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applied scientist, agentic ai professional services

machine learning engineer personalization

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
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Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
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As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
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We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
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Key job responsibilities<br>
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul><br>
A day in the life<br>
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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>
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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>
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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>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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>

Machine Learning Engineer - Personalization

Uber

<div><b>About the Role</b>
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Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
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If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
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We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
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<b>About the Team</b>
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Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
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Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
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Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
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<b>What You'll Do</b>
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul><b>Basic Qualifications</b>
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul><b>Preferred Qualifications</b>
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

Kentan Staffing Solutions

<div><div><div><b>Title: Go-To-Market (GTM) Development Engineer
</b></div><div>Contract Details:
</div><div>Location: Fully Remote (NYC - occasional travel)
</div><div>Type/Duration: Contract for 6+ months and potential to become contract to hire
</div><div>Start: ASAP
</div><div>Candidates Considered: USC and GC Holders
</div><div>Rate: They said market rate...need to do some recruiting to figure it out.<br>
</div><div></div><div><b>About the Company
</b></div><div>Our client is a fast-growing consumer products and eCommerce company where team members wear many hats and move quickly. Unlike large organizations with siloed functions, we are building new capabilities in-house to accelerate our go-to-market strategy, optimize digital performance, and enable data-driven decision-making.
</div><div><b>About the Role
</b></div><div>The <b>Go-To-Market (GTM) Development Engineer </b>will be a key hire in standing up a new function within our organization. This role combines front-end development, analytics, and marketing technology integration to support rapid go-to-market execution. You will work across marketing, sales, and technology to design, test, and optimize customer-facing digital experiences that drive measurable business results.
</div><div>This is a highly hands-on, entrepreneurial role - perfect for someone with experience in <b>smaller, fast-paced eCommerce/CPG environments </b>who thrives on building and iterating quickly.
</div><div><b>Key Responsibilities
</b></div><ul><li><div><b>Rapid Prototyping &amp; MVP Development: </b>Support quick iteration of landing pages, microsites, and customer-facing digital assets.
</div></li><li><div><b>Front-End Development: </b>Build and maintain scalable, performant, and SEO-optimized user experiences.
</div></li><li><div><b>MarTech &amp; CRM Integrations: </b>Connect marketing systems, business applications, and APIs to improve data flow and customer engagement.
</div></li><li><div><b>Analytics &amp; Data Enablement: </b>Implement and manage tools (Google Analytics, Ruby, or similar) to capture actionable insights; enable marketing and sales teams to leverage data for decision-making.
</div></li><li><div><b>A/B Testing &amp; Conversion Rate Optimization (CRO): </b>Lead testing initiatives to improve campaign performance, conversion rates, and user experience.
</div></li><li><div><b>Performance &amp; SEO Optimization: </b>Ensure digital experiences are optimized for speed, search visibility, and usability.
</div></li><li><div><b>Collaboration with Sales &amp; Marketing: </b>Partner cross-functionally to align technical execution with GTM campaigns and initiatives.
</div></li><li><div><b>Thought Leadership: </b>Provide input on data-driven marketing practices, analytics strategies, and personalization enablement.
</div></li></ul><div><b>Required Qualifications
</b></div><ul><li><div>5&ndash;10 years of experience in <b>eCommerce and CPG industries </b>(experience in ~$300&ndash;400M revenue companies strongly preferred).
</div></li><li><div>Proven experience in <b>front-end development </b>and integrating with marketing tools and business applications.
</div></li><li><div>Strong background in <b>analytics, SEO, and performance optimization </b>.
</div></li><li><div>Hands-on expertise with <b>A/B testing, CRO tools, and digital analytics platforms </b>.
</div></li><li><div>Familiarity with <b>Builder.io </b>(CMS) and integrations with related applications (highly preferred).
</div></li><li><div>Ability to thrive in a <b>smaller, entrepreneurial environment </b>where versatility and initiative are critical.
</div></li><li><div>Strong communication skills, with the ability to work across technical and business teams.
</div></li></ul><div><b>Preferred Qualifications
</b></div><ul><li><div>Experience with rapid prototyping tools and MVP development.
</div></li><li><div>Knowledge of personalization platforms and advanced data enablement strategies.
</div></li><li><div>Track record of thought leadership in analytics and marketing technology.</div></li></ul></div></div>

Go-To-Market (GTM) Development Engineer

Product Security Engineer, Intern

Flatfile

<div><div><p>Location</p><div>
New York City</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div>
Engineering</div></div><div><p>
Compensation</p><ul><div><p>
Estimated Base Salary $220K &ndash; $300K &bull; Offers Equity</p></div></ul><div><div>
In accordance with applicable law, the following represents Flatfile's reasonable estimate of the range of possible compensation for this role if hired in Colorado.</div></div></div></div>
<br><div><div><p>Overview</p><p>
</p></div><div></div><div><div><div>About Flatfile</div><p>
Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.</p><p></p><p>
What is an &quot;AI Engineer&quot; at Flatfile</p><p>
You&rsquo;ll work at the intersection of conventional software engineering and machine learning, focusing on applying AI to solve real-world problems rather than fundamental ML research.</p><p>
As James Brady from Elicit notes: &quot;If you're a software engineer who relishes the more difficult parts of backend code&mdash;like concurrency, fault-tolerance, and distributed systems&mdash;you could be a great AI engineer.&quot;</p><p></p><p><b>
This role reports to: </b>Jon Bell, VP of Product</p><p></p><p>
What you'll do</p><ul><li><div>
You'll own critical parts of our AI-powered data platform</div></li><li><div>
Design and implement robust backend services that integrate with various AI models for data understanding and transformation</div></li><li><div>
Build fault-tolerant systems that can handle the high latency and variance inherent in working with large language models</div></li><li><div>
Create streaming architectures for real-time AI processing of customer data</div></li><li><div>
Develop evaluation frameworks to measure and improve our AI features' accuracy and reliability</div></li><li><div>
Work closely with our product team to prototype and ship new AI capabilities</div></li><li><div>
Help learn and establish best practices for AI development at Flatfile</div></li><li><div>
You&rsquo;ll also get to write some good old-fashioned code and ship more traditional software features too :)</div></li><li><div>
Oh, and we all fix bugs</div></li></ul><p></p><p><b>
Our tech stack</b></p><p>
In this role, you&rsquo;ll use LangGraph, various LLMs and open source models, React, Typescript, our in-house design system Baseline, Node (Nest.js), Prisma, Postgres, Git, Flatfile&rsquo;s homegrown data engine, and utilize AI for performance gains on a daily basis.</p><p></p><p>
What you bring to the role</p><p><b>
Essential</b></p><ul><li>Experience building production backend systems</li><li>Strong computer science fundamentals, especially in distributed systems</li><li>Experience handling asynchronous workflows and building resilient services</li><li>Genuine enthusiasm for AI technology and its practical applications</li><li>Track record of shipping customer-facing features</li></ul><p></p><p><b>
Great to have</b></p><ul><li>Experience working with LLMs in production environments</li><li>Background in data processing or ETL systems</li><li>Familiarity with AI model deployment and optimization</li><li>Experience with streaming architectures</li><li>Open source contributions to AI/ML tools</li></ul><p></p><p>
What you'll find at Flatfile</p><ul><li>A chance to shape the future of enterprise data automation</li><li>A highly collaborative, fast-paced engineering culture</li><li>Ownership of significant technical challenges and no PM overlords</li><li>The opportunity to work with cutting-edge AI technology</li><li>Competitive compensation and equity</li><li>A team of humble and audacious builders who take pride in their work</li></ul></div></div></div><p></p>

AI Engineer

Terra

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  <strong>
   Software Engineering Intern, Terra YC S24
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   Location (in-person, 5min from NYU campus): New York City, NY
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   Internship (20 hours per week, more available upon request). This is a paid position.
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   At Terra, we&rsquo;re building the simplest way for creators to design and sell their own products.
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   Our software has two aspects, the product design, and the storefront (customizeable by the creator).
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   As a Software Engineer, you&rsquo;ll be responsible for the design, development, and maintenance of a scalable Terra software ecosystem that will be used by people across the globe.
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    UI/UX across both the design and sale platform, along with maintenance of the Terra API to ensure security and usability
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    Get involved in product discussions with the team, and contribute useful features for our users.&nbsp;
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    Write clean, maintainable, and type-safe code.
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    Understanding the Terra software ecosystem in order to be able to identify the cause of problems and deliver fast solutions.
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    Work fast and correct. We are a startup, and iterate
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    extremely
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    fast, and you need to be able to keep up with our working pace.
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   Minimum qualifications:
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    Strong proficiency in TypeScript, with experience architecting and maintaining production-grade, large-scale systems.
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    Experience with component-driven UI development (Figma, design systems) to build scalable and maintainable interfaces, mobile first design skills.
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    Hands-on expertise in Next.js for building performant, SEO-optimized, and scalable web applications.
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    Experience with common npm libraries and tooling, including TanStack Query, Drizzle ORM, Supabase CLI, and modern state/data management patterns.
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    Proficiency with Git-based workflows (GitHub), Node.js runtime, and Docker for containerized environments.
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    Deep understanding of relational database design (PostgreSQL), including schema optimization, normalization/denormalization strategies, query performance tuning, and advanced security features (RLS, server-side transactions, encryption at rest/in-transit).
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    Experience with scalability patterns (caching, load balancing, distributed systems) and event-driven architectures (Redis, Upstash).
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</div>


Software Engineer Intern

<div><b>About the Role
</b><br>
<br>
We are looking for candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, and/or operations research to improve the Uber user experience as well as the overall marketplace performance. You'll be joining the Mobility Marketplace organization to design, evaluate, and build promotional products for drivers.
<br>
<br>
You will solve key business problems including designing incentives structures for drivers, measuring causal impacts of promotions, and creating ML-driven optimizations for marketplace growth. You will work hand in hand with product, engineering, and operations on new product launches, experiment design and algorithm development. We are a fast-moving team and are looking for creative and curious minds to join us!
<b>- What the Candidate Will Do -
</b><br>
<ul><li>Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
</li><li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
</li><li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
</li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.<br>
<li>
</li></ul><b>- Basic Qualifications -
</b><br>
<ul><li>B.S. in Statistics, Mathematics, Computer Science, or Machine Learning
</li><li>2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
</li><li>Strong problem-solving skills, with expertise in ML methodologies
</li><li>Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
</li>Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java<br>
<li>
</li></ul><b>- Preferred Qualifications -
</b><br>
<ul><li>3+ years of experience in software engineering specializing in applied ML methods
</li><li>Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
</li><li>Detail-oriented, ownership and truth-seeking mindset.
</li><li>Values and produces analytic evidence and insight, as well as applying them to improve technical solutions.
</li><li>Experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
</li>Master's degree in Computer Science, Engineering, Mathematics or related field<br>
<li>
</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Machine Learning Engineer II

Explore 250+ Machine learning engineer personalization in New York this September. Find roles across top companies and apply now to boost your career.