381 Data Science Managers jobs in Seattle

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform-we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention-but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.
When you join one of our teams, you'll be part of a nimble group that's empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won't have to look to find growth opportunities-ready or not, they'll find you. From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that's work worth doing.
**Machine Learning Engineer**
**Why We Have This Role**
We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.
You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!
**How You'll Find Success**
+ Work in a supportive environment enables individual growth and achievement of team goals
+ Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers
+ Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models
+ Implement new features and optimize existing ones to delight our customers
**How You'll Grow**
+ Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business
+ Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
**Things You'll Do**
+ Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
+ Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
+ Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
+ Finding quick ways to prototype and test possible solutions to large problems
**What We're Looking For On Your Resume**
+ Bachelor's degree in Computer Science or related fields.
+ Interest in modern machine learning / deep learning systems
+ Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
+ Experience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented design
+ Experience with applied machine learning models and large-scale ML systems
**What You Should Know About This Team**
+ The Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.
+ This team builds core machine learning infrastructure and services.
+ We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.
**Our Team's Favorite Perks and Benefits**
+ $1800 Experience bonus to be used for an "Experience" of your choosing
+ Unlimited Sick Days
+ Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women's Leadership Development, which exist as places for support, allyship, and advocacy.
**The Qualtrics Hybrid Work Model:** Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.
_Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic._
_Applicants in the United States of America have rights under Federal Employment Laws:_ Family & Medical Leave Act ( _,_ Equal Opportunity Employment ( _,_ Employee Polygraph Protection Act ( is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know._
_Not finding a role that's the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit._
_For full-time positions_ , this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits ( .
Washington State Annual Pay Transparency Range
$9,500- 187,000 USD

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer (Machine Learning) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of classification and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
9. Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics or related field and 2 years of experience in the job offered or in a computer-related occupation
10. Experience must include 2 years in the following:
11. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
12. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
13. 3. Translating insights into business recommendations
14. 4. Scripting languages such as Perl, Python, PHP, Haskell, or shell scripts
15. 5. Relational databases and SQL
16. 6. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
17. 7. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
18. 8. Build highly-scalable performant solutions
19. 9. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
20. 10. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
**Public Compensation:**
$176,793/year to $200,200/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of classification and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
4. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
5. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
6. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
7. Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
8. Master's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of experience in the job offered or in a computer-related occupation
9. Experience must include 2 years of experience in the following:
10. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
11. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
12. 3. Translating insights into business recommendations
13. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark
14. 5. Developing and debugging in C/C++ and Java
15. 6. Scripting languages such as Perl, Python, PHP, or shell scripts
16. 7. C, C++, C#, or Java
17. 8. Python, PHP, or Haskell
18. 9. Relational databases and SQL
19. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
20. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
21. 12. Build highly-scalable performant solutions
22. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
23. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
24. 15. Distributed systems
**Public Compensation:**
$219,579/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Our Opportunity:**
Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads.
As a member to the Sponsored Advertising team, you'll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You'll be at forefront of driving technology driven business impact. Machine learning and deep-learning models will influence selection, relevance, ranking, click-through prediction modelling, auction-dynamics, keywords recommendation, campaign optimization, ads channel performance, ads performance maximization and wide array of engaging data-science latest methodologies including but not limited to LLMs and generative AI.
Sponsored Ads builds a great outcome for shoppers, brand owners, and Chewy! Shoppers (pet Parents) are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet owners) and improve their reach.
Come be part of the Sponsored Ads team's impactful journey at Chewy!
**What you'll do:**
+ Apply machine learning and data-science to enhance shopping for pet-parents, increase product discovery, and build a positive ecosystem.
+ Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions.
+ You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications.
+ Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling.
+ Establish high bar on model performance, establish applied-science implementation best practices and mentoring junior scientists.
+ Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents.
+ Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.
**What You'll Need:**
+ An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years designing optimization and machine learning solutions for large scale applications.
+ Ability to understand and apply sophisticated mathematics and DS methodologies.
+ Experience in building distributed pipeline, tuning, optimizing and evaluation.
+ Experience with Sponsored Ads or Advertisement domain.
+ Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings.
+ Ability to translate complex data sets and research into simple business recommendations.
**Bonus:**
+ Experience in e-commerce or retail.
+ Prior experience in Advertising systems a huge plus.
+ Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Base Salary Range
$155,500-$249,000 USD
**Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact** ** ** **.**
**To access Chewy's Customer Privacy Policy, please click here ( .**
**To access Chewy's California CPRA Job Applicant Privacy Policy, please click here ( .**

**_Welcome to Warner Bros. Discovery. the stuff dreams are made of._**
**Who We Are.**
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the _storytellers_ bringing our characters to life, the _creators_ bringing them to your living rooms and the _dreamers_ creating what's next.
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!
Manager MLE, Search and Personalization Team:
About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers
audiences the world's most differentiated and complete portfolio of content, brands and
franchises across television, film, streaming and gaming. The new company combines
Warner Media's premium entertainment, sports and news assets with Discovery's
leading non-fiction and international entertainment and sports businesses.
For more information, please visit & Responsibilities:
We are looking for a passionate Manager Machine Learning engineer to support, build
and scale the personalization and search platforms for the global streaming app Max as
well as ongoing and future streaming initiatives. You are excited about working in a fast-
moving environment that fosters engineering and operational excellence with
continuous development, deployment, experimentation, quality assurance, and
collaboration. You will bring an obsession with our customers along with skills for rapid
feature iteration. In your role, you will be working in a team of passionate machine
engineers and applied researchers contributing to a system that serves 100+ million
users worldwide.
Architect and develop robust engineering solutions that utilize
machine learning models and algorithms to support
personalization's.
Manage project priorities and ensure timely delivery.
Build and lead a world-class team of machine learning and full stack
engineers.
Be a hands-on leader and mentor the team in the latest machine
learning technologies and processes.
Partner closely with business and data science leadership for
opportunity sizing and prioritizing product capabilities.
Partner closely with platform and infra teams to build robust fault
tolerant solutions and accelerate the learning cycle.
Partner closely with downstream application teams to develop a
flexible and resilient interface between ML products and downstream
applications.
Partner closely with the ML Platform team to build flexible and
resilient interfaces for training, serving and feature needs for
personalization products.
Develop ML Systems roadmap in partnership with Data Science
teams, and educate both internal and external stakeholders at all
levels to drive resourcing and implementation.
Develop and evangelize engineering best practices for scoping,
building, validating, deploying, and monitoring ML/AI products.
Qualifications & Experience.
Technical education in Computer Science, Information Science,
Engineering, or equivalent experience (Masters degree or higher
preferred).
8+ years of work experience in developing engineering solutions for
Machine Learning and Data Science applications with a proven track
record to drive innovation and business impacts.
2+ years leading and growing high performance engineering teams.
Familiarity with the practical aspects of machine learning is required.
Familiarity with the practical aspects of machine learning is required.
Proficient in both Python and OOP languages including GoLang,
Java or C++.
Experience with Agile methodologies preferred.
Experience in deploying complex and large scale machine learning
algorithms and advanced modeling solutions.
Self-starter and self-motivated with the proven ability to deliver
results in a fast-paced, high-energy environment.
Strong communication skills and the ability to explain complex
engineering systems to non-technical audience.
Works effectively with cross functional teams to build trusted
partnership.
Experience with recommender/search/ad serving algorithms and
systems is a plus.
**How We Get Things Done.**
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
**Championing Inclusion at WBD**
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page ( for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $145,600.00 - $270,400.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.

**Summary:**
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. Implement custom user interfaces using latest programming techniques and technologies
3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
5. Architect efficient and scalable systems that drive complex applications
6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
7. Work on a variety of coding languages and technologies
8. Establish ownership of components, features, or systems with expert end-to-end understanding
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10. 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
11. Demonstrated experience driving change within an organization and leading complex technical projects
12. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
**Preferred Qualifications:**
Preferred Qualifications:
13. Masters degree or PhD in Computer Science or a related technical field
14. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
15. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
16. Understanding of information retrieval concepts, such as indexing, querying, and ranking
17. Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
**Public Compensation:**
$85.10/hour to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
**Required Skills:**
Product Manager, Machine Learning Responsibilities:
1. Display strong leadership, organizational and execution skills
2. Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
3. Incorporate data, research and market analysis to inform product strategies and roadmaps
4. Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
5. Understand Facebook's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
6. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
**Minimum Qualifications:**
Minimum Qualifications:
7. 8+ years product management or related industry experience with domain specific expertise in Machine Learning
8. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
9. Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
10. Experience delivering technical presentations
11. Experience in analyzing complex, large-scale data sets and making decisions based on data
12. Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
13. Displaying leadership, organizational and execution skills
14. Proven communication skills
**Preferred Qualifications:**
Preferred Qualifications:
15. Experience with leveraging ML/AI to build large scale consumer products.
16. Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
17. Experience defining vision and strategy for a product.
18. Experience recruiting and leading a cross-functional team of world-class individuals.
19. Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
**Public Compensation:**
$171,000/year to $238,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Remote, USA**
**Sr. Machine Learning Engineer**
Location
Remote, USA
Department
Engineering
Requisition ID
JOBREQ-
**Role description**
**The opportunity**
At Unity, we're committed to building a culture grounded in Empathy, Respect, and Opportunity. Within our fast-paced and collaborative environment, we're tackling complex challenges that drive meaningful impact for creators and users across our ecosystem. The Unity Demand Optimization team plays a central role in this effort by building ad campaign optimizations that enable advertisers to efficiently capture user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers' off-site goals into auction ranking, helping them maximize installs, key conversions, or return on ad spend.
We are seeking a highly skilled staff engineer to take a critical role in building state-of-the-art bidding optimization systems that enable:
Efficient budget pacing across campaigns.
Automated bidding strategies that align with advertiser goals.
Continual system improvement through rigorous experimentation.
Sustainable growth for Unity's advertising business.
**What you'll be doing**
+ Design, implement, and maintain high-performance auto-bidding algorithms and advertiser-facing products (e.g., Target ROAS, Target CPA).
+ Ensure these systems meet or exceed campaign performance goals, advertiser expectations, and system reliability standards.
+ Lead development on core initiatives such as:
+ A bid-based budget pacing system that ensures daily budget delivery.
+ Maximize Conversions, which leverages real-time bidding to meet key advertiser goals.
+ Lowest Cost, a product that automates bidding to simplify campaign management.
+ Target ROAS, which lets advertisers scale volume without sacrificing performance targets.
+ Drive best practices for model quality, experimentation, system reliability, and operational excellence.
+ Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
+ Effectively communicate complex technical concepts to non-engineering stakeholders.
**What we're looking for**
+ Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, or a related field-or equivalent practical experience.
+ 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
+ 3+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
+ Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar.
+ Knowledge of metric design, experimentation methodologies, and large-scale data analysis.
**You might also have**
+ Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
+ Experience with state of the art control systems, reinforcement learning algorithms.
**Additional information**
+ Relocation support is not available for this position.
**Life at Unity**
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page ( .
Unity (NYSE: U) is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.
As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity ( .
_Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form ( to let us know._
_This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English._
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Gross pay salary
$165,600-$248,600 USD

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Software Engineer, Machine Learning Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
6. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
9. distributed clusters, multicore SMP, and GPU).
**Minimum Qualifications:**
Minimum Qualifications:
10. Master's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and two years of work experience in the job offered or in a computer-related occupation
11. Requires two years of experience in the following:
12. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
13. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
14. 3. Translating insights into business recommendations
15. 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
16. 5. Developing and debugging in C, C++, and Java
17. 6. Scripting languages: Perl, Python, PHP, or shell scripts
18. 7. C, C++, C#, or Java
19. 8. Python, PHP, or Haskell
20. 9. Relational databases and SQL
21. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
22. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
23. 12. Build highly-scalable performant solutions
24. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
25. 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems, AND
26. 15. Distributed systems
**Public Compensation:**
$211,654/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at