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

AI and Machine Learning Engineer

This role involves designing, developing, and optimizing AI and machine learning...

Location

United States , Spring

Salary:

79700.00 - 183200.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
0-2 years’ experience
Proficiency in programming languages such as Python, R, or Java
Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn
A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods
In-depth knowledge of machine learning algorithms, techniques, and concepts
Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis
Experience with SQL and databases and data visualization tools like Matplotlib or Tableau

Job Responsibility

Designs, develops and implements AI and machine learning models
Gathers and analyzes relevant data sets to train and test machine learning (ML) models
Optimizes algorithms and models to improve their performance
Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts
Keeps accurate and up-to-date AI and machine learning project documentation
Prepares reports and presents findings or recommendations to stakeholders
Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders
Actively seeks and incorporates feedback from the engineering manager or team leader
Attends daily or weekly stand-up meetings
Prepares and delivers detailed presentations and reports to stakeholders

What we offer

Comprehensive health & wellbeing benefits
Investment in personal & professional development
Inclusive work environment celebrating individual uniqueness
Flexibility to manage work and personal needs

Fulltime

AI and Machine Learning Engineer

AI and Machine Learning Engineer role at Hewlett Packard Enterprise focusing on ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Master's degree is desirable
Typically 5-7 years' experience
Deep understanding of machine learning algorithms such as linear regression, decision trees, support vector machines, random forests, deep learning models, and reinforcement learning
Strong foundation in mathematics and statistics including linear algebra, calculus, probability theory, and statistical concepts
Proficiency in programming languages such as Python, R, or Java
Experience with software engineering best practices, version control systems, and software development methodologies
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, and Keras
Proficiency in using agentic frameworks like langGraph or similar frameworks
Knowledge in lineage tracking of agentic architectures

Job Responsibility

Conduct advanced research in AI and machine learning
Stay up to date with latest advancements in the field
Explore emerging technologies and identify opportunities to apply cutting-edge techniques
Evaluate traditional AI/ML and Gen-AI based applications during development phase and in production
Design solutions considering scalability, performance, and maintainability
Provide technical guidance and mentorship to junior team members
Collaborate with cross-functional teams including product managers, data scientists, and business analysts
Drive continuous improvement and innovation in AI and machine learning practices
Evaluate and integrate third-party tools or services
Facilitate design review sessions

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Software Engineer / Senior Software Engineer

ARiA is looking for highly motivated self-starters and low-ego team players to j...

Location

United States , Madison; Alexandria; Seattle

Salary:

Not provided

Applied Research in Acoustics

Expiration Date

Until further notice

Requirements

Applicants selected for employment will be subject to a government security investigation and must meet eligibility requirements, including U.S. citizenship, for access to sensitive information
Bachelor’s degree or greater in a relevant technical field (Computer Science, Engineering, or equivalent)
Expertise designing and developing code using modern programming/scripting languages such as C, C++, Golang, JavaScript (and variants), and Python
Expertise developing and deploying software in an agile, continuous-integration (CI) framework across a variety of hardware platforms (desktop, server, cloud) using modern tools including containerization (e.g., Docker, Kubernetes)
Exceptional ability and desire to acquire new knowledge and skills to solve challenges
Ability to work independently but collaboratively
Ability to manage multiple projects in a fast-paced professional office environment
Ability to communicate technical solutions to colleagues and customers
Superior oral and written communications skills

Job Responsibility

Algorithm and software design, development, research, and testing to support prototypes and products
Supporting the transition of research algorithms to fielded systems
Preparing documentation to summarize design and status of prototypes and products
Assisting with in-field integration, testing, and support, with some local travel required
Developing an interface between a C++ underwater-acoustics physics engine and a video game for education and training
Developing a JavaScript backend for a scenario-design and management tool for players and integration of that system with a learning-management system (LMS)
Developing algorithms and software for a cloud-deployed cognitive tool that allows natural-language query of legal documents to answer user questions about government regulations and supporting the DevOps process for deployment of the prototype

Fulltime

Technical Software Engineering Manager

Cricut is looking for a highly motivated and technical, hands-on Software Engine...

Location

United States , South Jordan

Salary:

Not provided

Cricut

Expiration Date

Until further notice

Requirements

B.S. or M.S. in Computer Science, Software Engineering
4+ years of relevant software engineering management experience
5+ years of experience developing, designing and bringing successful products to market
Proficient in Swift/C++/Dart development
Experience programming for hardware interfaces strongly desired
Firmware experience a plus
Experience with Google Protocol Buffers a plus
Strong knowledge of and experience with SDLC and Scrum/Agile methodologies
Experience with package managers (npm, Maven, SwiftPM, etc.)
Experience in unit and integration testing

Job Responsibility

Willing to comply with 3-day/week RTO policy
Willing to do occasional international travel
Work collaboratively with fellow department members, product managers, software engineers, firmware engineers, hardware engineers and test engineers to develop cross platform (iOS, Android, macOS, Windows) libraries and tools which interface directly with Cricut machines through USB and Bluetooth interfaces (BLE and Classic)
Lead the engineering team in developing new features, enhancing existing features and improving the quality of the libraries and tools
Work with engineering to figure out architecture, work-breakdown, estimates and schedules
Apply best software engineering design patterns to develop well-structured, modular, performant application code
Perform code reviews, write unit and integration tests, and contribute to architectural planning and refactoring
Ensure best coding practices
Training, mentorship, and development of team members
Lead Agile/Scrum development

Fulltime

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is a key feature, our operation...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skills in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills

Job Responsibility

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Senior Machine Learning Engineer

As a Fintech company where Machine Learning (ML) is one of the key features, our...

Location

India , Bengaluru

Salary:

Not provided

EarnIn

Expiration Date

Until further notice

Requirements

MS degree or PhD degree in Computer Science or a related technical field
4+ years of experience in ML engineering
Strong programming skill in Python and data engineering skills
Extensive knowledge of machine learning algorithms
Hands-on experience on architectural patterns for large-scale software applications
Industry experience building and productionizing machine learning systems
Strong oral and written communication skills

Job Responsibility

Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines
Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

What we offer

healthcare
internet/cell phone reimbursement
a learning and development stipend
opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Senior Platform Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
4+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Job Responsibility

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes

What we offer

equity and benefits

Fulltime

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

272700.00 - 333300.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
7+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Job Responsibility

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
Be a mentor, coach, leader and inspiration to those around you

What we offer

equity and benefits

Fulltime

Software Engineering Manager, Machine Learning

Meta

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 26, 2026

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Job Posted:January 26, 2026

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January 26, 2026