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Machine learning • berkeley ca

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Machine Learning Engineer

Machine Learning Engineer

HiveSan Francisco, California, United States
[job_card.full_time]
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.The company...[show_more][last_updated.last_updated_30]
Machine Learning Engineer

Machine Learning Engineer

Reducto, Inc.San Francisco, CA, United States
[job_card.full_time]
Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.The vast majority of enterprise data — from financial statements to health records — is locked in unstructure...[show_more][last_updated.last_updated_variable_days]
  • [promoted]
Machine Learning Engineer

Machine Learning Engineer

EPM ScientificSan Francisco, CA, US
[job_card.full_time]
Founding Machine Learning Engineer.An early-stage startup led by veterans from top AI labs is using machine learning to unlock breakthroughs in RNA biology. This is an opportunity to join a team at ...[show_more][last_updated.last_updated_variable_days]
Machine Learning

Machine Learning

AxiomSan Francisco, CA, United States
[job_card.full_time]
Be a founding member of a team setting out to build the first accurate AI systems for replacing lab and animal toxicity experiments with AI models. At the highest level, we only want to hire people ...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

ScribdSan Francisco, California, United States
[job_card.full_time]
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empowe...[show_more][last_updated.last_updated_30]
  • [promoted]
Machine Learning Researcher

Machine Learning Researcher

Acceler8 TalentSan Francisco, CA, United States
[job_card.full_time]
We’re representing a cutting-edge AI organization building autonomous systems that can.This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy.You’ll lead ...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

AquabyteSan Francisco, CA, United States
[job_card.full_time]
You’ll be responsible for software and machine learning model development of our on‑camera and cloud software.Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquacult...[show_more][last_updated.last_updated_variable_days]
Machine Learning

Machine Learning

VewotechnologiesSan Francisco, CA, United States
[job_card.full_time]
The emphasis is on hands on SageMaker experience.Hands-on experience with a variety of big data (Hadoop / Cloudera, Cloud, etc. Experience with object-oriented scripting languages : Java (required), ...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

King River Capital GroupSan Francisco, CA, United States
[job_card.full_time]
We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of...[show_more][last_updated.last_updated_30]
  • [promoted]
Machine Learning Researcher

Machine Learning Researcher

Goliath PartnersSan Francisco Bay Area, United States
[job_card.full_time]
SUPERCOMPUTING AI LAB W / MULTIMODAL GENERAL AGENT AI STARTUP - SERIES A $1.Goliath Partners has exclusively teamed up with an early stage startup AI Lab in SF currently valued at over $1B just afte...[show_more][last_updated.last_updated_variable_days]
  • [promoted]
Machine Learning Engineer

Machine Learning Engineer

DeepRec.aiAlameda, CA, United States
[job_card.full_time]
Machine Learning Engineer / Researcher.First hire owning agentic video pipelines.Build routing, fine-tuning, and backend logic that powers a next-gen video co-pilot. Agentic pipelines for video / image ...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

BlandSan Francisco, California, United States
[job_card.full_time]
Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses.We've raised $65 million from Silicon Valley's finest; Including Emergence Cap...[show_more][last_updated.last_updated_30]
Machine Learning Engineer

Machine Learning Engineer

KiddomSan Francisco, California, United States
[job_card.full_time] +1
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum...[show_more][last_updated.last_updated_30]
Machine Learning Engineer

Machine Learning Engineer

Remedy RoboticsSan Francisco, CA, United States
[job_card.permanent]
Cardiovascular disease is the #1 cause of morbidity and mortality in the world.Much of this could be prevented with better access to specialist care. Take stroke as an example : any delay in treatmen...[show_more][last_updated.last_updated_variable_days]
Machine Learning

Machine Learning

Pantera CapitalSan Francisco, CA, United States
[job_card.full_time]
We're a lean, multidisciplinary team of engineers building the future of home robotics.Our mission is to automate mundane tasks and give people back their time to focus on what they love.We work ac...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

Apiphany CorporationSan Francisco, CA, United States
[job_card.full_time]
Apiphany is a pioneering foundational AI company for physical product development.We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured t...[show_more][last_updated.last_updated_variable_days]
Machine Learning Researcher

Machine Learning Researcher

doeSan Francisco, CA, United States
[job_card.full_time]
At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and sec...[show_more][last_updated.last_updated_30]
Machine Learning Engineer

Machine Learning Engineer

Capital OneSan Francisco, CA, United States
[job_card.part_time]
Bachelor’s Degree • At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 2 years of experience ...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

ReductoSan Francisco, California, United States
[job_card.full_time]
Reducto helps AI teams ingest real world enterprise data with state of the art accuracy.The vast majority of enterprise data — from financial statements to health records — is locked in unstructure...[show_more][last_updated.last_updated_variable_days]
Machine Learning Engineer

Machine Learning Engineer

HiveSan Francisco, California, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.

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Responsibilities

  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and / or policy violations / breaches to an appropriate authority

Requirements

  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly : C++, Scala / Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude
  • \n

    Who We Are

    We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

    Thank you for your interest in Hive and we hope to meet you soon!

    The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.