machine learning engineer

Square

<div>
 Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn&rsquo;t work together.
 
 
 So we expanded into software and started building integrated, omnichannel solutions &ndash; to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we&rsquo;ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
 
 
 Today, we are a partner to sellers of all sizes &ndash; large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We&rsquo;re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
 
 
 
 The Role
 
 
 
 Block's Chargeback Risk Machine Learning team members build machine learning models and systems to precisely detect, intervene on, and reduce fraudulent activity across Block's Cash App and Square ecosystems. As part of our team, you and your work will safeguard the Cash App and Square ecosystems from financial loss and provide trustworthy and seamless financial experiences for millions of customers and sellers.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven solutions to fight fraud at scale
 </li>
 <li>
 Become a risk domain expert and expert to lead strategy and planning on your workstreams.
 </li>
 <li>
 Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
 </li>
 <li>
 Investigate and use state-of-the-art modeling algorithms and third-party data sources to boost model performance
 </li>
 <li>
 Contribute positively to our team culture as a collaborative, empathetic, and reliable teammate.
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 3+ years of machine learning experience
 </li>
 <li>
 A degree (preferably graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
 </li>
 <li>
 Hands-on experience independently designing, deploying, and troubleshooting ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning.
 </li>
 <li>
 Proficiency in modern ML stacks such as: PySpark, PyTorch, MLflow, GCP Vertex AI, Workflow orchestration tools (i.e. Airflow, Prefect)
 </li>
 <li>
 Proficiency with containerization, cloud platforms (AWS, GCP), and CI/CD practices.
 </li>
 <li>
 Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML/AI solutions at scale
 </li>
 <li>
 Experience helping your teammates grow through mentorship and providing constructive feedback.
 </li>
 <li>
 A natural sense of curiosity, and experience with Block's mission of economic empowerment.
 
 
 </li>
 </ul>
 Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
 
 
 To find a location&rsquo;s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
 
 
 
 Zone A
 
 
 
 $189,000&mdash;$283,600 USD
 
 
 
 Zone B
 
 
 
 $179,600&mdash;$269,400 USD
 
 
 
 Zone C
 
 
 
 $170,100&mdash;$255,100 USD
 
 
 
 Zone D
 
 
 
 $160,700&mdash;$241,100 USD
 
 
 
 Use of AI in Our Hiring Process
 
 
 
 We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
 
 
 Contact us here with hiring practice or data usage questions.
 
 
 
 Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.
 
 
 Check out our other benefits at Block.
 
 
 
 
 Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.
 
 Square
 
 makes commerce and financial services accessible to sellers.
 
 Cash App
 
 is the easy way to spend, send, and store money.
 
 Afterpay
 
 is transforming the way customers manage their spending over time.
 
 TIDAL
 
 is a music platform that empowers artists to thrive as entrepreneurs.
 
 Bitkey
 
 is a simple self-custody wallet built for bitcoin.
 
 Proto
 
 is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.
 
 
 
 Privacy Policy
</div>

Machine Learning Engineer (Modeling), Risk

<div><div><h3 class="jobSectionHeader">About xAI</h3>

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</div><h3 class="jobSectionHeader">
Focus</h3>
<ul><li>Creating and driving engineering agenda to toward superhuman multimodal capabilities, which include both multimodal understanding and multimodal generation, across different modalities including image, video and audio.</li>
<li>Improving data quality, developing data filtering/generation techniques, and performing data study, on pretraining scale.</li>
<li>Creating evaluation frameworks and internal benchmarks.</li>
<li>Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance.</li>
</ul><h3 class="jobSectionHeader">Ideal Experience</h3>
<ul><li>Hands-on experience on visual, audio or multimodal pretraining.</li>
<li>Track record in leading engineering that significantly improves the capability and performance of neural networks, whether better data or better modeling.</li>
<li>Experience in data-driven experiment designs and systematic analysis for iterative model debugging.</li>
<li>Experience in developing or working with large-scale distributed machine learning systems.</li>
<li>Ability to do whatever is necessary to deliver the best end-to-end user experience.</li>
</ul><h3 class="jobSectionHeader">Tech Stack</h3>
<ul><li>Python</li>
<li>Jax</li>
<li>Rust</li>
</ul><h3 class="jobSectionHeader">Interview Process</h3>

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (&quot;intro call&quot;) during which a member of our team will ask some basic questions. If you clear the initial , you will enter the main process, which consists of four technical interviews:
<ul>
<li>One-on-one engineering discussion &amp; coding interviews (three meetings total)</li>
<li>Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.</li>
</ul>
Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.
<h3 class="jobSectionHeader">
Location</h3>

The role is based in the New York area. Candidates are expected to be located near the New York City area or open to relocation.
<h3 class="jobSectionHeader">
Annual Salary Range</h3>

$180,000 - $440,000 USD
<h3 class="jobSectionHeader">
Benefits</h3>

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.<div>
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.</div></div>

Member of Technical Staff, Multimodal Understanding (Visual / Audio)

Blue Owl Capital

<div>
 Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives&reg;.
 
 
 With over $295 billion in assets under management as of September 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation.
 
 
 Together with approximately 1,365 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com
 
 
 
 The Role
 
 
 
 We are looking for a versatile Data Scientist to work across multiple investment verticals, including liquid credit, insurance, direct lending, and other alternative strategies. This role provides exposure to diverse asset classes and requires adaptability, intellectual curiosity, and strong technical foundations.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with teams across the firm to scope and deliver data-driven solutions.
 </li>
 <li>
 Develop flexible Python-based tools to support portfolio monitoring, alpha generation, and risk management.
 </li>
 <li>
 Apply machine learning and statistical techniques to large-scale financial datasets.
 </li>
 <li>
 Design scalable dashboards and visualizations to support investment workflows.
 </li>
 <li>
 Conduct ad hoc analyses across asset classes and product groups.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a STEM discipline.
 </li>
 <li>
 Complete fluency in Python; strong experience with pandas, NumPy, scikit-learn.
 </li>
 <li>
 Demonstrated interest in financial markets and investing.
 </li>
 <li>
 2&ndash;4 years of professional experience in data science, analytics, or financial modeling.
 </li>
 <li>
 Strong problem-solving skills and ability to deliver practical, usable outputs across domains.
 
 
 </li>
 </ul>
 It is expected that the base annual salary range for this New York City-based position will be $125,000 to $175,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
 
 
 Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
</div>

Data Science - Generalist, Senior Associate / Associate

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 Customer Analytics Senior Consultant
 
 
 As a
 
 Data Scientist
 
 within the
 
 Customer Analytics Advisory
 
 team at Capgemini Invent, you will play a pivotal role in helping clients transform and optimize their operations by leveraging insights from customer, commercial, and operational data. You will advise clients on the design, development, and deployment of advanced analytics and AI solutions that drive measurable business value.
 
 
 
 Responsibilities
 
 
 
 
 Client Advisory &amp; Solution Design
 
 
 
 <ul>
 <li>
 Lead the definition and development of customer analytics and data science solutions.
 </li>
 <li>
 Advise clients on solution architecture, implementation strategies, and best practices.
 </li>
 <li>
 Conduct workshops to identify business pain points, define solution paths, and co-create innovative analytics strategies.
 
 
 </li>
 </ul>
 
 Technical Implementation
 
 
 
 <ul>
 <li>
 Build and deploy machine learning models, customer segmentation algorithms, and predictive analytics solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate analytics into business processes and platforms.
 </li>
 <li>
 Ensure quality assurance, testing, and successful roll-out of analytics solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Statistics, Computer Science, Engineering, or a related STEM field.
 </li>
 <li>
 Proven experience in customer analytics, commercial insights, or operational data science.
 </li>
 <li>
 Strong ability to translate complex data into actionable business insights and recommendations.
 </li>
 <li>
 Hands-on experience with data science tools and programming languages such as Python, SQL, R, or MATLAB.
 </li>
 <li>
 Familiarity with AI/ML techniques, data visualization tools, and cloud platforms.
 </li>
 <li>
 Experience in delivering analytics use cases in industries such as Consumer Products, Retail, Manufacturing, Life Sciences, or Energy &amp; Utilities.
 </li>
 <li>
 Agile project delivery experience and understanding of consulting methodologies.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization
 
 
 </li>
 </ul>
 WHAT YOU&rsquo;LL LOVE ABOUT WORKING HERE?
 
 
 
 
 Empowerment:
 
 
 
 At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Lead the change and take initiative
 </li>
 <li>
 Find the work-life balance that suites us
 </li>
 <li>
 Craft or own path through learning and career development programs
 
 
 </li>
 </ul>
 
 
 Energy:
 
 
 
 At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Connect as a global community of 13,000+ colleagues worldwide
 </li>
 <li>
 Celebrate our diverse perspectives and draw from strength from our differences
 </li>
 <li>
 Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes
 
 
 </li>
 </ul>
 
 
 Experiences
 
 
 
 : At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Work internally and with clients to make a difference
 </li>
 <li>
 Push boundaries to reimagine what&rsquo;s possible
 </li>
 <li>
 Work to build a more sustainable and inclusive future
 
 
 </li>
 </ul>
 The base compensation range for this role in the posted location is: $112,600 - $212,700
 
 
 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
 
 
 The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
 
 
 These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
 
 
 It is not typical for candidates to be hired at or near the top of the posted compensation range.
 
 
 In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
 
 
 
 Benefits
 
 
 
 
 Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
 
 In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
 
 
 <ul>
 <li>
 Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
 </li>
 <li>
 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
 </li>
 <li>
 Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Employee assistance programs
 </li>
 <li>
 Other benefits as provided by local policy and eligibility
 
 
 </li>
 </ul>
 
 Important Notice:
 
 Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
 
 
 
 Disclaimers
 
 
 
 Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
 
 
 Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Capgemini Invent, Customer Analytics Sr. Consultant

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job Responsibilities<ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities , and skills:<ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director Machine Learning Center of Excellence

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon&rsquo;s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.
 
 
 Our mission is to deliver magical support experiences &mdash; AI agents working alongside human agents to help users resolve their issues.
 
 
 
 About The Role
 
 
 
 On the Agent Engineering team, you&rsquo;ll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You&rsquo;ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users&rsquo; needs with reliable and intuitive AI agents.
 
 
 Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
 </li>
 <li>
 Identify cross-customer trends that guide the evolution of Decagon&rsquo;s agent building platform and research efforts
 </li>
 <li>
 Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 Have 2+ years of industry experience in software engineering
 </li>
 <li>
 Proficiency with Python, Typescript and asynchronous programming
 </li>
 <li>
 A high degree of comfort digging into system failures within deep technology stacks using any tool necessary
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Prior experience working with multi-modal models
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision benefits
 </li>
 <li>
 Take what you need vacation policy
 </li>
 <li>
 Daily lunches, dinners and snacks in the office to keep you at your best
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 $185K &ndash; $275K + Offers Equity
</div>

Agent Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer

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