machine learning scientist

Wayfair

<div><div>Who We Are

Wayfair&rsquo;s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display &amp; Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.

The Advertising Optimization &amp; Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.

We are looking for an experienced Machine Learning Scientist III to join the Advertising Optimization &amp; Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair&rsquo;s revenue.

What you&rsquo;ll do
<ul>
<li>Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.</li>
<li>
Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.</li>
<li>
Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions</li>
<li>
Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services</li>
<li>
Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?)</li>
<li>
Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.</li>
<li>
Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.</li>
</ul>
What you&rsquo;ll need
<ul>
<li>Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.</li>
<li>
6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.</li>
<li>
Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.</li>
<li>
Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.</li>
<li>
Proficiency in Python or one other high-level programming language</li>
<li>
Solid hands-on expertise deploying machine learning solutions into production</li>
<li>
Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity</li>
</ul>
Nice to have
<ul>
<li>Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).</li>
<li>
Experience in computational advertising, bidding algorithms, or search ranking</li>
</ul>
<ul><li>Experience with deep learning frameworks like PyTorch, Tensorflow, etc.</li></ul>
</div><div>
Assistance for Individuals with Disabilities 
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. 
 
Need Technical Assistance? 
For more information about applying for a career at wayfair, visit our FAQ page here. 
 
About Wayfair Inc. 
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</div></div>

Machine Learning Scientist III

<div><div>Who We Are

Wayfair is moving the world so that anyone can live in a home they love &ndash; a journey enabled by more than 3,000 Wayfair engineers and a data-centric culture. Wayfair&rsquo;s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display &amp; Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques.

The Advertising Optimization &amp; Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.

We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization &amp; Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair&rsquo;s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes.

What You&rsquo;ll do
<ul>
<li>Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities.</li>
<li>
Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes.</li>
<li>
Raise technical standards across the team by promoting best practices in ML system design and development.</li>
<li>
Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows.</li>
<li>
Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization.</li>
</ul>
<ul><li>Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning.</li></ul>

We Are a Match Because You Have:
<ul>
<li>Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.</li>
<li>
9+ years of experience in building large scale machine learning algorithms.</li>
<li>
4+ years of experience working in an architect or technical leadership position.</li>
<li>
Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques.</li>
<li>
Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products.</li>
<li>
Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization.</li>
<li>
Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication.</li>
<li>
Ability to partner cross-functionally to own and shape technical roadmaps</li>
<li>
Intellectual curiosity and a desire to always be learning!</li>
</ul>
Nice to have
<ul>
<li>Experience with GCP, Airflow, and containerization (Docker).</li>
<li>
Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.</li>
<li>
Familiarity with Generative AI and agentic workflows.</li>
<li>
Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning.</li>
</ul>
</div><div>Assistance for Individuals with Disabilities 
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. 
 
Need Technical Assistance? 
For more information about applying for a career at wayfair, visit our FAQ page here. 
 
About Wayfair Inc. 
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</div></div>

Senior Machine Learning Scientist

Netskope

<div><div><h1 class="jobSectionHeader">About Netskope</h1>

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
<div>
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
</div></div><h2 class="jobSectionHeader">
Staff / Sr. Staff Machine Learning Scientist</h2>

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

Within Netskope Engineering, the Netskope AI Labs is responsible for advancing state-of-the-art artificial intelligence (AI) and machine learning (ML) technology to power the Netskope Intelligent Security Service Edge (SSE) security platform. Leveraging our expertise in AI/ML and security, we are developing large-scale AI/ML solutions for SSE. For example, we are integrating the latest AI/ML technology into our data security and threat protection features, as well as business operations.

What's in it for you

We are looking for a talented and motivated machine learning scientist to join our team. A successful candidate has deep technical expertise in applying AI/ML technologies in security applications and/or adjacent domains, and must be passionate about cloud security. You will have the opportunity to work with a team of talented engineers, researchers, and machine learning engineers to solve the most challenging cloud security problems today.

What you will be doing
<ul>
<li>Identify strong AI/ML use cases in cloud security, data security, and adjacent domains, leveraging Netskope's rich set of data sources</li>
<li>Define scalable data acquisition and labeling strategy for specific use cases</li>
<li>Work with data engineers to retrieve, clean, and normalize data and ensure a scalable and continuous high-quality data stream</li>
<li>Work closely with threat research and development teams in feature engineering, making sure high-quality feature sets are chosen in a systematic way</li>
<li>Develop ML models for defined use cases and implement KPIs to ensure optimal algorithms and results</li>
<li>Conduct strict internal testing to ensure high efficacy, low false positive and false negative rate</li>
<li>Interpret results and communicate findings</li>
<li>Document use case, data acquisition, feature engineering, training, validation, deployment, future improvement opportunity, and other important aspects</li>
<li>Work closely with development and QE teams in productization</li>
<li>Be an evangelist of AI/ML within Netskope and promote AI/ML wherever applicable, beyond security use cases</li>
<li>Staying up-to-date with the latest developments in AI/ML such as large language models (LLM)</li>
</ul>
Required skills and experience
<ul>
<li>Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions</li>
<li>6+ years of industry experience in developing AI/ML models, preferably on security products or services</li>
<li>Hands-on experience with relevant technology stacks such as CUDA, Python, Tensorflow, LLM, etc.</li>
<li>Hands-on experience using modern big data pipelines and cloud computing platforms such as AWS, Azure, or GCP</li>
<li>Natural language process (NLP) and data mining experience highly desirable</li>
<li>Energetic self-starter with the desire to work in a dynamic fast-paced environment</li>
<li>Excellent verbal and written communication skills and ability to explain complex concepts to non-technical stakeholders</li>
<li>Ability to influence without authority</li>
</ul>
Education
<ul>
<li>Advanced degree in Computer Science, Statistics, Electrical Engineering, or equivalent technical degree.</li>
</ul><div>
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.</div></div>

Staff / Sr. Staff Machine Learning Scientist

black.ai

At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That's why we're redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder's mobile platform provides 24/7, real-time support from a dedicated team of safety, medical, and mental health professionals - ensuring that our members receive immediate care when they need it most. In critical situations, we go beyond digital support, offering on-the-ground assistance to manage time-sensitive incidents. By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes. An Exciting Time to Join Sonder! Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia's leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions, and government agencies to transform workplace wellbeing at scale. Our impact and scale: <ul> <li>1,000,000+ members across multiple countries</li> <li>200+ team members, plus an extensive network of on-the-ground responders</li> </ul> If you're passionate about using technology and human expertise to drive meaningful change, join us in shaping the future of workplace wellbeing! Role Summary Are you a recent PhD graduate or Postdoctoral researcher passionate about applying cutting edge AI to solve real world problems? Join Sonder as an Applied Machine Learning Scientist/Engineer - focusing on LLM Research & Fine Tuning Engineering, and help us build a new generation of AI systems that directly impact human well being and safety. This is a unique opportunity for a PhD level candidate to apply their deep academic knowledge to a mission driven environment. This role is distinct from typical AI tooling or RAG based roles. We are not seeking candidates whose primary experience is in building vector search systems or integrating off the shelf APIs. Instead, we require deep, hands on expertise with the internal workings of large language models. Your work will be instrumental in developing our personalisation engine and fine tuning state of the art open source LLMs like LLaMa, Mistral, and DeepSeek. Your research will translate directly into creating specialised LLMs that provide empathetic, life saving support to our members. We're looking for someone who thrives on technical challenges and wants to see their expertise translate into a positive, tangible impact. Key Responsibilities <ul> <li>Research, fine tune, and optimise open source LLMs using techniques such as PEFT, LoRA, and QLoRA to build our proprietary AI models.</li> <li>Contribute to the design and implementation of our personalisation and recommendation engines to deliver tailored, proactive support.</li> <li>Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.</li> <li>Collaborate closely with cross functional teams, including product managers, software engineers, and mental health professionals, to translate research into effective product features.</li> <li>Stay current with the latest advancements in AI and LLM research, and apply new techniques to improve our systems.</li> <li>Publish and/or present research findings at conferences or in academic journals where appropriate, contributing to the broader AI community.</li> </ul> Key Qualifications <ul> <li>A recently completed PhD or Postdoctoral experience in Machine Learning, AI, Computer Science, or a closely related quantitative field.</li> <li>Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.</li> <li>Hands on experience fine tuning open source LLMs (e.g., LLaMa, Mistral, DeepSeek).</li> <li>Strong computer science fundamentals and coding proficiency in Python.</li> <li>Solid experience with deep learning frameworks such as PyTorch or TensorFlow.</li> <li>A profound passion for applying AI to high impact, meaningful domains such as mental health and well being.</li> </ul> Candidates with primary experience limited to building Retrieval Augmented Generation (RAG) systems or MLOps tooling are not a suitable fit for this specific role. Nice to Have <ul> <li>Experience with distributed training techniques for large models.</li> <li>Familiarity with cloud based machine learning stacks (e.g., AWS, GCP).</li> <li>A track record of peer reviewed publications in top tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, ACL).</li> </ul> Eligibility <ul> <li>The right to work full time in Australia</li> <li>Located within commuting distance to our Sydney office at the time of commencement.</li> </ul> Impact & Growth Your work at Sonder will go beyond just optimising models; it will directly contribute to saving lives and improving mental well being on a global scale. This role offers the opportunity to shape our core AI technology from the ground up while growing as a leader in a supportive, mission driven environment. You will have the freedom to explore new research ideas and the resources to see them through to deployment, making a tangible difference in the world. Why Join Sonder? At Sonder, we thrive in a fast paced, high performance environment with a strong commitment to our people. Our team is a collaborative, vibrant group of passionate professionals, dedicated to making a real impact on people's lives every day. <ul> <li>Hybrid and flexible working environment. Enjoy the perfect balance of in office collaboration and work from home flexibility, empowering you to optimise your productivity and work life balance.</li> <li>Gain free access to the Sonder app for you and your family, offering 24/7 on demand support for health, wellbeing, and safety.</li> <li>$1000 annual contribution as part of your development plan + 2 days of study leave</li> <li>Paid parental leave with an attractive return to work policy, 12 weeks for Primary Carers and 4 weeks for Secondary Carers, plus our Primary Carers return to work at 80% for the first 3 months at full pay.</li> <li>Participate in our Employee Share Option Plan (ESOP) for you to be a part of Sonder's success.</li> <li>Salary Packaging and novated leasing</li> <li>Access $250 annually to fund to invest in your wellbeing, empowering you to choose the support that best fits your needs.</li> <li>Free coffee on Tuesdays and catered lunch on Thursdays.</li> <li>Team social fund to connect with your team, plus monthly company wide social events.</li> <li>Dog friendly office.</li> <li>Volunteer leave. 2 days per year to participate in meaningful causes and contribute back to the community.</li> </ul> Check out our life page for more info - Sonder is for Everyone We're committed to building a diverse and inclusive workplace. We encourage applications from people of all backgrounds, experiences, abilities and identities. If you need any support with your application or the recruitment process, please reach out - we'd love to hear from you. Due to the nature of our industry, all Sonder employees are required to complete a National Police Check and Working With Children Check.

Applied Machine Learning Scientist/Engineer - LLMs (Recent PhD Grad)

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate within our innovative team, you will apply advanced machine learning techniques to tackle complex challenges such as natural language processing, speech analytics, time series analysis, reinforcement learning, and recommendation systems. You will collaborate with diverse teams and contribute to our knowledge-sharing community. We seek team members who thrive in a collaborative environment, working closely with business partners, technologists, and control teams to implement solutions in production. If you are passionate about machine learning and enjoy dedicating time to learning, researching, and experimenting with new advancements in the field, this role is ideal for you. We highly value expertise in Deep Learning, hands-on implementation experience, strong analytical skills, a deep desire to learn, and high motivation.
Job responsibilities<ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - NLP - Senior Associate - Machine Learning Center of Excellence

Netflix

<div>Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
Our Team:
The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers&mdash;all while maintaining the exceptional quality and personalization that define the Netflix experience.
Responsibilities:
<ul><li>Formulate complex business problems in budget allocation, marketplace matching as multi-objective optimization problems
</li><li>Design and implement scalable optimization algorithms for marketplace applications that balance competing business objectives (revenue, advertiser outcome, user satisfaction)
</li><li>Integrate machine learning model predictions with optimization formulations for personalized decision-making
</li><li>A/B test and monitor performance for optimization-driven features
</li><li>Translate complex model outputs into actionable metrics and KPIs for non-technical stakeholders, ensuring clarity and business alignment.
</li><li>Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience.
</li><li>Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions.
</li></ul>Required Qualifications:
<ul><li>Advanced degree (PhD or Master's) in Operations Research, Applied Mathematics, Computer Science, or related quantitative field
</li><li>Deep expertise in applying linear programming and optimization techniques to business problems
</li><li>Proficiency with optimization software (Gurobi, CPLEX, FICO Xpress, OR-Tools) and Python, R, or similar languages for data analysis and optimization modeling
</li><li>Strong business acumen with ability to translate business requirements into mathematical constraints
</li><li>Experience working with large-scale data systems and production ML pipelines
</li><li>Understanding of A/B testing methodologies and statistical analysis
</li></ul>Preferred Qualifications:
<ul><li>Proficiency in distributed systems programming (preferably Python or Scala)
</li><li>Experience with large-scale optimization problems and dual decomposition techniques
</li><li>Knowledge of first-order optimization methods (gradient descent variants, proximal methods)
</li><li>Experience building production optimization systems handling a large number of variables
</li><li>Strong mathematical background in linear algebra, convex analysis, and optimization theory
</li></ul>Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.</div>

Machine Learning Scientist (L5) - Live Manifest

Apple

<div>The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on real-time video processing powered by foundation models. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a hardworking Data Scientist to evaluate and craft Apple&rsquo;s machine learning based products in the field of computer vision, solutions that touch the lives of millions of users around the world. You'll be tasked to collaborate with multi-functional teams including deep learning, quality assurance, cloud infrastructure, and user research. You will drive improvements in algorithm performance and guide feature development through data driven insights, helping to deliver outstanding user experiences across Apple&rsquo;s product ecosystem. 
 
Description 
 
Video Engineering DAQ (Data Analytics and Quality) team is seeking a self-motivated and diligent Data Scientist to research and develop evaluation methods that support the continuous improvement of Apple&rsquo;s diverse computer vision projects. In this role, you will gain deep insight into Apple&rsquo;s algorithms and conduct in-depth failure analyses using data from on-device to large-scale user studies to uncover root causes of unexpected algorithm behavior. You will regularly and directly present your findings to Apple senior leadership and multi-functional teams, playing a key role in guiding product development. A strong programming background is essential, as you will also be responsible for building and maintaining automated pipelines that run on cluster machines to analyze and visualize data at scale. 
 
Minimum Qualifications 
<ul><li>
Minimum requirement of a bachelors degree</li><li>
Extensive experience in data science, machine learning, computer vision and statistical data analysis</li><li>
Proven experience in-depth analysis of machine learning model failures</li><li>
Proficient in crafting, conducting, analyzing, and interpreting experiments and investigations</li><li>
Advanced programming skills in data manipulation &amp; processing (SQL &amp; Python preferred)</li><li>
Expertise in data wrangling and developing data visualizations &amp; reporting with toolings such as Tableau, Superset, AWS etc.</li><li>
Experience presenting data to stakeholders</li></ul> 

Preferred Qualifications 
<ul><li>
Familiar with machine learning interpretability methods is a huge plus</li><li>
Outstanding verbal and written communication skills, along with strong collaborative abilities</li><li>
Self-motivated and curious with creative and critical thinking capabilities</li></ul> 

Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $190,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Submit Resume</div>

Machine Learning Data Scientist - Computer Vision

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