85 karma · joined October 28, 2012
Early-career role building + shipping real production ML. 1–3 yrs ML/Python/data pipelines. Cloud exp. (AWS/GCP/Azure) a plus. Remote-friendly across East Aus. Salary 100–115K AUD. Work closely with Singapore lead; real impact + fast learning curve.
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Senior Data Scientist | USA (Remote) | Full-time | 150K USD + commission
Lead applied AI delivery + enterprise client conversations. 6–10 yrs in ML/DS/AI product work; MLOps + strategy skills. Consulting or enterprise background preferred. Master’s/PhD optional. Looking for polished stakeholder presence (ex-FAANG/MBB vibes welcome). ___
bld.ai | Junior AI Engineer / Data Scientist | USA (Remote) | Full-time | 100K USD + commission
1–3 yrs ML engineering or DS, Python + pipelines, cloud exposure. Comfortable async + independent; startup pace. Growth path to technical lead.
priscilla.mariana@bld.ai
Lead client-facing AI + data science projects for enterprise clients. 6–10 yrs applied ML/AI experience, strong MLOps + data strategy background. Consulting or enterprise experience required. Salary 125–140K SGD. Master’s/PhD nice but not required.
Email priscilla.mariana@bld.ai
Role Summary: We’re looking for an application developer who thrives at the intersection of software engineering and client delivery. You’ll design, build, and deploy production-grade applications—often integrating AI or data-driven components—and work closely with enterprise clients on-site (~50% travel). You’ll collaborate with our AI and data science teams to bring robust, user-ready systems to life.
Requirements: 1. 4–7 years of experience in full-stack or application development. 2. Strong proficiency in Python, JavaScript/TypeScript, and modern frameworks (e.g., React, FastAPI, Node.js, or Flask). 3. Experience deploying to cloud environments (AWS, GCP, or Azure). 4. Ability to translate business requirements into maintainable, scalable code. 5. Excellent client-facing communication and collaboration skills. 6. Willingness to travel up to 50% for on-site work with U.S. clients.
Ideal Profile: A hands-on builder with a consulting mindset—comfortable both coding independently and representing the team in client environments. Prior experience in AI product development, data-intensive systems, or enterprise integrations is a plus.
Requirements: 1. 1–3 years experience in machine learning, Python, and data pipelines. 2. Exposure to cloud environments (AWS, GCP, or Azure). 3. Comfortable working independently and asynchronously with remote teams. 4. Good communication skills and disciplined execution. 5. Bachelor’s in Computer Science, Data Science, or related field.
Ideal Profile: Early-career data scientist or ML engineer with a startup or research background; eager to learn, ship fast, and grow into a lead role.
Requirements: 1. 6–10 years in applied machine learning, data science, or AI product development. 2. Proven experience with enterprise clients or consulting environments. 3. Strong communication and presentation skills. 4. Technical depth in model design, MLOps, and data strategy. 5. Master’s or PhD preferred but not required.
Ideal Profile: Ex-FAANG, Ex-MBB, or similar background; confident, articulate, credible in front of senior stakeholders.
Start by splitting Google into two identical, full-stack companies, each with all the core products. A year later, split them again. Over time, you get 4 or 8 Googles competing across the board.
Employees could be assigned algorithmically to avoid chaos. This feels more like cell division than amputation—preserving the synergies while creating competition.
Position: Swift Developer
You will: 1. Build in Swift. 2. Creating fluid swipe and transition animations. 3. Optimizing data structures to minimize server load times by predictive preloading and caching. 4. Integrate OpenAI APIs into a Swift front-end (I already deployed a prototype that works). 5. Implement fast and reliable peer-to-peer, one-on-one video streaming. 6. Implement Web3 payment integrations on CELO Level 2 blockchain, including Apple Pay token purchasing.
I will: - Pay you $1,000/month while we aren't funded. - Meet w you 30 minutes/day to review, problem solve, and plan your 7-8 hours of work. 4PM Singapore time. - Use V0 by Vercel prototype as design reference.
Attributes: - Work hard. See: https://blog.dannycastonguay.com/on-working-hard/ - Be an owner: https://blog.dannycastonguay.com/on-being-an-owner/ - Accept that life sucks: https://blog.dannycastonguay.com/life-sucks/ - Don't miss important details. - Be ethical. - Nice to have: Codeforces rating above 2000.
How to apply: go to bld.ai, start a project, add me as a client d@bld.ai.
1. Estimate the hours you think it will take to complete a task.
2. Double it and let the team know you did that.
3. Do the work well including good documentation.
4. Assess your progress when you've spent 50% of the planned hours. If you're not at least halfway done, avoid overworking. Instead, seek help within the team and descope.
5. Utilise any extra time for learning new and useful skills, if you finish ahead of schedule.
Cheers
When I find myself repeating the same topic, I write it down for future reference.
Writing is enjoyable, with the added anticipation that my children will read it someday (with mild embarrassment).
We are a design + dev shop. We bill our clients hourly in USD. We give all IP to our clients and are long-term partners with a dozen well funded startups (e.g., backed by a16z, YC, etc.) and multiple Fortune 100 companies. We are 3 years old, employee owned, and 100+ employees.
Our teams are passionate about UX. We practice test-driven development. We are transparent about finances and compensation. We want diversity by design. We systematically invest the majority of our profit in recruiting, training, and mentoring each other.
Competitive salary, benefits, paid vacation, equity, and sick leave.
More details: https://docs.google.com/document/d/e/2PACX-1vSiZGF7Z6Kx1lznq...
To apply, please send an email to hn@bld.ai.
We are a design + dev shop. We bill our clients hourly. We give all IP to our clients. We are long term partners with a dozen well funded startups (e.g., backed by a16z, YC, etc.), an energy super major, a giant tech, and more. We are 3 years old, now 80 employees, and growing at 100% every 9 months.
Passionated about UX. Test driven development. Transparent about finances and compensation. Diversity by design. Employee owned. We systematically invest the majority of our profit in recruiting, training, and mentoring each other.
Email: join@bld.ai
Let's be clear that for a 5 year old, being able to substitute numbers in (+ 2 3) and seeing the results is displayed on the screen is pretty cool. And for my 3-year-old, just typing his name (after I tell him which keys to press) is magical.
Are you not convinced that Google Search, DDG, Gmail, Facebook, WhatsApp, Snapchat are all "good" products in the eye of many people? As far as I can tell, all of those products are paid for by sponsors.
I may have biased it, but she found the experience more engaging than MIT Scratch (which is also very good).
When kids and newbies engage with a product so easily (think git before github), you suddenly vastly increase the userbase.
I, too, find it easier to apply consequentialism, but bureaucracies work well when they have clear rules.
Thank you, advertisers, for paying for Gmail and all those good products.
Bugzilla -> Redmine -> Jira -> Trello/Asana -> Gitlab -> ...
I'd say things are slowly getting better.
Consider coal, the poster child. Blaming the coal producing states[2] might feel good, but it's not very effective. Personally, I prefer to have a shared global responsibility mindset because I too consume goods that are made in China, where ~50% of the coal is burned. How do I sleep at night? Quite well because I'm often exhausted from startup life + BJJ + kids :-)
As a citizen in a democratic country, if you want to affect change, policy seems to be the way to go. As far as environmental problems go in the US, the boundary between federal and state is not well defined[3] and most recently the federal government seem content with letting the states take more of the burden. A few (humble) thought starters for US citizens would include:
A. Learn how much your state is burning[4] and what your governor is doing about it
B. Find out about organizations and lobbying groups that align with your ideals
C. Vote with your money[5], and vote in the election
--- 1: https://corporate.exxonmobil.com/en/Locations/Guyana/Guyana-project-overview#explorationWellsDrilledInTheStabroekBlock
2: https://www.eia.gov/tools/faqs/faq.php?id=69&t=2
3: https://en.wikipedia.org/wiki/Federal_and_state_environmental_relations
4: https://www.americangeosciences.org/critical-issues/faq/which-states-are-largest-producers-and-consumers-coal
5: https://lobbyit.com/how-state-and-fe-lobbying-differ/
edit: formatOne of the reasons that Ancient Persians held women in high regard might have been their religion. Zoroastrianism was the dominant religion, and its ideology stressed that men and women were equals. Naturally, this would shape the worldview of Ancient Persians, and we can say that overall women were seen as important figures in society."
https://study.com/academy/lesson/women-in-ancient-persia-roy...
Funny fun fact about Zoroastrianism: "British musician Freddie Mercury, lead singer for the rock band Queen, was of Parsi descent. Mercury, born Farrokh Bulsara, practiced Zoroastrianism."
Instead of "hating", maybe we could acknowledge the problem and try to come up with a solution? Not that I'm able to come up with a good one.
A bit off topic, but when I see adults who lack a certain concept, I take note of teaching my kids about that concept. For instance, I want to teach my kids the concept of "velocity of money" by adopting an internal currency (e.g., stuffed toys), where you can "spend" by asking a favor, and "earn" by doing a favor. Over time, my wife and I might also increase the pool of "money" whenever someone does something especially nice. No blockchain required ;-)