Senior Machine Learning Engineer
Company: Hive
Location: San Francisco
Posted on: October 22, 2024
Job Description:
About HiveHive 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!Senior Machine Learning
EngineerIn 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.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
- Write and maintain scalable, performant and secure code that
can be shared across platforms
- Meaningfully contribute to the product and core backend systems
by suggesting and executing improvements
- Improve engineering standards, tooling, processes and
security
- Develop novel, accurate, and performant ML algorithms for use
at scale
- Conduct metric-driven research experiments to improve model
performance
- Provide mentorship to and help onboard junior ML engineers
- Collaborate cross-functionally with other teams
- 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 authorityRequirements
- You have a Bachelor's Degree in computer science or a related
field
- You have a minimum of 5 years of building production scale ML
models
- You know the ins and outs modern machine learning frameworks,
such as PyTorch or Tensorflow
- You are an expert in scripting languages such as Python and/or
shell scripts, particularly for data analysis
- You have experience writing code and training across
distributed systems
- You have an ability to understand and make well-reasoned
tradeoffs in designing features
- You can lead end to end development of new products
- You are very knowledgeable in at least one focus area of
machine learning, such as computer vision or NLP
- You strongly believe in high code quality, automated testing,
and other engineering best practices
- You have attention to detail and a passion for correctness
- You are comfortable with ambiguity and scoping solutions with
your teammates
- You have strong interpersonal and communication skills with a
bias towards actionWho We AreWe 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
$160,000 - $250,000. 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.
#J-18808-Ljbffr
Keywords: Hive, West Sacramento , Senior Machine Learning Engineer, Engineering , San Francisco, California
Didn't find what you're looking for? Search again!
Loading more jobs...