Mountain View, California, United States of America
Company Overviews
Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.
Rating Reviews
Rating is calculated based on
4
reviews and is evolving.
Pros: The biggest win here is the genuine flexibility Factored offers. As a remote software engineer based in Colombia, I have complete control over my schedule, which is fantastic for work-life balance. The company culture feels very modern and trusting, allowing employees to focus on delivering results without micromanagement. They utilize modern tech stacks and offer interesting projects.
Cons: While flexibility is high, keeping everyone aligned across different time zones can be a challenge. Sometimes, critical information can get buried in async communication channels, leading to minor delays or missed context. It would be beneficial to have more structured, albeit brief, synchronous check-ins or clearer documentation practices for key decisions.
Advice to Management: Consider implementing clearer documentation standards for project decisions and perhaps optional, short syncs for critical updates to ensure all remote team members are perfectly in sync.
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Pros: The best part is definitely the opportunity to learn and tackle complex challenges in the AI and fintech sector. The team is generally collaborative and talented, making it a great environment for technical growth. Being a remote-first company means great flexibility in managing your day-to-day. The work itself is engaging, pushing boundaries in financial data analysis.
Cons: While leadership is generally supportive, clarity on long-term strategic direction can sometimes be lacking, which can lead to shifting priorities. Workload can become intense during critical project phases, impacting work-life balance occasionally. Streamlining some internal approval processes could also improve efficiency for engineering tasks.
Advice to Management: Focus on clearer communication of long-term vision and roadmaps to help engineering teams align their efforts more effectively. Consider more structured processes for feedback and project approvals to manage workload during peak times.
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Pros: The best part of Factored is definitely the caliber of people you work with and the interesting problems you get to solve, especially if you're in the AI/ML space. As a remote Software Engineer, the flexibility is incredible. I appreciate the opportunity to contribute to innovative projects and the autonomy given to engineers. The company culture generally encourages knowledge sharing and collaboration, which is a big plus.
Cons: While remote collaboration is generally good, sometimes cross-team communication or getting timely responses on blockers can be a bit slow, especially across different time zones or departments. There are also occasional inconsistencies in project tooling or processes which could be streamlined. It's not a major issue, but these small friction points do add up.
Advice to Management: Consider implementing more structured cross-functional syncs or a more centralized knowledge base to help improve communication flow and reduce response times for critical blockers. This would further enhance an already strong remote engineering experience.
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What's the process for escalating issues in category management at Factored?
In my experience at Factored, we have clear channels for escalating issues within category management, ensuring quick resolution for our retail partners.
What's the feedback culture like at Factored for roles in the tech industry?
At Factored, I've found the feedback culture to be very open and constructive. As a software engineer, I regularly receive helpful insights during code reviews and performance discussions, which has significantly aided my growth within the company.
What's the salary range for a Data Scientist at Factored in Austin, Texas?
Based on my experience as a Data Scientist at Factored, the salary range can vary, but typically falls between $110k and $150k annually for roles in Austin, Texas, depending on experience and specific project needs.
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