SoC Machine Learning Software Engineer Sunnyvale,California,United States Hardware By collaborating with other product development groups at Apple, youll push the industry boundaries of what wireless systems can do and improve the product experience for our customers worldwide. Join Apples world-class silicon development team as an ML SW Engineer on the Cellular FW team. As a key player, you will orchestrate the research, design, and implementation of groundbreaking AI/ML models, methodologies, and applications revolutionizing embedded 6G/5G/4G/multimode cellular firmware development and silicon/FW integration. In this role, you will be directly involved in our Cellular Modem firmware machine learning efforts, collaborating alongside our internal multi-functional teams and using your expertise in machine learning to improve device performance across diverse modem functions. Additionally, you will demonstrate your knowledge and hands-on experience to apply Gen AI and LLMs to improve engineering development workflow automation and efficiency. Your work will impact every Apple product, pushing the industry boundaries of what wireless systems can achieve with 6G and beyond! **Description** As an ML SW Engineer, you will be at the forefront of using AI/ML to transform cellular firmware development. Your responsibilities will include: - Develop and deploy innovative ML models on Apple Silicons, focusing on Cellular Modem algorithms and usage scenarios. - Research, evaluate, design, and implement deep learning and Gen AI architectures to enhance inherent model performance. Apply these architectures to cellular modem firmware development and HW/SW system bring-up applications. - Work closely with multi-functional teams across Apple to drive innovation and improve the product experience for our customers worldwide. **Minimum Qualifications** + Minimum BS with 3+ years of proven experience. + Hands-on experience in building, training, and deploying deep learning models, including LSTM, CNN, RNN, transformers. + Have practical experience and knowledge of applying ML/AI methods to real-world data analysis and usage scenarios, using generative AI and modern machine learning methods, particularly deep neural networks and reinforcement learning. + Proven knowledge of software engineering principles and core computer science fundamentals and excellent proficiency in Python and C/C++. + Knowledgeable in building architectures and incorporating SOTA LLMs into application frameworks. + Experience in building Gen AI applications to tackle real-world engineering problems, demonstrating techniques like RAG, Prompt engineering, and Fine-tunings. + Familiarity with toolchains and packages like PyTorch, Langchain, CoreML, MLX. **Key Qualifications** **Preferred Qualifications** + MS or Ph.D. + Experience with relational database (e.g Postgres), SQL, non-relational database (e.g.Mango DB) and vector DBs. + Experience in using various analytics and statistical methods for feature extraction and abstraction, to transform data into useful insights and actionable results. + Top-notch abilities to conduct independent research, prototype, evaluate, and complete end-to-end design iterations. + Embedded and HW/SW integration experience. **Education & Experience** **Additional Requirements** **Pay & Benefits** + At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. + Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Machine Learning Computer Vision Software Engineer (Oregon/California) POSITION INFORMATION As a Machine Learning Engineer at Datalogic, you will collaborate with a dynamic team of experts to develop cutting-edge machine learning and deep learning solutions that revolutionize retail and industrial applications. ROLE MISSION Your work will directly impact Datalogic's new generation of products, from enabling advanced computer vision capabilities in the retail spaces, to optimizing industrial automation processes and improving efficiency for transportation and logistics pipelines. KEY RESPONSIBILITIES •Design and implement novel machine learning and deep learning algorithms for part inspection and computer vision tasks. •Prototype and develop innovative algorithms and establish robust testing pipelines to evaluate their performance across diverse datasets. •Train, fine-tune, and optimize deep learning models to achieve state-of-the-art results. •Collaborate with software engineers to transform prototypes and ideas into practical, deployable systems. •Contribute to Datalogic's intellectual property portfolio through patent filings. •Mentor and guide interns, fostering their growth and development. Qualifications/Requirements QUALIFICATIONS/REQUIREMENTS Education (School/Specialization) Master's degree in Computer Science or a related field or Bachelor's Degree in Computer Science/related field with work experience in R&D Primary Language English/full proficiency Experience •3-5 years of hands-on experience in developing and deploying machine learning and deep learning systems, ideally with a focus on computer vision applications such as object recognition. •Proficiency in computer vision techniques, including object recognition, image segmentation, and feature extraction. •Expertise in deep learning frameworks such as TensorFlow or PyTorch. •Strong mathematical and analytical skills, coupled with exceptional programming skills in Python and C/C++. •Demonstrated ability to design and implement efficient software solutions. •A proactive, self-starter attitude, thriving in a fast-paced, innovation-driven environment. Bonus Qualifications: •Ph.D. in Computer Science, Computer Vision, Machine Learning, or Deep Learning. •Publications in conferences or journals. •Experience with cloud computing platforms (e.g., AWS, Azure, GCP). •Contributions to open-source machine learning projects. OTHER INFORMATION & SPECIFIC SKILLS •Innovative mindset •Problem solving attitude •Willingness to work with international teams •Practical mindset •Self-starter •Creative/curious Availability to travel to Eugene, Oregon approximately 4-6 times per year #LI-EN1 About the Company COMPANY BACKGROUND Datalogic is a global technology leader in the automatic data capture and factory automation markets, specialized in the designing and production of barcode readers, mobile computers, sensors for detection, measurement and safety, RFID, vision and laser marking systems. Datalogic can boast over 50 years of history, during which it has achieved unique results: approximately 1.200 patents in multiple jurisdictions; 11 research centers and development (in Italy, USA, China and Vietnam); thousands of prestigious partners and customers deployed over five continents. The company has grown constantly over the years, thanks to the dedication with which customer needs have always been at the heart of the quality of its products and to the considerable investments in Research & Development, supported by a management capable of looking to the future. Today, Datalogic Group has approximately 3,000 employees worldwide, distributed in 29 offices, with 11 manufacturing and repair facilities in the USA, Hungary, Slovakia, Italy, China, Vietnam and Australia. Datalogic S.p.A. is listed on the STAR segment of the Italian Stock Exchange since 2001 as DAL.MI. In 2022, the Datalogic Group made significant strides and concluded the year by generating revenue of approximately €655 million. The Group is headquartered in Bologna, Italy. Datalogic USA, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, genetic information, or any other characteristic protected by federal, state, or local laws. Datalogic USA, Inc. is committed to ensuring an inclusive work environment where all individuals can thrive. We seek to attract, develop, and retain diverse talent who reflect the customers we serve, and we strongly encourage all qualified candidates to apply. US work authorized applicants only

<h3>Job Description</h3><div>Job Description<div>ML - Handson Tensorflow Dev-ML pipeline and process-Strong python coding skills-Experience in deploying models-API development-Flask or Django experience</div></div>

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Soc Machine Learning Software EngineerOctober 19, 2024

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