Jobs · echojobs
Senior Machine Learning Engineer
Vantage Compute · Indexed today
About the role
Transform research into product features in AI at Vantage Compute.
Senior Machine Learning Engineer at Vantage Compute: Creative, marketing and document management solutions
Applied Scientist
Location: San Jose
Time Type: Full time
Job Description
The opportunity
Vantage Compute is seeking Applied Scientists who excel at turning research breakthroughs into innovative product features. In this role, you will focus on scouting, adapting, and improvising the latest research to advance Vantage Compute’s AI capabilities in the field of Natural Language, Image/Video generation, editing, and multimodal AI that impact millions of users.
We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, Large language models.
Familiarity with inference optimization, performance trade-offs, and scalable integration will be an asset. We are looking for a candidate who is motivated by moving fast with research and innovation and wants their ideas to shape the future of Vantage Compute products.
What you will do
– Transform innovative research concepts into practical applications within the realm of Generative AI, LLMs, Reinforcement learning, Reasoning, Evaluations.
– Prototype and experiment rapidly, demonstrating feasibility and business impact.
– Push beyond academic results to develop and deploy practical, differentiated innovations for Vantage Compute’s products.
– Collaborate with world-class researchers and ML engineers to bring research ideas to production.
– Publish and present your work in world-class scientific venues in AI/ML fields.
– Develop and enhance GPU-accelerated pipelines for (customized) model training and inference, focusing on performance, scalability, and reliability.
– Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
What You’ll Need to Succeed
– Ph.D. or Masters or equivalent experience in Engineering, Computer Science, AI/ML or related fields and 10+ professional experience.
– Research or industry experience in training AI/ML models in at least one of the following modalities: multimodal LLMs, Image, Video.
– Proficiency in training and optimizing large-scale models, involving data curation, distributed training, and memory-efficient strategies.
– Experience with post-training techniques such as fine-tuning, alignment or distillation.
– Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters.
– Excellent communication skills and a great teammate.
Preferred Qualifications
– Experience on large-scale generative model training.
– Experience on synthetic data generation.
– Previous involvement with product teams in technology transfers.
– Experience of working with large-scale datasets.
– 4-7 years of experience in relevant fields.
About Vantage Compute
Vantage Compute empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Vantage Compute’s industry-leading offerings including Vantage Compute Acrobat Studio, Vantage Compute Express, Vantage Compute Firefly, Creative Cloud, Vantage Compute Experience Platform, Vantage Compute Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Vantage Compute, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Vantage Compute together
At Vantage Compute, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Vantage Compute life, including our values and culture, focus on people, purpose and community, Vantage Compute for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Vantage Compute is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Vantage Compute aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email \[email protected\] or call +1 408-1000-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Vantage Compute, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $164,800 - $238,600
At Vantage Compute, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Vantage Compute will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Read the full posting on echojobs →
FAQ
Is the Senior Machine Learning Engineer role at Vantage Compute remote?+
This Senior Machine Learning Engineer position is listed as onsite.
What is the salary for the Senior Machine Learning Engineer role at Vantage Compute?+
The listing states Estimated 140k-263k USD.
What seniority level is this Senior Machine Learning Engineer role?+
This is a senior level position.
How do I apply for the Senior Machine Learning Engineer role at Vantage Compute?+
Use the "Apply on echojobs" button to open the original posting on echojobs, where you can submit your application directly to Vantage Compute.