AI & ML Engineer - Japan
Japan
Applications have closed
CloudBees
Boost, secure, and modernize your developer experience and improve productivity by 10x with CloudBees, the #1 Jenkins platform of choice for Enterprises.About CloudBees
CloudBees is the leading software delivery platform that enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work.
Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool—it's a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle. It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows.
CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud and wanting to accelerate their cloud transformation by years. CloudBees is helping customers build the future, today.
About the role
As an AI/ML Engineer at CloudBees, you will be a part of the AI team, and help the team deliver impactful SaaS products powered by data and AI. We are looking for a pioneer who is excited to pick up new exciting technologies, experiment, learn, and chart unknown territories.
What You'll Do
- Develop code, infrastructure, data processing and work on ML algorithms.
- Work with engineers to deliver LLM enabled capabilities.
- Operate a service and be accountable to its business impact.
- Disseminate the knowledge and shore up the AI application development expertise within the team & the company.
Role Requirements
- Bachelor's degree in Computer Science or a related technical field.
- Experience programming in Java/GoLang/Python (>2 years).
- Experience developing web applications.
- Excellent problem solving and communication skills.
- Experience developing data applications using machine learning algorithms, including LLM.
- Experience with machine learning, optimization algorithms, deep-learning techniques, and/or LLMs.
- Ability to be self sufficient given the proper guidance.
- Self-motivated and driven personality.
- Fully proficient in English written and spoken language.
- Passion for teams: building, working in them, encouraging team members to reach their potential.
It’s great but not required to have:
- Advanced computer science / data science degree.
- Experience working in Agile methodologies.
We’re invested in you!
We offer generous paid time off to allow our employees time to rest, recharge and to be present with family and friends throughout the year. At CloudBees, we truly believe that the more diverse we are, the better we serve our customers. A global community like Jenkins demands a global focus from CloudBees. Organizations with greater diversity—gender, racial, ethnic, and global—are stronger partners to their customers.
Whether by creating more innovative products, or better understanding our worldwide customers, or establishing a stronger cross-section of cultural leadership skills, diversity strengthens all aspects of the CloudBees organization. In the technology industry, diversity creates a competitive advantage. CloudBees customers demand technologies from us that solve their software development, and therefore their business problems, so that they can better serve their own customers. CloudBees attributes much of its success to its worldwide work force and commitment to global diversity, which opens our proprietary software to innovative ideas from anywhere.
Along the way, we have witnessed firsthand how employees, partners, and customers with diverse perspectives and experiences contribute to creative problem-solving and better solutions for our customers and their businesses.
Scam Notice
Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of CloudBees. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that CloudBees will never ask for any personal account information, such as cell phone, credit card details or bank account numbers, during the recruitment process. Additionally, CloudBees will never send you a check for any equipment prior to employment.
All communication from our recruiters and hiring managers will come from official company email addresses (@cloudbees.com) or from Paylocity and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent CloudBees and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at tahelp@cloudbees.com.
We take these matters very seriously and will work to ensure that any fraudulent activity is reported and dealt with appropriately. If you feel like you have been scammed in the US, please report it to the Federal Trade Commission at: https://reportfraud.ftc.gov/#/.
In Europe, please contact the European Anti-Fraud Office at: https://anti-fraud.ec.europa.eu/olaf-and-you/report-fraud_en
Signs of a Recruitment Scam
· Ensure there are no other domains before or after @cloudbees.com. For example: “name.dr.cloudbees.com”
· Check any documents for poor spelling and grammar – this is often a sign that fraudsters are at work.
· If they provide a generic email address such as @Yahoo or @Hotmail as a point of contact.
· You are asked for money, an “administration fee”, “security fee” or an “accreditation fee”.
· You are asked for cell phone account information.
· You are asked to cash a check for “equipment” prior to start.
· You are offered a job offer immediately or without an interview.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Golang Java Jenkins LLMs Machine Learning Python Security
Perks/benefits: Career development Competitive pay Startup environment
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