Jobbörse
Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.- Ähnliche Jobs zu: Machine Learning Architect
Principal Architect - Machine Learning
United AirlinesUnited States
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using
Senior Staff Machine Learning Engineer, (Machine Learning)
AffirmSt LouisOverview Join to apply for the Senior Staff Machine Learning Engineer, (ML Underwriting) role at Affirm3 days ago Be among the first 25 applicantsJoin to apply for the Senior Staff Machine Learning En
Machine Learning Engineer
SARDINENew YorkWho we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 30
Lead - Machine Learning
QuantiphiNew YorkGet AI-powered advice on this job and more exclusive features. Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational pr
Machine Learning Engineer
TwilioSan FranciscoWho we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions tohundreds of thousands of businessesand empower millions of develo
Machine Learning Engineer
Saavor IncDallasMachine Learning Engineer (Computer Vision)Type: Full-time ( Remote / Hybrid) Team: AI / Machine LearningAbout the roleWe build computer vision systems that run in live production, where models have t
Machine Learning Intern
CloudDevsNew YorkWe are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on cutting‑edge
Machine Learning Engineer
SF Partners AdminBirmingham
Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham.Working at the forefront of national security innovation this Machine Learn
Machine Learning Researcher
Gray SwanUnited StatesGray Swan has made a habit of being first in line. We’re often the first to spot new failure modes, and, by extension, the first to defend against them. Being research-first isn’t a tagline. It’s how
Machine Learning Engineer
TechDoQuestCupertinoBuild and optimize RAG pipelines, vector databases, embeddings, and document-processing workflows Design agentic AI systems — including tool calling, orchestration, reasoning loops, and workflow autom
Machine Learning Engineer
Allcloud Inc.United StatesDescriptionMachine Learning EngineerLocation: US / Canada (Eastern Time) - Home-basedJob Type: Full-time, PermanentAbout AllCloudAllCloud is a leader in amplifying organizations' cloud potential throu
Machine Learning Engineer
Intellisoft TechnologiesUnited StatesRole: ML Engineer Location: Malvern, PA - hybrid onsite Duration: 6 monthsMust have Skills: ML models AWS SageMaker AWS servicesRequired qualifications:Responsibilities- Bachelors degree in a relevant
Machine Learning Engineer
PhysicsXUnited StatesMachine Learning EngineerSan Francisco, CA About UsPhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of softwa
Machine Learning Researcher
IMC IncUnited StatesMachine Learning ResearcherChicago, United States; New York, United States IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep
Machine Learning Engineer
K1XNew YorkFully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simp
Machine Learning Engineer
Vannevar LabsNew YorkVannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built
Machine Learning Specialist
Allcore S.p.A.Little ItalyIl gruppo finanziario Allcore S.p.A. , quotato alla Borsa di Milano, è alla ricerca di un/a Machine Learning Specialist con un forte orientamento alla progettazione agentica . La risorsa avrà il compi
Machine Learning Researcher
Framework VenturesNew YorkRole Overview We are seeking an experienced Machine Learning Researcher to join our research team. This role requires expertise in designing and deploying deep learning models within high-performance,
Machine Learning Engineer
SF PartnersBirminghamMachine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham.Working at the forefront of national security innovation this Machine Learn
Software Engineer, Machine Learning
EMASan FranciscoWho We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate m
Machine Learning Engineer Intern
NeuralinkUnited StatesMachine Learning Engineer InternSouth San Francisco, California, United States We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement
Sr Machine Learning Engineer
Optimum Communications CorpUnited StatesAre you looking to Optimize your life? Start your exciting path to a rewarding career today!We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic
Machine Learning Researcher Engineer
BoldVoiceUnited StatesMachine Learning Engineer / ResearcherBoldVoice helps the 1 billion global non native English speakers speak English with clarity and confidence, so they can advance their careers and lives. The app g
Lead Machine Learning Engineer
Capital OneNew YorkLead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll
Senior Machine Learning Engineer
ButtonNew YorkButton’s mission is to empower the companies shaping the creator and affiliate economy - fueling mobile growth with innovation and new paths to monetization. Today, we work with some of the largest an
Über
Come join us to create what's next. Let's define tomorrow, together.
Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United
Set up containers and Serverless platform with cloud infrastructure
You will design and develop tools and apps to enable ML automation using AWS ecosystem
Build data pipelines to enable ML models for batch and real-time data
Hands on development expertise of Spark and Flink for both real time and batch applications
Support large scale model training and serving pipelines in distributed and scalable environment
Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
Develop, optimize, fine-tune Generative AI/LLM models to improve performance and accuracy and deploy them
Qualifications
What's needed to succeed (Minimum Qualifications):
Bachelor's degree in Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++ 5+ years of experience in machine learning, deep learning, and natural language processing
Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Strong technical leadership and familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines
Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X
Experience with generative models such as GANs, VAEs, and autoregressive models
Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs
LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end-to-end lifecycle of large language models
Experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
Master's/PhD degree in Computer Science or related STEM field
5 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
5 + years of experience with Big Data technologies such as Spark, Flink and SQL programming
5 + years of experience with cloud-native DevOps, CI/CD
3 - 5 + years of relevant enterprise Architecture experience
1+ years of experience with Generative AI/LLMs
The base pay range for this role is $147,060.00 to $191,516.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com
Sprachkenntnisse
- English
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.