位于c23的 17 个优质machine learning engineer职位（正在招聘！）

(Sr.) Consultant – R&D Consulting
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- 合同工
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Apple —上海市
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Siemens —上海市
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AI Software Engineer — High-Performance GPU Communication
Advanced Micro Devices, Inc —上海市
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HP —上海市
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Apple —上海市
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Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR
Bosch Group —上海市
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Machine Learning Engineer, ML Infrastructure (New Grads)
Unity Software (Shanghai) Co., Ltd —上海市
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AI HVAC Control Research Scientist_CR
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(Sr.) Consultant – R&D Consulting

Siemens -
上海市

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职位详情

合同工
7 小时前

完整职位描述

To solve the biggest challenges of our time, we need bright minds with the ambition to make the impossible possible. Siemens is your place to thrive, challenge the status quo, make a difference and grow in a team of innovators who share your passion for tech. Are you in?

For our team, we are looking for (Sr.) Consultant – R&D Consulting to help us drive ADV business within Siemens and beyond. We are a highly motivated team and excited to get to know you.

You'll make an impact by

Help clients identify and improve the PLM/IPD processes, incl. product portfolio management, product requirement definition, product development, product commercialization and phase out.
Help clients build up capabilities and competence in Product Lifecycle Management domain, e.g. R&D project execution and delivery.
Understand clients’ pain points and expectations in PLM processes, practices and IT systems, analyze root causes and provide professional and practical recommendations and solutions to improve client’s QCD (quality, cost, delivery) KPIs.
Guide through or coach customers to understand, accept and implement the recommendations and solutions provided above, realizing the customer impacts in terms of QCD KPIs.
Lead or participate in defining clients’ digital R&D transformation roadmaps, including but not limited to: Model-Based Systems Engineering (MBSE), application of digital twins in product development, and implementation of DevOps / Agile methodologies for hardware-software integrated products.
Guide clients in leveraging digital platforms to streamline end-to-end product lifecycle processes and enable data-driven decision making.
Explore and drive the adoption of Artificial Intelligence (e.g., Generative AI, Machine Learning) across the R&D value chain, such as intelligent requirements analysis, automated testing, knowledge graph–based R&D decisions, AI-assisted simulation and optimization.
Facilitate internal and external workshops with customers, with a structure and guided group discussion on strategy, solutions, interviews, etc.
Be responsible for leading clients through these operational improvements and scale up business transformations as a thought leader, people leader and organization leader
Proactively manage changes with professional methods and handling complex analyses and resolve customer issue.
Work hand in hand together with clients on each engagement, facilitating working sessions with client management/project teams, motivating and coaching the client team during transformations.

Your defining qualities

Be passionate about consulting and solving client’s problems in PLM/IPD/R&D domains.
Familiar with basic consulting skills as a structure thinking, visualization, questioning and interview, presentation and workshop moderations, etc.
5+ years of work experience in Product Lifecycle Management as Product Manager, R&D Project Manager, R&D Engineer, Product Customization, and/or Production Engineering.
Familiar with CMMI (Capability Maturity Model Integration) and/or IPD (Integrated Product Development) and/or NPD (New Product Development).
3+ years of working experiences in a consulting firm as a PLM, CMMI, IPD or NPD consultant.
PLM software (e.g. TeamCenter, Winchill, ENOVIA) background and consulting experiences is preferred.
Deep understanding of AI/ML applications in R&D, supported by real project experience (e.g., NLP for requirements management, computer vision for defect detection, predictive models for R&D scheduling optimization).
Working experiences or consulting experiences in modularization (or reuse design, product line engineering, requirement engineering etc.) is preferred.
Result oriented with structured analytical skills, with the ability to translate analysis into solutions.
Evidence of a distinctive career achievement and/or academic record. Master degree, other graduate level degree preferred.
Comfort with extensive travel (60% or above)
Fluent written and verbal communication skills in Mandarin and English

You'll benefit from

Diverse and inclusive culture, doing the work you like with people who appreciate it.
Systematic career development platform, various training courses, and online learning resources for you to help you tailor your growth path based on your strengths.
15 days+ annual leaves, with additional benefits such as Christmas leave.
Generous benefits package, long-term care corporate annuity plan, flexible allocation of commercial insurance, employee stock sharing matching plan for mutual growth, etc.

Transform the everyday with us!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building an inclusive workplace where every voice is heard, and all our people are respected, valued and empowered to contribute fully. Come bring your authentic self and transform the everyday with us.

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在c23的machine learning engineer个职位

(Sr.) Consultant – R&D Consulting

Senior AI Engineer (Python/ML)

ADAS Algorithm Engineer – Plan & Control Evaluation 智驾规控算法评测算法工程师

AI Compiler and Library Engineer

Data Engineer, IS&T Ai & Data Platforms

Senior Applied Scientist, Large Language Models

Software Engineer - Generative AI & ML

Data Engineer (Customer Analytics), IS&T Ai & Data Platforms

Expert Research Scientist on Polyfunctional Robot Perception & AI

AI Software Engineer — High-Performance GPU Communication

Sr. Manager, Future Computing Prototyping Studio

Software Engineer - Athena Synapse, IS&T Ai & Data Platforms

AI HVAC Control Research Scientist_CR

Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR

Machine Learning Engineer, ML Infrastructure (New Grads)

Staff/ Senior Machine Learning Engineer, ML Infrastructure- Offline

Staff/ Senior Machine Learning Engineer, ML Infrastructure- Online

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