- Develop features and improvements to the GitLab product in a secure, well-tested, and performant way.
- Collaborate with Product Management and other stakeholders within Engineering (Frontend, UX, etc.) to maintain a high bar for quality in a fast-paced, iterative environment.
- Advocate for improvements to product quality, security, and performance.
- Solve technical problems of moderate scope and complexity.
- Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale web environment. Maintain and advocate for these standards through code review.
- Recognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions.
- Represent GitLab and its values in public communication around specific projects and community contributions.
- Ship small features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects.
- Participate in Tier 2 or Tier 3 weekday and weekend and occasional night on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues.
- Significant professional experience with Ruby on Rails.
- Experience with Python or motivation to learn
- Experience with distributed systems.
- Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
- Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.
- Comfort working in a highly agile, intensely iterative software development process.
- Self-motivated and self-managing, with excellent organizational skills.
- Demonstrated ability to work closely with other parts of the organization.
- Share our values, and work in accordance with those values.
- Ability to thrive in a fully remote organization.
- Professional experience with Python.
- Expertise in machine learning and experience with techniques like transfer learning and model fine-tuning
- Frontend engineering skills (VueJS)
- Have contributed a Merge Request to GitLab
- AI Framework
- MLOps
- Model Validation
- Duo Chat
- Benefits to support your health, finances, and well-being
- All remote, asynchronous work environment
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity
-
Senior Machine Learning Engineer
3 weeks ago
Strativ Group San Francisco, United StatesSenior Machine Learning Engineer · -> up to $225k base + ~1% equity · We are currently partnered with a well-backed Seed-stage startup who are revolutionizing the landscape of language models (LLMs) through intelligence and optimization, enabling businesses and individuals to uti ...
-
MTS: Applied Machine Learning Scientist
1 week ago
Acceler8 Talent San Francisco, United StatesAbout the Company: Join a pioneering Google Brain spinout at the forefront of AI and ML technology, where human-computer collaboration is not just a concept but a reality. Our team is dedicated to revolutionizing user experiences by innovating at every level, from user interfaces ...
-
Head of AI
6 days ago
Greylock San Francisco, United StatesSummary: · We're looking for applications from MLE's with demonstrated leadership skills from high-profile companies (target scope: Sr EM / Director). Priority given to candidates with strong academic foundations who have worked for marketing-leading companies and/or successful s ...
-
Lead Machine Learning Engineer
1 week ago
Next Ventures San Francisco, United StatesI am partnered with a Series A Start-Up, who are transforming the e-commerce landscape by redefining the shopping experience and offering a platform, where customers can engage and transact directly within a conversation thread. · Reporting directly to the CTO, they are hiring fo ...
-
Blue Yonder Business Analyst
3 weeks ago
SRI Tech Solutions Inc. San Francisco, United StatesBrief Summary of Role: · The role requires deep analytical, technical, and complex problem-solving skills with knowledge of optimization methods, financial computations, statistical analysis, and mathematical modeling techniques. It also requires exposure to data science, and a ...
-
Amazon Development Center U.S., Inc. San Francisco, United States Full timeDo you thrive on the challenge of threat modeling and fortifying the defenses of AI/Generative AI and cloud systems? Are you excited by the prospect of identifying customer security expectations for AI systems and influencing builders to embrace secure-by-default practices, makin ...
-
GenAI Contact Center Transformation Specialist
2 weeks ago
Lyons Consulting Group San Francisco, United States Full timeJob Description · : The Contact Center and Conversational AI Specialist Manager will be a specialist in contact center solutions and sophisticated data driven AI applications. Responsible for leading and driving the development and implementation of Generative AI contact center ...
-
Acceler8 Talent San Francisco, United StatesIntroduction: · Join a pioneering team at the forefront of AI and ML technology, where human-computer collaboration is not just a concept but a reality. Our team is dedicated to revolutionizing user experiences by innovating at every level, from user interfaces down to the most e ...
-
Databricks San Francisco, United StatesCompany Description · At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on ...
-
Founding Machine Learning Engineer
2 days ago
Greylock San Francisco, United StatesSummary: · Newly-funded seed startup (valued $100M+) is looking to hire their first Machine Learning Engineer. Our target profile will have 5+ years relevant industry experience with hands-on experience in Generative AI: · Qualifications: · LLM Frameworks: Demonstrated expert ...
-
Machine Learning Engineer, Forecast Platform
1 week ago
DoorDash San Francisco, United StatesAbout the Role · As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will ...
-
Business Analyst, Sales Strategy and Insights
2 weeks ago
Autodesk San Francisco, United StatesJob Requisition ID # · 24WD79144 Responsibilities : Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision-making, policy formulation, or other managerial functions. Collect and analyze d ...
-
Sr. Product Manager, ML Production
3 weeks ago
Databricks San Francisco, United StatesRDQ225R416 · At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best dat ...
-
Member of the Technical Staff
2 weeks ago
Kiso Technology San Francisco, United StatesKiso Technology: · Kiso Technology is a boutique technical consultancy based in San Francisco. We develop algorithms, models, and software systems to solve complex problems in a variety of domains. Clients range from early-stage startups to some of the largest companies in the wo ...
-
Senior Revenue Manager
4 weeks ago
REQ Solutions San Francisco, United StatesJob Title: Revenue Manager V · Duration: 6 months on w2 with possible extension · Location: 100% Work from home · Minimum Qualifications · CPA license · Experience with supervising monthly and quarterly close activities, account reconciliations, problem resolution, audit schedul ...
-
Financial Planning
4 days ago
Adobe San Francisco, United States Full timeOur Company · Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful ...
-
Applied Machine Learning Engineer
1 week ago
Nooks Communications, Inc. San Francisco, United States RemoteWhat is Nooks? · Nooks is a platform transforming sales reps from manual laborers to scientists. With today's technology, sales reps shouldn't need to manually write hundreds of emails, research hundreds of websites/linkedins, and make hundreds of calls. They should instead focus ...
-
Solution Engineer
1 week ago
BHO Tech San Francisco, United States Full timeJOB DESCRIPTION · As a key member of our Consulting team within Professional Services, The Solutions Engineer will be the data engineer that helps guide our customers through their data product implementation. Working directly with customers, a team of data product managers, sol ...
-
Kearney San Francisco, United States Full timeJob Description · Specialist Senior Analyst, Business Design · LOCATION: New York/Chicago/San Francisco (HYBRID) · Kearney and Kearney ignite · Kearney is a leading global management consulting firm with offices in more than 40 countries. Since 1926, we have been trusted advi ...
-
Director of Data Science
2 weeks ago
Varo Bank San Francisco, United States Full time· About The RoleYou will lead Varo's Data Science team under the umbrella of Varo's Data organization, spanning Data Analytics, Data Science, Data Product Management, Data Engineering and ML Engineering. Collectively our objective is to enable and catalyze decision making across ...
Backend Engineer, AI Powered: Custom Models - San Francisco, United States - GitLab
Description
The GitLab DevSecOps platform empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the world's largest all-remote companies with 2,000+ team members and values that foster a culture where people embrace the belief that everyone can contribute. Learn more about Life at GitLab.
An overview of this role
The Custom Models team is responsible for allowing customers to create and use their own fine-tuned models for use within the GitLab product and beyond. They will work collaboratively with numerous teams to ensure a full lifecycle of evaluating models, fine-tuning models, storage models, deploying models, implementing models as underlying engines behind AI agents, and protecting these models through means of various hosting techniques.
Why us? This isn't just a job; it's your chance to shape the future of AI at GitLab. Your expertise in backend development will be critical to your success. Ready to dive into the future of AI at GitLab? Apply now We're excited to meet potential candidates like you and welcome a new star to our team. Let's shape the future together
What you'll do
What you'll bring
Bonus qualifications
About the team
The Custom Models team is a new team formed with internal GitLab team members from around the globe. Engineers are primarily located across various European countries, with some distributions in Australia, New Zealand, America, and Canada. This team is growing, and there are currently 7 positions available.
The team works closely with these other teams within the organization:
How GitLab will support you
