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applied ai engineer

Edra

<div>
 <strong>
  About Edra
  <br/>
  <br/>
 </strong>
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 <br/>
 <br/>
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for Backend Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and systems that are a pleasure for other engineers to work with. You won't be building AI models, you'll be building everything around them: the platform, workflows, interfaces, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 <br/>
 <br/>
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build platform systems in Python (Fast API), from API contracts to database schema and infrastructure
  </li>
  <li>
   Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
  </li>
  <li>
   Build internal libraries, tooling, and interfaces that make the rest of the engineering team more productive
  </li>
  <li>
   Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets
  </li>
  <li>
   Wear multiple hats across the stack&ndash;you might design a schema in the morning, build the API layer in the afternoon, and debug a deployment issue before end of day
  </li>
  <li>
   Participate in weekly product meetings, understand how customers and forward deployed engineers use what you build, and shape what gets built next
  </li>
  <li>
   Collaborate daily with a small, high-caliber team of engineers and AI specialists
  </li>
  <li>
   Have direct influence on technical direction: choose tools, set patterns, and establish conventions the team will build on for years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in software engineering (but a computer science degree is not necessarily required)
  </li>
  <li>
   A love of writing Python and/or TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
  </li>
  <li>
   Experience building libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
  </li>
  <li>
   You light up when designing a clean database schema and take real pride in getting data models right
  </li>
  <li>
   You're at your best when you own a problem end to end &mdash; comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
  </li>
  <li>
   You're drawn to building foundational systems from scratch &mdash; greenfield work where your decisions compound over time excites you
   <br/>
   <br/>
  </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 <br/>
 <br/>
 <strong>
  Learn More About Edra
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Watch our Series A announcement video
  </li>
  <li>
   Read our blog post from our launch
  </li>
  <li>
   Learn more about what we're building
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Few Details
  <br/>
  <br/>
 </strong>
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 <br/>
 <br/>
 Compensation Range: $195K - $275K
 <br/>
 <br/>
</div>


Software Engineer - Back End (New York)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge 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>
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.<br>
<br>
Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
<br>
<br>
Articulate potential scientific challenges of ongoing or future customers&rsquo; needs or business problems, and present interventions to address them.<br>
<br>
Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best
<br>
<br>
A day in the life<br>
As an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.<br>
<br>
About the team<br>
The Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, &amp; personal.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III, Sponsored Products

Aircall

<p></p><div><div><p><div><div><div><b>New York Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div>
<div></div>
<div>Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div>
<div></div>
<div>Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div>
<div>At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div>
<div></div>
<div><b>How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><br>
<div><b>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div>
<div></div>
<div>In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Your missions @ Aircall:</b></h3><div><div><div>
<ul><li>Partner with GTM stakeholders to translate business questions into reliable, scalable data products.</li>
<li>Provide actionable insights and compelling narratives to influence major decisions at the C-level.</li>
<li>Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.</li>
<li>Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>A little more about you:</b></h3><div><div><div>
<ul><li>2+ years of hands-on experience in a high growth environment</li>
<li>Proficiency in SQL for deriving insights</li>
<li>Proficiency in Python</li>
<li>Hands-on Looker/LookML experience</li>
<li>Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels</li>
<li>You have an insatiable curiosity and are biased toward action</li>
</ul></div></div></div></div></div><div><div>$140,000 - $180,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div><b>
Why join us?</b></div>
<div></div>
<div>   Key moment to join Aircall in terms of growth and opportunities</div>
<ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul>
<div>   Fast-learning environment, entrepreneurial and strong team spirit</div>
<div>   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div>
<div>   Competitive salary package &amp; benefits</div>
<div>   Medical, dental, and vision insurance is 100% covered</div>
<div>   401k plan with company matching!</div>
<div>✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div>
<ul><li>️ Wellness, commuter, and childcare reimbursements</li></ul>
<div>   Generous parental leave policy</div>
<div></div>
<div>DE&amp;I Statement:</div>
<div>At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div>
<div></div>
<div>We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div>
<div></div>
<div>We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div>
<div></div>
<div>Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Data Scientist

Giga

<div>
 <strong>
  About Giga
  <br/>
  <br/>
 </strong>
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 <br/>
 <br/>
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 <br/>
 <br/>
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 <br/>
 <br/>
 <ul>
  <li>
   Voice AI startup Giga raises $61M Series A
  </li>
  <li>
   DoorDash and Giga Partnership
   <br/>
   <br/>
  </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 <br/>
 <br/>
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 <br/>
 <br/>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 You'll contribute to projects across our stack. Some examples:
 <br/>
 <br/>
 <ul>
  <li>
   Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
  </li>
  <li>
   Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
  </li>
  <li>
   Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  </li>
  <li>
   Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
   <br/>
   <br/>
  </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 <br/>
 <br/>
 <strong>
  You Might Be a Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 1-3 years of professional software engineering experience
  </li>
  <li>
   Are curious and ask good questions&mdash;you want to understand why things work, not just how
  </li>
  <li>
   Can take feedback well and iterate quickly
  </li>
  <li>
   Prefer shipping over perfection but still care about quality
  </li>
  <li>
   Want to grow at a startup where you'll have real responsibility early
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive base + bonus + equity
  </li>
  <li>
   Catered lunch daily
  </li>
  <li>
   Dinner stipend
  </li>
  <li>
   $500/month wellness &amp; commuter benefit (gym, fitness classes, mental health)
  </li>
  <li>
   401(k) plan
  </li>
  <li>
   Medical, dental, and vision coverage
   <br/>
   <br/>
  </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Compensation Range: $160K - $250K
 <br/>
 <br/>
</div>


Software Engineer I / II

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern <b>LLM-based</b> methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are <b>reliable, secure, and scalable</b> in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.</p>
<p>As an <b>Applied AI/ML Vice President</b> in our <b>AI for Operations</b> organization, you will help design, build, and scale <b>cutting-edge Natural Language Processing (NLP)</b> solutions that improve experiences for both <b>customers</b> and <b>internal agents</b> supporting the bank's day-to-day operations. You'll work hands-on across the end-to-end model lifecycle&mdash;partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.</p>
<p><b>Job Responsibilities:</b></p>
<ul><li>Oversee the analysis of complex datasets to inform decisions on real-world applications.</li><li>Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
</li><li>Supervise data analysis activities and ensure effective visualizations are provided.</li><li>Ensure the writing and deployment of software code in production systems is efficient and meets standards.</li><li>Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
</li><li>Communicate complex issues clearly and credibly to senior management and stakeholders.
</li><li>Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.</li></ul>
<div><b>Required qualifications, capabilities and skills:</b><br>
<ul><li>Master's degree in computer Science, Machine Learning, or a related field with 4+ years experience OR Ph.D in computer Science, Machine Learning, or a related field with 2+ year of experience.
</li><li>Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
</li><li>Solid understanding of core CS concepts, including common data structures and algorithms.</li></ul></div>
<div><b>Preferred qualifications, capabilities and skills:</b><br>
<ul><li>Experienced in conducting design and code reviews.</li><li>Proficient in cloud environments such as AWS, GCP, or Azure.</li><li>Experienced in managing and deriving insights from large, both unstructured and structured datasets.</li></ul></div><br>
<p></p><p><br>
&ldquo;This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.&rdquo;</p>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><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><p></p><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' and employees' 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></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AI ML-Vice President

The New York Times

<div><div><div><div><div><div><p><b>The </b><b>mission</b><b> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.</b></p>
</div>
</div></div></div></div><p><b>About the Role, Mission or Department Overview</b></p>
<p>
The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.</p><br>
<p></p>
<p>
You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.</p>
</li>
<li><p>You will fine-tune and evaluate language models for custom use cases and content enrichment.</p>
</li>
<li><p>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important</p>
</li>
<li><p>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs</p>
</li>
<li><p>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches</p>
</li>
<li><p>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups</p>
</li>
<li><p>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</p></li></ul><br>
<p>
</p><p><b>Basic Qualifications:</b></p>
<ul>
<li><p>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline</p>
</li>
<li><p>2+ years experience with open source machine learning or statistical analysis tools</p>
</li>
<li><p>2+ years coding experience in Python</p>
</li>
<li><p>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis</p>
</li>
<li><p>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</p></li></ul><br>
<p>
</p><p><b>Preferred Qualifications:</b></p>
<ul>
<li><p>1+ years of experience with information retrieval or search systems</p>
</li>
<li><p>1+ years of experience translating ambiguous business questions into machine learning problems</p>
</li>
<li><p>1+ years of experience building data products, either internal or consumer-facing</p>
</li>
</ul><p>REQ-020337</p><p></p><div><p><br>
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.</p>
<p>
For roles outside of the U.S., information on benefits will be provided during the interview process.</p>
<p>
We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.</p>
<p>
If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.</p>
<p>
The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p>
<p>
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.</p>
<p>
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p>
<p>
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p>
<p>
For information about The New York Times' privacy practices for job applicants click here.</p>
<p>
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p>
<p>
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</p></div></div><p></p>

Machine Learning Scientist, New AI Products and Platforms

T-Mobile

<div><p>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!</p><p></p>
At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.<br>
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We are seeking a creative, and curious Senior Applied Scientist to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale.<br>
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We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.<p></p><div><div><div><div><div><div><div><div><div><p><b>
Job Responsibilities</b>:</p><ul><li><p>
Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.</p></li><li><p>
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.</p></li><li><p>
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.</p></li><li><p>
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.</p></li><li><p>
Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
</p></li></ul><p></p><p><b>Education and Work Experience</b>:</p><ul><li><p>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</p></li><li><p>
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)</p></li><li><p>
4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)</p></li><li><p>
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)</p></li><li><p>
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)</p></li><li><p>
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)</p></li></ul><p><b><br>
Knowledge, Skills and Abilities</b>:</p><ul><li><p>
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.</p></li><li><p>
Advanced knowledge of cloud-based services (GCP, AWS)</p><p>
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.</p></li><li><p>
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.</p></li><li><p>
Experience operating production machine learning and data systems in cloud and containerized environments.</p></li><li><p>
Experience in AdTech and GIS or geospatial data processing is a plus.</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><ul><li><p>
At least 18 years of age</p></li><li><p>
Legally authorized to work in the United States</p></li></ul><p></p><p><b>
Travel</b>:<br>
Travel Required (Yes/No): No<br>
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<b>DOT Regulated</b>:<br>
DOT Regulated Position (Yes/No): No<br>
Safety Sensitive Position (Yes/No): No</p><p></p>
Base Pay Range: $116,500 - $210,100<p></p>
Corporate Bonus Target: 15%<p></p><p>
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.</p><p></p>
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.<p></p><p>
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out <i>www.t-mobilebenefits.com</i><i>.</i></p><p></p><p>
Never stop growing!<br>
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable!<br>
<br>
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.<br>
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Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</p></div>

Senior Applied Scientist

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