The 3 Essentials for Successful Job Outcomes - BONUS

The 3 Essentials for Successful Job Outcomes - BONUS

Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas. First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways. Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes. Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the Dev Influencers Accelerator. Panel
  • Charles Max Wood


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Jaksot(209)

The Impact of Process on Successful Tech Companies - ML 145

The Impact of Process on Successful Tech Companies - ML 145

Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projec...

28 Maalis 20241h 5min

Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate th...

21 Maalis 202438min

MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intrica...

14 Maalis 20241h 1min

Navigating Authority and Transparency in Organizations - ML 142

Navigating Authority and Transparency in Organizations - ML 142

Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational ...

22 Helmi 202459min

Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

Davis King is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions, soft...

8 Helmi 20241h 17min

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organization...

25 Tammi 20241h 5min

Lyft's ML Infrastructure Journey - ML 139

Lyft's ML Infrastructure Journey - ML 139

Konstantin Gizdarski and Jonas Timmermann are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and succes...

18 Tammi 20241h 5min

From Open Source to Traditional ML with James Lamb - ML 138

From Open Source to Traditional ML with James Lamb - ML 138

James Lamb is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journe...

4 Tammi 202454min

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