Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Commit
San Francisco, CA, United States
About Us: Commit is working with a confidential partner on this role. Applicants proceeding to the next stage will receive further information about the employer and recruiting process. About the company: Company Size - 25 People Approx Funding - $30M Company Stage - Series A Backed by : Databricks Ventures, Bain Capital Ventures, Menlo Ventures In
Job Source: CommitPerplexity
San Francisco, CA, United States
Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to
Job Source: PerplexityRobust Intelligence
San Francisco, CA, United States
Vision Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases and adversarial input easily distort AI outputs and can have detrimental effects. In addition, with viral adoption of
Job Source: Robust IntelligenceTwelve Labs 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 inter
Job Source: Twelve Labs Inc.Replicate, Inc.
San Francisco, CA, United States
You’re a machine learning engineer who is an expert at productionizing and optimizing models. We have a huge library of community-contributed machine learning models. You’ll maintain some of the most popular ones so they’re fast and reliable. It’ll involve implementing open-source models, optimizing them, and doing general maintenance on them. It
Job Source: Replicate, Inc.Stealth Startup
San Francisco, CA, United States
We are one of the leading tech investment firms globally, with a track record of investing in some of the most valuable companies in the world. We are helping our early stage (Pre-Seed -> Series B) portfolio companies grow their teams. A portfolio company is looking to hire machine learning engineers as their sales increase and they confirm product
Job Source: Stealth StartupSalesforce
San Francisco, CA, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help com
Job Source: SalesforceBunkerhill Health
San Francisco, CA, United States
About The Role At Bunkerhill, we are laser focused on helping researchers bring their algorithms to the clinic. To that end, we have launched a new initiative: to build a foundation model for medical imaging! Today, when a researcher is interested in building an algorithm, they typically need to start from scratch (or use models pretrained on Ima
Job Source: Bunkerhill HealthSan Francisco, CA, United States
By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks.
Corelight is a cybersecurity company that transforms network and cloud activity into evidence. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools. Easily deployed, and available in traditional and SaaS-based formats, Corelight is the fastest-growing Network Detection and Response (NDR) platform in the industry. And we are the only NDR platform that leverages the power of Open Source projects in addition to our own technology to deliver Intrusion Detection (IDS), Network Security Monitoring (NSM), and Smart PCAP solutions. We sell to some of the most sensitive, mission critical large enterprises and government agencies in the world.
We are building a world class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis as
needed. You will be able to look back a year from now and say two things with pride: first, “Ihelped to build that.” and second, “We are generating insights that no one else in the world hasachieved.”
As a Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems. You will play a crucial role in the exploration and development of the ML capabilities powering our product offerings.
Responsibilities
Contribute to the full range of stages of AI/ML projects, from early explorations to productization and maintenance.
Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.
Design and implement strategies to deploy LLMs and for fine-tuning.
Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.
Drive adoption of ML development best practices in code health, quality, test stability and maintainability.
Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
Work in an Agile development team focused on exploring and delivering ML use cases.
Minimum Qualifications
Strong appreciation for our core values: low ego results, tireless service, and applied curiosity.
3+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning systems.
Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.
Understanding of data preprocessing, feature engineering and machine learning algorithms.
Understanding of model testing and validation techniques for ensuring model quality and performance.
Experience in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).
Experience using Docker and/or Kubernetes, and containerized applications.
Excellent communication skills to work effectively in a team.
Degree in Computer Science or related fields, or equivalent experience.
Preferred Qualifications
Experience adopting and using Agile development tools and methodologies, and working in a distributed team.
Experience with local deployments and fine-tuning of LLMs
Familiarity with the network security domain.
Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.
Experience in designing and implementing data pipelines using Apache Spark.
Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch)
Experience with experiment tracking and reproducibility tools.
We are proud of our culture and values - driving diversity of background and thought, low-ego results, applied curiosity and tireless service to our customers and community. Corelight is committed to a geographically dispersed yet connected employee base with employees working from home and office locations around the world. Fueled by an accelerating revenue stream, and investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight - we are rapidly expanding our team.
Check us out at www.corelight.com
#J-18808-Ljbffr
Email Alert for Machine Learning Engineer jobs in San Francisco, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.