Facility Engineer jobs at BAE Systems - 12167 jobs

A leading digital payments platform in San Jose is seeking a Machine Learning Engineer to assist in designing, developing, and implementing machine learning models. The ideal candidate will collaborate with engineers and data scientists to enhance services through innovative AI/ML solutions. Requirements include a Bachelor's degree and familiarity with ML frameworks. This role offers a hybrid work environment, promoting a balance between office and remote work. #J-18808-Ljbffr

Description Logistics Type: 6+ month contract to hire (C2H is a must have). Location: Willis Tower, downtown Chicago, IL - 5 days on-site, after conversion only 4 days on-site required. This team is looking for someone passionate about machine learning who can join a startup-like division. They are on the cutting edge of AI initiatives. This team supports many ongoing AI initiatives all centered around medical devices, so healthcare/med device/pharma experience is highly preferred. Role Summary Drive the technical execution of AI initiatives by bridging advanced algorithm research with scalable engineering. You will own the completion and future evolution of the PAI AI Development foundation, stand-up production‑grade MLOps, and act as the connective tissue between data, infrastructure, and algorithm teams. Key Responsibilities End‑to‑end design & delivery of ML solutions (data ingestion, feature engineering, training, validation, deployment, monitoring). Architecting a highly available, secure, cloud/on‑prem hybrid ML infrastructure. Lead implementation of CI/CD for models (testing, rollout, rollback, governance). Partner with algorithm scientists to translate ideas into production‑ready code. Ensure regulatory & privacy compliance (HIPAA, GDPR, SaMD) in pipelines. Evaluate emerging GenAI tools, multimodal techniques, and HW accelerators; pilot where valuable. Mentor scientists and engineers, establish coding standards, and conduct design reviews. Required Qualifications 8+ yrs software / ML engineering, incl. 3+ yrs architecting production ML systems. Strong domain knowledge and experience in medical signal and image processing. Background or experience with medical devices is strongly preferred. Deep expertise in Python; proficiency in one systems language (C++/Go/Java). Strong working knowledge of PyTorch/TensorFlow/JAX, distributed training, and GPU optimization. Hands‑on with Docker, Kubernetes, ML orchestration (Kubeflow, Airflow, Prefect), and model registries (MLflow). Experience operating in a regulated or mission‑critical environment. Proven record of leading project teams or mentoring ML scientists and engineers; comfortable making architectural decisions and rallying others around them. Preferred Qualifications Background in signal processing, computer vision, or multimodal learning. Prior involvement in FDA 510(k) / SaMD submissions or clinical‑grade ML products. Experience with data security, anonymization, synthetic data, and federated learning. Publications, patents, or open‑source leadership are a plus. Demonstrated ability to scale yourself through others - e.g., setting coding standards, running design reviews, or leading guilds/chapters. Soft Skills: Strategic mindset, bias for action, excellent written & verbal communication, team‑first attitude. Benefits BCBS Medical with 3 plans to choose from (PPO and high‑deductible PPO plans with Health Savings Program). Delta Dental plan with 2 free cleanings and insurance discounts. EyeMed Vision with annual check‑ups and discounts on lenses. Life and accidental death insurance paid by company. John Hancock 401(k) retirement plan with discretionary company match. Voluntary insurance programs such as hospital indemnity, identity protection, legal insurance, long‑term care, and pet insurance. Flexible work environment with some remote working opportunities. Strong fun and teamwork environment. Learning, development, and career growth. #J-18808-Ljbffr

Machine Learning Model Engineer - Samsung Ads Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast-growing team. Location: Mountain View, CA**Role and Responsibilities****Responsibilities*** Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.* Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.* Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.* Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.* Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.* Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.* Mentor junior engineers and provide technical guidance.* Learn quickly and adapt to a fast-paced working environment.**Experience Requirements:*** Master's or PhD degree in Computer Science or related fields.* 7+ years of industry experience with a Master's degree or 5+ years of industry experience with a PhD degree.* Solid theoretical background in machine learning and/or data mining.* Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).* Hands-on experience with production-grade machine learning solutions.* Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).* Extensive programming experience in Python, Go or other OOP languages.* Familiarity with data structures, algorithms and software engineering principles.* Proficiency in SQL and databases.* Strong communication and interpersonal skills to drive cross-functional partnerships.**Skills and Qualifications****Preferred Experience Requirements:*** Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).* Basic knowledge about Amazon Web Services (AWS).* Experience with the advertising industry and real-time bidding (RTB) ecosystem.**CALIFORNIA ONLY**Compensation for this role, for candidates based in Mountain View, CA is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.#LI-DNI\* Please visit to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ************** or SEA\_Accommodations\_******************* for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. #J-18808-Ljbffr

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.**Role and Responsibilities**Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.Responsibilities* Design and develop the next generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.* Build a world-class ML platform tailored for Samsung's ML based advertising business, which can significantly improve the lead time for model end-to-end development and deployment process.* Research the latest machine learning platform technologies in the industry and create quick prototypes / proof-of-concepts.* Closely work with different internal ML teams (e.g., ML serving and MLOps teams) to improve our codebase, product health, and ensure the best engineering quality* Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.* Mentor junior engineers and provide technical guidance.* Learn quickly and adapt to a fast-paced working environment.Experience Requirements:* 6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree in Computer Science or related fields such as Statistics, Data Science, Technology, Engineering and Mathematics.* Extensive industry experience with Infrastructure as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using Github Actions, and real-time monitoring/alerting framework such as Prometheus and Grafana.* Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.).* Hands-on experience with machine learning related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store).* Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills.* Extensive programming experience in Python, Go or other OOP languages, SQL and database, and familiarity with data structures, algorithms and software engineering principles.* Strong communication and interpersonal skills to drive cross-functional partnerships.* Ability to work in a fast-paced environment, quickly debug issues, provide proof-of-concept solutions and apply the changes to production.**Skills and Qualifications**Preferred Experience Requirements:* Extensive knowledge of Amazon Web Services (AWS) is a huge plus.* Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.* Experience with the advertising industry and real-time bidding (RTB) ecosystem.Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.\* Please visit to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click .At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.**Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process**Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team ************** or SEA\_Accommodations\_******************* for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. #J-18808-Ljbffr

A leading semiconductor company in San Jose seeks a Senior Engineer in Product Engineering to manage new product introductions and production support. Candidates should have a Master's degree in Electrical Engineering and two years of relevant experience. Responsibilities include interfacing with manufacturing, conducting failure analyses, and implementing process improvements. This role offers competitive pay and benefits, including healthcare coverage and a performance-based bonus. #J-18808-Ljbffr

Cyber Machine Learning Engineer Key Role Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting‑edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real‑time detection and defense against threat actors, for both federal and commercial clients. Incorporate open‑source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI/CD Experience packaging and deploying production‑level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills TS/SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Snap Inc is a technology company. Snap's core products are Snapchat, Lens Studio, and Spectacles. Snap Engineering builds innovative products for hundreds of millions of Snapchatters worldwide, guided by values that prioritize privacy, speed, precision, and execution. We're looking for a Principal Machine Learning Engineer to join the Content Relevance team at Snap! What you'll do Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems Advance core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions needed to build innovative products or services Advocate for and apply best practices in availability, scalability, operational excellence, and cost management Provide technical direction that influences the entire company Knowledge, Skills & Abilities Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search Experience setting the direction for a team whose primary output is online ranking / recommendation models Ability to design, train, and optimize advanced machine learning models Excellent programming and software design skills Ability to proactively learn new concepts and technology and apply them at work Skilled at solving ambiguous problems and leading and executing complex technical initiatives Strong collaboration and mentorship skills Minimum Qualifications Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience 9+ years of industry machine learning experience 2+ years of experience as a technical lead Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases Preferred Qualifications Experience with recommendation systems Experience with TensorFlow, PyTorch, or related deep learning frameworks Advanced degree in a related field such as machine learning, computer vision, or mathematics Experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments Experience working with a diverse group of engineers Experience contributing to AI publications Equity and Benefits If you have a disability or special need that requires accommodation, please provide information via the designated accommodation form. "Default Together" Policy at Snap: Snap encourages in-office collaboration and expects team members to work in an office 4+ days per week. At Snap, we are an equal opportunity employer and are committed to employment opportunities regardless of race, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth, age, sexual orientation, military or veteran status, or other protected classifications, in accordance with applicable laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law. Our Benefits: Snap's benefits include paid parental leave, comprehensive medical coverage, mental health support, and compensation packages aligned with Snap's long-term success. Compensation: In the United States, starting pay is determined by factors including skills, experience, location, and market conditions. The base salary ranges and pay zones are listed for reference and may be updated. This position is eligible for equity in the form of RSUs. Zone A (CA, WA, NYC): base salary range $276,000-$414,000 annually. Zone B: base salary range $262,000-$393,000 annually. Zone C: base salary range $235,000-$352,000 annually. We encourage you to review Snap's other resources and communications for more information about our culture and opportunities. #J-18808-Ljbffr

Cyber Machine Learning Engineer Key Role Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting‑edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real‑time detection and defense against threat actors, for both federal and commercial clients. Incorporate open‑source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI/CD Experience packaging and deploying production‑level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud‑based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Engineer - Search, you will play a pivotal role in helping our customers realize the value of Elastic's Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end‑user experience. You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates. What You Will Be Doing Translate business and technical requirements into scalable, outcome‑driven solutions built on the Elastic Stack. Lead end‑to‑end delivery of customer engagements - from discovery and design through implementation, enablement, and optimization. Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption. Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. Collaborate cross‑functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community. Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration Apply your expertise to optimize queries, tune clusters, and handle high query/indexing throughput at enterprise scale. Collaborate with product and engineering teams to identify product improvements, extensions, and defects based on field feedback Operationalize vector search (e.g., kNN, ANN, hybrid embeddings) with Elastic's vector capabilities and ML models or similar. Profile and tune queries for high‑QPS environments with sub‑second latency targets. What You Bring 5+ years as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies and concepts, including generative AI. Hands‑on experience deploying Elastic Search solutions or similar platforms (Solr, Algolia, AWS OpenSearch, Palantir, Unbxd, e‑commerce site search engines). Strong experience in custom search solution design, query development, relevancy tuning, and NLP use cases. Expertise in distributed systems and large‑scale application infrastructure. Proficiency in at least one programming language; knowledge of open‑source machine learning/AI frameworks preferred. Knowledge or certification in Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, Kafka, Redis, VMs, Lucene. Familiarity with DevOps practices: Docker, Kubernetes, Terraform, CI/CD. Ability to manage delivery from proof‑of‑concept through production rollout, while mentoring client teams for long‑term success. Familiarity with modern NLP and AI ecosystems (transformers, Hugging Face, vector DBs like Pinecone or Weaviate) as applied to search. Strong communication and presentation skills, with experience working directly with customers to gather requirements and deliver solutions. Bachelor's, Master's, or PhD in Computer Science, Engineering, or related field, or equivalent experience. Comfortable working in highly distributed teams, both remote and on‑site when needed. May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs. Bonus Points: Elastic Certified Engineer certification. Experience at a Big 4 consulting firm. Hands‑on experience with Ansible, Terraform, JavaScript, ECK/Kubernetes. Familiarity with machine learning and AI applied to search solutions. Experience contributing to open‑source projects or documentation. Public speaking experience at conferences, meetups, or enterprise workshops. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company‑matched 401k with dollar‑for‑dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well‑being. The typical starting salary range for this role is: $110,900-$175,500 USD The typical starting salary range for this role in the select locations listed above is: $133,200-$210,700 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People's Republic (“DNR”), and the Luhansk People's Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. #J-18808-Ljbffr

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

The Marlin Alliance, Inc. is continuously seeking talented candidates to join our elite team of Business Transformation professionals. Qualified candidates are highly encouraged to apply to our current and prospective openings listed below. Professionals who do not match our current vacancies may apply to the " General Interest " requisition to be considered for future opportunities. The Marlin Alliance, Inc. is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. Citizenship and Clearance requirements: US Citizenship Active TS SCI security clearance Location: Hybrid - based in San Diego, CA Responsibilities: Design, develop, and implement machine learning models and algorithms for naval applications. Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments. Perform data preprocessing, feature engineering, model evaluation, and validation. Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. Contribute to distributed computing and parallel processing approaches to optimize ML model performance. Participate in CI/CD pipeline development, automation, and DevSecOps workflows. Apply cybersecurity principles in the design and deployment of machine learning systems. Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards. Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: At least 10 years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. Strong programming skills in Python. Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes). Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in Java, C++, Go, or Rust. Experience with distributed computing and parallel processing. Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins). Strong analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative team environment. Previous experience supporting government agencies or military organizations. Preferred Skills and Experience: Experience with cloud-native architecture and software API design. Experience integrating machine learning into operational DoD systems or edge computing environments. Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments. Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs. Education and Certification Requirements: Bachelor of Science degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or Statistics. Advanced degrees (MS/PhD) in related fields are preferred but not required. Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract. Job Classification: Associate II $110,000 - $180,000 Disclaimer: This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #J-18808-Ljbffr

Machine Learning Engineer The Opportunity: Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare. As a machine learning engineer, you'll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features. You'll leverage your technical expertise in AI. You'll develop new robust, secure, and performant production-grade software. You'll use your communication skills to work with a team to build, test, and operate system capabilities. You'll leverage your expertise with full-stack web application development, experience with software design and implementation on large codebases, and learn new languages, technologies, and codebases quickly. You will apply your expertise with AI - GenAI, Agentic AI, and LLMs,and work independently while collaborating with a team to build complex features, integrations, and modules . Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in federal government, there's a place for you here. At Booz Allen, you'll make a difference with us, and, in return, we'll invest in your future. Join us. The world can't wait. You Have: 2+ years of experience with machine learning engineering, or postdoctoral research for machine learning Experience with natural language processing and language models Experience with RAG and Generative AI techniques Experience with programming in Python, Java, or C++ Secret clearance Bachelor's degree Nice If You Have: Experience with developing software architectures with containerization tools, including Docker and Kubernetes Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches Experience with databases, including SQL Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or Node.js Knowledge of AWS, Azure, and GCP Ability to work in a Linux environment with Bash Scripting Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

## Senior Product Experience Engineer, Slack*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategoryProductJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.In this role, you'll experiment with emerging technologies, build high-fidelity prototypes, and collaborate closely with product, design, engineering, and marketing to translate early concepts into functional experiences. Your work will make abstract ideas tangible, inspire teams, and accelerate alignment across the organization. If you're driven by solving real product problems, experimenting with new technologies, and shaping early-stage ideas, this role provides a direct path to informing Slack's product direction.What You'll Do:**Build interactive prototypes*** Design and develop high-fidelity prototypes using Figma, live code (HTML/CSS/JS), and / or emerging technologies to explore new product concepts and interaction patterns.**Translate early ideas into functional experiences*** Work with Product and Design to turn abstract concepts into tangible prototypes that help teams evaluate usability, feasibility, and user value.**Craft product stories through prototypes*** Combine hands-on prototyping with clear narrative framing to communicate the “why” behind new concepts and support product strategy and alignment.**Collaborate across the product organization*** Partner closely with Product, Design, Engineering, Marketing, and Research to ensure prototypes and demos are grounded in user needs, technical reality, and business context.**Test and iterate quickly*** Gather feedback from cross-functional partners, refine prototypes through rapid iteration, and help teams understand tradeoffs and potential directions.**Establish scalable prototyping practices*** Create frameworks, documentation, and reusable assets that help distributed teams build, adapt, and reuse prototypes.**Support storytelling for vision work*** Build prototypes, interaction flows, and supporting artifacts used in vision presentations, internal product reviews, customer narratives, and leadership discussions.**What You Need to Succeed*** Strong ability to define and drive projects with minimal guidance, with an “owner-operator” mindset.* Excellent communication skills, including the ability to present complex concepts clearly to technical and non-technical audiences.* Proven success influencing peers and leaders in a highly matrixed, cross-functional environment.* Advanced storytelling abilities to frame concepts, align stakeholders, and communicate the value and rationale behind new ideas.* Creative problem-solver who can generate innovative approaches and explore ideas that push beyond today's patterns.* Experience prototyping interactive experiences using Figma, code, or emerging technologies to explore and convey product direction.* Strong understanding of UI and interaction principles* Comfortable working in ambiguous, fast-paced environments with evolving requirements and tight timelines.* Self-motivated, flexible, resilient, and driven by curiosity.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### ### ### For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.### ###****Slack is a messaging app for business which lets you organize conversations into channels so everyone moves faster and stays in sync. It's a platform that connects everyone in your business-employees, customers, and partners- securely with each other and integrates easily with apps you use every day to get work done. And everything happens, using any device, within a digital workspace that's super easy to use.********Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.********Come do the best work of your life here at Slack.**** #J-18808-Ljbffr

A leading automation firm in San Francisco seeks a Director of Automation and AI to oversee enterprise-wide initiatives. The role demands strong leadership and technical expertise to implement scalable automation and AI strategies. Candidates should have over 10 years of relevant experience, including substantial leadership roles. The position offers a competitive base salary between $170,000 - $190,000, comprehensive health benefits, and numerous perks that foster employee well-being and career growth. #J-18808-Ljbffr

This role drives complex capital projects, supports product innovation, and oversees construction initiatives. The position blends financial discipline, technical execution, and leadership of cross-functional teams. Salary: $145,000 - $165,000 + Bonus **$15,000-$30,000 relocation package available** Responsibilities Capital Projects (50%): Lead end-to-end CapEx initiatives, managing budgets, schedules, and ROI analysis. Ensure projects meet financial and operational targets. Product Development (25%): Partner with R&D and operations to deliver new product launches, applying stage-gate processes and aligning design with manufacturing readiness. Construction (25%): Oversee site upgrades and facility expansion projects, coordinating contractors, safety compliance, and quality standards. Guide cross-functional teams, resolve issues, and manage risks to ensure on-time, on-budget delivery. Build strong stakeholder relationships and provide clear communication through project reviews and progress reporting. Serve as a subject matter expert in project management practices, tools, and training. Qualifications Bachelor's degree in Engineering required 7+ years of project management experience in manufacturing environments PMP certification preferred; Lean/Six Sigma credentials a plus Strong building code experience Proven ability to lead diverse teams and manage complex initiatives across capital, product, and construction domains Less than 10% domestic travel required

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI (************************************** Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the‑art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. Join us in shaping the future of AI! What you will do Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM (************************************** and related projects, such as llm-d (******************************* and LLM‑compressor (*********************************************** projects. Create and manage inference serving deployment pipelines Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models Participate in technical design discussions and provide innovative solutions to complex problems Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance Give thoughtful and prompt code reviews Mentor and guide other engineers and foster a culture of continuous learning and innovation Continuous collaboration with internal and external open source contributors while contributing to vLLM and related projects What you will bring Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning Experience with tensor math libraries such as PyTorch and NumPy Strong programming skills with proven experience implementing Python based machine learning solutions Ability to develop and implement research ideas and algorithms Experience with mathematical software, especially linear algebra Understanding of Linear Algebra, Gradients, Probability, and Graph Theory Strong communications skills with both technical and non-technical team members BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus. #AI-HIRING #LI-MD2 The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat (************************ is the world's leading provider of enterprise open source (******************************************** software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in‑office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare and dependent care Health Savings Account - high deductible medical plan Retirement 401(k) with employer match Paid time off and holidays Paid parental leave plans for all new parents Leave benefits including disability, paid family medical leave, and paid military leave Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr

Principal Machine Learning Engineer, AI Inference page is loaded## Principal Machine Learning Engineer, AI Inferenceremote type: Hybridlocations: Bostonposted on: Posted Todayjob requisition id: R-050966## Job SummaryAt Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.As a Principal Machine Learning Engineer focused on vLLM, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your work with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.Join us in shaping the future of AI!## What you will do* Write robust Python and C++, working on vLLM systems, high performance machine learning primitives, performance analysis and modeling, and numerical methods.* Contribute to the design, development, and testing of various inference optimization algorithms* Participate in technical design discussions and provide innovative solutions to complex problems* Give thoughtful and prompt code reviews* Mentor and guide other engineers and foster a culture of continuous learning and innovation## What you will bring* Extensive experience in writing high performance code for GPUs and deep knowledge of GPU hardware* Strong understanding of computer architecture, parallel processing, and distributed computing concepts* Experience with tensor math libraries such as PyTorch* Deep understanding and experience in GPU performance optimizations* Experience optimizing kernels for deep neural networks* Experience with high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDM* Strong communications skills with both technical and non-technical team members* BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a plus#AI-HIRING#LI-MD2The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications.**Pay Transparency**Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.**About Red Hat**is the world's leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.**Benefits** ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!**Note:** These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.**Inclusion at Red Hat** Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.**Equal Opportunity Policy (EEO)** Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.### Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.### Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It's what makes us who we are.Some of the most knowledgeable and passionate people in the technology industry work here. Whether we're building software, championing our products, or training new associates, we're collaborating openly to make a difference in the world of open source and beyond. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a product mindset software engineer to join their GTM Innovation team. You will work closely with go-to-market teams to revolutionize customer engagement using advanced AI. Ideal candidates will have experience in software engineering, familiarity with APIs, and a collaborative spirit. This role offers a competitive compensation range of $255K - $405K. #J-18808-Ljbffr