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CrowdAI
San Francisco, CA, United States
[Full Time] Machine Learning Engineer at CrowdAI (United States) | BEAMSTART Jobs Machine Learning Engineer CrowdAI United States Date Posted 26 Jun, 2022 Work Location San Francisco, United States Salary Offered Not Specified Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vacancies 1 available Apply online:
Job Source: CrowdAISkale Talent
San Francisco, CA, United States
We’re partnering with a leading autonomous driving company in San Francisco who are looking for a Senior Machine Learning Engineer to join their team. They are working on a scalable highway autonomy product for the consumer car market. Working directly with several OEM partners, they’re building an end-to-end solution to L4 autonomy, seamlessly int
Job Source: Skale TalentAtlassian
San Francisco, CA, United States
Overview: Working at Atlassian Atlassians have flexibility in where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conduc
Job Source: AtlassianTriunity Software, Inc.
San Francisco, CA, United States
JD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale. Responsibilities: Design and develop i
Job Source: Triunity Software, Inc.TEEMA
San Francisco, CA, United States
MUST have experience with Retrieval-Augmented Generation. Please do not apply to this position without this experience. 5 years experience as an engineer o Could be tech / F500 or start-ups, ideally start-up should have some ML/data focus o Experience with working on non-mature infrastructure (some big-tech candidates have only used internal tools)
Job Source: TEEMANtropy
San Francisco, CA, United States
While significantly more efficient than humans for many tasks, the cost and latency of LLMs is still prohibitive for most real world applications. At Ntropy, our mission is to make LLMs viable at scale. We are developing a new kind of domain-specific wrappers for language models, that leads to a reduction in the number of queries to the base model
Job Source: NtropyProprius
San Francisco, CA, United States
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process
Job Source: PropriusKuraray America, Inc.
San Mateo, CA, United States
The Role: We are seeking a self-motivated, experienced Machine Learning Engineer* to develop, deploy, and refine tools to accelerate our antibody design cycle. *At BigHat we believe in titles that are commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with
Job Source: Kuraray America, Inc.San Francisco, CA, United States
Who we are
At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $77 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
About the role
As a Machine Learning Engineer at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure!
In this role, you will Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems
Own model deployment, metadata management, and high-throughput inference strategy for both retrieval ("Marengo") and generative ("Pegasus") models
Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
Build the highest impact, not the flashiest, libraries and services
Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers
Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance
Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment
You may be a good fit if you have 7+ years of industry experience (or 4+ with a PhD in a related technical domain)
A PhD, or a Master's degree, in machine learning or a closely related discipline
Led teams of 3+ engineers as a technical lead
Expertise optimizing model inference with TensorRT, ONNX, Triton Inference Server, or directly related technologies
Built Kubernetes-based systems for distributed data/ML workflows or worked extensively with HPC tools such as Slurm
Scaled ML systems and/or data infrastructure to workloads of petabyte+ scale or have built 0-to-1 mission critical AI/ML applications from scratch
A passion for, and experience in, both ML modeling and ML/AI systems software engineering
Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang)
Experience with FFmpeg or other high performance image/video processing libraries (bonus points for past work with such processing on GPUs/accelerators)
Acquired, filtered, (re)labeled, or sanitized large scale language or vision-language datasets for LLM/VLM pretraining
Strong communication skills in written and spoken English
Interview and Onboarding Process
1) Recruiter Phone Screen
2) Initial Technical Assessment
3) Final round technical assessment & culture interview
4) Reference Checks
We're also excited to share that we'll do global onboarding in Seoul for all new hires (paid company travel!).
Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-to-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Twelve Labs.
We welcome applicants from all walks of life and are committed to equal-opportunity employment. We cherish and celebrate diversity not just because it is the right thing to do, but because it makes our company much stronger.
Benefits and Perks
An open and inclusive culture and work environment.
Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
Full health, dental, and vision benefits
️ Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
Remote-flexible, offices in San Francisco and Seoul and coworking stipend
VISA support (such as H1B and OPT transfer for US employees)
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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