Morph (YC S23) Is Hiring Member of Technical Stuff

2 hours ago

Morph builds the inference infrastructure behind the fastest open models, spanning kernels, model serving, routing, autoscaling, and capacity.
They are hiring a performance engineer to optimize the entire system, with a focus on PD disaggregation research and custom speculative-decoding models.
The role involves working directly with founders on high-impact problems, using enormous compute in a small team, and includes a 2-day work trial.

Wildcard is an agentic commerce optimization platform for ecommerce and retail brands.
It provides visibility (AEO & GEO), recommendations, execution, attribution, and automation to manage AI shopping agents.
Brands need insights on product visibility, competitor performance, optimization strategies, and business outcomes as shopping shifts to AI agents.

9 Mothers is hiring for 9 roles in Austin, TX, to build counter-drone systems with a focus on hardware, AI perception, and kinetic engagement.
The team emphasizes fast iteration, real deployment, and ownership where engineers directly influence specifications.
Key perks include working on autonomous perception and terminal engagement with short feedback loops and real telemetry from range testing.

PgDog is a startup focused on scaling PostgreSQL, used by many companies and currently hiring.
The role involves working with Rust, Postgres, infrastructure, and distributed systems to build and ship features directly to customers.
Ideal candidates are detail-oriented, test-driven, comfortable with production code, and balance AI use with independent thinking.

Kyber builds an AI-native document platform for enterprises to draft, review, and send complex regulatory notices.
The platform consolidates 80% of templates, reduces drafting time by 65%, and compresses communication cycles by 5x.
Kyber is backed by Y Combinator and Fellows Fund, targeting regulated industries like insurance.

<antirez>5 days ago

DwarfStar 4 (DS4) became popular quickly due to the release of a quasi-frontier model that is large and fast enough for local inference, combined with an asymmetric 2/8 bit quant setup that works on 96-128GB RAM.
The project leverages the experience of the local AI movement and GPT 5.5, allowing rapid development (one week) with proper LLM interaction skills.
The author worked 14 hours/day on average during the last week, similar to the early Redis days, but normal average is 4-6 hours.

Wildcard is an agentic commerce optimization platform for ecommerce and retail brands.
It provides visibility (AEO & GEO), recommendations, execution, attribution, and automation to manage AI shopping agents.
Brands need insights on product visibility, competitor performance, optimization strategies, and business outcomes as shopping shifts to AI agents.

9 Mothers is hiring for 9 roles in Austin, TX, to build counter-drone systems with a focus on hardware, AI perception, and kinetic engagement.
The team emphasizes fast iteration, real deployment, and ownership where engineers directly influence specifications.
Key perks include working on autonomous perception and terminal engagement with short feedback loops and real telemetry from range testing.

PgDog is a startup focused on scaling PostgreSQL, used by many companies and currently hiring.
The role involves working with Rust, Postgres, infrastructure, and distributed systems to build and ship features directly to customers.
Ideal candidates are detail-oriented, test-driven, comfortable with production code, and balance AI use with independent thinking.

Kyber builds an AI-native document platform for enterprises to draft, review, and send complex regulatory notices.
The platform consolidates 80% of templates, reduces drafting time by 65%, and compresses communication cycles by 5x.
Kyber is backed by Y Combinator and Fellows Fund, targeting regulated industries like insurance.

<antirez>5 days ago

DwarfStar 4 (DS4) became popular quickly due to the release of a quasi-frontier model that is large and fast enough for local inference, combined with an asymmetric 2/8 bit quant setup that works on 96-128GB RAM.
The project leverages the experience of the local AI movement and GPT 5.5, allowing rapid development (one week) with proper LLM interaction skills.
The author worked 14 hours/day on average during the last week, similar to the early Redis days, but normal average is 4-6 hours.

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