CrawlJobs Logo

Software Engineer (Technical Leadership) - Machine Learning Specialist

meta.com Logo

Meta

Location Icon

Location:
United States , Sunnyvale

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

219000.00 - 301000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Job Responsibility:

  • Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features and systems in detail
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
  • Suggest, collect and synthesize requirements and create an effective feature roadmap
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Requirements:

  • Experience leading projects with industry-wide impact
  • Experience communicating and working across functions to drive solutions
  • Experience in mentoring/influencing engineers across organizations
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • 12+ years of experience in programming languages (Python, C++, Java or R) with technical background
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Nice to have:

  • Experience in shipping products to millions of customers or have started a new line of product
  • Experience with Hadoop/Hadoop Base/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
  • Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
January 23, 2026

Icon
Meta - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Software Engineer (Technical Leadership) - Machine Learning Specialist

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...
Location
Location
Puerto Rico , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Lead Software Engineer - AI Engineering

Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering i...
Location
Location
Poland
Salary
Salary:
Not provided
rtbhouse.com Logo
RTB House
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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.
Read More
Arrow Right

Lead Software Engineer - AI Engineering

Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering i...
Location
Location
Poland
Salary
Salary:
Not provided
rtbhouse.com Logo
RTB House
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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.
Read More
Arrow Right

Head of Risk QA Software Architecture

Design, deliver, and govern QA software and technology solutions that align with...
Location
Location
Czechia , Prague
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Engineering Manager II, Data & ML Systems

As an Engineering Manager on the FinTech Data & ML Systems team, you will lead a...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Senior Data Scientist

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right

Director of Trust & Safety Engineering

We are looking for a Director of Trust & Safety Engineering to join our Security...
Location
Location
United States , San Francisco
Salary
Salary:
200000.00 - 300000.00 USD / Year
vercel.com Logo
Vercel
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in software engineering with a focus on security or trust & safety
  • 5+ years leading large, multi-disciplinary technical teams
  • Proven success building and scaling engineering organizations that deliver safety, security, or fraud prevention systems at global scale
  • Strong technical expertise in backend systems, distributed infrastructure, or data engineering, ideally within developer or platform ecosystems
  • Deep understanding of platform abuse, AI-generated fraud, automation-based misuse, and emerging risks in large-scale developer platforms
  • Experience designing or overseeing real-time detection and enforcement systems that use data analytics, automation, or machine learning
  • Skilled in building alignment between engineering, product, and policy stakeholders to operationalize Trust & Safety initiatives
  • Demonstrated ability to hire, mentor, and grow high-performing engineering and Trust & Safety teams
  • Strong judgment balancing innovation, platform reliability, and user safety in a fast-moving environment
Job Responsibility
Job Responsibility
  • Lead engineering teams that design, build, and operate systems to detect and prevent platform abuse, fraudulent usage, and malicious activity across the Vercel ecosystem
  • Develop and maintain detection pipelines that identify fraud and abuse, including AI-generated activity such as synthetic accounts, automated misuse, and malicious or spam content deployed via AI tools
  • Build systems that protect against billing and credit abuse, compromised accounts, and resource exploitation within Vercel’s platform and infrastructure
  • Partner with Product, Security, Legal, Finance and Infrastructure teams to embed Trust & Safety program and fraud prevention capabilities directly into developer workflows and core platform architecture
  • Create automated enforcement and remediation workflows that act on suspicious or confirmed fraudulent or abusive behavior in real time, maintaining a strong balance between platform protection and developer experience
  • Drive the architecture and data strategy for trust signals, anomaly detection, and AI-driven abuse scoring systems
  • Collaborate with Legal, Support, and Policy teams to ensure compliance with global regulations while maintaining transparency and fairness in enforcement actions
  • Oversee the Trust & Safety operations team responsible for policy enforcement, incident response, and user protection
  • Mentor and grow engineers and Trust & Safety specialists, fostering a culture of technical excellence, transparency, and accountability
What we offer
What we offer
  • Competitive compensation package, including equity
  • Inclusive Healthcare Package
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
  • Flexible Time Off
  • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed
  • Fulltime
Read More
Arrow Right

Senior Data Scientist (AI/ML)

Senior Data Scientist (AI/ML). This role has been designed as ‘Hybrid’ with an e...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy