data engineer ii - quantumblack, ai by mckinsey

data analyst

data analyst - advertiser Jobs in New York

data analyst - advertiser

data engineer ii

data engineer ii - quantumblack, ai by mckinsey Jobs in New York

data reporting analyst

data scientist fraud

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 
 
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 
 
 ***We are open to remote candidates***
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
 </li>
 <li>
 Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
 </li>
 <li>
 Analyze complex datasets to uncover clear, actionable insights that shape product direction.
 </li>
 <li>
 Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
 </li>
 <li>
 Strong proficiency in SQL and Python.
 </li>
 <li>
 Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
 </li>
 <li>
 Skilled in designing, building, and maintaining dashboards and core product performance metrics.
 </li>
 <li>
 Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
 </li>
 <li>
 Excellent communicator with strong stakeholder-management skills across diverse teams.
 </li>
 <li>
 Background in fraud or risk domains &mdash; Nice to have.
 </li>
 <li>
 Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
 </li>
 <li>
 Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
 
 
 </li>
 </ul>
 $162,000 - $222,000 a year
 
 
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - New York City and San Francisco Bay Area
 
 
 Zone 2 - Los Angeles, Seattle, Washington D.C.
 
 
 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
 
 
 Zone 4 - Raleigh-Durham and all other US cities
 
 
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Data Scientist - Fraud

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action. 
 
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs. 
 
Key job responsibilities 
<ul><li>You will define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.</li></ul> 
<ul><li>You will establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.</li></ul> 
<ul><li>You will identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.</li></ul> 
<ul><li>You will collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.</li></ul> 
<ul><li>You will partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.</li></ul> 
<ul><li>You will set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.</li></ul> 
<ul><li>You will drive and lead a culture of data-driven innovations within the Amazon AdTech org.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Data Scientist II, ADSP Product Operations & Analytics

Brand & Tapply, LLC

Brand &amp; Tapply, LLC is a nationally-recognized insurance defense firm. Specializing in tort litigation, insurance fraud investigation and fraud litigation, Brand &amp; Tapply, LLC is seeking a full-time, remote NY-barred attorney available to handle cases and appear, if/when necessary, throughout NY though mainly in NYC. Submit resume to apply.Brand &amp; Tapply, LLC offers full-time employees a benefits package, including medical coverage, 401(k)/employer matching, life insurance/LTD/D&amp;D. Potential for annual bonus. Salary CWE.About Brand &amp; Tapply, LLC:Brand &amp; Tapply, LLC provides quality legal services to its insurance clientele throughout the US and have extensive experience investigating claims, prosecuting fraud and defending insurers and their insureds in all areas of insurance law, including commercial and personal automobile, property and casualty, subrogation, products liability, and municipal law. In addition, Brand &amp; Tapply, LLC's practice concentrates on first-party coverage, fraud investigation and litigation, lawsuits involving allegations of bad faith and unfair claims handling practices, personal injury defense, personal injury protection (PIP) litigation, declaratory judgment actions, and civil recovery suits against medical providers, auto body shops, towing facilities, and others.Job Type: Full-timePay: $89,000.00 - $160,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Referral program</li><li>Retirement plan</li></ul>Work Location: Remote

Attorney (remote) - NY-barred

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience.
 
</li><li>2 years of experience leading a research agenda.
 
</li><li>One or more scientific publication submission(s) for conferences, journals, or public repositories.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>2 years of coding experience.
 
</li><li>1 year of experience leading research efforts and influencing other researchers. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we&rsquo;re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Author research papers to share and generate impact of research results across function and in the research community. 
</li>
<li>Help in growing research business by sharing research trends and best practices within the community. 
</li>
<li>Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. 
</li>
<li>Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research. 
</li>
<li>Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Research Scientist, Google Research

Child Mind Institute

<div>About Child Mind Institute
We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. 
Position Details:
As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. 
You Will:<ul><li>
Procurement and development of multimodal dataacquisition protocols.</li><li>
Development, application, and refinement of analytic approaches for multimodal data.</li><li>
Prepare manuscripts for publication in peer-reviewed scientific journals.</li><li>
Prepare grant applications directly as principal and co-investigator.</li><li>
Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows).</li><li>
Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure.</li><li>
Formation and maintenance of collaborative relationships with scientific peers.</li><li>
Perform additional job-related responsibilities as assigned</li></ul> 
You Have:<ul><li>
PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable).</li><li>
5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting.</li><li>
5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required.</li><li>
5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments.</li><li>
2+ years of supervising experience by mentoring predoctoral trainees</li><li>
Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions.</li><li>
Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers.</li><li>
Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development.</li><li>
An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications.</li></ul> 
 #LI-hybrid. 
Our Benefits<div></div><div> 
Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.</div> 
Pay Range
The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. 
EEO Disclaimer
Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. 
We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. 
In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). 
Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org 
This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.</div>

Research Scientist

HUMAN Security

<div>The Media DevOps team builds and maintains the primary organs and arteries of our system. The team&rsquo;s mission is to consistently deliver a high-performance, cost-effective world-class infrastructure as a service (IaaS) that enables our security researchers, threat intel analysts, and data scientists to quickly and reliably detect malicious non-human activity. You will be helping solve a wide range of problems, from scaling the infrastructure to support Internet-scale levels of traffic to accelerating the delivery of new fraud defense techniques and stopping fraud in its tracks.
By joining this team at Human Inc, you will gain a deep understanding of how our products and services work, all the way from signal collection to customer reports, and be able to make a major impact on cleaning up the internet. You will oversee the evolution of a platform that will grow in scale by 100x (current volume is in PBs) to 1000x, ensuring that our services stay consistently reliable and performant at internet-scale. You will also be responsible for delivering new self-service capabilities that support the Media R&amp;D org, enabling your colleagues to respond to threats as quickly as possible.
Responsibilities:<ul><li>
Work with engineering, product management, executive stakeholders, and your team to define and deliver plans that improve platform stability, manage costs, and meet customer SLOs.</li><li>
Understand organizational strategy and goals, and help the team understand decision criteria so they can make prioritization decisions for their sprints and day-to-day work.</li><li>
Use your experience to help the team with critical architectural and delivery decisions.</li><li>
Guide the team in transitioning to Infrastructure as a Service from traditional cloud ops techniques.</li><li>
Accelerate Product development for Engineering and Research teams by simplifying and reducing friction points in the software development lifecycle.</li><li>
Define key performance indicators (KPIs) and metrics to measure the effectiveness and impact of the Media infrastructure and supporting FraudSensor and Mediaguard.</li><li>
Hire and develop technical talent.</li><li>
Foster a culture consistent with our brand, organizational values, user/customer focus, and passion for the web.</li></ul>
Requirements:<ul><li>
Have experience with large-scale data platforms (understands designs of distributed systems, experience with high-throughput systems, implications of automated delivery and support for high-complexity systems at scale, etc.)</li><li>
Experience managing strict low-latency requirements and SLAs</li><li>
Hands-on experience working with Kubernetes on-prem or with cloud-hosted solutions.</li><li>
Deep technical expertise that allows you to contribute, as well as review the work of others</li><li>
Successfully built a team, defined its mission, and executed on its goals.</li><li>
Good at giving and receiving feedback and providing coaching to the team.</li><li>
Understand multiple Agile processes and apply them appropriately to help the team. (not just focused on Scrum or Kanban or something else)</li><li>
Have experience with bleeding-edge data platform capabilities.</li><li>
You understand that DevOps is a culture and way of thinking.</li><li>
You are a servant leader - you understand that you are here to serve the team and make them successful.</li><li>
You reason from first principles and evaluate options rigorously.</li><li>
You lead by example.</li><li>
You are open, transparent, and work in tight collaboration with anyone.</li><li>
You are naturally curious and passionate about learning and growing your skillset.</li><li>
You have the ability, and more importantly, the passion to teach, coach, and mentor individuals and contribute frequently to educate the greater community.</li><li>
You have both breadth and depth of software engineering expertise.</li><li>
You have excellent verbal and written language skills, especially when talking about code and systems. You are comfortable communicating in a decentralized work environment and across organizations.</li></ul>
These are some additional skills that the team has developed and uses regularly, but are not required for new hires (other than a burning desire to learn them when needed):<ul><li>
Ad Tech background</li><li>
Understand machine learning techniques and models</li><li>
An interest in and understanding of cybersecurity</li></ul>
About HUMAN Security
HUMAN was founded in a Brooklyn sci-fi bookstore with a hacker mindset and the lofty mission of making the internet safer by putting humans first. Today, our Human Defense Platform safeguards enterprises from sophisticated bots, fraud, and account abuse, verifying the humanity of more than 20 trillion interactions per week for the world&rsquo;s biggest brands and internet platforms.
HUMAN is an equal opportunity workplace dedicated to protecting the internet's integrity for everyone. We believe in putting people first, embracing diversity of thought from our global teams, and welcoming all individuals to share their unique experiences as we fight cybercrime together. We support our Humans with a comprehensive total rewards package for personal and professional development, including well-being and learning stipends, flexible work options, and dedicated time off. While our HQ is in NYC, we have teams worldwide.
HUMAN is growing fast, and there&rsquo;s never been a more meaningful time to join us. If you thrive on solving complex problems and want to help shape the future of cybersecurity, join us as we build a safer, more human internet.
If you are an individual with a disability or special need that requires accommodation, please contact us directly.
Compensation Range: $140K - $150K</div>

Sr. Manager,. DevOps

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products &ndash; systems that optimize revenue and detect fraud while serving millions of users in real-time.
 
 
 From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
 
 
 Our team are based in Seattle, WA and New York City, NY
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
 </li>
 <li>
 Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
 </li>
 <li>
 Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
 </li>
 <li>
 Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
 </li>
 <li>
 Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
 </li>
 <li>
 Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
 </li>
 <li>
 Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 1+ years of professional software development experience with a focus on building scalable systems
 </li>
 <li>
 Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
 </li>
 <li>
 Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
 </li>
 <li>
 A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
 </li>
 <li>
 Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
 </li>
 <li>
 Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
 </li>
 <li>
 Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
 </li>
 <li>
 Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
 </li>
 <li>
 Knowledge of real-time ML serving systems and model deployment at scale
 </li>
 <li>
 Experience with fraud detection, recommendation systems, or monetization optimization
 </li>
 <li>
 A passion for gaming, streaming, or the Twitch platform
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 Job ID: TW8973
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to 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. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
 
 
 
 US Pay Per Year
 
 
 $99,500&mdash;$200,000 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Software Engineer, ML

Explore 385+ Data scientist fraud in New York this March. Find roles across top companies and apply now to boost your career.