algorithm engineer

URBN

<div>Role Summary:
<div>
URBN is hiring a Staff Software Engineer to join the development of AI-powered digital experiences. We are looking for an experienced data Engineer to join our mission of integrating algorithmic solutions with creative tools. In this unique opportunity, you will use your full-stack engineering skills to implement middleware experiences and cutting-edge algorithms into our rapidly evolving products across our digital ecosystem. You will collaborate with a talented cross-functional team comprising UX designers, data scientists, product managers, and domain experts to deliver significant business impact.</div>
Role Responsibilities:
<ul><li>Collaborate with cross-functional teams to integrate AI solutions into digital products and workflows, partnering with engineers to translate prototypes into scalable features and services.</li><li>
Guide data exploration and feature engineering to support high-performing models.</li><li>
Analyze large-scale data sets to generate actionable insights and recommendations.</li><li>
Lead the technical evaluation of external AI/ML tools and vendors, influencing decisions for the technology stack.</li><li>
Conduct exploratory proof-of-concept studies to assess potential deployment architectures and evaluate new data engineering technologies.</li><li>
Propose, promote, and facilitate paved paths for algorithm integration and productization, laying foundations for feedback loops and data flywheels.</li><li>
Identify and execute opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies, and expanding algorithm distribution.s</li><li>
Collaborate with the team to implement and maintain the ML architecture, including data pipelines and applications that enable training and inference of ML models in production.</li><li>
Identify and execute opportunities to scale algorithm impact, manage algorithm dependencies, and expand algorithm distribution.</li><li>
Contribute to end-to-end algorithm projects across different domains</li><li>
Collaborate with the team to implement and maintain automated monitoring of deployed models to assess their performance, uptime, etc</li><li>
Foster strong cross-functional partnerships</li><li>
Champion best practices in full-stack algorithm engineering</li></ul>
Role Qualifications:
<ul><li>Strong coding skills and software development experience. Proficiency in Python is required.</li><li>
Strong SQL skills - ability to both read and construct complex queries; ability to test complex queries for correctness</li><li>
Analytics skills - ability to understand requirements and translate them into solutions; ability to express the meaningful inputs and outputs, and foresee the nuances that make something more complicated than it appears</li><li>
Familiarity with dbt - ability to decompose a problem into data models, understanding of key concepts such as building models, data tests, macros, exposures and environments</li><li>
Proficiency in Airflow - ability to construct a DAG, understanding of how to divide tasks, ability to unit test and manually test DAGs to demonstrate they work.</li><li>
Experience with Cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.).</li><li>
Proven track record of delivering high-impact, algorithm-driven software systems and solutions.</li><li>
Experience deploying machine learning models in production.</li><li>
Hands-on experience with large-scale data processing, data engineering, and automation.</li><li>
Excellent communicator. Comfortable with ambiguity; able to take ownership and thrive with minimal oversight and process.</li></ul><p></p><p><br>
#LI-AZ1</p>
The Perks:
<div>
URBN offers comprehensive Perks &amp; Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits</div>
EEO Statement:
<p>
URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.</p></div>

URBN Staff Engineer

Apple

<p>In the Camera Imaging Algorithms team in the Camera &amp; Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.<br>
<br>
<b>Description</b><br>
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As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.<br>
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<b>Preferred Qualifications</b><br>
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Excellent verbal and written communication skills<br>
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Creativity and curiosity for solving complex problems<br>
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<b>Minimum Qualifications</b><br>
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Strong coding skills in Python; experience in C/C++ a big plus<br>
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Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems<br>
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Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques<br>
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Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow<br>
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MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
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<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Computational Photography/Computer Vision Machine Learning Engineer

PASQAL

<div><p><b>About Pasqal</b></p><p>
Pasqal designs and develops Quantum Processing Units (QPUs) and associated software tools.
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Our innovative technology enables us to address use cases that are currently beyond the reach of the most powerful supercomputers; these cases can concern industrial application challenges as well as fundamental science needs.
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In addition to the exceptional computing power they provide, QPUs are highly energy efficient and will contribute to a significant reduction in the carbon footprint of the HPC industry.</p><p></p><p><b><br>
Job Description</b></p><p></p><p>
We are looking for a candidate to join our Quantum Applications department to <b>build and</b> <b>deliver client-facing solutions</b> based on Pasqal&rsquo;s <b>quantum algorithm portfolio</b>. This is an <b>application-driven engineering role</b> focused on <b>adapting, integrating, and deploying</b> existing approaches to real-world partner and client use cases. The goal is to turn existing methods into reliable client deliverables; contributions to internal method improvement are welcome when they directly support project outcomes.</p><p>
As a <b>machine learning engineer</b> with interest in quantum computing (physics background is a plus, not a requirement), you will:</p><ul><li><p><b>
Adapt and implement</b> Pasqal&rsquo;s existing quantum(-enhanced) graph ML algorithms to fit <b>client datasets, constraints, and performance targets</b>.</p></li><li><p>
Build and maintain <b>robust ML pipelines</b> (data ingestion, preprocessing, training, evaluation, post-processing), including integration with <b>quantum execution workflows</b>, emulation/simulation platforms, and internal tooling.</p></li><li><p>
Establish <b>baselines, metrics, and acceptance criteria</b> with stakeholders, and drive solution iterations until delivery requirements are met.</p></li><li><p>
Collaborate closely with <b>internal R&amp;D teams</b> to transfer methods from research to application, clarify assumptions/limits, and select the best approach from the portfolio for each use case.</p></li><li><p>
Work with <b>hardware and platform engineers</b> to run solutions on Pasqal QPUs, taking into account hardware constraints, execution constraints, and reliability.</p></li><li><p>
Work closely with domain experts from high profile enterprises and partners to deliver solutions on real-world business problems</p></li><li><p>
Produce <b>maintainable code, documentation, and handover material</b> so delivered solutions can be reused and supported.</p></li><li><p>
Keeping a regular scientific and technological watch.</p></li></ul><p></p><p><b>
What we offer</b></p><ul><li><p><br>
Type of contract : Permanent contract</p></li><li><p>
A dynamic and close-knit international team</p></li><li><p>
A key role in a growing start-up</p></li><li><p>
Free time to train and go to conferences/meetups</p></li></ul><p></p><p><b>
Recruitment process</b></p><ul><li><p>
An interview with our talent acquisition of 30'.</p></li><li><p>
A meeting with the team and technical test</p></li><li><p>
An exchange with Shaheen Engineering manager</p></li><li><p>
A final interview with Louis-Paul, the VP</p></li><li><p>
An offer !</p></li></ul><p></p><p><i>
PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace, as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates, regardless of gender, ethnicity, age, religion or sexual orientation.</i></p></div>

Quantum Software engineer - ML - W/M

<div><div>Company Overview</div>
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&amp;D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world&rsquo;s leading technology providers to accelerate the delivery of tomorrow&rsquo;s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.<div></div><div>
Group/Division</div>
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA&rsquo;s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA&rsquo;s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry&rsquo;s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.<div></div><div>
Job Description/Preferred Qualifications</div><div>
Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in California.</div><div></div><div>
Responsibilities :</div><ul><li>
Designing, developing, modifying and diagnosing complex ML and DL algorithms</li><li>
Ability to invent, prototype and deploy new image processing algorithms and ideas</li><li>
Hands-on experience in object-oriented and functional programming</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to work both independently and in a team environment.</li></ul><div></div><div>
Qualifications:</div><ul><li>
Strong background in one or more of the following areas: machine Learning, deep learning, computer vision, image processing</li><li>
Familiar with one of common deep learning frameworks like TensorFlow, PyTorch</li><li>
Hands-on experience with training ML/AI models that have been deployed in a product</li><li>
Ability to write model architectures from scratch, modify loss functions</li></ul><div></div><div>
Minimum Qualifications</div>
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years<div></div>
Base Pay Range: $140,500.00 - $238,900.00 Annually<div></div>
Primary Location: USA-CA-Milpitas-KLA<div></div>
KLA&rsquo;s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.<div></div><div>
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.</div><div></div><div><br>
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at <div>talent.acquisition@kla.com</div> or at +1-408-352-2808 to request accommodation.</div><div></div><div>
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched <div>KLA&rsquo;s Careers website</div> for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to <div>talent.acquisition@kla.com</div> to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.</div></div><div></div>

Artificial Intelligence Engineer

Anduril

<div><div><p>Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.</p></div><h1 class="jobSectionHeader"><b>
ABOUT THE TEAM</b></h1>
<p>
At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision &mdash; &quot;Any sufficiently advanced technology is indistinguishable from magic&quot; &mdash; we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.</p><br>
<h2 class="jobSectionHeader"><b>
WHAT YOU WILL DO:</b></h2>
<ul><li>Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.</li>
<li>Architect, maintain, and evolve complex software systems, refactoring existing codebases to improve performance, maintainability, and scalability.</li>
<li>Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.</li>
<li>Develop high-performance Rust software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.</li>
<li>Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.</li>
<li>Apply software design patterns and architectural best practices to manage technical debt and guide the evolution of production systems over time.</li>
<li>Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.</li>
<li>Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.</li>
<li>Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.</li>
<li>Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.</li>
</ul><h2 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS</b></h2>
<ul><li>8+ years of professional software engineering experience &amp; a Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)</li>
<li>Demonstrated experience managing and evolving software architecture in production environments, including refactoring legacy systems and managing technical debt.</li>
<li>At least 2+ years working on a single codebase or product, maintaining and expanding it as requirements evolved.</li>
<li>Strong understanding of software design patterns, architectural principles, and best practices for building maintainable, scalable systems (beyond basic syntax proficiency).</li>
<li>Proficiency in algorithm design, software development, and statistical modeling; experience with Rust, C/C++, Python, and Matlab is a plus.</li>
<li>Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.</li>
<li>Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).</li>
<li>Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.</li>
<li>Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.</li>
<li>Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.</li>
<li>Eligible to obtain and maintain an active U.S. Secret security clearance.</li>
</ul><h2 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h2>
<ul><li>Experience refactoring and modernizing Rust codebases in production environments.</li>
<li>Track record of architectural decision-making and technical leadership on long-lived projects.</li>
<li>Contributions to open-source Rust projects or the broader Rust ecosystem.</li>
<li>Experience with concurrent and parallel programming patterns in Rust.</li>
<li>Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.</li>
<li>Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.</li>
<li>Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).</li></ul><br>
<p></p>
<p><i>
We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.</i></p><div><p>
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p>
<p><b>
Healthcare Benefits</b></p>
<ul>
<li><b>US Roles:</b> Comprehensive medical, dental, and vision plans at little to no cost to you.</li>
<li><b>UK &amp; AUS Roles:</b> We cover full cost of medical insurance premiums for you and your dependents.</li>
<li><b>IE Roles:</b> We offer an annual contribution toward your private health insurance for you and your dependents.</li>
</ul>
<p><b>Additional Benefits</b></p>
<ul>
<li><b>Income Protection</b>: Anduril covers life and disability insurance for all employees.</li>
<li><b>Generous time off</b>: Highly competitive PTO plans with a holiday hiatus in December. Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</li>
<li><b>Family Planning &amp; Parenting Support:</b> Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</li>
<li><b>Mental Health Resources:</b> Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.</li>
<li><b>Professional Development:</b> Annual reimbursement for professional development</li>
<li><b>Commuter Benefits:</b> Company-funded commuter benefits based on your region.</li>
<li><b>Relocation Assistance:</b> Available depending on role eligibility.</li>
</ul>
<p><b>Retirement Savings Plan</b></p>
<ul>
<li><b>US Roles:</b> Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</li>
<li><b>UK &amp; IE Roles:</b> Pension plan with employer match.</li>
<li><b>AUS Roles:</b> Superannuation plan.</li>
</ul>
<p>The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.</p><br>
<p></p>
<div>
<h3 class="jobSectionHeader"><b>Protecting Yourself from Recruitment Scams</b></h3>
<p>
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.</p>
</div>
<div><p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li><p><b>No Financial Requests: </b>Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.</p>
</li>
<li><b>Please always verify communications:</b>
<ul><li>Direct from Anduril: If you receive an email from one of our recruiters, it will <i>only</i> come from an @anduril.com address.</li>
<li>Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.</li>
</ul>
</li><li><p><b>Exercise Caution with Unsolicited Outreach:</b> If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.</p>
</li>
<li><p><b>What to Do If You Suspect Fraud:</b> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Data Privacy</b></h3>
<p>
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.</p></div></div>

Senior Software Engineer, Rust

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are You Ready to Redefine How the World Receives Its Packages?<br>
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What if your algorithms defined the most efficient path for millions of deliveries &mdash; every single day? At Amazon, we're building the science that makes that possible, and we're looking for exceptional scientists to help lead the way.<br>
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The Last Mile Routing &amp; Planning organization develops the software, algorithms, and tools that power the &quot;magic&quot; of home delivery. Our planning and routing intelligence systems drive billions of daily decisions &mdash; enabling safe, efficient, and frustration-free routes for drivers across the globe.<br>
<br>
What You'll Do<br>
<br>
In this role, you'll sit at the intersection of state-of-the-art research and real-world impact. You will:<br>
<ul><li>Design and build algorithms that solve large-scale, complex logistics problems</li><li>Synthesize data from diverse sources to identify high-value business opportunities</li><li>Provide research direction and data-driven insights to guide strategic decisions</li><li>Translate complex technical approaches into clear communication for scientists, engineers, and business stakeholders</li><li>Partner closely with scientists and engineers in a collaborative, high-impact environment</li></ul><br>
What You'll Work On<br>
<br>
We have an exciting and growing portfolio of research areas, including:<br>
<ul><li>Routing for same-day and grocery deliveries</li><li>Planning for electric and autonomous vehicles</li><li>District-level and stop-level planning</li><li>Forecasting solutions for diverse delivery programs</li></ul><br>
All of this is powered by the latest methods in Operations Research (OR), Machine Learning (ML), and Generative AI &mdash; at a truly global scale. Successful candidates will lead one or more of these problem spaces.<br>
<br>
What We're Looking For<br>
<br>
<ul><li>Deep expertise in Operations Research and/or Machine Learning methods</li><li>Proven experience applying these methods to large-scale, real-world business problems</li><li>Ability to translate models into production-ready code in Python or Java</li><li>Strong communication skills &mdash; you can explain complex technical concepts to diverse audiences</li><li>A bias for action and an iterative mindset when tackling ambitious research challenges</li></ul><br>
Why Amazon<br>
<br>
We're passionate about your growth. Whether you want to explore emerging technologies, take on broader scope, or accelerate your career trajectory, we'll invest in helping you get there. Our business is scaling fast &mdash; and so are the opportunities for the people who build it.<br>
<br>
If you're driven by the challenge of optimizing one of the world's most complex logistics systems and excited to see your work impact millions of customers daily, we'd love to hear from you.<br>
<br>
Key job responsibilities<br>
<ul><li>Invent and design novel solutions for scientifically complex problem areas, and identify opportunities for invention within existing and new business initiatives</li><li>Deliver large-scale, high-impact solutions to complex problems in support of medium-to-large business goals</li><li>Shape the design of scientifically complex software systems, personally contributing significant portions of the critical scientific novelty</li><li>Apply mathematical optimization, machine learning, and Generative AI techniques to develop solution methodologies for in-house decision support tools and software</li><li>Research, prototype, simulate, and experiment with models &mdash; and actively participate in their production-level deployment in Python or Java</li><li>Engage with the broader scientific community by publishing research articles and participating in leading research conferences</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of programming in Java, C++, Python or related language experience</li><li>PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience building machine learning models or developing algorithms for business application</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>3+ years of solving business problems through machine learning, data mining and statistical algorithms experience</li><li>3+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Last Mile Science

Lyft

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 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
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 Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.
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 As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in optimization, prediction, machine learning, and inference. On the Fulfillment team, you will collaborate with cross-functional teammates and stakeholders to enhance algorithms for matching rideshare supply and demand in real time and develop product offerings to improve the experiences of Lyft Riders and Drivers.
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  Responsibilities:
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   Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team&rsquo;s systems and products
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   Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context.
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   Perform exploratory data analysis to gain a deeper understanding of the problem
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   Construct and fit statistical, machine learning, or optimization models
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   Write production modeling code; collaborate with Software Engineers to implement algorithms in production
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   Design and implement both simulated and live traffic experiments
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   Analyze experimental and observational data; communicate findings; facilitate launch decisions
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   Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
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   Drive collaboration and coordination with cross-functional teams
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  Experience:
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   M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
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   2+ years professional experience in a technology company setting
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   Proven experience with building and evaluating machine learning models
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   Proficiency with Python and working in a production coding environment
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   Passion for solving unstructured and non-standard mathematical problems
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   End-to-end experience with data, including querying, aggregation, analysis, and visualization
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   Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem
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  Benefits:
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   Great medical, dental, and vision insurance options with additional programs available when enrolled
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   Mental health benefits
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   Family building benefits
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   Child care and pet benefits
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   401(k) plan to help save for your future
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   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
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   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
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   Subsidized commuter benefits
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   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
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  Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
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  Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
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  The expected base pay range for this position in the New York City area is $128,000 -$160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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</div>


Data Scientist, Algorithms, Optimization - Fulfillment

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