- Glean (San Francisco, CA)
- …to deeply understand customer pain points and deliver high‑quality, production‑ready ML solutions . Mentor junior engineers or learn from experienced ones in a ... tight‑knit, high‑velocity environment. About You 3+ years of industry experience in AI or Machine Learning Engineering. BA/BS in computer science, math, sciences, or a related field. Experience with search, recommendation, natural language processing, or other… more
- WeRide.ai (San Jose, CA)
- …and robotics problems. You will work with world-class experts in the field of mobility solutions and advance the state of the art in areas such as computer vision, ... sensor fusion, machine learning, object tracking, and motion planning. What you will do: Active learning and Bayesianoptimization Anomaly detection Deep networks Distributed/parallel learning algorithms Learning control Predictive modeling Requirements:… more
- Cisco Systems (San Francisco, CA)
- …experts in the field to develop innovative communications and network processing solutions . Candidates should have a Bachelor's degree or be nearing completion, ... familiar with hardware description languages, and understand ASIC design flow. Join a company that is shaping the future of technology. #J-18808-Ljbffr more
- Anvilogic, Inc. (Palo Alto, CA)
- …product, qa, and data science, to define and deliver high-quality solutions . Contribute to system design, technical specifications and architecture decisions. ... Monitor production systems, respond to alerts and troubleshoot issues when they arise. Review pull requests and provide constructive feedback to uphold code quality standards. Take initiative being a technical leader on the team. Minimum Qualifications 5+… more
- Trov (New York, NY)
- …product and engineering teams to identify additional opportunities to leverage ML‑driven solutions Help evolve the technical direction of ML initiatives across the ... company Drive millions of dollars of revenue growth What You'll Bring 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and… more
- Blue Origin (Seattle, WA)
- …models to handle increased demand and larger datasets. Proactively propose new solutions and enhancements leveraging AI/ML to address business challenges and improve ... operational efficiency. Work with cross‑functional teams to incorporate AI/ML insights into broader business strategies and processes. Preferred Qualifications Bachelor's or higher in Computer Science, Software Engineering, Mechanical Engineering or a related… more
- Rivian (Palo Alto, CA)
- …and developing complex software applications and state machines for connectivity solutions . The ideal candidate has strong C++ programming skills and experience ... in 4G/5G application development. The position offers competitive compensation and a chance to work on cutting-edge technologies in an exciting environment. #J-18808-Ljbffr more
- Glean Technologies, Inc. (San Francisco, CA)
- …to deeply understand customer pain points and deliver high‑quality, production‑ready ML solutions . Mentor junior engineers or learn from experienced ones in a ... tight‑knit, high‑velocity environment. Qualifications 3+ years of industry experience in AI or Machine Learning Engineering. BA/BS in computer science, math, sciences, or related field. Experience with search, recommendation, NLP, or other large‑scale ML… more
- Highnote (San Francisco, CA)
- …code, mostly in Java Understanding customer problems to build the right solutions Documenting your work to support our rapidly-scaling company Interfacing with a ... variety of the company's domains to strengthen our platform What we are looking for 7+ years experience building production software systems A history of writing scalable, performant and maintainable code. We strongly believe languages can be learned and care… more
- Turing (San Francisco, CA)
- …and reliable. Collaborate with cross‑functional teams to enhance AI‑driven coding solutions against industry performance benchmarks. Build agents that can verify the ... quality of the code and identify error patterns. Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model… more
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