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Intuit

    דרושים Intuit

    המשרות שלנו (29)
    תחום עיסוק
    חומרה / תוכנה
    כמות עובדים
    51-100
    שנת הקמה
    1983

    עוד עלינו

    משרות Intuit

    הצעות עבודה
    מתוך 3
    נמצאו 29 משרות
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    Location: Petah Tikva
    Job Type: Full Time
    required Head of Communications, Intuit Israel
    As the Head of Integrated Communications at Intuit Israel, you will lead the communications strategy and a team of communicators for Intuit Israel. Our company is at the forefront of its industry, offering innovative financial solutions. Your primary mission is to develop and execute a comprehensive communication strategy that aligns with Intuit's core values, enhancing our business objectives. You will be part of the site leadership team, directing key communication functions, including employee communication, public relations, executive communications, and social media.
    Most importantly, one needs to be a team builder, team player, and a leader to be successful in this role. The ideal candidate will embody Intuits 5 core values:

    Integrity without Compromise For us, integrity without compromise means that we strive to speak the truth and assume the best intent. We value trust and do the right thing even when no one is looking.

    Courage Courage means being bold and fearless in how we think and act; relentlessly holding a high bar for performance; and valuing speed, learning, and action.

    Customer Obsession Being customer-obsessed means that we fall in love with our customers problems, not our solutions. We sweat every detail to deliver delightful and meaningful customer experiences.

    Stronger Together Were passionate about creating an environment where all employees feel a sense of belonging; where everyone feels like they can bring their whole selves to work. We believe in creating a workforce with an inclusive environment representative of our diverse customers.

    We Care and Give Back When we think of our mission of powering prosperity, we dont limit ourselves to solving challenging financial problems. As stewards of the future, we are committed to causes like caring for our environment; supporting the communities around us; and providing opportunities for everyone to prosper.

    Responsibilities
    Strategic Communications: Develop and execute a comprehensive strategic communication plan that establishes Intuit Israel as a leader in the fintech corporate sphere. Driving the company's strategic goals across internal and external audiences, including business and tech media.
    Executive Support and Counsel: Provide strategic communications counsel and support to the site leader and C-Suite, serving as a trusted advisor. Identify and secure speaking engagements and forums that position our senior executives as industry leaders.
    Connected Storytelling: Develop and help ensure a consistent and connected storytelling approach for corporate narratives across internal and external audiences and channels.
    Collaborate with the Global Communications team: maintain consistent corporate messaging, as well as clear communication of our business goals, strategies, and performance, to a diverse array of internal and external audiences. Contribute to strategic communications initiatives and programs through relevant insights and learning from local experiments.
    Team Leadership: Lead and further develop Intuit Israel's communications team, fostering a world-class communications environment. Provide direction and coaching to enhance both internal, executive, and external communications.
    Crisis Management: Develop and implement strategies to manage potential issues that could impact our reputation.
    Strengthen Intuit Brand and Reputation: Strengthen and enhance Intuit Israel's brand and reputation, both within the tech industry and externally among top tech talent.
    Requirements:
    Minimum of 10 years of Corporate Communications and Public Relations experience at a senior level in a major corporation. A track record in tech.
    Dual native English and Hebrew speaker.
    Proven ability to develop and implement integrated strategic communications plans for large, complex, and global organizations.
    Exceptional skills in counseling senior executives on internal and external communica
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    required AI/ML Group Manager, Smart Products

    Responsibilities
    Lead multiple teams of data scientists and machine learning engineers
    Mentor and hire the best data scientists in Israel
    Apply articial intelligence, generative artificial intelligence, and machine learning techniques to solve complex questions or fuel new business opportunities
    Deliver breakthrough benefits to Intuit users and customers, across small business and consumer products using individual, enriched, and aggregated data
    Provide leadership in advanced engineering, data science, and analytics in the development of current and future products or technologies
    Provide technical leadership across multiple teams, by understanding a key technology space deeply enough to help guide strategy
    Provide and inspire data science innovations that fuel the growth of Intuit
    Understand and teach proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights, using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
    Provide the entrepreneurial guidance essential for business stakeholders to appropriately interpret and build on findings, and fully exploit the insights revealed through the research
    Requirements:
    BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics), or equivalent experience
    4+ plus years experience as an established technical leader and manager of data science teams that have successfully delivered data-driven software products
    Innovative and disruptive technology leader, solving long-term strategic outcomes
    Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
    Leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language
    Impeccable attention to detail and strong ability to convert complex data into insights and action plans
    Strategic thinker, fiexible problem solver, great listener and team orientation
    Able to effectively communicate a vision and inspire others to innovate
    Thrive on ambiguity and enjoy the frequent pivoting thats part of the exploration. Extremely passionate about practically applying Machine Learning to real customer problems, powering the next-generation experiences for large-scale applications
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    required Mid SW Developer, ML & MLOps
    Responsibilities
    Design and build systems which improve machine learning scalability, usability, and performance.
    Work cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms.
    Effectively communicate results to peers and leaders.
    Explore the state-of-the-art technologies and apply them to deliver customer benefits.
    Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines
    Requirements:
    BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
    Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance, e.g. I/O and memory tuning
    Software engineering fundamentals: version control systems (Git, Github) and workflows, and ability to write production-ready code.
    Knowledge of
    Machine Learning or Data Science languages, tools, and frameworks: Spark, Scala, Python, R, SQL, SkLearn, NLTK, Numpy, Pandas, TensorFlow, Keras, Java
    Machine learning techniques (e.g. classification, regression, and clustering) and principles (e.g. training, validation, and testing)
    Data query and data processing tools or systems: relational, NoSQL, stream processing
    Distributed computing systems and related technologies: Spark, Hive
    Mathematics fundamentals: linear algebra, calculus, probability
    Preferred Additional Qualifications:

    Familiarity with:
    Cloud technologies, in particular AWS.
    DevOps concepts, e.g. CI/CD
    Software container technology, e.g. Docker, Kubernetes
    Experience with designing and developing deep learning architectures
    Deploying highly scalable software for SaaS produ
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    We are looking for a Staff Data Scientist to join our Generative AI Content Moderation efforts. You will take a key role in developing and maintaining ML models and tools that detect irrelevant and harmful content and enforce regulation and standards. You will work in a dynamic, collaborative company culture with cutting-edge technologies as part of a global Data Science organization for Security, Risk & Fraud prevention.

    Responsibilities
    Collaborate with the content moderation policy team to define and track relevant KPIs
    Use our paved paths and infrastructure for building, hosting, and maintaining machinelearning models, including cloud-based platforms
    Collaborate with data engineers to establish robust data pipelines for model training and Inference under high-throughput and low-latency constraints
    Formalizing compliance requirements and priorities backlog
    Sharing knowledge on privacy and compliance issues, both internally and externally
    Requirements:
    5+ years of Data Science experience, preferably with a strong NLP background
    MSc or PhD in a relevant field (Computer Science, Statistics, Applied Math), or equivalent experience (research experience from the industry)
    Expertise in Data Mining algorithms and Statistical Modeling techniques
    Well-versed in Data Science methods, tools, and frameworks, including data processing platforms and distributed computing systems (for example Python, SQL,SKLearn, Numpy, Pandas, Keras)
    Experience in working on one of the cloud platforms (for example AWS, GCP, Azure)
    Advantages:
    Experience with compliance-related modeling
    Experience with unstructured data
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    We are looking for top talents and a team member that loves new challenges, cracking tough problems, working cross-functionally and with great passion for innovation. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply. This role will focus on enabling data driven decision making for our payments products. If you are a data expert, you will get an exciting opportunity in an innovative industry which combines finance and high-tech. We are building the world-leading financial products for our customers.

    Responsibilities
    Drive strategic thinking and cross-functional alignment around data-driven approaches to optimize product and GTM efforts (inclusive of experimentation) based on customer segments, lifecycle stages, and other critical customer attributes
    Lead deep exploration of customer data and spearhead customer segmentation, High value analyses, and other actionable analysis/modeling
    Develop (alongside product and marketing counterparts) experimentation plans to measure and optimize execution of data-driven strategies across execution, targeting, and personalization
    Partner with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them
    Partner with business leaders (e.g. product, business development and finance) to define business strategies, areas of investment, and critical priorities
    Requirements:
    7-10 years of experience working in product, customer or other related analytics function
    Highly proficient in A/B testing, SQL, Tableau, and Excel. Working knowledge in Python or Amplitude is a plus.
    Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms
    Ability to narrate complex stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders.
    Ability to manage multiple projects simultaneously to meet objectives and deadlines.
    Proactive and inquisitive learner, seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
    Strong organizational skills, time management, portfolio prioritization experience, and accountability required.
    Experience in payments, banking or lending industry is a plus.
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    Come join the Smart Products AI group as a Senior Staff Data Science Architect. You will be responsible for all the engineering aspects of the AI work on Mailchimp CRM, content moderation, and audience segmentation.

    Responsibilities
    Working with partners to design and align on architecture for integration to deliver against the plan and priorities
    Reviewing technological solutions to help ensure excellent deliveries in terms of quality, stability, security and compliance, efficiency and op excellence
    Approving architecture decisions within the scope
    Escalating using the architecture pillar
    Leading conversations with partner architects to influence AI-driven product design and strategy
    Delivering AI/ML system designs that meet customer requirements, taking account of systems requirements, including latency, throughput, cost, and maintenance
    Reviewing complex and ‌challenging work to help simplify and execute with speed
    Defining the vision and direction for the end to end solution, and serving as a thought leader on how to execute in a way that brings immediate value, as well as solving for the long-term vision
    Requirements:
    Experience with GCP - advantage
    Industry expert in more than one of: ML, NLP, Optimization
    Expert level knowledge with modern AI development frameworks (TensorFlow, KubeFlow, pyTorch, scikit-learn), and expertise in all the steps spanning the end to end MDLC
    Has expert knowledge of data pipelines, processes, and design patterns, and can create logical and physical data models for cross-functional business problems
    Ability to drive the design and creation of reusable AI capabilities
    Drive enterprise strategy in AI/ML that align with business strategy and outcomes
    Translate business needs into technical solutions, handling varying levels of complexity.
    Drive cross-functional End-End design architecture
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    Were looking for a creative problem solver with deep technical knowledge of Data Science, LLM, GenAI, plus velocity and a passion for innovation and collaboration to join the Intuit AI team as a Product Manager. This product management teams charter is to be the best of breed applied AI team to enable durable, reusable AI capabilities that will scale AI at Intuit. This key role will own the strategic direction, executable roadmap and measurable outcomes for building key components of the foundational large language model (we call it FILM) that will enable our cornerstone brands like Credit Karma, QuickBooks, Mailchimp, and TurboTax to deliver better AI driven products. Intuit AI product team plays a foundational role in setting the vision, strategy, AI capability to build an end to end solution that will make AI and GenAI accessible to everyone, to building smart financial applications that will delight our customers.
    Responsibilities

    Own the key strategy and vision of our FILM portfolio, understanding the broad needs of the PD teams in the different BUs, envisioning and executing the creation of a useful, repeatable, high-quality LLM that can solve multiple problems in different business contexts.
    Create delightful product experience alongside our in-product teams, such as Credit Karma, QuickBooks, Mailchimp, TurboTax, by building and evolving how to create delightful conversations within the product using FILM to provide advice, insights and recommendations that our customers have not seen before.
    Through the understanding of GenAI capabilities and understanding user needs, create AI enabled product experiences that will empower our business to display the smartness of AI powered decisions and predictions through their AI implementations.
    Establish and manage the roadmap for FILM for all Intuit wide smart product experiences, leading trade-offs among priorities, strategic bets, and other considerations
    Establishing strong partnerships with key partners across Intuit to enable FILM to be the single most important financial LLM that powers all of our customer experiences in conversational style.
    Clearly articulate Intuit AI vision, strategies, priorities, and desired outcomes with key partners across Intuit
    Leverage usability studies, business and product usage data, external industry trends, and metrics to create AI enabled experiences that business cannot live without.
    Requirements:
    7-10 years of combined GenAI, LLM, Machine Learning, and Technical Product Management experience
    Experience researching AI/ML/GenAI industry trends and applying to product strategy & roadmap
    Proven ability to partner effectively across functions with the ability to gain shared vision on challenging decisions and priority trade-offs.
    A proven track record of successfully implementing and evaluating deep learning, GenAI, and machine learning models on real-world data sets
    Strong combination of theoretical knowledge and hands-on experience in data labeling, data mining, feature selection, dimensionality reduction, statistical techniques, regression analysis,machine learning / deep learning, and LLM techniques
    Solid fundamentals with knowledge of machine learning / deep learning algorithms, classification, clustering, regression, reinforcement learning, CNN, RNN, probability theory, and algorithm design
    Solid foundation of natural language processing, generative AI and LLM recent developments (LLaMa2, BERT, BLOOM, GPT4, etc)
    Familiarity with Big Data frameworks (e.g., Hadoop, Hive, Spark, etc.) and Domain Driven Design approaches to data as a product
    Desired: MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Generative AI, or related technical field.
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    Join the innovative Machine Learning Engineering group, to help build the next generation of awesome products and experiences using cutting edge technology.

    If you love having stretch goals, real world challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.

    You will collaborate with many teams in Intuit and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.

    In this role, youll:

    Be part of a vibrant team of Data Scientists and ML Engineers
    Be expected to help code, optimize, and deploy ML models at scale, using the latest industry tools and techniques
    Help automate, deliver, monitor, and improve ML solutions
    Important skills include software development, systems engineering, data wrangling, feature engineering, architecting, and testing.

    Responsibilities
    Design and build systems which improve machine learning scalability, usability, and performance.
    Work cross functionally with product managers, data scientists, and engineers to understand, implement, refine, and design machine learning and other algorithms.
    Effectively communicate results to peers and leaders.
    Explore the state-of-the-art technologies and apply them to deliver customer benefits.
    Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines
    Requirements:
    BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
    Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance, e.g. I/O and memory tuning
    Software engineering fundamentals: version control systems (Git, Github) and workflows, and ability to write production-ready code.
    Knowledge of
    Machine Learning or Data Science languages, tools, and frameworks: Spark, Scala, Python, R, SQL, SkLearn, NLTK, Numpy, Pandas, TensorFlow, Keras, Java
    Machine learning techniques (e.g. classification, regression, and clustering) and principles (e.g. training, validation, and testing)
    Data query and data processing tools or systems: relational, NoSQL, stream processing
    Distributed computing systems and related technologies: Spark, Hive
    Mathematics fundamentals: linear algebra, calculus, probability
    Preferred Additional Qualifications:

    Familiarity with:
    Cloud technologies, in particular AWS.
    DevOps concepts, e.g. CI/CD
    Software container technology, e.g. Docker, Kubernetes
    Experience with designing and developing deep learning architectures
    Deploying highly scalable software for SaaS products
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    Were in an exciting period of growth and seeking a talented and passionate individual who shares our vision for helping power the prosperity of small businesses. This is a role for a creative individual who wants to help shape the future direction of an early product within Intuit and who has a ruthless attention to detail, is comfortable with ambiguity, and has a willingness to collaborate within a team environment. Youll help by progressing the QuickBooks experience and youll also inspire and elevate the team by producing work that is always raising the bar and taking a customer obsessed approach to solving problems. We cant wait to meet you!

    Responsibilities

    Solve customer problems by synthesizing behavioral information and imagining things as they might be, not as they are
    Define the user experience, interactions, and user interface through user?ows, information architecture, sketches and wireframes, and visual design
    Conceptualize a broad spectrum of ideas and then narrow based on experimentation and customer research
    Solicit feedback and contribute constructively to design reviews
    Advance a strong point of view, backed up by personal expertise, design rationale, customer data, and industry trends
    Work on multiple projects at one time, using strong communication skills to manage time and expectations appropriately
    Create a bold vision and propose game changing ideas in areas of ownership
    Infiuence cross-functional partners to focus efforts on strategic, customer-back innovations that have the largest business impact
    Collaborate with stakeholders to translate business goals into unique product experiences
    Requirements:
    5+ years of experience in interaction design, product design, service design, or related field
    Ideally a bachelors degree in Product Design, Human-Computer Interaction Design, or other relevant field.
    Deep knowledge of design principles and methods
    Curiosity and commitment to testing new ideas and innovating to drive business results
    Effective communicator, presenter, and negotiator
    Expertise conveying ideas and concepts through storyboarding, wireframing, and prototyping
    Mastery of design tools
    A comprehensive online portfolio demonstrating your strong craft and collaborative process
    Experience in fintech, payments, or financial services is a huge bonus
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    Location: Petah Tikva
    Job Type: Full Time and Hybrid work
    We are looking for innovative team players that love new challenges, cracking tough problems, and working cross-functionally.

    We encourage you to apply if you

    Are extremely passionate about exploring the field of Adversarial ML
    Are a seasoned security researcher that enjoys playing both red-team and blue-team, doing threat analysis, finding new attack vectors, and also suggesting and designing mitigation
    Have strong math and algorithms background
    Are a quick learner that thrives in uncharted technology territories
    Love to gain knowledge, share knowledge, and build knowledge

    Responsibilities
    In this role, you will collaborate with data scientists and security researchers on defining the way Intuit secures AI models. More specifically, you will participate in:

    Researching AI models from a security perspective, to understand whether and which models are vulnerable to which attacks and why
    Exploring innovative ways to create robust AI models and to build robust AI systems. And also to find new attack vectors on AI models.
    Collecting and digesting literature and open-source software to build and maintain a Adversarial ML and Robust AI knowledge base and tool sets
    Sharing knowledge internally/externally on AI risks and Robust AI technology
    Requirements:
    MSc (with thesis) or PhD in Computer Science, Applied Math, or similar fields. Equivalent research experience may be acceptable with a proven research record.
    4+ years of industry experience in cyber security research. Including 2+ years doing threat research and 2+ years security innovation (possibly overlapping)
    Strong background in math, statistics and algorithms. Significant Data Science experience will be an advantage
    Significant experience in research and innovation. Academic publications, conference talks and patented inventions will be an advantage.
    Abstract thinking
    Knowledge-sharing experience
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