NewLinguist U.S. NavyLinguistSan Marcos, CALinguist or Linguistics (Cryptologic Technicians Interpretive) Category: Enlisted Component: Active Community: Information Warfare Overview Cryptologic Technicians Interpretive (CTI) are highly skilled linguists and intelligence professionals. 2. Phase II, Cryptologic Linguistic Training Information Warfare Training Center Monterey Detachment Goodfellow, Goodfellow Air Force Base, Texas Approximately 13 to 19 weeks Sailors develop technical and analytical cryptologic language skills.
NewCryptologic Technician Interpretive U.S. NavyCryptologic Technician InterpretiveNational City, CALinguist or Linguistics (Cryptologic Technicians Interpretive) Category: Enlisted Component: Active Community: Information Warfare Overview Cryptologic Technicians Interpretive (CTI) are highly skilled linguists and intelligence professionals. 2. Phase II, Cryptologic Linguistic Training Information Warfare Training Center Monterey Detachment Goodfellow, Goodfellow Air Force Base, Texas Approximately 13 to 19 weeks Sailors develop technical and analytical cryptologic language skills.
Video Codec Machine Learning Engineer, Audio & Media Technologies Apple IncVideo Codec Machine Learning Engineer, Audio & Media TechnologiesSan Diego, CADriven by this mission, our team develops cutting-edge video coding, processing, machine learning, and systems engineering technologies that power intelligent and immersive video experiences across Apples iconic products and platforms, including Photos, Camera, Spotlight, FaceTime, AirPlay, Sidecar, and Apple TV. Driving Cross-functional Collaboration: Partnering closely with software and hardware teams to define, architect, and implement cutting-edge video coding and machine learning algorithms, bringing them to life across Apples iconic products and platforms.
Machine Learning Engineer, Software QA - Creativity Apps Apple IncMachine Learning Engineer, Software QA - Creativity AppsSan Diego, CAWe're looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps clients through rigorous testing methodologies. Bachelors degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.
Senior Machine Learning Engineer SeaSatellites IncSenior Machine Learning EngineerSan Diego, CA$180,000–$250,000 / yearTrack record of shipping performant ML models to edge devices and hands-on experience with model optimization for the edge (quantization, pruning, and inference runtimes such as TensorRT or ONNX Runtime). This is an excellent opportunity to do high impact work, see your models running live on vehicles at sea, and join a fun and hard-working team on the cutting edge of ocean autonomy.
Machine Learning Engineer - Camera & Photos, Creative Foundations Apple IncMachine Learning Engineer - Camera & Photos, Creative FoundationsSan Diego, CAYoull continuously survey state-of-the-art research, rapidly prototype high-potential ideas, and translate them into shippable features - while also leveraging model introspection and interpretability techniques to deeply understand why models behave the way they do and guide decisions accordingly. Deep understanding of modern ML architectures and techniques - including (but not limited to) transformers, diffusion models, contrastive learning, multi-modal models, and efficient neural network design and optimization.
Data Scientist / Machine Learning Engineer Trabus TechnologiesData Scientist / Machine Learning EngineerSan Diego, CaliforniaThe successful candidate will develop machine learning models that provide predictive insights and analytics for robust, web-based, full-stack AI applications supporting both government customers — including the Department of Defense (DoD), Department of Transportation (DoT), and National Oceanic and Atmospheric Administration (NOAA) — and commercial customers. In this role, you will combine machine learning, data science, and software engineering skills to support a variety of AI-based projects, including resource planning for ship maintenance, marine transportation, and climate and environmental informatics.
Senior Machine Learning Scientist CotalitySenior Machine Learning ScientistSan Diego, CaliforniaDistributed Computing: Hands-on experience with distributed computing frameworks (e.g., Apache Spark, Ray, Dask, or Hadoop) to scale machine learning workloads and process massive datasets. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy.
Machine Learning Engineer Platform - iCloud Mail Intelligence Apple IncMachine Learning Engineer Platform - iCloud Mail IntelligenceSan Diego, CAExperience with agent-based architectures, orchestration frameworks, and LLM observability and evaluation tooling Expertise with LLMs, including fine-tuning, prompt engineering, embeddings, retrieval systems, evaluation, and integration into production systems. In this highly transparent position, the successful candidate will enhance existing mail systems while collaborating with multi-functional engineering teams, and also implement new customized mail experiences, in addition to preventing abuse of the system.
Machine Learning Engineer III Marlin Alliance IncMachine Learning Engineer IIISan Diego, CAPosition Overview The Machine Learning Engineer III designs and implements sophisticated models and algorithms tailored for naval applications, leveraging expertise in modern machine learning methods and cloud-native development. Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
Machine Learning Engineer II General AtomicsMachine Learning Engineer IIPoway, CAIn product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
Physics Informed Machine Learning Scientist ASMLPhysics Informed Machine Learning ScientistSan Diego, CaliforniaThe Physics Informed Machine Learning Scientist works on the Virtual Source team building integrated master-model frameworks to capture the tightly coupled, multi-physics behavior of the system—enabling system-level optimization, reducing uncertainty in future source configurations, and guiding early technology decisions. Experience solving complex, open-ended modeling problems using optimization and deep learning methodologies, with strong expertise in data management and building scalable data and training pipelines for end-to-end model development and training.
Machine Learning Engineer III General AtomicsMachine Learning Engineer IIIPoway, CATypically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
Principal Machine Learning Engineer AppFolioPrincipal Machine Learning EngineerSan Diego, CA$264,000–$330,000 / yearAt its core, Realm-X is built on a structured domain ontology and a set of shared business primitives-such as transactions, actions, reports, metrics, and skills-that enable AI systems to deeply understand and operate across the full context of property management workflows. We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate Performance Management (RPM) platform - autonomous AI agents that can deliver property management performance.
Senior Machine Learning & Autonomy Engineering AerovironmentSenior Machine Learning & Autonomy EngineeringSan Diego, CA$123,500–$188,500 / yearThis role sits at the intersection of signal processing, statistics, deep learning, and MLOps, working closely with our San Diego AI/ML team, SW engineers, and field test teams to train models, improve data quality, and scale our detection capabilities. You will work with large-scale RF datasets, applying DSP techniques for denoising and preconditioning spectrograms, building data pipelines, and identifying opportunities to automate manual workflows.
Principal Machine Learning Engineer AppFolio IncPrincipal Machine Learning EngineerSan Diego, CA$264,000–$330,000 / yearAt its core, Realm-X is built on a structured domain ontology and a set of shared business primitives-such as transactions, actions, reports, metrics, and skills-that enable AI systems to deeply understand and operate across the full context of property management workflows. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents).
Machine Learning Engineer III The Marlin AllianceMachine Learning Engineer IIISan Diego, CA$140,000–$195,000 / yearPosition Overview The Machine Learning Engineer III designs and implements sophisticated models and algorithms tailored for naval applications, leveraging expertise in modern machine learning methods and cloud-native development. Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
Sr Machine Learning Engineer The Marlin AllianceSr Machine Learning EngineerSan Diego, CA$165,000–$195,000 / yearAbility to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions. Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact.
Research Scientist II/Senior, Discovery Machine Learning Iambic TherapeuticsResearch Scientist II/Senior, Discovery Machine LearningSan Diego, CaliforniaIn this role, you will be a key player in applying advanced ML techniques to support our drug discovery efforts and will be part of drug discovery teams pursuing important therapeutics across multiple indications. The work will include focus on our flagship machine learning models, including Enchant, our multimodal transformer model for predicting drug-target interactions and molecular properties.
Sr Engineer II, Machine Learning Element BiosciencesSr Engineer II, Machine LearningSan Diego, CA$139,500–$183,500 / yearThis role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. Education and Experience: Master's degree in Data Science, Bioinformatics, Computational Biology, or a related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience.