Machining Engineer jobs at Google - 34 jobs

Work from home - Machine Learning Engineer (MLOps) Your role: We are looking for a highly capable Senior MLOps Engineer with a strong Software Engineering and DevOps background. As a Senior MLOps Engineer, you will be embedded and supporting a revenue generation or cost optimization project, ensuring its success in production by improving the code, creating automated CI/CD testing, and developing frameworks that can be reused for other similar projects. * Build, maintain, and document machine learning frameworks (python packages) used across multiple projects. * Support a project team with Data Scientists, Business Stakeholders, Analysts, and Data Engineers. * Develop reusable feature stores for rules-based and AI/ML models. * Implement monitoring capabilities for model performance and effectiveness in production. * Automate CI/CD testing and deployments incorporating MLOps best practices. Required: * Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field. * 5+ years of overall experience in Data Analytics. * 3+ years of experience with ML Engineering and/or ML Ops. Up to 2 years of Software Engineering or Data Engineering experience can also count towards this requirement. * Sharp critical thinking skills and ability to learn and question complex processes and solutions. * Experience building scalable machine learning systems and data-driven products working with cross-functional teams. * Experience creating python packages * Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge of multiple programming languages. * Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). * Proficiency in SQL. Preferred Requirements: * Master's or PhD degree in computer science, data science, mathematics, or a related field. * Experience with sensor data or other noisy data types. * Experience with Agile Software Development. * Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired. * Familiarity with frameworks and languages designed for big-data analytics, including Spark and Azure Data Factory. * Experience with MLOps and ML experiment tracking tools, such as Azure DevOps and MLFlow or similar. * Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform. * Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. What We Offer * Stable Employment: Permanent contract offering long-term job security. * Learning & Development: Access to a wide range of online training platforms and professional development resources. * Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online Courses for different languages. * Health Coverage: Comprehensive prepaid medical and dental plans. * Insurance Protection: Life and accident insurance for peace of mind. * Wellness Perks: Discounts and benefits through fitness and technology partnerships. * Special Occasion benefits. #LI-DC10 #LI-Remote Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $88.46/hour to $257,000/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 accommodations-ext@meta.com.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product. We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways. What you'll do: Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. Mentor more junior researchers or research interns within the Pinterest Labs organization. What we're looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models. 5+ years of industry computer vision experience. M.S. or PhD in Machine Learning, Computer Science, or related areas. Publications at top ML conferences. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$161,263-$332,012 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. What you'll do: Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas Use data driven methods and leverage the unique properties of our data to improve candidates retrieval Work in a high-impact environment with quick experimentation and product launches Keeping up with industry trends in recommendation systems What we're looking for: 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Degree in computer science, machine learning, statistics, or related field Nice to have: M.S. or PhD in Machine Learning or related areas Publications at top ML conferences Expertise in scalable realtime systems that process stream data Passion for applied ML and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$138,905-$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. As Pinterest Labs, you'll work on tackling new challenges in large language models (LLMs) and generative AI along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: LLM training and adaptation, instruction tuning and alignment, retrieval-augmented generation (RAG), multimodal foundation models, personalization and user modeling with LLMs, LLM evaluation and benchmarking, efficient traininging/inference, safety alignment, and inclusive AI. What you'll do: Contribute to cutting-edge research in LLMs and generative AI that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data, translate research insights into practical, scalable solutions Curate and generate training data with strong quality controls Build reliable evaluation strategies for LLM systems (offline metrics, human evaluation, redteaming, robustness & safety) Write clean, efficient, and sustainable code, collaborate closely with engineering partners to land research into real systems. Develop LLM powered methods to solve modeling and ranking problems across growth, discovery, ads and search Explore and productionalize techniques such as instruction tuning, preference optimization, RAG / tool-calling, and prompt / model optimization. Scope and independently solve moderately complex problems What we're looking for: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field 1-2 years of internship or professional experience Strong foundation in modern deep learning for NLP (transformers, representation learning, scaling law) Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow) Experience in research and in solving analytical problems Cross-functional collaborator and strong communicator Comfortable solving ambiguous problems and adapting to a dynamic environment Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-DM57 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$138,905-$285,982 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your role and responsibilities Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Overview: Develop and train artificial intelligence tools to help automate processes for clients. Duties include designing and programming artificial intelligence systems, testing the machine learning tools and resolving issues with the algorithms and data to ensure the system works correctly. AI tools include chatbots, translations tools, predictive text and virtual assistants. Responsibilities: * AI Solution Design: Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients. * Model Development: Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications. * Client Engagement: Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes. * Data Preprocessing: Clean, analyze, and prepare large datasets for machine learning and AI model training. * Implementation & Deployment: Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization. * Cloud Management Strategies: Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP. * Collaborative Problem Solving: Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement. * AI Research & Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization * Documentation: Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability. Manage and enforce best practices for version control and collaboration tools, such as Github, Bitbucket, and Gitlab. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. Required education Bachelor's Degree Required technical and professional expertise * Education: Bachelor's degree in Computer Science, Data Science, AI, or related field (Master's or Ph.D. is a plus). * Experience: * Minimum of 3-5 years of experience in AI engineering, machine learning, or related fields. * Experience working in a professional services or consulting environment is highly desirable. * Technical Skills: * Expert proficiency in Python, with experience in other programming languages highly valued. * Deep knowledge and practical implementation of advanced AI technologies, including Langchain, Vector Stores, etc. * Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning). * Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. * Experience with data analytics and data engineering tools (SQL, Hadoop, Spark). * Proven experience in planning, developing, and implementing complex data pipelines. * Soft Skills: * Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders. * Ability to work in a fast-paced, client-facing environment with attention to detail. * Strong problem-solving skills and the ability to think creatively to solve client challenges. . Preferred technical and professional experience * Knowledge of industry-specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG). * Experience with natural language processing (NLP) and computer vision technologies. * Previous experience in an Agile or Scrum environment. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: * Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being * Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs * Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law * Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals * Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Role Overview: Develop and train artificial intelligence tools to help automate processes for clients. Duties include designing and programming artificial intelligence systems, testing the machine learning tools and resolving issues with the algorithms and data to ensure the system works correctly. AI tools include chatbots, translations tools, predictive text and virtual assistants. Responsibilities: * AI Solution Design: Collaborate with cross-functional teams to design AI models and algorithms that solve business problems for clients. * Model Development: Build, train, and deploy machine learning models, natural language processing systems, and computer vision applications. * Client Engagement: Understand client requirements, present AI solutions, and work with clients to integrate AI technologies into their business processes. * Data Preprocessing: Clean, analyze, and prepare large datasets for machine learning and AI model training. * Implementation & Deployment: Implement AI solutions and ensure smooth deployment on cloud-based environments, ensuring scalability and performance optimization. * Cloud Management Strategies: Oversee and maintain a deep understanding of various services like AWS, Azure, and GCP. * Collaborative Problem Solving: Work with software development and IT teams to integrate AI models into production systems and ensure their continuous improvement. * AI Research & Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and leverage this knowledge to drive innovation within the organization * Documentation: Prepare detailed documentation for AI models, algorithms, and implementation processes to ensure knowledge transfer and scalability. Manage and enforce best practices for version control and collaboration tools, such as Github, Bitbucket, and Gitlab. As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. **Required technical and professional expertise** * Education: Bachelor's degree in Computer Science, Data Science, AI, or related field (Master's or Ph.D. is a plus). * Experience: * Minimum of 3-5 years of experience in AI engineering, machine learning, or related fields. * Experience working in a professional services or consulting environment is highly desirable. * Technical Skills: * Expert proficiency in Python, with experience in other programming languages highly valued. * Deep knowledge and practical implementation of advanced AI technologies, including Langchain, Vector Stores, etc. * Strong understanding of AI/ML algorithms (supervised/unsupervised learning, reinforcement learning). * Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. * Experience with data analytics and data engineering tools (SQL, Hadoop, Spark). * Proven experience in planning, developing, and implementing complex data pipelines. * Soft Skills: * Strong communication skills with the ability to explain complex AI concepts to non-technical stakeholders. * Ability to work in a fast-paced, client-facing environment with attention to detail. * Strong problem-solving skills and the ability to think creatively to solve client challenges. . **Preferred technical and professional experience** * Knowledge of industry-specific AI applications (e.g., healthcare, financial services, supply chain, retail/CPG). * Experience with natural language processing (NLP) and computer vision technologies. * Previous experience in an Agile or Scrum environment. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. With more than 600 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else. We are seeking talented Staff Machine Learning Engineers for multiple openings across our Core Engineering organization, including teams such as Search, Notifications, and Content & User Engineering. In these roles, you will drive the development of state-of-the-art applied machine learning systems that power core Pinterest experiences. What you'll do: Design features and build large-scale machine learning models to improve user ads action prediction with low latency Develop new techniques for inferring user interests from online and offline activity Mine text, visual, user signals to better understand user intention Work with product and sales teams to design and implement new ad products What we're looking for: Degree in computer science, machine learning, statistics, or related field 6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing 2+ years of experience leading projects/teams Strong mathematical skills with knowledge of statistical methods Cross-functional collaborator and strong communicator In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,308-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Principal Machine Learning Engineer, a senior technical visionary, to be the Principal Technical Lead for the Growth Engineering team, responsible for setting up overall technical strategy, unified technical architecture and defining a roadmap for industry leading methodology for user and engagement growth. Strong hands on machine learning background including deep learning architectures, generative AI, and large scale deployment and measurement of ML systems is required. As the Principal Machine Learning Engineer you'll be responsible for the technical direction, strategy and health of our Growth Engineering org. You'll ensure that our technology can deliver on the business/product requirements necessary to keep Pinterest as an engaging platform for everyone. This means working with other leads to set and execute a long-term strategy for the overall engagement growth of Pinterest, aligning the strategy with other internal partners where it makes sense and communicating to leadership our current status and path to having world-class Growth capabilities. You'll also foster a healthy community where all ML engineers can learn best practices, collaborate effectively and understand our technical direction. What you'll do: Develop strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points. Champion and drive large-scale, cross-functional initiatives that grow user visitation and engagement depth of our platform. Act as the ultimate “advocate” for engineers on Growth including representing needs to leadership and prioritizing projects on the platform teams that ensure high quality capabilities and a world-class Pinner experience. Scale your leadership through both direct mentorship and via best practices, processes, training and tools. Ensure solid technical plans are in place for projects within Growth via direct review or delegation. Be the technical point of contact for decisions that impact the whole Pinterest platform via the Growth initiatives and for cross-functional partners for an 125+ member org. What we're looking for: Deep expertise building large scale ML systems at scale with modern frameworks. Knowledge of (and a passion for) building responsible and quality first discovery surfaces to drive user visitations. Track record of innovating and delivering large, cross-functional projects across multiple organizations. Strong written and verbal communication skills and proven ability to collaborate cross-functionally. Degree in Computer Science, Machine Learning, Statistics or related field. 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$267,393-$550,515 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Content Mining identifies the best sources to acquire content for Pinterest (websites, merchants, social accounts), optimizes how we acquire it, and extracts structured attributes from that content at high scale. Our work powers inspiring, accurate, and engaging Pins. This is a high performing end to end ML team, with a recent paper in KDD: “Cross-Domain Web Information Extraction at Pinterest”. We're hiring a Staff ML Engineer to serve as the technical lead for a 5‑engineer team (4 MLEs + you). As a tech lead, you will define the multi‑quarter technical vision and roadmap, lead execution and mentor engineers. The majority of your time will be spent with hands‑on designing, training, and shipping ML systems-especially LLM/NLP models for extraction and What you'll do: Technical leadership Own the long‑term architecture, roadmap, and execution for source discovery, acquisition optimization, and content understanding. Lead design reviews, set engineering standards, and drive cross‑team alignment with Product, Data, and Infra. Mentor and uplevel MLEs through technical direction, pairing, and reviews. Modeling and systems Train/fine‑tune LLMs and NLP models for classification, extraction, and instruction‑following; design eval loops and guardrails. Design features and frameworks for sharing features across models. Productionize models for large-scale inference; drive latency, reliability, and cost efficiency (quantization, distillation, caching). Data, experimentation, and quality Establish offline/online evaluation, gold sets, and automated regressions; run A/B and canary/shadow launches. Work with human and automated labeling sources to define data labeling standards. Partner on data strategy, labeling/weak supervision, and feedback loops to expand coverage and improve precision/recall. Operational excellence Define and meet SLOs for data quality, model performance, and serving reliability; lead incident playbooks and postmortems. Measure and drive downstream impact on revenue and engagement. What we're looking for: 5+ years building ML products end‑to‑end, including 2+ years as a tech lead driving multi‑quarter roadmaps and cross‑functional execution. Deep hands‑on experience with NLP/LLM training and inference (PyTorch, Python); strong grounding in evaluation, prompt/data design, and fine‑tuning. Proven track record shipping models at scale: feature/data pipelines, online serving, monitoring/observability, and cost/perf trade‑offs. Strong software engineering in Python with an eye for software engineering best practices. Experience mentoring senior engineers and influencing partner teams. Masters or PhD in ML related studies. LLM efficiency techniques (LoRA/adapters, distillation, quantization, prompt caching) and cost control strategies. MLOps at scale with tools like Airflow, Spark/Presto, Triton, vLLM. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the province of Ontario. #LI-REMOTE #LI-AK7 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. The Content Understanding team builds machine learning models that “read” Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. What you'll do: Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology. Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces. Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining. Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety). Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics. Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices. What we're looking for: M.S/ PhD degree in Computer Science, Statistics or related field. Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent). Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals. Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies. Deep hands-on experience in content understanding domains, such as: computer vision (classification, detection, representation learning), NLP (text classification, entity/topic modeling), multimodal / embedding models (e.g., transformer-based representations). Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments). Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis. Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-SM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$189,308-$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Meta is seeking a Global Operations Analytics Engineer to join our Data Center Site Operations team. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our services are delivered. The Global Operations Analytics Engineer leads the development of analytics data sets and use cases to support and enable the effective and efficient use of Meta's global server fleet. As we grow our data center fleet to support Meta's products, this role leverages data and insights to drive decisions that enable predictability, consistency, and proactive actions, allowing us to operate efficiently and reliably at scale. You have a demonstrated understanding of AI's business applications and the experience to identify, scope and deliver AI-enabled and automated solutions that improve operational efficiency, and data insights generated by the analytics team. While the you won't be building AI models, you will be involved in the design, development, and deployment of intelligent solutions that reduce the operational burden of identifying analytical insights and enabling us to focus on strategic, high-value projects. This role will directly impact the scalability and efficiency of our operations through proactive identification, automation, and resolution of routine tasks, inefficiencies, and incidents. In addition, this is a crucial role in translating data into action and identifying opportunities for efficiency and effectiveness. You are expected to provide meaningful insights into operational performance and make recommendations and actionable strategies to key stakeholders. You love exploring white space and creating impact from the ground up in an ever changing environment, with a demonstrated track record of thought leadership and impact in developing analytics and metrics-based programs. Minimum Qualifications * Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Science or commensurate experience) * 7+ years of experience in analytics, engineering, use of AI and/or workflow automation for business improvement * 7+ years of SQL development experience writing queries, R or Python * Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms * Significant experience with data visualization tools and leveraging data driven models to drive business decisions * Experience with statistics (e.g. statistics basics, statistical modeling, experimental design, hypothesis testing, etc.) * Demonstrated experience with proactively identifying, scoping and implementing solutions * Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders Preferred Qualifications * Experience working in a large-scale data center environment * Leadership and/or team management experience * Experience designing measurement systems to assess large scale performance Responsibilities * Translate business challenges into clear, actionable requirements for AI-enabled solutions * Map end-to-end business processes, highlighting areas where AI can drive efficiency and value * Design, build and implement AI-driven automation solutions to uncover operational data insights that drive decision making * Develop and deploy solutions and AI prompts to identify and address operational bottlenecks, replacing manual interventions with intelligent automation * Create scalable automation mechanisms that proactively monitor, analyze, and report on operations * Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize operations * Surface actionable insights that enable data-driven, proactive decision-making in global operations * Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation * Acts as a data subject matter go to on operation of servers in a hyper-scale data center environment * Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data * Perform complex data analysis leveraging data streams available to drive proactive and predictive action * Partner with operational analysts and data science to understand pain points, identify repetitive tasks and translate them into opportunities for automation * Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights to enhance operational performance of Meta's infrastructure * Provide data supplied narratives that are connected to the business, determining what is important and what next steps should be taken * Build data tables and dashboards, and leverage these for interpreting incidents and trends * Lead and support various ad hoc projects, as needed, in support of Meta's data center strategy * Leverage tools like R, Tableau, Python, and SQL to drive efficient analytics * Travel up to 30-49% required About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. Minimum Qualifications * 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field * Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience * Use hands and fingers * Reach/push/pull with arms/hands/shoulders * Stoop, kneel, crouch and crawl * Lift and/or otherwise move 45 pounds or more * Able to sit or stand at a workstation for extended periods of time Preferred Qualifications * Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments * Knowledge of EAM/CMMS systems * Experience interpreting blueprints/CAD drawings * Trade Certification or state licensure in Electrical or Mechanical (HVAC) * 8+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) * Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) * Knowledge of critical facilities operations Responsibilities * Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business * Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon) * Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training * Provides technical expertise and assistance as required * Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies * Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults * Troubleshoot, evaluate and recommend system upgrades * Order parts and supplies for maintenance and repairs * Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards * Escalate issues to facility management appropriately and timely * Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service * Provide recommendation of improvements to the operations and maintenance program on an on-going basis * Required to work on a shift schedule, which may include nights and holidays * Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. **Required Skills:** Critical Facility Engineer Responsibilities: 1. Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business 2. Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon) 3. Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training 4. Provides technical expertise and assistance as required 5. Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies 6. Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults 7. Troubleshoot, evaluate and recommend system upgrades 8. Order parts and supplies for maintenance and repairs 9. Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards 10. Escalate issues to facility management appropriately and timely 11. Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service 12. Provide recommendation of improvements to the operations and maintenance program on an on-going basis 13. Required to work on a shift schedule, which may include nights and holidays 14. Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources **Minimum Qualifications:** Minimum Qualifications: 15. 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field 16. Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience 17. Use hands and fingers 18. Reach/push/pull with arms/hands/shoulders 19. Stoop, kneel, crouch and crawl 20. Lift and/or otherwise move 45 pounds or more 21. Able to sit or stand at a workstation for extended periods of time **Preferred Qualifications:** Preferred Qualifications: 22. Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments 23. Knowledge of EAM/CMMS systems 24. Experience interpreting blueprints/CAD drawings 25. Trade Certification or state licensure in Electrical or Mechanical (HVAC) 26. 8+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) 27. Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) 28. Knowledge of critical facilities operations **Public Compensation:** $42.31/hour to $59.62/hour + 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 accommodations-ext@meta.com.

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. Minimum Qualifications * 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field * Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience * Use hands and fingers * Reach/push/pull with arms/hands/shoulders * Stoop, kneel, crouch and crawl * Lift and/or otherwise move 45 pounds or more * Able to sit or stand at a workstation for extended periods of time Preferred Qualifications * Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments * Knowledge of EAM/CMMS systems * Experience interpreting blueprints/CAD drawings * Trade Certification or state licensure in Electrical or Mechanical (HVAC) * 8+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) * Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) * Knowledge of critical facilities operations Responsibilities * Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business * Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon) * Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training * Provides technical expertise and assistance as required * Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies * Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults * Troubleshoot, evaluate and recommend system upgrades * Order parts and supplies for maintenance and repairs * Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards * Escalate issues to facility management appropriately and timely * Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service * Provide recommendation of improvements to the operations and maintenance program on an on-going basis * Required to work on a shift schedule, which may include nights and holidays * Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. **Required Skills:** Critical Facility Engineer Responsibilities: 1. Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business 2. Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon) 3. Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training 4. Provides technical expertise and assistance as required 5. Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies 6. Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults 7. Troubleshoot, evaluate and recommend system upgrades 8. Order parts and supplies for maintenance and repairs 9. Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards 10. Escalate issues to facility management appropriately and timely 11. Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service 12. Provide recommendation of improvements to the operations and maintenance program on an on-going basis 13. Required to work on a shift schedule, which may include nights and holidays 14. Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize dispatching of resources **Minimum Qualifications:** Minimum Qualifications: 15. 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field 16. Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 6+ years experience 17. Use hands and fingers 18. Reach/push/pull with arms/hands/shoulders 19. Stoop, kneel, crouch and crawl 20. Lift and/or otherwise move 45 pounds or more 21. Able to sit or stand at a workstation for extended periods of time **Preferred Qualifications:** Preferred Qualifications: 22. Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments 23. Knowledge of EAM/CMMS systems 24. Experience interpreting blueprints/CAD drawings 25. Trade Certification or state licensure in Electrical or Mechanical (HVAC) 26. 8+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) 27. Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) 28. Knowledge of critical facilities operations **Public Compensation:** $42.31/hour to $59.62/hour + 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 accommodations-ext@meta.com.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Work from home - Solutions Validation Services At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to lifesaving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Your Role: Solution Validation Services (SVS) is an organization within Cisco Customer Experience (CX) focused on validating complex customer-specific networks and accelerating adoption of new technologies and solutions. Our team has expertise across the breadth of the Cisco product portfolio along with extensive expertise in a variety of third-party and competitive products. With hundreds of engineers and world-class facilities around the world, SVS helps design and deploy the technologies our customers need to give their business a competitive edge in today's business climate. As part of the SVS team, you will help drive Cisco CX growth by designing next generation solution validation labs and by validating these solutions for Data Center, Enterprise and SP customers. You will also help inform customers about trending network technologies and drive accelerated adoption of new technologies and solutions. Your Profile: Minimum Qualifications * Customer Facing experience (ability to interface and interact with customers successfully). * Previous experience in complex network troubleshooting or TAC-style experience. * 3 - 8 years of experience with Nexus platforms (focus on n9k) * Very good understanding and experience on L2 switching, L3 routing and routing protocols (specifically OSPF, ISIS and BGP). * Understanding and experience with network and server virtualization. Experience with docker and Kubernetes is a plus. * Basic Programming/Scripting Skill (preferably Python) * Basic working knowledge in yang models, configuration management, APIs and operational models. What We Offer: * Stable Employment: Permanent contract offering long-term job security. * Learning & Development: Access to a wide range of online training platforms and professional development resources. * Language Training: Weekly virtual English classes and conversation sessions with certified instructors. Online Courses for different languages. Health Coverage: Comprehensive prepaid medical and dental plans. * Insurance Protection: Life and accident insurance for peace of mind. * Wellness Perks: Discounts and benefits through fitness and technology partnerships. Special Occasion benefits. #LI-NO1 #LI-Remote Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. This Principal Engineer L18 IC role on the Monetization Team requires a senior technical leader with a strong background in both core software engineering and machine learning. This role will lead the development and execution of the technical strategy for ad products that cater to both end users and advertisers on the platform. The individual we hire will oversee the core technical outputs of approximately 200 engineers and remain a hands-on contributor, shipping their own deliverables in the process. The ideal candidate is a brilliant technical contributor with a proven history of delivering complex architectural solutions within the ads domain. What you'll do: Lead and mentor engineering teams, inspiring innovation and excellence, while fostering future technical leaders within the organization. Architect and implement cutting-edge strategies to refine advertiser experiences and launch user-centric products. Guide and evaluate complex technical plans, ensuring they align with Pinterest's strategic objectives and elevate operational efficiency. Proactively manage project milestones, anticipate risks, and adapt strategies to ensure timely, successful delivery. Oversee projects that improve developer efficiency, service reliability, and engineering quality, promoting best practices in software architecture. Cultivate strong relationships with key stakeholders, ensuring alignment with business goals, and drive consensus on strategic initiatives. Lead development initiatives that leverage new generative AI models and strategies to enhance product offerings, ensuring alignment with business goals. Champion best practices and drive architectural improvements that enhance system performance and extensibility. What we're looking for: Masters or Bachelor's degree with relevant experience in computer science or a closely related discipline. 10+ years of professional experience in software engineering. 5+ years of professional experience in machine learning engineering. Robust comprehension of advertising technology. Demonstrated ability to lead significant technical initiatives across organizations, with an emphasis on scalability, quality, and maintainability. Recognized as a thought leader, driving strategic outcomes while promoting a culture of accountability and diversity. Proven experience shipping products which leverage generative ai technologies. Fundamental understanding of machine learning systems and the capacity to guide decisions regarding build, leverage, or acquisition. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NB1 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$242,634-$499,541 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics. What you'll do: Improve relevance and the user experience on Homefeed Work on state-of-the-art large-scale applied machine learning projects Improve the efficiency and reliability of large-scale data processing and ML inference pipeline Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost What we're looking for: Languages: Python, Java Machine Learning: PyTorch, Tensorflow Big data processing: Spark, Hive, MapReduce 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale 7+ years experience with large scale distributed backend service Experience in working in Deep learning and Generative AI models Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product Bachelors in computer science or equivalent experience Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-DM57 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$227,871-$469,147 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.