TODO
for post
jobs
- company size, sector and role
matters for working your way up leadershp too
dynamic range, ability to acquire context
able to converse with marketing theme for example, spent just a week reading marketing books
adept at working with PR theme, can also engineer. Can bridge. Be a translator between organs of the company.
NOt the smartest person in the room (the highest leverage person in the room)
aim and shoot
switching bewteen IC and manager
things to add to CV
- cross functional collaboration, more clienty stuff for the tech consultant roles
the average resume has about 20 bullet points - you don’t have space for everything, even though you’ve done more than you can describe in the bullets
CV
Accomplished [X] as measured by [Y] by doing [Z]
https://docs.google.com/document/d/1TDGkSD5l--GjKu56jw6frHmjr075QHbr_wfma_gmv8s/edit?tab=t.0
“Developed investment case”, “Solved client’s concern”, “Identified commercial risk”.
ighly targeted: Apart from his professional consultant experience, notice that two of Henry’s internship experiences are not directly related to management consulting. But they earn their spots in his resume because he’s able to highlight the aspects of these experiences that are relevant to consulting, i.e. client relationship management, project management methodologies and tools, and collaboration. They also show that he’s suitable for a range of different industries such as manufacturing, insurance, and finance.
i like how preplounge highlighted stuff
types of CV
- ML engineer, data analyst/scientist, data-driven/tech consultant (3)
- make a good CV
palantir SWE/ forward depolyed SWEs Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
the forage for data analysis experince would be good too, but it seems like there are slightly less jobs im applying to in that area that are strict data analysis
more on the ML engineer side cus of my prior experience
understand the tech stack of the company e.g. why amazon uses dynamodb over sql database
resources (oxford website, SWErikCodes resume template/ google youtube videos of people applying for jobs/headless headhunter)
Applying to jobs out of college and when switching industries are the most difficult times to apply for job
1/25 interview rate is grade A resume for normal jobs, if below 1/100 something is wrong
Resume is to check you meet the basic requirements for the job, and to sum up your past experience fully.
Recruiters should not have to piece together/search to find how what you’re doing is relevant. If they do, your work experience is not related enough.
Used
Steve Jobs quote
think about how much leadership capability they want you to show. in general, you need a foundation of technical capability to be able to lead. but steve jobs quote about leading yourself/employees leading themselves, the most basic jobs wont screen for that at CV stage/ it won’t carry you. You need to show you meet the BASIC requirements
graduate jobs are different, you can show off potential a bit more
The steps when applying to a job
Resume
Technical Interview
Personal intervuew
RAEng report and claim expense
machine learning is interesting
research interests
Physics historically used mathematics as a lens — describing the world through equations derived from first principles. Machine learning, by contrast, offers a new kind of lens — describing the world through statistical or data-driven models that capture patterns directly from experience rather than deductive reasoning.
So, where math-based physics sought truth through axioms and derivations, ML-based science seeks structure through inference and prediction.
these kinds of models work in tandem with rule based models to increase our understanding of the world - particularly becuase many phenomena cannot easily be broken down into clockwork rules - instead there are patterns that can be observed at different levels of abstraction. and by improving our model we can improve our theories at each level of abstraction
language is an interface for cognition
some social theories e.g. principles of influence, pyschology could mainly be described experimentally or through “intuition” but now ML and language offer a new lens into these things
physics before was about using mathematics as a lens into the world, now machine learning allows almost a paradigm shift lens into the world by describing phenomena in terms of statistical models
- using language as a lens into new domains of science (particularly ones where theories exist but haven’t been put into programmatic models) e.g. cognitive science, complexity theory, economics, game theory, information theory
“Language as a bridge from human intuition to formal scientific models.”
“Building computational mirrors of science through language.”
general interests
data science
linkedin post
we create rigid world that is meant to evolve
rooms you cannot enter unless you pay a fee
e.g. programming too, is not natural to people because the brain si not built for structuring thing in terms of deductive logic
technical debt and stuff
even words and language, we try to codify it
that’s why contextual language models are so much more powerful than static embeddings
list of skills
Python, C++, SQL, HTML/CSS, JavaScript,
FastAPI
Streamlit
Git, AWS, CI/CD, MLOps, MLFlow, OOP, Excel, Slurm, Linux CLI
pandas, numpy, pytorch, matplotlib,
that work experience platform?
AWS, Docker/containerisation, CI/CD, SQL, MLOps, MLFlow, OOP, Git, Excel other: Streamlit, Slurm, Linux CLI,
skills I need to add
SQL - add it to the ML china project SQLZoo and mode.com
assessment tests
- morissons
- capital one
- lidl
job applications:
- black rock -goldman
- starling
- diamond light source
- first rail
- lloyds
tomo lloyds
other general skills
AWS, Docker/containerisation, CI/CD, SQL, MLOps, MLFlow, OOP, Git, Excel other: Streamlit, Slurm, Linux, (CLI?)
other other: agile/waterfall, software dev methodologies, test-driven development
other buzzwords: client, stakeholders, cross-functional collaboration
other project idea: do some analysis of YT videos, e.g. power law of views, connectedness of network
how different are real life networks to social media networks? social media networks give culture out, so we produce less of it. more top down
that thing about wikipedia is like a self similar network
tiktok
Minimum Qualifications:
- Bachelor degree or above, computer, statistics, mathematics and other related majors are preferred; English can be used as a working language;
- Skilled in SQL , EXCEL, Python at least one scripting language, familiar with common data statistics and analysis methods;
- Good communication skills, teamwork spirit and initiative;
- Good logical thinking ability, business interpretation ability and fast learning ability;
- Sensitive to numbers and passionate about data analysis.
Preferred Qualifications:
- Internship experience in Data Science/Data Analyst area.
Be familiar with software development methodologies (e.g., Agile, Waterfall).
Be knowledgeable about data manipulation languages and data modeling principles.
Have the ability and desire to learn new processes and technologies.
Be knowledgeable about test-driven development.
octopus energy
Essential: Python AWS SQL (Spark/Postgres preferably)
Areas for Growth: Airflow Experience using CLI tools Docker/EKS Spark DBT Circle CI
Experience with MLOps tools and practices, including Airflow, MLflow, and containerisation such as Docker.
BCG X: We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following:
Apply software development practices and standards to develop robust and maintainable software
Actively involved in every part of the software development life cycle
Experienced at guiding non-technical teams and consultants in and best practices for robust software development
Optimize and enhance computational efficiency of algorithms and software design
Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
Enjoy collaborating in teams to share software design and solution ideas
A natural problem-solver and intellectually curious across a breadth of industries and topics
Master’s degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master)
Often involves the following engineering disciplines: Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps … Often work with the following technologies: Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps … The difference to our “AI Engineer” role is: Do you “use/consume” these technologies, or are you the one that “provides” them to the rest of the organization.
Over emplyed guy had best video/summary of standing out in interviews I’ve ever seen + prompts for asking AI about companies
https://www.amanmanazir.com/coaching
aman manzir coaching call
also call 80,000 hours
Steps in the employment pipeline->
Send CV + Cover Letter
(Maybe the IQ test/other online tests too)
(Coding test)
Technical Interview
Behavioural Interview
(Recruitment center)
openAI senior engineer recruitment process debrief
how to add AWS to CV
-either do it in skills section or create a small ‘projects’ section that takes like 2 lines
e.g. Static Website on AWS S3 — Deployed personal portfolio using S3, CloudFront, and IAM policies for secure public access.
Types of technical interview I might have
software engineering, DS&A and system design
machine learning based
product manager based/more consultingy based - more on the business analytics side of thigns
Exponent has good mock interviews with real candidates
ByteByteGo has good summaries too watch neet code summary video first https://www.youtube.com/watch?v=OWVaX_cBrh8
https://systemdesignschool.io/
product design questions of a product manager interview
ML design +coding mock interview- exponent
system design interview prep (first one is design uber eats)- exponent
engineering manager mock interview
PM-increase airbnb bookings mock interview
https://www.youtube.com/watch?v=zGyx7nRqyg4
aws cloud essential certificate is free btw
business analyst
data science
data science mock interview 1 exponent-success of new reaction feature
AB testing data science interview-amazon inc written stuff