Machine Learning Engineer – Early Career / Junior (...
Uptime Crew - San Jose, CA
Apply NowJob Description
OverviewJoin to apply for the Machine Learning Engineer – Early Career / Junior (30 Positions) role at Uptime CrewWe’re hiring 30+ Entry-Level AI Engineers! Start your career with hands-on projects, mentorship, and paid training. No prior professional experience required. New Grads Welcome. This role is also commonly known as Entry-Level AI Developer, Artificial Intelligence Engineer, Entry Level Software Engineer, or Entry-Level Data Scientist. If you’ve been searching for one of these titles, you’re in the right place!Location: Mountain View, CA on-site after training Employer: Uptime Crew (W-2 )Client: Leading fintech firm in Mountain View (Silicon ValleyWhy this roleStart your career using AI to code faster, test better, and ship with confidence. Uptime Crew hires you, pays you to train for 10 to 12 weeks, then deploys you to our fintech client’s engineering team in Mountain View.The programPaid remote training, 10 to 12 weeks. Agile sprints, code reviews, and realistic ticketsCurriculum focus: AI-assisted software development, prompt patterns for coding and testing, secure and compliant AI use in regulated environments, code quality and reliability, SDLC automation, cloud deployment basicsCapstone: Deliver a production-style slice that uses AI tools to cut cycle time, raise test coverage, and improve documentation qualityDeployment: Join the client team on-site, contribute to existing services and apps, and continue using AI to accelerate delivery.What you will do on assignmentDrive the adoption of AI-assisted DevSecOps practices, using large language models and automation tools to accelerate secure containerization of legacy applications while maintaining security complianceDevelop and maintain AI-enhanced CI/CD pipelines that automatically generate security policies, container configurations, and infrastructure-as-code templates based on application requirements and best practicesUse AI coding assistants for implementation, refactoring, and documentation while following team guidelinesGenerate unit and integration tests, improve coverage, and reduce defectsSpeed up PRs with AI-assisted reviews, summaries, and risk notesQuery logs and docs with AI to troubleshoot issues and unblock workPartner with product, design, security, and compliance to ship increments that meet fintech standards.Java or Python, Spring Boot or Node, REST and gRPC, React, SQL, GitHub, CI/CD, Docker, AWS or GCP. AI tools such as LangChain, Cursor, Windsurf, GitHub Copilot, code review assistants, test generators, and documentation copilotsHands-on coding experience through coursework, projects, or internshipsStrong fundamentals in data structures, algorithms, and web or backend basicsAbility to learn quickly and work in an Agile teamLegally authorized to work in the United States without employer sponsorshipWilling to work on-site in Mountain View, CAPass a coding challenge, background check, and drug screeningNice to HaveProjects that show AI-assisted development, such as AI-generated tests or AI-supported referenceExperience with cloud services, databases, or CI/CDInterest in security, privacy, and handling sensitive data.Benefits and compensationDuring training: Paid biweekly stipend plus benefitsAfter training on client projects: $100,000+ per yearHealth insurance, including medical, vision, and dentalMatching 401 (k)Voluntary life insurance11 paid days off per yearIndustry certificationsInclusive, collaborative cultureEntry Level Machine Learning Engineer ResponsibilitiesDevelopment in Java, Spring Boot, Microservices, API while providing expertise in the full software development lifecycle, from concept and design to testing, designing, developing and delivering high-volume, low-latency applications for mission-critical systemsParticipate in technical solution and design discussionsPerform proofs of concept and comprehensive solutions throughout the development lifecycleAdd new features while improving efficiency, reliability, and scalability to address client needsOne day, someone will ask you where you got your start. This is it.About Uptime CrewUptime Crew is technology-focused and delivers talent in Full-Stack engineering, Cloud, DevSecOps, Networking, Cyber Security, Artificial Intelligence, Business Intelligence, Data Science, and Machine Learning. Our training uses realistic client environments so you can contribute quickly.Equal Opportunity EmploymentUptime Crew is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law.OtherReferrals increase your chances of interviewing at Uptime Crew by 2xInferred from the description for this job401(k)Vision insuranceMedical insuranceGet notified when a new job is posted. #J-18808-Ljbffr
Created: 2025-09-25