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Join our Cutting-Edge Journey as a Technical Program Manager (TPM)
Are you an energetic, self-driven problem-solver with a knack for turning chaos into clarity? We are searching for a Technical Program Manager (TPM) to join our R&D Program Management team. This is your chance to make a direct impact on the future of Advanced Driving Assistance Systems (ADAS), L2+, and Autonomous Vehicles.
As a TPM, youll thrive in a dynamic environment, spearheading large-scale, cross-functional projects that are pivotal to our success. Youll be at the intersection of high-level strategic planning and hands-on implementation, working closely with C-level executives, engineering teams, and other key stakeholders. If you have a passion for tackling complexity and driving innovation, this role is for you.
What will your job look like:
Take ownership of the end-to-end execution of critical projects, aligning with our Product Group vision.
Lead in a dynamic environment, finding creative solutions to ensure smooth execution across departments.
Leverage your hands-on software development expertise and architectural understanding to align technical implementation with business goals.
Proactively identify and remove roadblocks, enabling engineering teams to focus on innovation.
Collaborate with senior executives to deliver high-impact results, influencing strategic priorities.
Foster streamlined processes and technology improvements to reduce friction and accelerate delivery.

we are seeking a Staff Data Scientist to drive product strategy and decision-making across our family of applications, including our company, Instagram, Messenger, WhatsApp, and our company's emerging platforms. In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

Play a part in shaping the future of human-computer interaction. We're looking for an Engineering Program Manager (EPM) to turn advanced machine learning in speech, audio and computer vision into features that ship to customers.
You'll work across ML research, data collection, silicon, FW, and the device and companion SW teams that bring these features to our customers. Your work will cover every stage, from the first dataset to the final release.

You'll own the plan for taking ML features from research to release. That covers data planning, model training and evaluation, optimization for our silicon, integration with SW teams, and release. You'll keep teams aligned, make risk visible early, and help leadership decide when model quality, performance and schedule pull in different directions. You'll be comfortable with how uncertain research is, and disciplined about delivering what ships.

Responsibilities
Own the delivery plan for ML features, from research and prototyping through integration, validation and release.
Partner with data teams to build the data strategy and plan, making sure it covers what the models need and supports program milestones: what data, at what scale and coverage, and by when.
Align model milestones with HW builds, pre-silicon validation (simulation and FPGA), and silicon bring-up, ensuring models are ready at each gate.
Lead integration with SW groups, including model handoff, interfaces, integration schedules and release timing.
Align ML teams, MLOps and data science on priorities, compute capacity and dependencies.
Track model quality, latency, memory and power against product targets, and lead trade-off decisions.
Set up model release practices: readiness gates, versioning, regression tracking and post-integration monitoring.
Summarize ML progress into clear, data-driven recommendations for leadership.

we are seeking a Software Engineer to design, build, and scale the foundational systems infrastructure that powers products used by billions of people worldwide. In this role, you will work across the systems stack - spanning distributed systems, storage, networking, runtime environments, and platform services - to deliver reliable, high-performance infrastructure that enables product teams to move quickly and safely at scale. You will own technical design and execution across complex, cross-cutting systems projects, partnering closely with engineers across the organization to drive engineering excellence and long-term platform health.
Software Engineer, Systems Responsibilities
Design and implement scalable, reliable systems infrastructure components spanning distributed computing, storage, networking, or runtime environments
Own end-to-end technical design for systems-level projects, evaluating architectural trade-offs and driving decisions that balance performance, reliability, and maintainability
Instrument systems with telemetry, dashboards, and alerting to establish visibility into performance bottlenecks, reliability regressions, and failure modes
Lead incident response and root cause analysis for production systems issues, authoring retrospectives and driving follow-up improvements to prevent recurrence
Define and enforce service level objectives for owned systems, building debugging runbooks and mitigation playbooks to reduce mean time to resolution
Collaborate with cross-functional partners across product engineering, infrastructure, and security to ensure systems designs meet privacy, security, and integrity requirements
Drive engineering efficiency by identifying development bottlenecks, building internal tooling and automation, and completing migrations that eliminate legacy technical debt
Mentor other engineers on systems design principles, coding standards, and operational best practices, and contribute to recruiting and technical program efforts
Analyze performance profiles using instrumentation and profiling tools to identify hotspots and drive targeted optimizations across the systems stack
Communicate technical decisions, trade-offs, and project status clearly to stakeholders across engineering levels and cross-functional roles.

we are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Machine Learning Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We're looking for an Engineering Program Manager (EPM) to lead a multidisciplinary program that takes a new sensing technology from research to product. The program covers HW, sensing, mechanical engineering, FW, SW, and ML. You will turn early research into a roadmap that can ship, and keep the teams aligned around one goal: a new kind of interaction experience for our users.
This is not a typical execution role. You'll work closely with researchers and engineers while driving and supporting execution. You'll know when to give exploration room and when to push toward productization. You'll be fluent in both scientific uncertainty and product discipline.

You'll be the central point of coordination for a program that moves through research, feasibility, prototyping, and product development at the same time. Working with world-class scientists, engineers, and ML experts in Israel and the US, you'll define the plan, make technical risk visible, and help leadership make clear decisions when the path forward isn't obvious. Along with engineering leadership, you'll be the face of the program.

Responsibilities
Build and own the program roadmap, from research milestones and feasibility checkpoints through prototype builds and productization.
Turn open-ended research questions into structured plans with clear hypotheses, success criteria, and decision gates.
Summarize research results into clear, data-driven findings and recommendations for executive audiences.
Keep a collaborative, transparent culture that respects research rigor and product urgency equally.
Align cross-functional teams across HW, physics, optics, mechanical, FW, ML/algorithms, data collection, and user experience.
Manage dependencies between ML workstreams, data collection, and HW development so learning cycles stay fast.
Run prototype and development builds with engineering teams, operations partners, and suppliers.
Spot technical and organizational risks early, and present them as strategic choices with mitigation paths.
Keep a collaborative, transparent culture that respects research rigor and product urgency equally.
Improve program methods to fit the needs of a research-to-product program.

Our Unit Level Verification Team is looking for an experienced verification engineer to be involved in the development of our future AI and deep learning HW accelerators.
This is an exciting opportunity to join a team of highly talented engineers, working on the most cutting-edge technologies to deliver our EyeQ future chips, aimed to power the worlds first fully Autonomous Vehicle!
What will your job look like:
Define, implement and enhance verification environments using UVM methodology.
Write and debug tests that combine UVM methodology and SW code.
Identify and write various types of coverage measures.
Collaborate with designers, architects, and SW developers from Haifa and Jerusalem teams to deliver the most comprehensive verification environment.
Integrate Industry Standard (such as AXI and OCP) and other 3rd party VIPs.

We are looking for a Software Engineering Manager to lead the SW Tools & Automation team in our Cellular group in Herzliya. The team builds and runs the engineering backbone of Cellular RF validation. You will be in charge on a variety of domains: Validation environments, CI/CD and lab automation infrastructure, the data path (lab results), & a broad set of tools for test execution, results analysis and lab monitoring.
As manager, you will own the team's technical vision and its people. You will turn the needs of many engineering teams into a clear roadmap and make sure what we deliver is reliable, scalable and actually used.
You will inherit an established, high-impact team with a broad, mature portfolio, backed by a world-class organization. You will be able to shape the direction of systems used across our cellular validation, work with talented colleagues in Israel and around the world, and grow your own career within us.

Meta is reimagining shopping on our company, Instagram, and Muse. The vision is to make every piece of media shoppable. Behind that vision is our Product Recognition and Intelligence stack. It is the tech that looks at any photo, video, and text, and knows exactly which products are in it and how they relate to other products. We are building it to work at Meta's scale. Over 3 billion distinct users every day. Billions of items power a multibillion-dollar ad business.
We are hiring a senior staff Machine Learning Engineer to lead this journey. You will tackle the hardest ML systems challenges in training, serving, and evaluation. You will set the architecture and standards that raise the bar across organizations. You will ship state-of-the-art models to production where they touch billions.
If you want to have an impact at a global scale and love building tech that actually ships, come build with us.
Software Engineer - Machine Learning (Technical Leadership) Responsibilities
Identify and solve the most complex machine learning systems problems across the organization, including model training efficiency, large-scale inference optimisation, and cross-system ML pipeline reliability
Define and own the technical architecture for critical ML infrastructure components, ensuring designs are extensible, maintainable, and capable of supporting the next generation of model development at Meta's scale
Establish engineering standards and invariants for ML systems that prevent entire categories of reliability, correctness, and performance issues across multiple teams
Drive cross-organizational technical strategy by assessing emerging ML technologies, evaluating trade-offs between competing approaches, and influencing roadmap decisions with leadership and cross-functional partners
Lead the design and delivery of org-wide ML platform initiatives, coordinating across engineering teams, research, product, and data science to align on priorities and drive execution through ambiguity
Develop new metrics and data-driven frameworks for evaluating ML system health, model quality, and infrastructure efficiency, and connecting them to organization-level goals
Mentor and coach engineers across the organization on ML system design, debugging complex models and infrastructure failures, and developing scalable solutions to recurring technical challenges
Collaborate with privacy, security, and compliance teams to design ML systems that uphold user safety, meet regulatory requirements, and set the standard for responsible AI practices within the business domain
Identify and eliminate engineering bottlenecks through improved tooling, automation, and process improvements that make ML development faster and more reliable across the organization
Contribute to recruiting efforts by building relationships with candidates who bring critical ML systems expertise, and serve as a technical reference point for evaluating engineering talent at the most senior levels.

As a Domain Consultant Manager for Idira, you are the technical leader for your Domain Consultant team. You will lead a team of high-caliber experts who provide the deep technical expertise required to transform our customers' identity security posture.
You will work closely with the Solutions Consulting Managers and their District Sales Manager counterparts to build relationships with your customers with the goal of helping them secure and govern all identity types-including human, machine, and AI agents-preventing identity-based attacks and credential misuse. You and your team will play a key role in defining technical solutions that secure a customers key business imperatives and will evangelize our industry leadership in Identity Security (Idira) alongside core security services that establish our company as a customers cybersecurity partner of choice.
We are looking for a leader to develop our Domain Consultant team, providing training and technical support as a product expert. Additionally, you will provide feedback to the product management team on new feature requests and product improvements based on what you learn from your customer base. Your team, in partnership with the Solutions Consulting team, will displace competitor technologies and build market share within your targeted list of major accounts, and most importantly, help your client sleep at night as they use our products to build secure digital transactions.
Your Impact
Lead your team to innovate and iterate to drive high technical validation and PoC win rates for Idira solutions, while reducing technical validation and PoC timelines
Provide effective technical leadership in customer interactions to include sharing security operations trends and standard methodologies employed by other customers to actively be part of the selling process.
Recruit and hire new Domain Consultants into the team, hiring the best talent in the industry
Work with your peers to develop a Domain Consultant training curriculum
Mentor, train, and review Domain Consultants on your team, keeping them engaged and successful in their careers
Develop relationships with the Solutions Consultant Managers and their teams to ensure full technology coverage in key opportunities
Provide Domain Consultant expertise and fill in for existing team members if there is a resource conflict or vacation coverage challenge
Present to customers as our expert in your area at all levels in the customer hierarchy from technician to CIO
Lead conversations focused on industry trends and emerging changes to the security landscape
Discuss competitor offerings in the marketplace and positions ours as the best solution
Support your team in documenting HLD (High Level Design) and key use cases to ensure proper implementation and value realization of our company solutions
Review and guide your teams technical validation plans including POV (proof of value) test plans and customer readiness/requirements
Build and maintain relationships with key customers to solidify reference accounts and to assist the account teams with defining plans to drive more business
Act as an escalation point for pre-sales and collaborate with post-sales teams for issues that arise
Work with product teams to build requirements and roadmap development plans for our Idira customers
Maintain an understanding of competitor selling strategies and technologies
Up to 50% travel within assigned region.

Required Senior Deep Learning Researcher
About the team:
We are a pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
Our team is at the forefront of our most advanced AI efforts. As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products. If youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

Required Senior Data & ML Engineer - 3D Perception Team
About the team:
Join PUMA, the team developing the deep-learning perceptions solutions at the heart of our autonomous-driving system. Our work powers advanced, large-scale multi-task models.
We are looking for an ML Data Engineer to own the engineering foundations behind its development and training. You will build pipelines and tools that process images, video, geometric information, and evaluate model outputs. Working alongside deep-learning researchers, you will eliminate resource-intensive bottlenecks and reduce computation costs and iteration time.
What will your job look like?
Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
Build tools for data exploration, manipulation, validation, and quality assessment.
Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across.

As a Domain Consultant at Idira [CyberArk], you will be at the forefront of demonstrating the value of our identity security solutions to both prospective and existing Enterprise customers. In this role, you will showcase how Idira [CyberArk] secures critical assets across hybrid cloud environments, distributed workforces, and emerging AI-driven workloads through product demos, presentations, and Proof of Concepts (POCs).
You will leverage your technical expertise and sales acumen to guide clients through the technology evaluation phase. Working closely with the sales team, you will act as the primary technical resource, serving as the key technical advisor and advocate for Idiras solutions, ensuring that clients understand the business, technical, and compliance benefits. Success in this role depends on clearly communicating complex technical concepts to both business and technical stakeholders. We are seeking a proactive, solution-driven security professional passionate about solving modern security challenges across global industries.
Execute full ownership over the technical trajectory of assigned product-specific opportunities, securing the Technical Win autonomously.
Define and execute customized, deep-dive technical demonstrations autonomously, finalizing the Design of Record (DoR) to bridge the gap between discovery and implementation.
Orchestrate internal resources autonomously to unblock lifecycle obstacles and resolve stalled proof-of-value projects through proactive design validation.
Maintain high execution velocity and resilience when faced with shifting parameters or technical roadblocks during complex POVs.
Define and pursue a rigorous path of technical fluency across assigned subdomains, utilizing product sandboxes and labs autonomously.
Guide customer decisions independently by defining the direct connection between technical solutions and business-critical security outcomes to favor platformization.
Define the technical vision for our customers as a high-impact driver of corporate strategy by modeling concrete ROI to displace fragmented competitors.
Drive alignment with internal stakeholders by coordinating engagements based on assigned TRRs and maintaining consistent data hygiene to reflect team impact.

Required Senior Algorithm Engineer - Objects Perception
About the team:
We are Object Perception group, developing deep learning-based perception systems for autonomous driving. Our work spans scene understanding, multi-camera reasoning, 3D modeling, and behavior prediction.
We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.