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Digital Force Technologies
San Diego, CA, United States
Job Description Job Description Digital Force Technologies (DFT) Machine Learning Engineer What We Do: Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation,
Job Source: Digital Force TechnologiesHP
San Diego, CA, United States
Machine Learning Engineer Description - Job Description You are out to reimagine and reinvent what is possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what is next. We are in search of talented people who are inspired by big challenges, driven to learn an
Job Source: HPUnlimit Ventures
San Diego, CA, United States
Please note - this is an evergreen role As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. You will collaborate with cross-functional teams, work on challenging projects, and work building one of our new exciting products in the environmental
Job Source: Unlimit VenturesServiceNow
San Diego, CA, United States
Company Description At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world cant wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a dr
Job Source: ServiceNowNLP PEOPLE
San Diego, CA, United States
BIG DATA Careers is currently looking for a stellar machine learning engineer. Work on pattern recognition and speech processing algorithms. Company: Big Data Careers (Rec.) Qualifications: Applicants must have the following skills or attributes: BS or MS in computer science, electrical engineering, applied math, or a related field. 0-10 years w
Job Source: NLP PEOPLEGeneral Atomics
Poway, CA, United States
Job Summary General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy a
Job Source: General AtomicsHigh-Tech Professionals
San Diego, CA, United States
MACHINE LEARNING ENGINEER Job ID: 1815 Location: San Diego, CA Type: Permanent Status: Closed Key Skills: Python, Matlab, Digital Signal Processing, DSP, Numerical optimization, linear algebra, Pattern recognition, Speech processing Description: Seeking Machine Learning Engineer to develop pattern recognition and speech processing algorithms as
Job Source: High-Tech ProfessionalsIllumina
San Diego, CA, United States
What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of d
Job Source: IlluminaSan Diego, CA, United States
About RapidFire AI
RapidFire AI is a cutting-edge deep tech startup specializing in scaling Machine Learning solutions. We are dedicated to empowering customers to effortlessly scale their AI workloads, ensuring they stay at the forefront of innovation in their industries.
About the Role
We are seeking a highly motivated and skilled Machine Learning Engineer to join our growing team. In this role, you will be responsible for developing distributed infrastructure for Deep Learning (DL) applications on the cloud, as well as contributing towards the design of newer features. You will collaborate closely with other developers and customer-facing personnel to ensure a seamless product experience. Responsibilities: Design, develop, deploy, and maintain large-scale DL infrastructure software, following best practices and SE guidelines
Contribute to designing efficient distributed systems that can scale DL computations, be modular and fault tolerant
Automate the set up, launch, and orchestration of end-to-end training and experimentation pipelines written with PyTorch, Tensorflow, or KerasUse and extend libraries like FSDP, DDP, DeepSpeed, and GPipe to train DL models across multiple GPUs
Use tools like Pandas and Dask to handle large multimodal datasets
Troubleshoot code and fix bugs to ensure smooth functioning of the applicationMonitor and troubleshoot cluster resource usage to ensure optimal performance
Conform to continuous integration and continuous delivery (CI/CD) pipeline standards for code deployment
Communicate effectively with the wider team to ensure successful application development and deployment
Collaborate with other developers to define and implement cloud infrastructure strategies for DL applications
Stay up-to-date with the latest advancements in DL and AI technologies and best practices
Required Skills: 4+ years programming experience with PythonProven experience as an ML Engineer working on deploying production model training and/or inferenceExcellent knowledge of the DL tools PyTorch and TensorFlow
Excellent knowledge and experience of using DL systems libraries such as FSDP, DDP, DeepSpeed, and GPipe
Familiarity with LLMs, finetuning, and associated conceptsFamiliarity with operating systems concepts, memory management, networking, and cloud computing
Familiarity with AWS infrastructure components like EC2, S3, EBS, EFS, EKS, and LambdaBasic experience with version control systems (e.g., Git) and collaborative development workflows
Understanding of CI/CD methodologies and toolsExcellent communication and collaboration skills
Ability to work independently and as part of a team
Strong problem-solving and analytical skills
A passion for learning and staying updated with the latest ML technologies
Nice to Have: Familiarity with Docker and Kubernetes to integrate code with underlying layers of deployment
Experience working on AWS or other public cloud providers
Experience with ML usability tools such as MLFlow, W&B, or AWS Sagemaker
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Email Alert for Machine Learning Engineer jobs in San Diego, CA, United States
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