FAANG Resumes is a platform that offers resume writing services for tech industry engineers and managers as well as those looking to break into FAANG. Our writers and reviewers are engineers, executives, or hiring managers from FAANG companies, providing an insider edge to resume writing.
We've written over 10,000 resumes and our revenue has grown over 200% since starting 4 years ago.
We are expanding our platform beyond manual writing by developing an in-house LLM trained on FAANG resumes and job postings. This will allow clients to autonomously revamp their resumes.
We are hiring senior/staff ML engineers who are also comfortable with infra work. You must have prior FAANG experience. All our team members are ex-FAANG.
Reach out to us directly at contact [-at-] faangresumes.com with HN in the subject line.
We’re building Mithril to be the cloud compute platform AI developers actually want—no more battling procurement, limited quotas, or clunky tooling. Our platform gives ML engineers frictionless access to high-performance GPUs, clean APIs, and modern infra primitives to train, fine-tune, and serve state-of-the-art models. Backed by Sequoia, Lightspeed, and founders of Databricks, Google Brain, and Scale.
We’re hiring:
>> General Software (SWE) / Infrastructure Engineers << Build our batch + streaming workload engine for ML. Think: GPU scheduling, fault-tolerant execution, rich job DAGs. 0→1 ownership. Apply here: https://job-boards.greenhouse.io/mithril/jobs/4199826007
>> SRE, Supply (Site Reliability Engineer) << Manage GPU provisioning, spot bidding, and node pool health across clouds and on-prem. Work on the systems behind our global GPU fleet. Apply here: https://job-boards.greenhouse.io/mithril/jobs/4651793007
>> Founding Product Manager << Define the roadmap for the most advanced ML infra users. Apply here: https://job-boards.greenhouse.io/mithril/jobs/4199830007
>> General Application - Exceptional Talent << If you are an experienced, high-impact individual who believes you can help us achieve our most ambitious goals, please use this general posting to introduce yourself: https://job-boards.greenhouse.io/mithril/jobs/4965590007
Looking for compute? We support distributed deep learning workloads, including long-running batch jobs, streaming inference, and GPU autoscaling for LLM training and fine-tuning. https://mithril.ai/contact-sales
discovery tags: gpu, kubernetes, hpc, terraform, helm, distributed, ml, training, inference, llm, deep learning, fine tuning, customer, product, api, on-demand, infrastructure, elastic, scalable, cloud, platform
Poesis is the AI-native investment manager pioneering a new foundation model for investing in U.S. equities. We’re building AI systems to predict market movements and outperform legacy managers. This is frontier research with immediate real-world validation, your work directly shapes investment decisions and portfolio performance.
We’re hiring founding technical roles to build the first generation of our trading and ML systems:
Head of Engineering: own architecture, pipelines, and productization of research; define the technical backbone of the fund.
Founding ML Engineer: build end-to-end ML systems for data ingestion, training, backtesting, and signal generation.
Founding Quant Developer: turn research ideas into production-grade code, working closely with leadership on real trading systems.
We’re a small, deeply technical team based near Stanford, working several days a week on-site in Palo Alto. Relocation support available.
If you’re excited by the intersection of AI, finance, and first-principles design, we’d love to meet you.
Apply here: https://jobs.ashbyhq.com/poesis?utm_source=7B1zo0bVXD
At Bedrock Data, we are building next-generation data security platforms. Our backend engineering team is responsible for: Large-scale distributed systems to handle petabytes of data in a scale-out architecture. Stack includes Golang, Neo4j, AWS (Lambda, SQS, S3, DynamoDB), GraphQL, Typescript/React
Please apply here: https://jobs.ashbyhq.com/bedrock