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5 мСсяцСв Π½Π°Π·Π°Π΄

Member Of Technical Staff, Mle (Ai)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Global)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Singapore
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Member of Technical Staff, MLE (AI): Designing and delivering custom LLM solutions for enterprise customers, leveraging hirify.global’s full stack. Focus on developing SOTA modeling techniques and improving the foundation-model stack for customer use-cases.

Location: Remote

Company

hirify.global is training and deploying frontier models for developers and enterprises who are building AI systems.

What you will do

  • Contribute to the design and delivery of custom LLM solutions for enterprise customers.
  • Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.
  • Build custom models using hirify.global’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets.
  • Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.
  • Contribute improvements back to the foundation-model stack.
  • Work as part of hirify.global’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to enterprise customers.

Requirements

  • Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions.
  • Fluency with Python and core ML/LLM frameworks.
  • Experience working with large-scale datasets and distributed training or inference pipelines.
  • Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies.
  • Demonstrated ability to meaningfully shape LLM performance.
  • A broad view of the ML research landscape and a desire to push the state of the art.

Mindset

  • Bias toward action, high ownership, and comfort with ambiguity.
  • Humility and strong collaboration instincts.
  • A deep conviction that AI should meaningfully empower people and organizations.

Culture & Benefits

  • An open and inclusive culture and work environment.
  • Work closely with a team on the cutting edge of AI research.
  • Weekly lunch stipend, in-office lunches & snacks.
  • Full health and dental benefits, including a separate budget to take care of your mental health.
  • 100% Parental Leave top-up for up to 6 months.
  • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’