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Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. _. Position SummaryThe Principal Systems Engineer (Technical SME) provides senior technical leadership for U.S. Department of War and Federal wireless communications, networking, and sensing solutions. This role requires deep expertise in DoW network/communications CONOPS and mission needs, software-defined RF systems, AI/ML-enabled wireless networks, adaptive networking, and integrated communications and sensing. • Serve as principal technical authority for wireless communications, networking, and integrated communications and sensing architectures., • Primary technical support for Federal/DoW customer engagements, • Lead customer RFP technical responses and capability white papers, • Shape strategy for O-RAN–based 5G/6G, distributed sensing, and cognitive EMSO operations., • Architect software-defined RF systems integrating communications, networking, and sensing., • Design AI-driven (O-RAN RIC and applications) resilient wireless networks with adaptive resource management., • Lead solutioning, architecture, and design of multi-waveform radios, waveforms, and SDN-enabled architectures., • Conduct modeling, simulation, and performance assessments., • Advise DoW and Federal leaders on communications, networking, and sensing architectures., • Lead technical exchanges, CONOPS development, and capability road mapping., • Provide technical leadership for captures, proposals, and complex programs as Chief Engineer or Technical Lead., • Master’s or PhD in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)., • 10+ years of experience in wireless (tactical and cellular) dual-use communications, networking, sensing, or cognitive systems., • System-level expertise in software-defined radio (SDR), software-defined networking (SDN/SD-WAN), and virtualized networks., • Expertise in RF communications, mesh networking, and integrated communications/sensing., • Experience with 5G/6G, O-RAN, tactical radios, and multi-domain MANET/mesh networks., • Knowledge of RF sensing, EW awareness, and spectrum operations., • Experience with DoW, NATO, and joint interoperability architectures (e.g., CMOSS, 3U-VPX)., • Knowledge of DoW and Federal communications requirements and network modernization efforts., • US citizen with the ability to obtain and maintain US security clearance., • Ability to obtain and maintain a U.S. Government security clearance, as required for the role., • Currently holding an active U.S. Secret clearance or Top Secret clearance., • Patents, Publications and standards contributions, • Prior experience as Chief Engineer, Technical Director, or Technical Fellow.Equal Employment Opportunity & AccommodationsWe are an Equal Opportunity Employer and consider applicants without regard to legally protected characteristics. If you need a reasonable accommodation to apply or interview, please let us know. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom more at.Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification _ Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Content Products team, within the BizTech organization, delivers the technology that empowers Airbnb’s knowledge culture, drives connection, and scales support for employees and the Airbnb community. Our platforms power Guest and Host support experiences in the Airbnb Help Center and Resource Center, the Knowledge Center for our support ambassadors, and One Airbnb for employees. The Difference You Will Make: As a Senior Systems Engineer on the Content Products team, you will build the systems that power content management at Airbnb: advanced authoring capabilities, frictionless content workflows, analytics that improve content quality, auditing that meets compliance requirements, and AI-assisted experiences for writers. You will own major projects that span multiple workstreams and often arrive loosely defined, and you may lead a small pod of two to three engineers to deliver them. You will partner with product, engineering, and content teams across Airbnb to meet the evolving needs of everyone who creates, manages, and delivers content. A Typical Day: • Deliver major projects end to end. Take end-to-end accountability across the software development lifecycle on projects that span multiple workstreams — breaking the work down, building the plan, and leading a small engineering pod where the project calls for it., • Partner with content teams. Map and improve authoring workflows alongside content, product, and engineering partners; translate them into technical requirements; and deliver the capabilities that follow, including reporting, product integrations, and AI-assisted authoring and editing features., • Own the authoring platform. Share the technical ownership of Contentstack, our enterprise headless CMS, with our engineering team — extending it with custom UI extensions and authoring apps in React that follow Airbnb’s Design Language System, building the integrations that bring structured taxonomy and knowledge graph capabilities to our support and knowledge surfaces, and improving content organization, security, and discoverability through taxonomies, controlled vocabularies, and metadata standards., • Design for the system “-ilities.” Design systems that satisfy both functional requirements and the -ilities — reliability, security, maintainability, observability. Identify and design for potential failure modes, participate actively in incident response, and implement corrective actions that reach beyond the immediate fix., • Raise the technical bar. Identify and deprecate or improve low-quality code, services, and frameworks, and plan quality improvements into the team’s roadmap rather than around it. Give constructive input in technical design and code review that helps shape the team’s direction., • Write the thinking down. Document technical solutions clearly, surfacing the benefits, risks, and tradeoffs you considered — then seek out and incorporate peer review and feedback on your designs. Analyze data, form hypotheses, experiment, learn, and iterate to improve Airbnb’s content authoring and delivery experience., • Grow the people around you. Coach and mentor engineers inside and outside the team, give timely and actionable feedback, help onboard and integrate new team members, and contribute to interviewing and to Airbnb’s broader technical community., • Work in an agent-assisted development loop. Direct AI agents to explore unfamiliar systems, prototype solutions, generate and review code, and validate changes — while staying accountable for correctness and quality Your Expertise: • 5+ years designing and implementing complex systems end to end in integrated enterprise environments, • Proven experience building and maintaining custom author-facing tools, workflows, automations, and integrations in an enterprise headless CMS (Contentstack preferred), • A track record of owning delivery on projects that span multiple workstreams, including work that began without a clear definition, • Depth in front-end and back-end development, preferably with TypeScript, React, and Node.js, • Strong working knowledge of large-scale content data analysis, bulk updates, and reporting, including processing large volumes of data efficiently, • Demonstrated ability to build and operate high-performance, scalable, and fault-tolerant internal tooling, and to design for failure modes and operational requirements, • Fluency with agentic development workflows: comfortable directing AI agents to explore, prototype, implement, and review, with sound judgment about when to trust and when to verify their output, • Clear technical writing — design documents that make benefits, risks, and tradeoffs explicit — and a habit of seeking peer review, • Experience mentoring engineers and giving actionable feedback, • Comfortable navigating ambiguity and helping shape problem definitions, • Ability to drive alignment, manage projects, and collaborate effectively with technical and non-technical stakeholders, • Experience working with structured data in enterprise taxonomy or knowledge graph platforms, • Familiarity with architectural patterns of large, high-scale web applications, such as well-designed APIs, high-volume data pipelines, and efficient algorithms, • Experience with modern reporting or analytics platforms such as Tableau or Grafana, • BS, MS, or PhD in Computer Science or a related field Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. _ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: _. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Equal Employment Opportunity: Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

biological data analysisscientific reading comprehensionassessment and question creationwritten and verbal communicationremote team collaborationmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Biology Expert Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: • Analyze, review, and interpret complex biological documents, research papers, and data sets to create high-quality assessment content., • Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis., • Deliver clear explanations and detailed feedback to enhance AI model understanding., • Collaborate with a remote, interdisciplinary team to ensure ongoing content accuracy and quality., • Contribute domain-specific expertise to support the continuous improvement of AI systems., • Work independently to meet deadlines and achieve high productivity with minimal supervision., • Uphold rigorous standards for written and verbal communication in English. Required Skills and Qualifications: • Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or relevant industry roles., • Demonstrated ability to analyze and synthesize complex biological information from diverse sources., • Strong written and verbal English communication, with an emphasis on clarity and detail., • Excellent reading comprehension, particularly in interpreting research and technical documents., • Experience creating or reviewing problem sets, assessments, or scientific analyses., • Ability to work autonomously and efficiently in a remote environment., • High attention to detail and commitment to quality. Preferred Qualifications: • Advanced degree (Master’s or PhD) in Biology or closely related field., • Experience collaborating with multidisciplinary teams or involvement in cross-functional projects., • Familiarity with computational biology or data analysis tools.

A top-tier global trading firm is building out its post-training research. The mandate is to take large pretrained models and adapt them to financial markets. Those models have to deal with noisy data, distributions that shift daily, and competitors who adapt to any edge. They also have to run within tight latency budgets. Performance is measured against real market outcomes rather than benchmarks or human raters. The firm trades at a scale few can match, so small model improvements have a measurable effect within days. You will join a small group of researchers whose work goes straight into production. THE ROLE: • Fine-tune, distil and align large models for domain-specific tasks, • Build evaluation that measures what matters, not what is easy to measure, • Quantize, prune and optimize inference where latency carries a direct cost, • Write and profile custom GPU kernels when standard ops become the bottleneck, • Take research into production with engineering and trading teams STACK: • Python: PyTorch, JAX, NumPy, Polars, • GPU: CUDA, Triton, Nsight, NCCL, • C++17/20, pybind11, • FSDP, DeepSpeed or Megatron-style parallelism REQUIRED: • A degree in a quantitative field from a leading university, with a minimum GPA of 3.5/4.0, • Industry experience in ML roles, with hands-on post-training work, • Production-quality Python and C++, • GPU knowledge below the API: memory hierarchy, occupancy, and how to diagnose a slow kernel, • Eligibility to work in the US PREFERRED: • A PhD or Master's in machine learning, computer science, mathematics, statistics or physics, • Leadership experience within ML roles, such as technical lead, mentoring or owning a workstream HOW YOU WORK: • You start on problems without waiting to be asked, and you know when to bring in your lead, • You treat feedback as data and change course when it is right, • You want to be the least experienced person in the room some days, because that is where the learning is PRE APPLICATION: • Please do not apply if you're looking for a contract or remote work., • You must be eligible to live and work in the US, without requiring sponsorship., • Please ensure you meet the required experience section prior to applying., • Allow 1-5 working days for a response to any job enquiry., • Your application is subject to our privacy policy (_).

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains - from doctors and lawyers to physicists and engineers - and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. About position The Principal AI Solutions Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role. You will design and build the data-generation, labeling, and evaluation pipelines that power the next generation of AI models. Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants. Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership • Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership., • Lead executive conversations using a structured, answer-first (BLUF) approach., • Manage escalations and expectations with composure and integrity., • Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis • Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it., • Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) • Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation., • Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production., • Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership • Own delivery end to end - timelines, quality, and scalability - and the commercial outcome: Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described., • Identify and drive expansion opportunities. About You • Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure., • Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions., • Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions., • Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus., • Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies., • Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage., • Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have • Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models)., • Advanced degree (MSc/PhD) in AI, CS, or a related field., • Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer • Full-time independent contractor engagement (B2B) through the _ contractor platform, working via your own company or business entity;, • Flexible, fully remote schedule (40 hours per week);, • Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts;, • Projects with customers that are AI industry leaders and well-known household names;, • Friendly community. To learn how we collect, use, disclose, and store personal data, check out our _.

Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. Generate, review, and refine questions and solutions based on real-world me

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job Description About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale. You'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution. Responsibilities:Strategic Vision & Product Partnership • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes, • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities, • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems, • Translate complex product challenges into clear data science problems with measurable success criteria, • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration, • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.Team Leadership & Development, • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems, • Foster a culture of innovation, experimentation, and continuous learning within the data science organization, • Create career development pathways that attract and retain top data science talent, • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoringAdvanced Analytics & ML Capabilities, • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey, • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning, • Develop causal inference methodologies to understand true incrementality of product changes., • Ensure models are observable, explainable where needed, and continuously improved post-launchProduct Measurement & Impact, • Define product success metrics and measurement frameworks that align with business objectives, • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance, • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimizationQualifications:, • 10+ years of experience in data science, with at least 5 years in leadership roles managing data scientists or ML engineers, • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling, • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor, • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives, • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical, • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy, • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow), • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)Preferred requirements:, • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, • Experience with real-time ML systems and feature stores, • Background in recommendation systems or two-tower/multi-modal embeddings, • Familiarity with generative AI and LLM applications in product contexts, • Experience building data science teams from scratch or through periods of rapid growth, • Prior work in subscription businesses or retention-focused products, • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)What Success Looks Like, • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership, • 12 months: Scaled the product data science function with key hires; delivered measurable improvements in personalization and customer engagement metrics; implemented robust experimentation frameworks used across product teamsLearn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits ???? Health Insurance coverage ???? 401k Plan ???? We grow, you grow: Stock Options Plan granted on Day 1 ???? Eligible for a bi-annual performance bonus ⛱ Unlimited PTO ????️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical ???? Paid Family leave ???? Compassionate Leave: 3-5 days each time the need arises ???? A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ????????️‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle ???? AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster. ????????️‍???? Personalized Spanish coach ???? Awesome opportunity to join a company that is looking to change how we eat and how chefs work! CompensationAll final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $240,000—$270,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS., • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Job Description Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system that captures solar energy, stores it as heat, and generates electricity on demand. Founded in 2023 and backed by leading investors including Andreessen Horowitz, Sam Altman, and Felicis, we're committed to providing clean, modular, and scalable power that meets the rapidly growing demands of AI infrastructure. Our mission is to make sustainable renewable energy always available and almost free, enabling technological advancement while protecting our planet. We are seeking an exceptional Lead Materials Engineer with deep research expertise to spearhead materials innovation for our revolutionary thermal energy storage technology. This role demands a PhD-level researcher who thrives on solving complex, multi-physics materials challenges that push the boundaries of what's possible in renewable energy. This position is based in Miami, FL. If selected, relocation to Miami, FL is required. Exowatt provides relocation assistance. What You'll Do: • Advanced Materials Research & Development:, • Lead cutting-edge research into high-temperature thermal storage materials, optical concentrators, and heat engine components operating in extreme thermal cycling conditions, • Develop novel material compositions and processing techniques for our proprietary sensible heat battery technology that must withstand temperatures exceeding 1000°ree;C, • Conduct fundamental research into thermal conductivity, heat capacity, thermal expansion, and long-term stability of advanced ceramics, refractory metals, and composite materials, • Cross-Disciplinary Innovation:, • Collaborate with our world-class team of mechanical, thermal, and optical engineers to solve complex multi-physics problems at the intersection of materials science, thermodynamics, and optics, • Lead materials selection and optimization for our Fresnel lens systems, requiring expertise in optical materials, coatings, and durability under concentrated solar radiation, • Drive materials innovation for heat engine components (Stirling engines) requiring expertise in high-temperature alloys, tribology, and fatigue resistance, • Advanced Characterization & Analysis:, • Design and execute sophisticated materials testing protocols using advanced characterization techniques (XRD, SEM/TEM, DSC/TGA, mechanical testing, thermal cycling), • Perform failure analysis and root cause investigations to continuously improve material performance and system reliability, • Develop predictive models for material behavior under extreme thermal and mechanical loading conditions, • Strategic Materials Engineering:, • Lead materials cost optimization initiatives while maintaining performance requirements—balancing advanced material properties with manufacturability and scalability, • Establish strategic partnerships with materials suppliers and research institutions to advance next-generation thermal storage materials, • Drive intellectual property development through patents and publications in high-impact journals, • Technical Leadership:, • Mentor junior engineers and technicians in advanced materials characterization and testing methodologies, • Create comprehensive technical documentation including research reports, material specifications, testing protocols, and manufacturing guidelines, • Present research findings to executive leadership, investors, and at prestigious industry conferences Required Experience, • Research Excellence:, • PhD in Materials Science, Chemical Engineering, Mechanical Engineering, or related field with demonstrated expertise in high-temperature materials, thermal energy storage, or related advanced materials systems, • Minimum 5 years of deep research experience in materials engineering, with preference for renewable energy, aerospace, concentrated solar power, or advanced energy storage industries, • Proven track record of breakthrough research evidenced by high-impact publications, patents, and successful technology transitions from lab to commercial applications, • Technical Expertise:, • Extensive hands-on experience with advanced materials including high-temperature ceramics, refractory alloys, optical materials, thermal barrier coatings, and phase change materials, • Deep understanding of materials thermodynamics, kinetics, and processing methods (powder metallurgy, additive manufacturing, thin film deposition, crystal growth), • Expertise in advanced characterization techniques and statistical analysis of materials data, • Experience with computational materials science tools (DFT, molecular dynamics, finite element modeling), • Industry Impact:, • Demonstrated success in translating research into commercially viable materials solutions, • Experience working in fast-paced, high-growth technology companies or leading research institutions, • Track record of cross-functional collaboration in complex engineering systemsWhat We Offer: Competitive salary and equity options. Comprehensive benefits package, including health, dental, and retirement plans. A dynamic and inclusive work environment that fosters creativity and innovation. Opportunities for professional growth and development in a rapidly evolving industry. Relocation assistance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionMaterials Science Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Materials Science Expert to support an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. You'll solve, validate, and review materials-engineering tasks and create reproducible, programmatic solutions. No prior AI experience is required. Key Responsibilities • Solve and validate computational materials science problems., • Build material structures, compositions, and simulation inputs., • Run and analyze atomistic, electronic, molecular-dynamics, continuum, or electrochemical simulations., • Use Python to automate simulations, parameter sweeps, and data analysis., • Analyze mechanical, thermal, electrical, chemical, and structural properties., • Diagnose convergence, numerical, modeling, and physical-assumption issues., • Compare results with experiments, literature, and expected physical trends., • Review AI-generated solutions and develop reliable reference solutions.Required Skills, • Materials Science & Engineering, • Computational Materials Modeling, • Materials Simulation & Analysis, • Python, • Scientific Computing, • Structure–Property Relationships, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingTools Experience with tools such as LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM, or equivalent CLI/API-based software. Familiarity with NumPy, SciPy, pandas, Matplotlib, or Jupyter is beneficial. Qualifications • MS/PhD in Materials Science, Metallurgy, or related field; or Mechanical/Chemical Engineering with strong materials specialization., • Experience in computational materials modeling, simulation, characterization, or materials R&D., • Strong Python and programmatic engineering-tool experience., • Ability to explain modeling assumptions, validate results, and distinguish computational errors from physical behavior.

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

Job DescriptionJob Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance., • Develop, optimize, and evaluate prompts to improve AI model performance., • Conduct rubric-based assessments of AI outputs and provide structured feedback., • Perform independent research and fact-checking to validate technical information., • Annotate data and support quality assurance initiatives for AI training., • Interpret complex datasets and prepare clear technical reports and summaries., • Collaborate remotely with project teams to improve AI models and workflows.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical Documentation, • Technical & Report Writing, • Content Review & Editing, • Data Annotation, • Data Interpretation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics., • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations., • Strong analytical reasoning, critical thinking, and written communication skills., • Experience with data annotation, content review, or rubric-based evaluation is preferred., • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus., • Master's, MBA, PhD, or other advanced degree is preferred.

Job DescriptionJob Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated business content, helping enhance the quality, accuracy, and reasoning of AI outputs. No prior AI experience is required—your consulting expertise, analytical thinking, and communication skills are what matter most. Key Responsibilities • Evaluate and refine AI-generated responses for accuracy, clarity, and alignment with business objectives., • Author, review, and enhance strategy reports, market analyses, business cases, executive summaries, and technical documentation., • Develop, refine, and evaluate prompts for AI models., • Conduct quality assurance and rubric-based evaluations of AI-generated outputs., • Annotate data, interpret findings, and perform fact-checking to ensure high-quality content., • Provide actionable feedback and recommendations to improve AI model performance., • Collaborate remotely with project teams to support continuous AI improvement.Required Skills, • Critical Thinking, • Analytical Reasoning, • Prompt Engineering, • AI Output Evaluation, • Quality Assurance, • Technical & Report Writing, • Business Communication, • Content Review & Editing, • Data Interpretation, • Data Annotation, • Fact Checking, • Independent Research, • Problem-Solving, • Attention to DetailPreferred Qualifications, • 3+ years of experience in strategy consulting, management consulting, corporate strategy, business transformation, or operations., • Experience preparing strategy reports, business cases, market analyses, client presentations, or executive recommendations., • Strong professional writing, business communication, and technical editing skills., • Excellent critical thinking, analytical reasoning, and structured problem-solving abilities., • Bachelor's degree or equivalent professional experience required; an advanced degree (Master's, MBA, JD, or PhD) is a plus., • Candidates with strong academic or professional achievements are encouraged to apply

Job DescriptionJob Title: AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most. Key Responsibilities Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance. Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making. Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria. Author and review investment memos, due diligence reports, research summaries, and technical documentation. Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards. Conduct independent research and fact-checking to validate financial information. Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills Critical Thinking Analytical Reasoning Quality Assurance Prompt Engineering AI Output Evaluation Financial Analysis Technical & Report Writing Business Communication Content Review & Editing Fact Checking Data Interpretation Data Annotation Problem-Solving Independent Research Attention to Detail Preferred Qualifications Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance. Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research. Strong analytical, critical thinking, and problem-solving skills. Excellent written communication and professional editing abilities. Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus. Master's, MBA, JD, PhD, or another advanced degree is preferred. Commitment to producing high-quality, accurate, and well-documented work.

We are looking for versatile engineers to shape core components of the next generation of the. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. MS/PhD in robotics, Computer science,

Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean. 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

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. Excellent software engineering fundamentals: OOP, design

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred.

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. Excellent software engineering fundamentals: OOP, design

Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean. 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

Degree in STEM (BSc, MSc, or PhD) with at least 5 years of software engineering experience.

Solid experience in GTM engineering, growth engineering, or RevOps role with a heavy technical lean. We're hiring our first GTM Engineer for SIMBA. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford,

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world. At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in. Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You'll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you'll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what's next fast. This role: AI/Sharks is SharkNinja's AI-native early talent program, and the co-op experience is built differently on purpose. This five-and-a-half-month immersive rotation gives co-ops the opportunity to work on real business problems, build production-ready AI solutions, and contribute to initiatives that create measurable impact across the company. From week one, co-ops are embedded directly into live SharkNinja projects with real ownership, real deliverables, and direct partnership with technical and business leaders. There are no simulations, shadow projects, or busy work. Participants are expected to help build and scale solutions that support SharkNinja's broader AI transformation strategy. Co-ops partner closely with teams across the business to leverage AI and analytics to turn data into actionable insights and drive smarter decision-making. The experience sits within SharkNinja's Jailbreak AI initiative, a company-wide movement backed by $1M in innovation awards, giving participants direct exposure to real AI deployments and enterprise-scale innovation efforts. The program is designed for builders with experience in software engineering, AI/ML, full-stack development, automation, or data analytics who want hands-on experience in a fast-moving environment. Co-ops receive access to the same tools used across SharkNinja, including Claude Enterprise and a personal AWS sandbox, along with exposure to executives, AI founders, and company-wide innovation initiatives like Jailbreak EDU and the $1M AI Awards. Participants are also fully integrated into Early Edge programming for mentorship, networking, and professional development. Because of the extended nature of the co-op experience, participants are able to take projects further, build deeper relationships across the organization, and contribute to work with lasting visibility and impact. Top performers have pathways to return offers or full-time opportunities, and every participant leaves with a SharkByte AI Certification tied directly to the work they shipped and the impact they delivered. Here are some of the EXCITING things you'll get to do: • Own the end-to-end scoping, analysis, and delivery of a defined business problem from data gathering through insight communication, • Design, iterate, and document AI prompts and workflows; take ownership of data preparation pipelines for assigned projects, • Build and maintain dashboards, reports, or models that are actively used by internal teams with full accountability for quality and accuracy, • Identify trends, patterns, and insights within datasets and translate them into actionable recommendations, • Use AI tools to improve efficiency and automate analytical workflows, • Develop and test agentic workflow prototypes that reduce manual effort on high-friction business processes, • Present findings and recommendations directly to team leads and business stakeholders, • Identify data gaps or inconsistencies and propose solutions, not just flag them Our ideal builders will have the following attributes & skills: • Education: Current student in a related bachelor's or master's or PhD program or has graduated from such a program within the past year, • Must be able to work a full-time, 40-hour-per-week schedule with a minimum of 3 days per week onsite in either Needham, MA, Miami, FL, or New York, NY, • Experience with data visualization tools (Tableau, Power BI, Looker, or similar), • Demonstrated experience building with AI (LLMs, automation workflows, agent frameworks, or prompt engineering) with examples you can speak to, • Experience working with real-world or messy datasets, • Working knowledge of SQL, Python, or similar tools through coursework or projects, • Ability to approach problems in a structured and logical way, • Interest in consumer products, retail, or e-commerce, • Embodies SharkNinja's Success Drivers:, • Rarely Satisfied Adopt a 'no delays' mentality in delivering against market needs/timing, • Progress over Perfection Make quick, daily progress and continuously adapt to achieve results rather than requiring perfect planning, • Details Make the Difference Brings rigor to data preparation, model assumptions, and analytical outputs; understands that the quality of an AI output is only as good as the quality of the input, • Winning is a Team Sport Ability to develop strong cross-functional relationships, • Communicate for Impact Strong communication skills; ability to deliver effective presentations to all levels of management This evergreen job post is for upcoming Applied AI & Analytics Co-op at SharkNinja. We're continuously seeking exceptional candidates who aspire to make a positive impact on people's lives. Your application will be thoroughly reviewed for potential future opportunities within our team. We encourage you to explore all relevant current openings and apply accordingly. Salary and Other Compensation: The hourly salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, health savings account (HSA) with company contribution, sick time, company holidays, employee product discount, product testing opportunities, referral bonuses, and more. Hourly Pay Range $26 - $35 USD At SharkNinja, we don't just raise the barwe push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a companyyou're part of an outrageously extraordinary community. Together, we won't just launch productswe'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice • For candidates based in all regions, please refer to this Candidate Privacy Notice., • For candidates based in China, please refer to this Candidate Privacy Notice., • For candidates based in Vietnam, please refer to this Candidate Privacy Notice. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. • We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options, • Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies, • Build and maintain tools and systems used throughout the quantitative research and portfolio management processes, • PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline, • 2-8 years' experience in quantitative research and/or quantitative development for systematic strategies, • Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms, • Working knowledge of Linux, • Strong problem-solving abilities, • Strong moral integrity and work ethic, • Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, three personal days, and ten sick days., • Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code, • Training: learning and development courses, speakers, team-building off-site, • Employee resource groups WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $150,000 $200,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

Job DescriptionCircuit Design Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Circuit Design Expert to support an AI training project involving electronic hardware, circuit design, simulation, verification, EDA workflows, and Python. You'll design, analyze, validate, and review real-world circuit solutions. No prior AI experience is required. Key Responsibilities • Design and analyze analog, digital, power, mixed-signal, or RF circuits., • Translate requirements into schematics, netlists, HDL, models, and simulation inputs., • Run simulation, synthesis, and verification workflows using CLI/programmatic tools., • Use Python to automate simulations, parameter sweeps, and result analysis., • Evaluate voltage, current, power, gain, bandwidth, noise, timing, stability, and related outputs., • Diagnose component, parasitic, layout, signal/power integrity, thermal, and manufacturing issues., • Compare simulations with analytical calculations and hardware measurements., • Review AI-generated circuit solutions and create reproducible reference solutions.Required Skills, • Circuit Design & Analysis, • Analog/Digital/Mixed-Signal/RF Design, • Circuit Simulation & Verification, • EDA & CLI-Based Workflows, • Python, • Hardware Debugging & Validation, • Signal & Power Integrity, • Technical Problem-SolvingTools Experience with ngspice, Xyce, Yosys, Verilator, KiCad, SPICE simulators, HDL tools, or equivalent programmatic EDA software. Python tools such as PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, or similar are beneficial. Qualifications • MS/PhD in Electrical Engineering or related field, or BS in Electrical Engineering with 1–2+ years of professional circuit-design experience., • Proven experience designing circuits that were fabricated, integrated, shipped, or taped out., • Strong Python and programmatic EDA/tool experience., • Experience with hardware bring-up, laboratory validation, design verification, or post-fabrication debugging., • Ability to explain circuit behavior, assumptions, and design trade-offs clearly.Process Application ~30-minute AI interview Technical assessment (if required) Hiring manager review. Compensation & Start Output-based compensation is paid per approved task. Selected experts are expected to start their first task within 24–48 hours of onboarding.

Job DescriptionJob Title: Technical Problem Author – Engineering Role Type: Contractor Location: Remote Job Overview We are seeking experienced Engineering Technical Problem Authors to contribute their technical expertise to a project focused on advancing next-generation AI systems in engineering. In this role, you will create and evaluate challenging, real-world technical problems and assess AI-generated engineering responses for accuracy, rigor, and practical relevance. Your engineering knowledge will help improve how AI systems reason through complex technical problems, apply engineering principles, and communicate technically sound solutions. No prior AI experience is required—your domain expertise and technical judgment are what matter most. Scope of Work • Author and evaluate advanced technical problems across areas such as Aerodynamics, Materials Science, CAD/Mechanical Design, Mechanical Engineering, Circuit Design, and related disciplines., • Review AI-generated technical responses for correctness, engineering accuracy, completeness, and practical relevance., • Apply engineering judgment to real-world design, analysis, troubleshooting, and failure scenarios as well as theoretical problem contexts., • Analyze complex technical issues, identify ambiguities, and recommend clarifications to problem statements, assumptions, and conditions., • Develop technically rigorous problems that test analytical reasoning, engineering principles, calculations, and design judgment., • Provide structured written feedback and clear explanations to improve AI-generated technical reasoning., • Collaborate remotely with technical experts and project participants to maintain high-quality deliverables., • Document technical insights, identified weaknesses, and recommendations to support continuous improvement of AI models and problem sets.Required Skills, • Mechanical Engineering, • Aerodynamics, • AutoCAD, • Technical Problem Authoring, • Engineering Analysis, • Technical Documentation, • Analytical Reasoning, • Technical Review & Validation, • Written and Verbal CommunicationPreferred Qualifications, • Advanced degree (MS or PhD) in a relevant engineering discipline, or substantial professional industry experience., • At least 5 years of hands-on technical experience in a relevant engineering field; deeper experience is preferred for Aerodynamics, Circuit Design, and Mechanical Engineering roles., • Demonstrated experience creating technically rigorous problems, such as through academic examinations, engineering competitions, licensure exams, standards committees, or technical assessment programs., • Experience with technical publications, patents, industry awards, competition results, committee participation, or other evidence of recognized technical expertise., • Professional-level English proficiency with excellent written and verbal communication skills., • Familiarity with industry-standard engineering tools such as AutoCAD, CAD software, CFD/FEA platforms, EDA tools, simulation software, or laboratory equipment relevant to your specialty., • Ability to work independently and remotely while consistently delivering high-quality technical content within project timelines.Compensation Structure Compensation is output-based, with experts paid per task that meets the applicable project specifications and quality standards. The time required to complete each task may vary depending on the expert's experience and workflow. Minimum submission requirements apply, and selected experts are expected to complete a minimum number of tasks per week. Start Timeline & Availability Roles are typically filled within 48 hours. Selected experts should be prepared to begin their first assignments within 24–48 hours of completing onboarding. If you are an experienced engineer with strong technical judgment and a passion for creating rigorous engineering problems, this is an opportunity to apply your expertise to the development of advanced AI systems.

QualificationsRequiredMS/PhD (or equivalent experience) in Computer Science, Statistics, Data Science, or a related field. You will partner closely with Product, Engineering, Fraud Operations, and Data Science to build production ML models, generate actionable insights, and develop scalable evaluati

You HaveMS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science). Job DescriptionAre you passionate about data science?

Job DescriptionMechanical Engineering Expert Role Type: Contractor Location: Global, Fully Remote Schedule: ~15 hours/week, flexible About the Role We're seeking a Mechanical Engineering Expert to support an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python. You'll solve, validate, and review structural, thermal, mechanical, and multiphysics engineering tasks. No prior AI experience is required. Key Responsibilities • Solve and validate mechanical engineering problems involving design, analysis, simulation, and testing., • Translate engineering requirements into analytical and computational models., • Create and modify geometry, meshes, materials, loads, constraints, and solver inputs., • Perform structural, thermal, dynamic, fatigue, buckling, and vibration analyses., • Use Python to automate simulations, parameter sweeps, optimization, and post-processing., • Analyze stress, strain, displacement, temperature, deformation, frequency response, and safety factors., • Diagnose geometry, mesh, convergence, boundary-condition, and modeling issues., • Compare simulation results with calculations, experiments, and expected physical behavior., • Review AI-generated engineering solutions and develop reproducible reference solutions.Required Skills, • Mechanical Engineering & Applied Mechanics, • Engineering Design & Analysis, • Structural & Thermal Analysis, • Computational Modeling & Simulation, • Python, • CAD, Meshing & Simulation, • Numerical Validation & Troubleshooting, • Technical Problem-SolvingTools Experience with CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or equivalent CLI/programmatic engineering tools. Python tools such as NumPy, SciPy, SymPy, pandas, Matplotlib, and Jupyter are beneficial. Qualifications • MS/PhD in Mechanical Engineering or related discipline, or BS in Mechanical Engineering with 1–2+ years of relevant professional experience., • Strong mechanical-engineering fundamentals and simulation experience., • Practical Python and programmatic engineering-tool experience., • Ability to select and justify materials, loads, boundary conditions, assumptions, and model fidelity., • Ability to validate results and clearly explain engineering decisions and trade-offs.Process Application ~30-minute AI interview Technical assessment (if required) Hiring manager review.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Mathematics PhD Coding Experts Type: Contract Compensation: $70/hour Location: Remote Duration: 6 weeks Commitment: 20+ hours/week Role Responsibilities • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios., • Write scientific prompts based on sourced inputs., • Build grading criteria to define correct answers., • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed., • Work independently and asynchronously to meet deadlines while improving AI model performance. Qualifications Must-Have • PhD in mathematics, applied mathematics, computational mathematics, or a closely related field., • Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance., • Working proficiency in Python for scientific computing., • Comfortable with Git/GitHub and running code in Docker. Preferred • Publications in peer-reviewed journals., • Prior scientific software or research engineering experience. Start Date • Immediate Interview Process • Upload your resume and application form., • A 25-minute conversational interview covering your background, experience, and motivations., • Follow up within a few days with next steps and onboarding. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor

Job Description About One Park Financial One Park Financial, a leading provider of financing solutions for small and mid-sized businesses, has been consistently recognized as a top workplace for seven consecutive years, earning both the Best Place to Work and Sun Sentinel's Top Places to Work awards. As a fast-paced and innovative financial services company, we take immense pride in disrupting the industry and positively impacting the lives of business owners nationwide. At One Park Financial, excellence and results are celebrated, and your skills and passion will be recognized and rewarded, providing opportunities for both professional and personal growth. About the VP of Credit & Business Intelligence Reporting directly to the SVP of Credit & Analytics, the successful candidate will oversee the Credit Policy & Analytics function for small business financing and emerging embedded finance products. This pivotal role aims to empower small businesses by managing the risk appetite through advanced decisioning models, growth strategies, reporting, and analytics vital to the organization. Requirements Job Responsibilities • Own Credit Policy & Analytics across the organization – Credit Origination, Account Management, Portfolio monitoring, Collections and Loss/Growth Forecasting., • Lead development, validation and implementation of advanced AI/ML models and strategies to expand small business access to finance, taking intelligent risks., • Develop and maintain the key portfolio KPIs and inventory of periodic analysis to continuously identify risk and growth opportunities., • Support effective challenge of Business Operations through Data & Data Science based Business Intelligence rhythms., • Partner with Product, Engineering and Operations to productionize strategies in decision engines, while ensuring data quality, monitoring and controls., • Leverage Open Banking (Plaid), Credit (Commercial & Personal), Business Identity, Fraud and validation sources to evaluate improvements in our Credit strategy and merchant experience., • Identify areas to reshape user flows, reduce customer friction and optimize the credit funnel., • Manage Analytics infrastructure needs for proactive highlighting of issues that need to be addressed and prioritized in the organization., • Manage Executive discussions on Analytics prioritization for the most pressing business needs., • Coach, Mentor and Develop the Analytics team to turn into effective Credit & Business Intelligence champions and credit policy owners. Job Requirements • 8-10 years of credit and/or analytics experience at Fintechs or Credit institutions, with 3+ years of direct merchant / SMB risk experience preferred., • Deep knowledge of underwriting using bank & cash-flow analysis, bureau & alternate data, bureaus etc. with a focus on unsecured credit risk., • 5+ years of leading teams (data science, analytics, risk policy) and scaling analytics functions at a growing organization., • Proven track record of implementing business intelligence-based optimization strategies (reporting & alerting) with P&L impact., • Fluency in SQL and Python or R; experience with BI tools (PowerBI/Tableau) and cloud data platforms (Snowflake/AWS/Databricks)., • Outstanding leadership, communication, and interpersonal skills, with the innate ability to inspire and motivate a team., • Bachelors in a quantitative field; advanced MS/PhD qualifications are a plus. Benefits • Dental Insurance, • Health insurance, • Vision insurance, • Paid time off, • 401k with Match, • Company Paid ID Protection, • Company Paid Life Insurance

Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field. You bring a curious, detail-oriented mindset and are excited to experiment with new tools, technologies, and engineering patterns. Document data pipelines, schemas, and engineering best practices, and

Civil Engineering InternsTalbert, Bright & Ellington (TBE) is seeking highly motivated Civil Engineering Interns with a passion for aviation and infrastructure development. The intern will support engineering staff in technical design work, field observations, project research, and preparation of pl

Civil Engineering InternsTalbert, Bright & Ellington (TBE) is seeking highly motivated Civil Engineering Interns with a passion for aviation and infrastructure development. The intern will support engineering staff in technical design work, field observations, project research, and preparation of pl

Civil Engineering InternsTalbert, Bright & Ellington (TBE) is seeking highly motivated Civil Engineering Interns with a passion for aviation and infrastructure development. The intern will support engineering staff in technical design work, field observations, project research, and preparation of pl

Civil Engineering InternsTalbert, Bright & Ellington (TBE) is seeking highly motivated Civil Engineering Interns with a passion for aviation and infrastructure development. The intern will support engineering staff in technical design work, field observations, project research, and preparation of pl

Civil Engineering InternsTalbert, Bright & Ellington (TBE) is seeking highly motivated Civil Engineering Interns with a passion for aviation and infrastructure development. The intern will support engineering staff in technical design work, field observations, project research, and preparation of pl