home.social

#mlengineer — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mlengineer, aggregated by home.social.

fetched live
  1. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

    #FediHire #GetFediHired #JobSearch #LosAngeles #RemoteWork #MLEngineer #DataScientist #SoftwareEngineer #Python #FullStack #GenAI

  2. I am seeking a job as a computer science college graduate. I am open to being a machine learning engineer, data scientist, software engineer, or other similar role. I can work near Los Angeles or do remote work. I utilize Python, full-stack development, generative AI, and much more.

    #FediHire #GetFediHired #JobSearch #LosAngeles #RemoteWork #MLEngineer #DataScientist #SoftwareEngineer #Python #FullStack #GenAI

  3. AI can help with interview prep—but don’t rely on it blindly.

    ➜ Use AI to refresh what you already know
    ➜ Ask specific questions with context
    ➜ Always ensure you understand the why behind the answer

    AI should assist, not replace, real learning.

    #MLEngineer #TechInterviews

  4. Want to break into ML engineering? The real path looks like this:

    ➜ Build a project for yourself—see if you enjoy it
    ➜ Fill in gaps with courses (now you know what’s missing)
    ➜ Build something useful for others
    ➜ Start applying & prepping

    Actively building matters more than just studying.

    #MachineLearning #MLEngineer

  5. When applying for MLE jobs:

    ➡ Stay organized—batch applications by similar requirements
    ➡ Prep for specific interview types
    ➡ Expand filters only if needed

    Too much variation = burnout. Stay focused and sane!

    #MLEngineer #JobSearch #TechInterviews

  6. After Senior MLE, your career can branch into 5 paths:

    ➡ Architect: Designing big systems
    ➡ Tech Lead: People-focused leadership
    ➡ Problem Solver: Tackling deep challenges
    ➡ Right Hand: Flexible leadership across roles
    ➡ Manager: Strategic leadership

    What kind of ML leader do you want to be?

    #MLEngineer

  7. My student just crushed the ML System Design interview and landed a Meta E5 offer:

    Base: $230k
    Bonus: 15%
    Sign-on: $80k
    RSUs: $875k over 4 years, vesting quarterly with no cliff

    Hard work and preparation pay off—congrats to him!

    #MLEngineer #TechCareers

  8. Revolutionary Development in Machine Learning Engineering 🔧

    • 🤖 #NEO launches as world's first autonomous #AI #MLEngineer, transforming traditional ML workflows

    • 🔄 System features parallel processing agents that handle entire pipeline from data prep to deployment, making development 10x faster

    • 📊 Impressive performance metrics: Secured medals in 26% of tested #Kaggle competitions, matching #OpenAI benchmarks

    • 💻 Tackles key #MachineLearning challenges:
    - Data quality & preparation
    - Model selection & optimization
    - Computing resource management
    - Deployment & monitoring

    • 🎯 Real-world applications demonstrated through credit card fraud detection and book recommendation systems

    • 🚀 Currently accepting early beta users through waitlist

    Learn more: heyneo.so/blog

    📺 youtu.be/_c5R4_HwAng?si=4Nmi4y

  9. Revolutionary Development in Machine Learning Engineering 🔧

    • 🤖 #NEO launches as world's first autonomous #AI #MLEngineer, transforming traditional ML workflows

    • 🔄 System features parallel processing agents that handle entire pipeline from data prep to deployment, making development 10x faster

    • 📊 Impressive performance metrics: Secured medals in 26% of tested #Kaggle competitions, matching #OpenAI benchmarks

    • 💻 Tackles key #MachineLearning challenges:
    - Data quality & preparation
    - Model selection & optimization
    - Computing resource management
    - Deployment & monitoring

    • 🎯 Real-world applications demonstrated through credit card fraud detection and book recommendation systems

    • 🚀 Currently accepting early beta users through waitlist

    Learn more: heyneo.so/blog

    📺 youtu.be/_c5R4_HwAng?si=4Nmi4y

  10. Your first ML design task: understand the question. 5 minutes of clarity will save you from an entire interview gone wrong. ⏳ #MLEngineer #SystemDesign

  11. The best mentors? They don’t just give advice—they help you navigate the unknown. Build a mentorship team. 🧠 buff.ly/3TrECFv #TechMentorship #MLEngineer

  12. You don’t need one mentor—you need a team. Build diversity in expertise, not just a single go-to person. 🤝 More here: buff.ly/47yNSgP #TechMentorship #MLEngineer

  13. Building a strong network starts from day one! 🕸️ Make a list of key stakeholders and set up meetings to understand their goals and how your work fits in.
    Get more tips on accelerating your career in my newsletter: buff.ly/4d6tAfC #Networking #TechCareer #MLEngineer

  14. Your roadmap to passing the ML Design interview? Focus on the 6 key stages. Find out what they are: buff.ly/3XqyVJd #TechInterviews #MLEngineer

  15. RSUs are taxed as income on the day they vest. 🏦 Plan your financial strategy accordingly. More details in my blog: buff.ly/3B2MruR #TechCompensation #MLEngineer

  16. Your first weeks in a new role? The best time to “look like an idiot” 🤪. Ask questions, commit code, and focus on learning.
    Get more career strategies in my newsletter: buff.ly/4d6tAfC #MLEngineer #Onboarding #CareerGrowth

  17. #Negotiation doesn’t stop at salary. Project scope, deadlines, team resources—all of these are part of your daily work life. 🧠 #MLEngineer #TechCareer

  18. Don’t focus on “XGBoost” in your ML Design round—think “model” first. Keep it high level and avoid miscommunication. #MLEngineer #MLInterview

  19. What separates great candidates from good ones? Breadth of knowledge AND strong communication. #MLSystemDesign #MLEngineer

  20. Think you’re ready for an ML interview? If you can’t explain your big-picture design in 6 minutes, you’re not ready yet. ⏳ #MLEngineer #SystemDesign

  21. What’s the most common question in an ML Design interview? Hint: it’s not about fancy algorithms. It’s about recommender systems. Watch to learn more: buff.ly/3ZoByO9 #MLEngineer #RecommenderSystems

  22. What makes a great #MLEngineer? It’s not just knowing the latest model—it’s understanding how to make systems scale. 🏗️ #Scalability #MachineLearning

  23. 🔑 Key to acing any ML Design round: don’t ask endless clarifying questions. Make assumptions, and show you know how to navigate ambiguity. #MLSystemDesign #MLEngineer

  24. Only 12% of employees agree their company has a good onboarding process. 😱
    Here’s the thing: how well you onboard is the top predictor of your career success. Take ownership, have a plan, and recreate your career. 🚀 #CareerGrowth #Onboarding #MLEngineer

  25. Are you optimizing the wrong things before an interview? Don’t focus on loss functions—focus on how well you understand the question. 🎯 #MLEngineer #InterviewTips

  26. If your interviewer is confused, it doesn’t matter how good your solution is. Make sure your communication is as sharp as your code. 💬 #MLEngineer #MLSystemDesign

  27. [Part 5]
    💭 If you're reading this & you've been involved with developing an ML Platform, how did you approach the "centralize vs distributed" discussion? What worked? What failed?

    👇 Let me know in the comments below!

    #mlops #mlplatform #ai #strategy #dataops #dataengineering #devops #platformengineering #platformdesign #mlengineer

  28. [Part 5]
    💭 If you're reading this & you've been involved with developing an ML Platform, how did you approach the "centralize vs distributed" discussion? What worked? What failed?

    👇 Let me know in the comments below!

    #mlops #mlplatform #ai #strategy #dataops #dataengineering #devops #platformengineering #platformdesign #mlengineer

  29. Hi, I'm Josie, I'm #trans, #lesbian, and #polyamorous (with two fiances!), I'm #autistic and have #adhd, and I'm a machine learning engineer (MLE) for a large gaming company.

    I'm thinking of migrating from tech.lgbt to here
    ​:purple_heart:​

    #MLEngineer #MLE #machinelearning #videogames #gamedev

  30. Hi, I'm Josie, I'm #trans, #lesbian, and #polyamorous (with two fiances!), I'm #autistic and have #adhd, and I'm a machine learning engineer (MLE) for a large gaming company.

    I'm thinking of migrating from tech.lgbt to here
    ​:purple_heart:​

    #MLEngineer #MLE #machinelearning #videogames #gamedev

  31. 🧠 Everyone else: <LLM Experts, producing multi-modal Gen AI systems. >

    🤓 Me: <Still troubleshooting that lambda function to calculate Euclidean distance of lat/long columns in Polars Dataframe for a sample project in Colab. > 😅

    -----
    #datascience #mlops #productionml #ai #mlengineer

  32. 🧠 Everyone else: <LLM Experts, producing multi-modal Gen AI systems. >

    🤓 Me: <Still troubleshooting that lambda function to calculate Euclidean distance of lat/long columns in Polars Dataframe for a sample project in Colab. > 😅

    -----
    #datascience #mlops #productionml #ai #mlengineer

  33. Build vs Buy, Centralized vs Distrib...

    These are false dichotomies as many orgs follow a similar path of:
    1️⃣ When building new, first centralize
    2️⃣ Move to distrib. model to avoid blocking
    🔁 Start cycle again

    So really, pull & release, pull & release is closer to the actual cadence & is also why the responses are so....lame when panels are asked "How do you navigate the Build vs Buy dilemma?" for the 100th time.

    #mlops #mlengineer #datascience

  34. Build vs Buy, Centralized vs Distrib...

    These are false dichotomies as many orgs follow a similar path of:
    1️⃣ When building new, first centralize
    2️⃣ Move to distrib. model to avoid blocking
    🔁 Start cycle again

    So really, pull & release, pull & release is closer to the actual cadence & is also why the responses are so....lame when panels are asked "How do you navigate the Build vs Buy dilemma?" for the 100th time.

    #mlops #mlengineer #datascience

  35. I think it's tremendously impt to understand lower-level concepts to become a great #datascientist and #mlengineer for the long-haul.

    But if you're struggling to break in, first evaluate whether the gap is actually understanding high-lvl concepts. #🐘