software engineer

process engineer

ai engineer

MLabs

<div>
 <strong>
  Location:
 </strong>
 Williamsburg, Brooklyn, NYC (100% On-site)
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 $150,000 - $225,000 (Base Salary) + Competitive Equity
 <br/>
 <br/>
 We are building the future of digital advertising, transforming the $600B ecosystem by enabling brands to buy creator media like they buy Meta or Google ads. Our
 <strong>
  AI-native platform
 </strong>
 delivers performant, scalable, and authentic creator-led marketing, compressing weeks of manual sponsorship work into seconds. Backed by top-tier VCs and named to Forbes' list of Next Billion Dollar Startups, we are seeking a
 <strong>
  Senior Software Engineer
 </strong>
 to join as a foundational member of the engineering team.
 <br/>
 <br/>
 As a Senior Software Engineer, you will work directly with our founders, designing, building, and launching new product features from the first line of code to production. You will have significant autonomy and ship real functionality every week, tackling complex engineering problems that directly shape our product and business outcomes.
 <br/>
 <br/>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Full-Stack Feature Ownership: Design, build, and launch high-quality, maintainable products across the entire stack, from the client to the server, using React/Next.js for the frontend and Python/Django/Postgres for the backend
  </li>
  <li>
   Complex Problem Solving: Tackle complex challenges in marketplace design, multimodal content understanding with large models (AI), and high-performance campaign optimization
  </li>
  <li>
   Architectural Influence: Contribute to major technical decisions, ensuring systems are scalable, performant, and reliable in a high-growth environment
  </li>
  <li>
   Rapid Execution: Move with speed and efficiency, delivering functional features weekly with full autonomy over project planning and execution
  </li>
  <li>
   Business Impact: Work in an environment where technical decisions directly shape product direction and business outcomes, redefining the infrastructure for creator-led performance media
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 4+ years of experience as a strong generalist software engineer building and scaling high-quality, maintainable products from the client to the server
  </li>
  <li>
   Full-Stack Proficiency: Experience with our core tech stack: React/Next.js for the client and Python/Django/Postgres for the backend
  </li>
  <li>
   Environment: Experience in early-stage or high-growth startup environments, comfortable with fast execution and high ownership
  </li>
  <li>
   System Design: Ability to tackle and architect solutions for complex engineering problems, including marketplace dynamics and high-performance systems
  </li>
  <li>
   AI Familiarity: Experience or strong excitement for working with AI, large models, and multimodal content understanding in a production setting
  </li>
  <li>
   Mindset: Excited by ownership, fast execution, and driving real-world impact at a generational company
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Equity &amp; Compensation: Competitive salary ($150,000 - $225,000) and a competitive equity package for an early-stage company backed by Benchmark and Craft
  </li>
  <li>
   Impact &amp; Ownership: Rare opportunity to get in early and redefine a $600B digital ad market alongside the founders
  </li>
  <li>
   Work Policy: 100% On-site work in our office in Williamsburg, Brooklyn, NYC to foster deep collaboration
  </li>
  <li>
   Office Perks: Lunch provided 3 days/week (Mondays, Wednesdays, and Fridays)
  </li>
  <li>
   Unique Perk: Employees receive a $100 monthly allowance to spend on the company's brand clients (e.g., Uber, DoorDash, Bombas) while using the company's product
  </li>
  <li>
   Health: Comprehensive healthcare coverage including medical, dental, and vision
  </li>
  <li>
   Retirement: 401K plan
  </li>
  <li>
   Visa Support: Visa sponsorship is not available for this position
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
  <br/>
  <br/>
 </strong>
 <strong>
  Commitment to Equality and Accessibility:
  <br/>
  <br/>
 </strong>
 At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
 <br/>
 <br/>
 MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
</div>


Senior Software Engineer

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API.
 <br/>
 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Our users include everyday enthusiasts as well as professionals for ChatGPT, and everyone from hobbyists to large enterprises for the OpenAI API &mdash; you&rsquo;ll interface directly with users to develop the features they want most! You will also collaborate closely with the research teams that created the core models and work with them on continual improvement. You will be a key part of the effort to push these technologies forward, and onto the next 100x users.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end
  </li>
  <li>
   Talk to users to understand their problems and design solutions to address them
  </li>
  <li>
   Work with the research team to get relevant feedback and iterate on their latest models
  </li>
  <li>
   Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products
  </li>
  <li>
   Optimize applications for speed and scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Background Looks Something Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of relevant engineering experience at tech and product-driven companies
  </li>
  <li>
   Proficiency with JavaScript, React, and other web technologies
  </li>
  <li>
   Proficiency with some backend language (we use Python)
  </li>
  <li>
   Some experience with relational databases like Postgres/MySQL
  </li>
  <li>
   Interest in AI/ML (direct experience not required)
  </li>
  <li>
   Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $255K - $405K
</div>


Software Engineer, Full-Stack

Spotify

<div><div><div><div><div><div>Engineering</div></div></div><div><div>
Machine Learning</div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
The Personalization team at Spotify aims to make content discovery effortless and enjoyable for every listener. By deeply understanding music, podcasts, audiobooks, and videos, we deliver exceptional recommendations that keep millions of people worldwide engaged with our products daily. Our work spans experiences like Home, Search, curated playlists such as Discover Weekly and Daylist, and cutting-edge innovations including AI DJ and AI Playlists.</div></div><div><div><div><br>
</div><div>Home plays a pivotal role in shaping the technical vision and architecture of recommendation systems that power the Spotify Home page. You&rsquo;ll work on foundational components that enable the larger Home experience, user activation, listening habits across content types, and expanding its technology to take advantage of LLMs and other Generative Recommender products. As a Staff Machine Learning Engineer in Home, you&rsquo;ll focus on recommender systems modeling at the intersection of generative recommenders and a foundational understanding of user taste across music and talk content.
</div><div></div><br>
<div>You will define and execute the ML technical strategy for Home, building the next generation of Spotify&rsquo;s recommendation systems, user representations, and supporting technical architecture. Join us and you&rsquo;ll help millions of users discover and connect with the world&rsquo;s audio content every day.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Define and drive the ML technical strategy for Home, focusing on generative recommendation approaches</li><li>
Build models that improve user representations, personalization, and relevance across Spotify&rsquo;s experiences</li><li>
Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering</li><li>
Prototype and productionize new modeling approaches at scale, serving hundreds of millions of users worldwide</li><li>
Lead high-impact projects from ideation through deployment, setting best practices for ML development, testing, evaluation, and experimentation</li><li>
Partner with tech leaders and stakeholders to influence priorities and ensure long-term scalability and impact</li><li>
Stay engaged with the broader ML and Search research community, applying emerging trends to Spotify&rsquo;s challenges</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have a strong background in machine learning and recommender systems, bridging research and user impact</li><li>
You have hands-on experience training and operating transformer models in production, or strong interest in doing so</li><li>
You have production experience developing large-scale ML systems in Java, Scala, Python, or similar languages. Experience with PyTorch or TensorFlow is a strong plus</li><li>
You are comfortable navigating ambiguity and leading high-impact projects from start to finish</li><li>
You&rsquo;re a systems thinker and strong communicator who can align and influence technical and product stakeholders</li><li>
You care deeply about agile processes, data-driven development, and reliability.You&rsquo;re eager to apply emerging ML trends, particularly in LLMs and generative recommenders, to Spotify&rsquo;s challenges</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.</li><li>
This team operates within the Eastern Standard time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $215,136- $307,337 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Staff Machine Learning Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
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.</p><p>
As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community.</p><p>
</p><p><b>Job responsibilities</b></p><ul>
<li>Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning</li>
<li>Collaborate with internal and external researchers and with applied engineering teams</li>
<li>Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research</li>
<li>Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals</li>
<li>Participate in relevant top-tier academic conferences to broaden the impact of your contributions</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul>
<li>PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field</li>
<li>Research publications in prominent AI venues; e.g., conferences, journals</li>
<li>Strong expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, &hellip;</li>
<li>Optional: expertise in synthetic data, generative AI, protecting our customers clients and institutional knowledge (e.g., differential privacy, machine unlearning, membership/reconstruction attacks), LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series reasoning and foundational models)</li>
<li>Proficiency with rapid prototyping and disciplined software development processes</li>
<li>Expertise in software engineering within collaborative project settings</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul>
<li>Extensive programming skills in Python (required), Java or C++ (optional)</li>
<li>Interest in problems related to the financial services domain (specific past experience in the domain is not required)</li></ul>
<b>ABOUT US</b><br>
<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><p></p><div><p>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.
</p><div><p>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.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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>

AI Research Scientist-Sr. Associate

Blossom

<div>
 Blossom Health exists to
 <strong>
  solve the mental health epidemic
 </strong>
 in America by partnering with psychiatrists to expand access to affordable, timely, clinically-effective mental healthcare. Our
 <strong>
  AI-native care platform
 </strong>
 is loved by hundreds of clinicians and thousands of patients.
 <br/>
 <br/>
 We&rsquo;re a
 <strong>
  Series A
 </strong>
 company with
 <strong>
  $20M+ raised
 </strong>
 from Headline, Village Global, and the founders of General Catalyst, Flatiron Health, Sword Health, Grow Therapy, Fay, Elemy, Zip, Blank Street, Assured, Bridge, Birches Health, and Enzo Health.
 <br/>
 <br/>
 <strong>
  <strong>
   Why you should work here:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   🚀 Hyper-growth environment: Get firsthand exposure to how a startup scales from 0&rarr;1&rarr;n, with visibility across product, engineering, and operations
  </li>
  <li>
   🤝 High trust and autonomy: You&rsquo;ll own meaningful projects from day one and shape both technical decisions and product direction. We trust engineers to figure out the best path forward - without micromanagement.
  </li>
  <li>
   🧠 Talent-dense team: Work with a top-percentile team built on mutual respect and admiration, with shared goals, motivations, and vision for the future.
  </li>
  <li>
   ⚡ Real impact: Your code will directly improve access to mental health care for thousands of patients and clinicians
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What we're looking for:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Highly motivated, ambitious, and capable - looking to tackle a large, meaningful problem area
  </li>
  <li>
   Ownership mindset - thinking for the long-term and placing the business and our customers first
  </li>
  <li>
   High velocity and high excellence - have a real sense of urgency to move quickly and take pride in the quality of your work
  </li>
  <li>
   An explorer - comfortable with ambiguity and autonomy, seeking to answer questions previously unasked, to leap into the unknown
  </li>
  <li>
   An optimist - you believe in a tomorrow better than today
  </li>
  <li>
   A builder - you take joy in bringing new creation to the world, in leveraging technology to make useful things
  </li>
  <li>
   Humble - you use your gifts in the service of others and understand that success is an output, not an input
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What you'll do:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design and build scalable, reliable systems powering core product workflows
  </li>
  <li>
   Ship high-quality code that balances speed and technical rigor
  </li>
  <li>
   Proactively identifying and resolving system reliability risks, owning uptime, observability, and performance as first-class engineering concerns
  </li>
  <li>
   Leverage cutting-edge AI to create intuitive and novel clinician and patient experiences
  </li>
  <li>
   Conduct thoughtful code reviews and provide technical mentorship, raising the bar for engineering excellence across the team and beyond
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You'll thrive here if you:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Have a bachelor's degree or equivalent experience in Computer Science or related field
  </li>
  <li>
   Have 2+ years of professional working experience outperforming in high-quality environments
  </li>
  <li>
   Excel at building production systems end-to-end with minimal oversight
  </li>
  <li>
   Are fluent in TypeScript and/or Python (experience with LLM-powered apps preferred)
  </li>
  <li>
   Are comfortable with traversing the software stack and picking up the latest technologies to drive technical outcomes
  </li>
  <li>
   Love autonomy, ambiguity, and ownership
  </li>
  <li>
   Are authorized to work in the U.S. and excited to be in-person in NYC (SoHo) 5 days a week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Benefits:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Competitive salary, equity, growth opportunities
  </li>
  <li>
   Best-in-class health, dental, and vision insurance
  </li>
  <li>
   A focus on outcomes, not hours, with unlimited PTO
  </li>
  <li>
   Team outings, offsites, and a sunny SoHo office stocked with snacks
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $150K - $220K
 <br/>
 <br/>
</div>


Software Engineer, All Levels

Software Engineer, Machine Learning

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
<br>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
As a Software Development Engineer in Machine Learning, you will:
<br>
<ul><li>Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.</li><li>Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.</li></ul><br>
About the team<br>
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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>
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.<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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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>

Sr. Software Dev Engineer, Sponsored Products and Brands Ads Response Prediction

Explore 194+ Ai engineer in New York this November. Find roles across top companies and apply now to boost your career.