Software Engineering Manager, Machine Learning Job at Meta (Sunnyvale)

Machine Learning Software Engineering Manager

Meta is seeking a highly motivated and experienced Software Engineering Manager ...

Location

United States , Sunnyvale

Salary:

219000.00 - 301000.00 USD / Year

Senior Manager, Machine Learning Engineering

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile tea...

Location

United States , McLean; New York

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
At least 4 years of people management experience
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models

Job Responsibility

Design, build, and/or deliver ML models and components that solve real-world business problems
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Collaborate as part of a cross-functional Agile team to create and enhance software
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Leverage continuous integration and continuous deployment best practices
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed
Use programming languages like Python, Scala, or Java

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...

Location

Canada

Salary:

219300.00 - 296700.00 CAD / Year

Dropbox

Expiration Date

Until further notice

Requirements

MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
10+ years of software engineering experience, with at least 5+ years in direct management roles.
Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
Drive and ability to move forward in spite of ambiguity with a bias for action.
Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
Proven track record of setting visionary goals and delivering iterative progress.
Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
Ability to mentor and guide team members to maximize their impact.

Job Responsibility

Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
Utilize data and insights to make informed decisions that significantly impact the company.
Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
Cultivate a collaborative culture within the team that embodies Dropbox's values.
Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
Define team’s OKRs and manage the executions.
Work closely with business partners and peer teams for project priorities and requirements
Manages system’s operational health, including on-call duties and connections with external gateway partners.
Define the growth paths and opportunities for team members.

What we offer

Competitive medical, dental and vision coverage
Retirement savings through a defined contribution pension or savings plan
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
Mental health and wellness benefits

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...

Location

United States

Salary:

216200.00 - 365700.00 USD / Year

Dropbox

Expiration Date

Until further notice

Requirements

MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
10+ years of software engineering experience, with at least 5+ years in direct management roles.
Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
Drive and ability to move forward in spite of ambiguity with a bias for action.
Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
Proven track record of setting visionary goals and delivering iterative progress.
Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
Ability to mentor and guide team members to maximize their impact.

Job Responsibility

Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
Utilize data and insights to make informed decisions that significantly impact the company.
Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
Cultivate a collaborative culture within the team that embodies Dropbox's values.
Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
Define team’s OKRs and manage the executions.
Work closely with business partners and peer teams for project priorities and requirements
Manages system’s operational health, including on-call duties and connections with external gateway partners.
Define the growth paths and opportunities for team members.

What we offer

Competitive medical, dental, and vision coverage
401(k) plan with a generous company match and immediate vesting
Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
Income Protection Plans: Life and disability insurance
Business Travel Protection: Travel medical and accident insurance
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work
Quarterly Cell phone and internet allowance
Mental health and wellness benefits

Fulltime

Engineering Manager, Machine Learning

We are looking for an Engineering Manager, Machine Learning to lead a team of ML...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning engineering, with a strong track record of shipping models to production in consumer-facing products (recommendations, search, ads, personalization, or similar domains)
Experience managing an ML or software engineering team
BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field
Deep expertise in recommendation system architectures, deep neural networks, and ranking models
Strong software engineering fundamentals and experience writing production-quality code
Experience with large-scale ML tooling and infrastructure: PyTorch/TensorFlow, Spark, Airflow, cloud-native MLOps platforms
Experience with multi-objective optimization, reinforcement learning, or Bayesian methods in production settings
Familiarity with LLM-based approaches for recommendations, content understanding, or generative personalization
Demonstrated ability to connect ML work to measurable product and business outcomes
Experience building and scaling ML teams in a distributed or multi-site setting

Job Responsibility

Lead, mentor, and grow a team of ML engineers
foster a culture of technical excellence, ownership, and collaboration
Set the technical roadmap, aligning priorities across the team and within the broader Recommendations organization
Drive system design and architecture decisions for ML models powering content ranking, user modeling, multi-objective optimization, and personalization across Roku's key surfaces
Provide technical leadership on model architecture choices, training and serving infrastructure, and evaluation methodologies
Own the A/B experimentation and measurement strategy for your team's surfaces
ensure ML work is tied to measurable product and business outcomes
Champion the adoption of generative AI to push the boundaries of recommendation and personalization
Partner with Product, Engineering, and cross-functional stakeholders to translate business goals into ML solutions
Recruit and develop ML talent in Bengaluru

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs

Fulltime

Senior Engineering Manager - Machine Learning

As Sr Engineering Manager for the Shopping ML team, you will join a team dedicat...

Location

United States , Sunnyvale; San Francisco; New York

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field
10+ years of industry experience in software engineering and AI/ML
5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams
Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.
Experience working with cross-functional teams (product, science, product ops, etc.)

Job Responsibility

Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Software Engineering Lead, Machine Learning

Ema is building the next generation AI technology to empower every employee in t...

Location

United States , San Francisco Bay Area

Salary:

135000.00 - 300000.00 USD / Year

Ema

Expiration Date

Until further notice

Requirements

Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field
Proven industry experience in building and deploying production-level machine learning models
Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch
Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems
Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices
Familiarity with cloud platforms like GCP or Azure
Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects
Good understanding of software development principles, data structures, and algorithms

Job Responsibility

Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems
Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems
Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment
Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes
Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption

Fulltime

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
Guides the architecture of scalable pipelines and datasets
Influences the direction of the team
Begins to anticipate potential data pipeline issues and provides solutions

Fulltime

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Software Engineering Manager, Machine Learning

Job Description

Job Responsibility

Requirements

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What we offer

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