moving faster than Frontier AI giants—with full autonomy, velocity, and impact. About Us We are a US-based stealth AI company (HQ in NYC & SF/Palo Alto), founded by the former Head of AI Products at Microsoft, with a team that includes: • Deep technical DNA: Stanford MS, CMU PhD, Stanford undergrad, Duke, IITs etc., • Experience across DeepMind, Google, Microsoft, Salesforce with multiple unicorn exits including recent $700M+ AI exit, • Advisors include: Founding team at Google, Former CXO at Verizon (reporting to CEO), Founding CXO of the world’s largest startup accelerator etc., • Early investors: leaders from Microsoft, Google, Amazon, Salesforce, Fortune 15 etc. We’re building a new category of AI-native systems already being piloted with prominent enterprise customers with significant interest from both top-tier VCs and Fortune 500 transaction teams What You’ll Do • Architect cutting-edge AI systems from first principles, • Build at groundbreaking speed—from prototype to real-world deployments, • Engage directly with enterprise design partners, translating feedback into breakthrough product features, • Collaborate cross-functionally with product, GTM, and strategic advisors to shape the company’s technical and commercial trajectory Who You Are • PhD, MS, or Undergrad from Stanford, MIT, CMU, IIT-B/D/K, or equivalent, • Strong foundation in Computer Science, AI/ML, Compound AI systems, distributed systems, AI Agents, advance Reasoning models etc., • Experience at Frontier AI labs or elite engineering orgs (e.g., OpenAI, Anthropic, Google, DeepMind, Microsoft, , Salesforce, AI Unicorns etc.), • Clear communicator and strategic thinker who thrives in high-agency, zero-to-one environments, • Title flexibility: Field CTO, VP Engineering, or Co-Founder track, • You will be a core leader shaping one of the most ambitious AI companies of this decade 📍 Location • NYC or SF / Palo Alto preferred (Open to other locations for exceptional talent) Why Now? As the world accelerates toward AGI, this is your chance to: • Be at the forefront of innovation, • Build foundational AI with first-mover advantage, • Help create the next $100B+ AI company alongside a legendary team Warm intros preferred via shared alumni networks or mutual connections. • Only apply if you’re ready to build at full velocity

A leading institutional investment platform is seeking a Quantitative Associate to join its Portfolio Management team, supporting the oversight of a diversified credit investment portfolio. This individual will work directly with the Lead Portfolio Manager on portfolio construction, asset allocation, risk analytics, and optimization across private and public credit strategies. The ideal candidate has strong technical capabilities, a deep understanding of portfolio theory, and hands-on experience supporting investment decision-making within an asset manager, insurance company, or advanced credit-focused investment team. Key Responsibilities • Support the Lead Portfolio Manager on all aspects of portfolio construction, asset allocation, optimization, and risk budgeting., • Develop and enhance quantitative models, tools, and dashboards to evaluate portfolio performance, exposures, factor sensitivities, and scenario analysis., • Build analytics to support investment decisions across structured credit, corporate credit, private credit, and multi-asset credit portfolios., • Conduct portfolio optimization analyses including capital allocation, yield/risk trade-offs, liability-aware investing, and regulatory constraints., • Partner with PMs, traders, and risk management to integrate data, improve analytics pipelines, and ensure accuracy of exposures and risk metrics., • Automate and scale reporting processes across performance attribution, liquidity forecasting, and forward-looking risk scenarios., • Contribute to research initiatives across macro trends, interest-rate modeling, and credit-spread dynamics. Qualifications • Advanced STEM degree preferred (e.g., MS/PhD in Quantitative Finance, Statistics, Applied Mathematics, Computer Science, Engineering, or similar)., • 3–8 years of experience supporting portfolio management, investment research, or risk analytics at a leading asset manager, insurance company, hedge fund, or credit-focused investment team., • Strong programming skills in Python (preferred), plus proficiency in SQL, • Strong background in portfolio construction, optimization, risk modeling, and financial mathematics., • Familiarity with fixed income and credit asset classes (structured credit, corporate credit, private credit, securitized products, etc.)., • Experience building models and analytics to support PMs, with the ability to translate quantitative insights into actionable investment recommendations., • Excellent communication skills and an ability to work cross-functionally in a fast-paced environment. Compensation Base: $150k - $215k Total Comp: $250k - $300k Other In office 5 days a week - downtown Manhattan

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier astronomy problem-solving. We are looking for astronomy experts who hold a PhD or Master’s degree, or have experience participating in the International Astronomy Olympiad (IAO). The goal of this project is to create novel, clear, and challenging Olympiad-style astronomy problems that cause frontier AI models to fail (i.e., generate an incorrect response) and to support the training of cutting-edge AI reasoning systems. This is a short-term, high-impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ### 2\. Key Responsibilities - Write original & advanced IAO-style astronomy problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity, and reasoning quality, and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently rigorous derivations - Provide clear, concise, and correct solutions and reasoning, formatted in LaTeX - Maintain extremely high standards of precision, scientific rigor, and problem difficulty ### 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in astronomy (or a related field), or are an Olympiad participant or medalist in the IAO (preferred) or equivalent competitions (RAO, CAO, IAO TST, AAO, EuAO, USAAO, BAO, INAO, JAO, UAC, IAYPT, CAUT, etc.) Other qualifications: - Deep understanding of core theoretical and observational concepts in astronomy and astrophysics - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of astronomy problems - Rigorous attention to detail in verifying solutions ### 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Project length: ~2 months, with potential for extension - Rolling start dates; setup typically within 1–2 days of approval ### 5\. Compensation & Contract Terms - $60–80/hr, dependent on experience and performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ### 6\. Application Process 1. Submit your resume or CV highlighting your astronomy background and relevant achievements 2. Complete a brief interview (20–30 minutes) 3. Submit a short form detailing your experience writing problems and competing in astronomy or related Olympiads 4. Selected applicants will be contacted within a few days with next steps ### 7\. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains such as science, engineering, and research have partnered with Mercor to contribute to frontier AI projects shaping the next era of technology. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance frontier biology problem-solving. We are looking for biology experts who hold a PhD or Master’s degree, or have experience participating in the International Biology Olympiad (IBO). The goal of this project is to create novel, clear, and challenging Olympiad-style biology problems that cause the frontier AI models to fail (i.e. generate an incorrect response) and support the training of cutting-edge AI models. This is a short-term, high impact, remote opportunity for those excited about applying their expertise to frontier AI research, with the possibility of extension based on performance. ## 2\. Key Responsibilities - Write original & advanced IBO-style biology problems to challenge frontier AI models - Evaluate AI-generated solutions for correctness, clarity and style and identify where models fail - Identify logical flaws, incomplete reasoning, or insufficiently-rigorous proofs - Provide clear, concise, and correct solutions & chain of thought reasoning using proper LaTeX formatting - Maintain extremely high standards of precision and problem difficulty ## 3\. Required Qualifications Note: Applicants must be highly proficient in writing and formatting documents using LaTeX You are a good fit for the project if you have any of the following experiences: - Have a Master’s or PhD in biology (or a related field), or are an Olympiad participant or medalist in the IBO (preferred) or equivalent competitions (RBO, CBO, IBO TST, ABO, EUBO, USABO, BBO, INBO, JBO, UBC, IBO Challenge, NSBO, etc.) Other qualifications: - Deep understanding of your domain’s core theoretical and experimental concepts - Ability to articulate reasoning and derivations clearly in written form - Strong ability to evaluate the rigor and complexity of biology problems - Rigorous attention to detail in verifying solutions ## 4\. More About the Opportunity - Expected commitment: 20 hours/week minimum; up to 40 hours/week available - Approximate project length: ~2 months, with extension potential - Rolling start dates; setup typically within 1–2 days of approval ## 5\. Compensation & Contract Terms - $60-80/hr dependent on experience + performance - Open to contributors worldwide (English proficiency required) - Independent contractor engagement - Payments issued weekly via Stripe Connect ## 6\. Application Process - Submit your resume or CV highlighting biology background and relevant achievements - Complete a brief interview (20–30 minutes) - Submit a short form detailing your experience writing problems and competing in biology competitions - Selected applicants will be contacted within a few days with next steps ## 7\. About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have partnered with Mercor to contribute to frontier projects shaping the next era of AI. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is seeking STEM PhDs for a premier project with one of the world's top AI labs. This role pays between $65-100/hour. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. You're a good fit if you: - Have a STEM PhD from a top US university in domains such as Engineering (Mechanical/Chemical/Electrical), Biology, Chemistry, Physics. - Have high attention to detail - Have exceptional written and verbal communication skills Here are more details about the role: - You will interface directly with prominent AI researchers from the lab in a private Slack channel - The role is ongoing starting in March and continuing with rolling applications. - The project is 10-20 hours of work per week with potential to be extended to 40 hours per week - The work is fully remote and asynchronous so it can flexible and subject to your schedule - This project is scoped to last a minimum of 1-2 months With respect to pay and legal status: - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect Screening Process: - You will need to complete a short interview and task that will take 20-30 mins and we will pay for up to 1hour of onboarding time including this and a few onboarding videos if you are hired. Currently, we are only accepting applicants from the U.S., UK, and Canada. ## About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. * * * Apply today and leverage your leadership and technical expertise to advance cutting-edge AI models!

Other qualifications: - Deep understanding of core engineering principles and real-world systems. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. You are a strong fit for this project if

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

One or more of the following credentials or certifications is required: CPA License, Level 3 of the CFA, JD, PhD, MBA or Master's degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics, Real Estate Finance or Hospitality A State Licensed Appraiser, Member of Appraisal Inst

MS degrees in Computer Science, Cybersecurity, Cybersecurity Risk and Strategy, Emerging Tech, and PhD degrees in Computer Science. In particular, we presently seek instructors for Offensive Security (graduate standing) with a hands-on approach. Cybersecurity, Computer Science, Computer Engineering,

Education: Bachelor's of Architecture or Architectural Engineering required; an Advanced degree (M / PhD) is an asset. Associate 3+ (Architect for Building Envelope Group). We are seeking an intermediate to senior-level professional architect to join our Building Envelope team in either Chicago or N

The Department of Civil and Urban Engineering (CUE) at the NYU Tandon School of Engineering invites applications for the position of Department Chair and Professor of CUE, with an anticipated start date of. Successful candidates should have a PhD degree in Civil Engineering, Environmental Engineerin

Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Stripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2026

Candidates should have broad expertise in energy system modeling, involving the analysis of how energy is produced, distributed, stored, and consumed across multiple technologies and time scales. Research experience to PhD level (or equivalent) in Energy system modeling or energy system engineering.

Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent). PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent). You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions.

Accounting, Accounting & Finance, Mathematics, Finance, Real Estate, Engineering and Business, Engineering preferred. One or more of the following credentials or certifications is required: CPA License, Level 3 of the CFA, JD, PhD, MBA or Master's degree in Finance, Tax, Quantitative Statistics, Fin

We are looking for an experienced Senior Staff Machine Learning Engineer to join the Account Integrity team within Trusted Identity engineering org at Uber. PhD degree in Computer Science, Engineering, Mathematics or related field. Leverage algorithmic knowledge in machine learning/optimization/stat

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 Applied Physics is seeking a highly motivated Senior Electro-Optical Engineer to join our team. The successful candidate will be responsible for leading the development, design, and testing of optical systems for space-based applications. The ideal candidate will have a Bachelor's degree in Optical Engineering, Physics, or a related field and 5 or more years of professional experience, a Master's degree and 3 or more years of experience, or a related PhD. Qualifications: • Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experience, • Experience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parameters, • Experience with integration, test, characterization, and/or verification of optical systems, • Lead a small optical engineering team as the Certified Principal Engineer (CPE) for the build and test of prototype or high TRL optical sensor hardware, • Perform optical analysis to determine ability of designed optical systems to meet specifications, • Work with Systems Engineering to perform system level design and decomposition into optical system requirements, • Participate in studies and system trades for enhanced capabilities, • Lead development of materials for program technical reviews and present data throughout the product development and maturation processes, • Procure optical components to specification to meet performance goals, • Lead development of build documents, hardware assembly, integration, test planning, and test execution of optical systems, • Report progress periodically to program leadership and external customers and clients, • Support spacecraft integration within a program coordinating across multiple disciplines to ensure requirements verification, • Participate in failure investigations and anomaly resolution boards, • Work with Certified Principal Engineers (CPEs), Responsible System Engineers (RSEs), designers, and test engineers to ensure smooth integration at the system level We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionAbout 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. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Position Overview: We are seeking a highly motivated and self-driven Photonics Test Engineer to take ownership of test development and operations for our cutting-edge silicon photonics FMCW LiDAR technology. This is a hands-on role where you will develop and execute advanced test methodologies, ensure rigorous validation of our photonics devices, and work closely with a multidisciplinary engineering team. You will set a high standard for test execution, troubleshooting, and process improvements, leading by example through direct contributions and technical expertise. Key Responsibilities: * Develop and execute design verification tests, analyze results, and provide feedback to improve device performance. * Define and implement both die-level and wafer-level test solutions in collaboration with design, product, and packaging teams. * Develop production test solutions for silicon photonics components to ensure manufacturability and scalability. * Optimize and standardize test and analysis methodologies to improve repeatability and accuracy. * Bring up, manage, and operate automated wafer-level test (WLT) probers for silicon photonics devices. * Perform routine setup calibrations and ensure quality control in test processes. * Identify and mitigate test challenges, ensuring the execution of large-scale technical projects in a timely and efficient manner. Qualifications: * Education: Bachelor's, Master’s, or PhD in Electrical Engineering, Photonics, Optics, Physics, or a related field. * Experience: Minimum 2 years of hands-on lab experience testing silicon photonics devices or related photonics/optics components. * Technical Expertise: * Strong understanding of optical integrated circuit (PIC) design, testing, and its impact on product yield and performance. * Hands-on experience with optical test and measurement equipment (e.g., optical spectrum analyzers, power meters, interferometers, high-speed photodetectors) and optomechanical alignment tools. * Proficiency in Python for test automation, data analysis, and instrument control. * Knowledge of automated wafer-level testing (WLT) and test methodologies for silicon photonics. Practical experience in WLT is highly preferred. * Experience with fiber alignment automation or active alignment techniques. * Problem-Solving: Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and propose corrective actions. * Communication & Collaboration: * Strong verbal and written communication skills to effectively convey complex test results, analysis, and technical insights. * Ability to work cross-functionally with design, manufacturing, and packaging teams. * Work Ethic & Adaptability: * Highly self-motivated and capable of managing multiple tasks with attention to detail. * Comfortable working in a fast-paced environment with evolving technical challenges. Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office 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 DescriptionMission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll play a critical part in building DataCamp's software engineering curriculum. You'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to design and develop our software engineering curriculum—helping millions worldwide upskill in foundational programming and engineering skills. This is an individual contributor role—you will be expected to recruit instructors, create course outlines, review course content, and create and update course content where needed. Here's what your day-to-day will look like: • Own the software engineering curriculum roadmap. You will conduct research on industry trends and in-demand skills and continuously iterate on our curriculum strategy to ensure our roadmap and priorities reflect best practices in software engineering., • Manage the entire content development lifecycle and deadlines., • Source and recruit top-tier instructors who are subject matter experts., • Collaborate with instructors to create engaging content., • Design, review, and create content covering software engineering topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective., • Work with cross-functional teams, including engineering, to enable content creation for more advanced technical topics., • Continuously assess course performance using learner feedback and engagement data to drive improvements., • Proven full-stack web development experience with HTML, CSS, JavaScript, and Typescript. Understanding of modern web standards, cross-browser compatibility, and accessibility., • Hands-on experience with JS/TS backend frameworks such as Express or Next.js and familiarity with front-end frameworks like React., • Experience with modern JS tooling such as npm and yarn, automated testing using frameworks such as Jest, and methodologies as Test-Driven Development (TDD) and/or Behavior-Driven Development (BDD)., • You can quickly learn new concepts in software engineering and identify what learners need to know about these concepts., • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences., • Graduate degree (Master's or PhD) in Computer Science, AI, or a related STEM field, or equivalent industry experience., • Ability to work collaboratively with both technical and non-technical stakeholders. You thrive wearing multiple hats., • Strong written and verbal communication skills and attention to detail., • Strong sense of ownership, accountability, and urgency., • Experience in software engineering education., • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course. Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team: • Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding., • Competitive compensation: We offer a competitive salary with attractive benefits., • Flexibility: Benefit from flexible working hours because the future is flexible!, • Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth., • Global retreats: Participate in international company retreats, fostering a global team spirit., • Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

Job Description SENIOR DATA SCIENTIST AGENTIC AI My name is Bill Stevens, and I have a new three month plus contract to hire Senior Data Scientist, Agentic AI opportunity available for a major firm with offices located in Midtown, Manhattan on the West Side and Holmdel, New Jersey that could be of interest to you, please review my specification below. The work week schedule will be hybrid, three days a week in either of the firms’ offices and two days remote. The onsite work site will be determined by the candidate. The ideal candidate should also possess a green card or be of citizenship. No Visa entanglements and no H1-B holding company submittals. The firms Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Their team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. The firm created the Data Science Lab (DSL) to reimagine emerging technologies, evolving consumer needs, and rapid advances in AI. The DSL expedites transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. They are seeking a Senior Data Scientist, Agentic AI who is an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how the firm operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across the firm’s products and services. Key Responsibilities: Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. Build autonomous agents and multi-step reasoning systems that integrate with the firm’s core platforms to deliver measurable business impact. Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across the firm. Qualifications for this role: Passionate about pushing the frontier of AI while applying it to solve real-world business problems. Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field 3+ years of hands-on AI modeling/development experience Strong theoretical foundations in probability & statistics Strong programming skills in Python including PyTorch, Tensorflow, LangGraph Solid background in machine learning algorithms, optimization, and statistical modeling Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success This position pays $150.00 per hour on a w-2 hourly basis or $175.00 per hour on a Corp basis. The Corp rate is for independent contractors only and not third-party firms. No Visa entanglements and no H1-B holding companies. The interview process will include an initial phone or virtual interview screening. Please let me know your interest in this position, availability to interview and start for this position along with a copy of your recent resume.

Job DescriptionOXMAN is a hybrid Design and R&D company that merges design, technology, and biology to create innovative multi-scale products and environments. Our work transcends traditional boundaries, leveraging digital tools and Nature-centric approaches to heal the relationship between humanity and the natural world. Our vision emphasizes synergy between human-made and Nature-grown environments, designing whole systems that positively impact ecological outcomes. We are seeking an enthusiastic and innovation-driven Lead Software Engineer to transform our Eden Technologies—comprising design optimization, generative tools, environmental simulation, and ecosystem behavior models—into an integrated software platform. This role offers a unique opportunity to develop innovative technologies and visually compelling software that supports the digital design of architectural and urban projects optimized for ecosystem services. Join us to redefine how design and technology can coexist with and enhance the natural world. Please provide cover letter and portfolio if available. Responsibilities • Architect and implement software solutions that translate and advance Eden Technologies into integrated, user-friendly, visually engaging applications., • Develop computational methods in data-driven optimization, simulation, and design generation, aligned with Eden Technologies, to enhance ecosystem services, biodiversity, and ecological resilience, • Define and drive the software development roadmap, ensuring alignment with OXMAN's overarching mission and project timelines., • Develop web-based or desktop applications with interactive 3D rendering capabilities., • Collaborate closely with interdisciplinary teams, including computational ecologists, researchers, and designers, to integrate computational methods into robust software products., • Explore and propose suitable frameworks, game engines, and pipelines to deliver high-quality experiences and real-time performance., • Integrate GIS and geospatial data into software solutions, enabling spatial analysis and visualization of ecological data., • Ensure vertical integration of computational tools into cohesive software and horizontal integration through efficient maintenance and modular codebase management., • Actively contribute to defining software architecture and implementing best practices in coding, testing, and deployment., • Provide technical documentation and support, ensuring usability, maintainability, and scalability.Qualifications, • PhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant field, • Minimum 4 years of experience, • Proficiency in modern variants of programming languages such as JavaScript, TypeScript, or C++., • Familiarity with 3D web rendering frameworks (e.g., Three.js) or game engines (Unity, Unreal Engine)., • Familiarity with 3D applications such as Rhino Grasshopper, SideFX Houdini is a plus., • Ability to work collaboratively in multidisciplinary teams., • Strong problem-solving skills, enthusiasm, and creativity to approach complex software development challenges., • Experience with GIS (Geospatial Information Systems) and analysis of remote sensing data., • Experience with computational methods, particularly in applications related to generative design, data-driven optimization and environmental modeling., • Understanding of deep generative modelling methods as it relates to design generation., • Understanding of reinforcement learning techniques and their application in data-driven design optimization scenarios., • Understanding of computational simulation methods for environmental modelling., • Familiarity with ecological modeling, environmental data analysis, or sustainability-focused design principles., • Experience integrating environmental datasets (e.g., climate data, biodiversity records) into software applications.Preferred Qualifications, • Experience or interest in ecological design or architecture software., • Previous involvement with computational modeling, visualization, or simulation software., • Understanding or willingness to learn about ecosystem services, environmental data, and spatial analytics., • Experience collaborating in interdisciplinary teams, bridging software engineering with fields like ecology, architecture, or biology., • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Location

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking an accomplished Staff Product Manager to lead the release and launch of Cleerly's AI-powered products for cardiovascular health. The Product Manager will collaborate with cross-functional teams to define product requirements, prioritize features, and deliver innovative AI solutions that directly impact the diagnostic and prognostic care pathways for heart disease. This role requires a focus on understanding clinical needs, designing effective solutions, and making informed trade-offs to balance customer demands with technical feasibility. The Product Manager will be a primary contributor to product definition and will be responsible for prioritizing and articulating new opportunities in the marketplace and defining the product roadmap in alignment with the overall business objectives. Responsibilities • Lead the product roadmap for innovation products aligning with market demand, customer needs and company goals., • Engage with internal and external stakeholders, such as clinicians and AI scientists, to shape the product vision and direction; establish the voice of the customer funnel., • Write clear business and functional requirements that support development efforts while ensuring clinical relevance and regulatory alignment., • Understand the domain of diagnostic and prognostic care pathways for heart disease to guide product decisions., • Prioritize features and balance trade-offs between performance, feasibility, and business impact., • Collaborate with AI, regulatory, and engineering teams on implementation, from design and development reviews to launch, ensuring timely and high-quality delivery., • Work closely with product management and leadership teams to develop and support the go-to-market strategy., • Define, track, and interpret key product metrics to drive future product iteration, inform decisions and drive continuous improvement., • 10-12+ years in product and portfolio management, with hands-on experience developing and launching SaMD, or AI-driven healthcare solutions., • Bachelor's degree in Engineering, Biomedical Engineering, or a related technical field (MS or PhD a plus)., • Proven track record of leading the roadmap planning, end-to-end development, launch, and iteration of complex products in fast-paced or startup environments., • Deep understanding of clinical workflows and advanced imaging techniques, particularly in cardiology and radiology., • Track record of managing products through the full lifecycle, from concept to launch and beyond, while anticipating future needs and problems in the roadmap., • Strong research and analytical skills, a deep understanding of customer needs, and an ability to represent the customer as a stakeholder in detailed design team meetings., • Skilled at breaking down complex, ambiguous, or changing problems into clear product strategies and functional requirements., • Familiar with deep learning concepts, agile development methodologies (e.g., Agile, Scrum), and the regulatory environment (FDA, HIPAA, and global guidelines)., • Comfortable working cross-functionally including ML/AI, clinical, engineering, sales, regulatory, and marketing teams., • 12+ years in product and portfolio management, with hands-on experience developing and launching SaMD, or AI-driven healthcare solutions., • Experience leading cross-functional project teams including ML/AI,imaging, clinical, engineering, sales, regulatory, and marketing teams., • Prior experience in the cardiovascular field with base knowledge of cardiovascular diseases and procedures, to be able to engage in thoughtful discussions with key stakeholders., • Comprehensive knowledge of one or more medical imaging modalities (CT, MRI, Ultrasound, Fluoroscopy, etc.) and their role in diagnostic decision making, procedure planning and guidance., • Prior experience in complex healthcare or medical imaging workflow applications and enterprise imaging IT solutions., • Track record of driving strategic ideas, building business cases, developing product roadmaps, and securing executive alignment to deliver high-impact solutions. *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer-facing motion is guided by accurate, timely, and actionable intelligence. About the Role As a Senior Data Scientist, Sales Operations, you will play a pivotal role in shaping our commercial strategy and enabling data-driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine-learning models, and translate complex datasets into clear, strategic insights. Your work will directly guide forecasting, planning, segmentation, quota design, and GTM investments. You'll collaborate closely with cross-functional leaders and influence decisions at the highest levels. What You'll Do • Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting., • Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling)., • Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns — and convert them into strategic recommendations., • Lead GTM planning cycles: develop forecasting models, scenario planning, "what-if" analyses, target-setting methodologies, and playbooks., • Produce executive-level reporting and communicate insights and recommendations clearly to senior leadership and cross-functional stakeholders., • Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility., • Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions., • Own the end-to-end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement., • Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data-driven culture within Sales Operations.Who You Are, • 6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high-growth technology environments., • Expertise with SQL, Python/R, large-scale datasets, statistical modeling, machine-learning methods, and data visualization tools., • Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership., • Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes., • Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics., • Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision-ready insights., • Bachelor's degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred.Preferred, • Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling)., • Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.)., • You love uncovering insights in messy datasets and turning them into strategic action., • You're curious about how GTM engines work and how data can unlock revenue growth., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking an accomplished Staff Product Manager to lead the release and launch of Cleerly's AI-powered products for cardiovascular health. The Product Manager will collaborate with cross-functional teams to define product requirements, prioritize features, and deliver innovative AI solutions that directly impact the diagnostic and prognostic care pathways for heart disease. This role requires a focus on understanding clinical needs, designing effective solutions, and making informed trade-offs to balance customer demands with technical feasibility. The Product Manager will be a primary contributor to product definition and will be responsible for prioritizing and articulating new opportunities in the marketplace and defining the product roadmap in alignment with the overall business objectives. Responsibilities • Lead the product roadmap for innovation products aligning with market demand, customer needs and company goals., • Engage with internal and external stakeholders, such as clinicians and AI scientists, to shape the product vision and direction; establish the voice of the customer funnel., • Write clear business and functional requirements that support development efforts while ensuring clinical relevance and regulatory alignment., • Understand the domain of diagnostic and prognostic care pathways for heart disease to guide product decisions., • Prioritize features and balance trade-offs between performance, feasibility, and business impact., • Collaborate with AI, regulatory, and engineering teams on implementation, from design and development reviews to launch, ensuring timely and high-quality delivery., • Work closely with product management and leadership teams to develop and support the go-to-market strategy., • Define, track, and interpret key product metrics to drive future product iteration, inform decisions and drive continuous improvement., • 10-12+ years in product and portfolio management, with hands-on experience developing and launching SaMD, or AI-driven healthcare solutions., • Bachelor's degree in Engineering, Biomedical Engineering, or a related technical field (MS or PhD a plus)., • Proven track record of leading the roadmap planning, end-to-end development, launch, and iteration of complex products in fast-paced or startup environments., • Deep understanding of clinical workflows and advanced imaging techniques, particularly in cardiology and radiology., • Track record of managing products through the full lifecycle, from concept to launch and beyond, while anticipating future needs and problems in the roadmap., • Strong research and analytical skills, a deep understanding of customer needs, and an ability to represent the customer as a stakeholder in detailed design team meetings., • Skilled at breaking down complex, ambiguous, or changing problems into clear product strategies and functional requirements., • Familiar with deep learning concepts, agile development methodologies (e.g., Agile, Scrum), and the regulatory environment (FDA, HIPAA, and global guidelines)., • Comfortable working cross-functionally including ML/AI, clinical, engineering, sales, regulatory, and marketing teams., • 12+ years in product and portfolio management, with hands-on experience developing and launching SaMD, or AI-driven healthcare solutions., • Experience leading cross-functional project teams including ML/AI, imaging, clinical, engineering, sales, regulatory, and marketing teams., • Prior experience in the cardiovascular field with base knowledge of cardiovascular diseases and procedures, to be able to engage in thoughtful discussions with key stakeholders., • Comprehensive knowledge of one or more medical imaging modalities (CT, MRI, Ultrasound, Fluoroscopy, etc.) and their role in diagnostic decision making, procedure planning and guidance., • Prior experience in complex healthcare or medical imaging workflow applications and enterprise imaging solutions, • Track record of driving strategic ideas, building business cases, developing product roadmaps, and securing executive alignment to deliver high-impact solutions. TTC $219,000 - $270,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

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 The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features, • Shape the future of our Android team, • Own, maintain and improve reliability metrics for key features, • Participate in discussions across different teams - Product, Design, Engineering, • Review pull requests, and support other teammates, • Handle critical issues or cope with unexpected challenges, • 5+ years of software engineering experience, • Familiarity with Android components, • Experience building or contributing to at least one Android app, • Product design intuition and user empathy, • Drive to push the boundaries of Android UI/UX, • Understanding of the importance of tests and how to approach writing tests, • Self-drive to improve the app and codebase above and beyond what's outlined in the spec, • Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests, • Excellent communication skills, • User oriented problem solving approach, • Experience building, maintaining, or otherwise contributing to open source projects in Android, • Kotlin, • Kotlin Coroutines, • Kotlin Flow, • Jetpack Navigation, • Dagger 2, • Room, • Custom Views, Canvas & Paint, • Jetpack Compose, • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features, • Shape the future of our Android team, • Own, maintain and improve reliability metrics for key features, • Participate in discussions across different teams - Product, Design, Engineering, • Review pull requests, and support other teammates, • Handle critical issues or cope with unexpected challenges, • 5+ years of software engineering experience, • Familiarity with Android components, • Experience building or contributing to at least one Android app, • Product design intuition and user empathy, • Drive to push the boundaries of Android UI/UX, • Understanding of the importance of tests and how to approach writing tests, • Self-drive to improve the app and codebase above and beyond what's outlined in the spec, • Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests, • Excellent communication skills, • User oriented problem solving approach, • Experience building, maintaining, or otherwise contributing to open source projects in Android, • Kotlin, • Kotlin Coroutines, • Kotlin Flow, • Jetpack Navigation, • Dagger 2, • Room, • Custom Views, Canvas & Paint, • Jetpack Compose, • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency. Responsibilities: • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures., • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators., • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption., • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry., • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products., • Work closely with other software and hardware engineers to develop the next generation of deep learning software., • 10+ years of experience developing software for a variety of highly parallel architectures., • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs., • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity., • Understanding of Deep Learning fundamentals., • Strong development skills in C/C++, Python., • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority., • Computer Science, Engineering, or related degree; preferably MS or PhD., • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days

Job DescriptionPrincipal Data Scientist – Data & AI (Hybrid) Global Technology Organization We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide. In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact. What You’ll Work On Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources. Lead the design and optimization of scalable data pipelines to support production-grade ML systems. Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions. Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness. Produce clear documentation and communicate insights effectively to both technical and non-technical audiences. Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies. Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required). 10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact. Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development. Proven experience deploying models in cloud-based or distributed environments. Who Thrives Here Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions. Strong analytical thinkers with exceptional communication skills. Collaborative professionals who enjoy working across engineering, product, and data teams. Individuals who embrace continuous learning and stay ahead of modern ML trends.Machine Learning, Machine learning technologies, Python, TensorFlow, TensorFlow, Pandas, PyTorch, ETL - Extract Transform Load, ETL - Extract Transform Load

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description From climate change to resource management, today’s environmental challenges call for creative, interdisciplinary solutions. This course invites students to explore what it means to build a sustainable future that balances human needs with the health of our planet. Using a systems-thinking approach, students investigate the interconnectedness of ecosystems, food systems, energy systems, and the built environment. Through interactive lectures, hands-on lab activities, and design-based projects, students will examine topics such as ecological restoration, regenerative agriculture, energy-efficient design, and sustainable transportation. Field experiences bring these ideas to life through visits to locations such as the Hudson River, the Billion Oyster Project, vertical farms, and examples of green architecture. Students conduct water and air quality testing, experiment with renewable energy through projects like solar cars and water wheels, and collaborate on case studies that analyze real-world strategies for sustainability. By the end of the course, students gain practical insight into how science, engineering, and social systems can work together to design a more resilient and sustainable world. Course Schedule(s) Session A: June 29 - July 17 -- 11:10am - 1:00pm & 3:10 - 5:00pm Session B: July 21 - August 7 -- 9:10 - 11:00am & 1:10 - 3:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Ranges: * Session A & B (Campus, 3 Week): $7,000 - $9,000 Please specify which session(s) you would be interested in teaching in the Message to Hiring Manager field. * Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description Making urban areas livable, sustainable, and desirable is a top priority for governmental bodies, economists, business leaders, realtors, and many other key stakeholders. Shaping the way our society operates is a big job, and it’s why urban planning is such a sought-after career. Becoming an urban planner requires a combination of sophisticated skills that includes architecture, engineering, and design. Through this course, students will explore the fundamentals of urban planning, learn how to build effective communities, and discuss the best practices of working with land (including infrastructure, water, and air) to design healthy, happy, and in-demand habitats. Additionally, students will explore how transportation, business districts, and environmental concerns impact development through hands-on experiences, like field trips. By the end of the course, students will have an acumen for discussing history, theory, and pressing social issues that impact both real estate and residents’ quality of life. Note: This class will focus on this topic from a United States perspective. Course Schedule Session A: June 29 - July 17 Time: 11:10am - 1:00pm & 3:10 - 5:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Ranges: * Session A (Campus, 3 Week): $7,000 - $9,000 Please confirm your availability to teach the schedule in the Message to Hiring Manager field. * Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionAbout Handshake AI Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired. Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts. Now’s a great time to join Handshake. Here’s why: * Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide. * Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs. * World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few. * Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more. About the Role As a Staff Research Scientist, you will play a pivotal role in shaping the future of large language model (LLM) alignment by leading research and development at the intersection of data quality and post-training techniques such as RLHF, preference optimization, and reward modeling. You will operate at the forefront of model alignment, with a focus on ensuring the integrity, reliability, and strategic use of supervision data that drives post-training performance. You’ll set research direction, influence cross-functional data standards, and lead the development of scalable systems that diagnose and improve the data foundations of frontier AI. You will: * Lead high-impact research on data quality frameworks for post-training LLMs — including techniques for preference consistency, label reliability, annotator calibration, and dataset auditing. * Design and implement systems for identifying noisy, low-value, or adversarial data points in human feedback and synthetic comparison datasets. * Drive strategy for aligning data collection, curation, and filtering with post-training objectives such as helpfulness, harmlessness, and faithfulness. * Collaborate cross-functionally with engineers, alignment researchers, and product leaders to translate research into production-ready pipelines for RLHF and DPO. * Mentor and influence junior researchers and engineers working on data-centric evaluation, reward modeling, and benchmark creation. * Author foundational tools and metrics that connect supervision data characteristics to downstream LLM behavior and evaluation performance. * Publish and present research that advances the field of data quality in LLM post-training, contributing to academic and industry best practices. Desired Capabilities * PhD or equivalent experience in machine learning, NLP, or data-centric AI, with a track record of leadership in LLM post-training or data quality research. * 5 years of academic or industry experience post-doc * Deep expertise in RLHF, preference data pipelines, reward modeling, or evaluation systems. * Demonstrated experience designing and scaling data quality infrastructure — from labeling frameworks and validation metrics to automated filtering and dataset optimization. * Strong engineering proficiency in Python, PyTorch, and ecosystem tools for large-scale training and evaluation. * A proven ability to define, lead, and execute complex research initiatives with clear business and technical impact. * Strong communication and collaboration skills, with experience driving strategy across research, engineering, and product teams. Extra Credit * Experience with data valuation (e.g. influence functions, Shapley values), active learning, or human-in-the-loop systems. * Contributions to open-source tools for dataset analysis, benchmarking, or reward model training. * Familiarity with evaluation challenges such as annotation disagreement, subjective labeling, or multilingual feedback alignment. * Interest in the long-term implications of data quality for AI safety, governance, and deployment ethics. Perks Handshake delivers benefits that help you feel supported—and thrive at work and in life. The below benefits are for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend 📚 Growth: $2,000 learning stipend, ongoing development 💻 Remote & Office: Internet, commuting, and free lunch/gym in our SF office 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days 🤝 Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Compensation Range: $350K - $420K

Job DescriptionWhy You Should Join the E3 Team When you join the E3 team, you will be working on some of the most important energy issues with some of the top minds in the industry. We help shape energy and climate policy, play vital roles in regulatory proceedings, advise executives, and inform investment and planning selections. At E3, you will be challenged and inspired. Who We Are Founded in 1989, Energy + Environmental Economics (E3) is a growing energy consulting firm that helps utilities, regulators, policy makers, developers, and investors make the most educated strategic decisions possible as they implement new public policies, deploy and develop new technologies, and address customers’ shifting expectations. We have offices in San Francisco, New York City, Boston, Denver, and Calgary. Because E3 works with customers from all sectors of the electricity industry, we provide a 360-degree knowledge of markets, planning, policy, regulation, and environmental factors. Just as important, we are driven to deliver clear, unbiased evaluations that help customers make informed decisions. E3 works on high-profile, high-impact projects in jurisdictions that spearhead the implementation of clean energy policy. In California, Hawai’i, and New York, we are advising state agencies and regulators about how to implement clean energy policies with an emphasis on customer incentives and markets. About You We look for people who combine strong analytical dexterity and/or policy experience with integrity and a passion for energy. Our Consultants love to examine, research, and offer creative solutions to some of the most elaborate and important energy issues of the day. You bring curiosity, thrive in a rigorous and quantitative solution-finding environment, take a proactive approach to assist the team, and are practiced at clearly presenting information to a variety of stakeholders. We seek those that are inquisitive and look at all sides of an issue to make informed recommendations with confidence and clarity. You pride yourself in your attention to detail and your organizational techniques help you create and actualize work plans that are efficient while delivering an elevated level of guidance to serve our customers. Things that set you apart: • Assist the delivery of customer work through modeling, developing presentations, writing and preparing entire subsections of reports and papers, and helping with additional customer requests, • Conduct independent research using your ingenuity and curiosity to make reasonable assumptions and produce appropriate solutions, at times with incomplete information., • Fulfill end-to-end internal project obligations, • Deliver sections of presentations to customers and reply to questions, • Tackles elaborate analytical tasks, • Apply core QA/QC best practices, • Develop aptitude in using a flagship modeling tool, gathering relevant data, and vetting results, • Assist in proposal writing as needed, • Translate results of research and evaluations into clear visual representations, • Aid project heads in the creation or editing of spreadsheets to be "client-ready,” including developing tools for customer solutions, • Make modifications to existing tools and models to improve functionality and/or efficiency, • Proactively track actual performance of own work performed against the established plan, with ongoing communication with the Director or Manager, • Capture project learnings and repeatable products and work samples for future use according to knowledge management processes, • Assist with internal initiatives as needed Requirements, • Master’s degree or PhD in engineering, economics, computer science, public policy, or related field, • 3-5+ years of related experience in an energy-related field, • Prior experience specifically addressing renewable energy and climate change issues and/or demonstrated advanced-level academic related project work, • Demonstrated hands-on experience, academic project work, or extensive knowledge in or related to one of our Practice Areas: Climate Pathways and Electrification, Asset Valuation, Transmission, and Markets, and Integrated System Planning, • You work collaboratively and help each member of your team to do their finest work, aware that each brings different experiences to the table, • You find joy in translating technical concepts to broader audiences, • You take ownership of your work, proactively seeking out answers to questions and enjoy finding creative solutions to issues you encounter, • Aptitude to write and communicate clearly, • Passionate about the transition to a low-carbon economy, • Demonstrated success guiding ideas, people, and projects, • Strong organizational and time management techniques, • High fluency in Microsoft Excel and PowerPoint; programming knowledge and experience are also valued