Software Engineer (Technical Leadership) - Machine Learning Specialist Job at Meta (Sunnyvale)

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
Experience in setting up geographically distributed sites
Must have a strong background in software development lifecycle including cloud infrastructure
Familiarity with agile methodologies and tools like JIRA
Prior experience in cloud product development and deployments
end to end ownership and accountability
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change

Job Responsibility

Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
ensures that organization is effectively leveraging outsourced resources
Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Software Engineer, AI Specialist - Monetization (Technical Leadership)

Meta is seeking a distinguished Software Engineer with deep AI specialization to...

Location

United States , Sunnyvale

Salary:

219000.00 - 301000.00 USD / Year

Lead Software Engineer - AI Engineering

Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering i...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Minimum of 6 years of professional experience in Software Engineering, with a strong background in building and deploying complex, large-scale systems
Distributed Systems Expertise: Proven, hands-on experience designing, developing, and operating distributed systems at scale (e.g., microservices, event-driven architectures, stream processing)
Programming Languages: Proficiency in at least two programming languages, with Python being mandatory
AI/ML Engineering: Basic understanding of the Machine Learning lifecycle, MLOps practices, and experience in integrating ML models (especially LLMs) into production applications
Technical Leadership: Demonstrated experience in technical leadership, including defining technical roadmaps, mentoring junior engineers, leading code reviews, and driving architectural decisions
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Job Responsibility

Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality
Serve as a Full Stack tech-leader (often hands-on), contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV)
Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally
Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, latency, and providing deep debugging insights for ad creation teams
Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies (A/B testing, Canary deployments)
Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide
Collaborate intensely with a Staff Frontend Engineer, stakeholders from Ads layouts creation teams (designers, graphic specialists), and the core Bidding Platform backend teams.

What we offer

Projects focused on high code quality – solid code reviews are our standard
Collaboration within an interdisciplinary, self-sufficient team including: DevOps (ensuring a great Developer Experience), database experts, backend developers, product designers, and QA engineers
Hardware and software tailored to your preferences – e.g. MacBook, AI tool licenses
Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects
Flexible working conditions – no core hours, fully remote cooperation.

Lead Software Engineer - AI Engineering

Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering i...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Minimum of 6 years of professional experience in Software Engineering, with a strong background in building and deploying complex, large-scale systems
Distributed Systems Expertise: Proven, hands-on experience designing, developing, and operating distributed systems at scale (e.g., microservices, event-driven architectures, stream processing)
Programming Languages: Proficiency in at least two programming languages, with Python being mandatory
AI/ML Engineering: Basic understanding of the Machine Learning lifecycle, MLOps practices, and experience in integrating ML models (especially LLMs) into production applications
Technical Leadership: Demonstrated experience in technical leadership, including defining technical roadmaps, mentoring junior engineers, leading code reviews, and driving architectural decisions
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Job Responsibility

Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality
Serve as a Full Stack tech-leader (often hands-on), contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV)
Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally
Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, latency, and providing deep debugging insights for ad creation teams
Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies (A/B testing, Canary deployments)
Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide
Collaborate intensely with a Staff Frontend Engineer, stakeholders from Ads layouts creation teams (designers, graphic specialists), and the core Bidding Platform backend teams.

What we offer

Projects focused on high code quality – solid code reviews are our standard
Collaboration within an interdisciplinary, self-sufficient team including: DevOps (ensuring a great Developer Experience), database experts, backend developers, product designers, and QA engineers
Hardware and software tailored to your preferences – e.g. MacBook, AI tool licenses
Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects
Flexible working conditions – no core hours, fully remote cooperation.

Head of Risk QA Software Architecture

Design, deliver, and govern QA software and technology solutions that align with...

Location

Czechia , Prague

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong knowledge of enterprise architecture frameworks
Proficiency in software engineering principles and cloud-native architectures
Experience with Agile delivery and technical product ownership
Excellent stakeholder management and communication skills
Tenacity and perseverance to negotiate and influence multiple stakeholders
Proven track record in solution architecture and enterprise architecture roles
Hands-on experience in software engineering and technical leadership
Familiarity with governance processes and technology roadmaps
Experience building highly scalable end to end systems of financial models and calculations and their integration with Technology platforms

Job Responsibility

Define and document end-to-end solution architectures that meet functional and non-functional requirements, driving QA Software Product strategy
Maintain architecture frameworks, enforce standards, and ensure interoperability across systems
Collaborate with QA development and Infrastructure teams, as well as with Technology to provide technical guidance, and drive automation and use of AI in CI/CD practices
Manage stakeholder expectations within QA and Technology to balance short-term delivery with long-term integrity
Ensure solutions meet performance, scalability, and resilience targets while mitigating technical risks
Establish colleague training on systems engineering and architecture
Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions
Development of high performing, comprehensively documented analytics and modelling solutions

What we offer

Structured approach to hybrid working
Supportive and inclusive culture and environment
Opportunity to explore flexible working arrangements
Incredible variety, depth and breadth of experience
Chance to learn from a globally diverse mix of colleagues
Encouragement to embrace mobility

Fulltime

Engineering Manager II, Data & ML Systems

As an Engineering Manager on the FinTech Data & ML Systems team, you will lead a...

Location

India , Hyderabad

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

10+ years of experience and proven experience as a Software or Data Engineering Manager, leading teams that deliver large-scale data infrastructure or platform solutions
Deep technical expertise in distributed data systems, including data ingestion, transformation, storage, and streaming
Working knowledge of machine learning workflows and supporting infrastructure (e.g., feature engineering, model training, deployment, and monitoring)
Strong leadership, communication, and cross-functional collaboration skills — especially when partnering with analytics, data science, and product teams
Demonstrated ability to set vision, define roadmaps, and deliver data-driven solutions that support analytics and ML applications
Passion for mentoring engineers and fostering an environment of learning, innovation, and accountability
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 10+ years of experience

Job Responsibility

Lead a high-performing team of data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech
Drive the architecture and delivery of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases
Collaborate closely with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications
Provide technical leadership in data architecture, ETL design, model training pipelines, and productionization of ML workflows
Identify opportunities to use data and ML to solve key business challenges, improve efficiency, and unlock new capabilities across payments, compliance, and financial systems
Promote a culture of technical excellence, encouraging best practices in system design, testing, observability, and maintainability across both data and ML domains
Mentor and develop engineers, fostering a collaborative, inclusive, and high-performance culture where teams can experiment, learn, and grow
Ensure reliability and scalability of FinTech data and ML systems through strong engineering discipline and well-defined operational practices

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

9+ years of experience in a Data science role
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
5+ years experience building data pipelines for data science-driven solutions and deployed in Production environment
Experience working in technical support environment, working with dataset from CRM, H/W and S/W bugs data, machine logs
Experience supporting and working with multi-functional teams in a multidimensional fast paced environment
Good team worker with excellent interpersonal, written, verbal and presentation skills
Experience building and optimizing data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management

Job Responsibility

Leads as well as develops scalable AI solutions using relevant AI (ML/DL/Gen AI) techniques
Architects large scale AI solutions that seamlessly merge AI model and techniques in SDLC
Organizes and leads comprehensive code and design review sessions, driving discussions to align with project requirements and best practices. Mentor and provide feedback to junior and mid-level team members
Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms. Explore and experiment with cutting-edge techniques to solve complex problems and improve existing models
Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions. Determine the appropriate algorithms, models, and frameworks to use and architect the overall system to ensure scalability, efficiency, and robustness
Develops, implements, and optimizes machine learning models and algorithms. This includes data pre-processing, feature engineering, model selection, hyperparameter tuning, and training on large datasets. Continuously monitor and improve model performance and accuracy
Leverage or build analytics tools that utilize the data pipeline to provide significant insights into customer case data, bug data, operational and other key business performance metrics
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Work with data and analytics specialists to strive for greater functionality in our data systems
Identify trends, patterns from dataset to scope opportunities for automation

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion