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Probably Genetic
San Francisco, CA, United States
About Probably Genetic: Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and a
Job Source: Probably GeneticCrowdAI
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: CrowdAIQuinStreet
Foster City, CA, United States
Job Description Job Description Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading
Job Source: QuinStreetKuraray 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.Proprius
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: PropriusNtropy
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: NtropyShipt
San Francisco, CA, United States
Shipt, Inc. seeks a full-time Machine Learning Engineer based in San Francisco, CA. This role will drive the development and deployment of key AI initiatives (e.g., personalization, price optimization, promotion optimization, and ad tech platform) and services (e.g., quality, efficiency, security, and affordability). This position requires a Master
Job Source: ShiptSkale 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 TalentSan Francisco, CA, United States
As a Machine Learning Software Engineer, you will be responsible for training, fine-tuning, and evaluating ML models that power our consumer-focused AI applications. This will require building on-device and server-side models that are both accurate and efficient, capable of scaling up as our user base grows.
This role requires a strong understanding of machine learning, as well as experience with large-scale data processing and software engineering. Additionally, there are open-ended problems around learning multimodal representations and learning to use external databases.
Responsibilities :
Design and implement machine learning models that power novel consumer applications
Develop and maintain large-scale production data processing pipelines
Optimize models for performance, accuracy, and speed
Stay up-to-date with the latest developments in machine learning research and apply them to our products
Qualifications :
Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or related field
Strong understanding of machine learning algorithms and techniques, including Transformers, LoRA, RLHF, data cleanup and augmentation, regularization, and RETRO-style prompting.
Hands-on experience with at least one major machine learning framework such as TensorFlow or PyTorch
Experience with large-scale data processing and software engineering
Experience with natural language processing, speech processing, or computer vision
Proficiency in Python
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Nice-to-haves:
Experience with cloud computing platforms such as AWS, Azure, or GCP
Experience with data processing and ML tools like MLflow, Google AutoML, and Apache Spark
Experience building something from nothing, either at a startup or in a successful side project.
If you are passionate about building innovative new products, and you’re eager to work in a dynamic startup environment, please send us your resume, we would love to hear from you.
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Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
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