TI e programação
Member of Technical Staff, Coding Research - vaga remota
micro1
Member of Technical Staff, Coding Research - TI e programação, remoto
A empresa micro1 está com uma vaga aberta de Member of Technical Staff, Coding Research: nível de liderança, com responsabilidade sobre uma equipe ou sobre uma área inteira. A posição fica na área de TI e programação e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.
As principais ferramentas citadas no anúncio são: Python, Machine Learning. O currículo precisa mostrar exemplos concretos exatamente dessas habilidades.
A empresa publicou a remuneração: $400k - $800k por ano. O anúncio não impõe condição nenhuma de horário.
Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.
Ferramentas
Em resumo
- Empresa
- micro1
- Área
- TI e programação
- Quem pode se candidatar
- De qualquer país do mundo
- Formato de trabalho
- Totalmente remota
- Remuneração
- $400k - $800k por ano
- Nível
- Liderança
- Ferramentas
- Python, Machine Learning
- Tipo de contrato
- Tempo integral
- Publicada
- 4 de agosto de 2026 (há 22 dias)
- Ativa
- até 3 de outubro de 2026
- Fonte
- Himalayas
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Descrição da empresa
Job Title: Member of Technical Staff, Coding Research Job Type: Full-time Location: Remote
The Role We are seeking a Member of Technical Staff to help advance the evaluation and development of frontier coding agents. Sitting at the intersection of AI research, software engineering, and model evaluation, you will design the benchmarks, methodologies, and data systems that shape how next-generation coding models are measured and improved. What You'll Do
* Design and own evaluation frameworks for coding agents, including benchmark specifications, scoring methodologies, rubrics, and quality standards.
* Lead end-to-end research initiatives focused on measuring and improving coding model performance across diverse software engineering tasks.
* Develop high-quality datasets, golden examples, and evaluation protocols that enable reliable assessment of frontier coding systems.
* Analyze model behavior and failure modes, identifying systematic weaknesses and translating findings into actionable improvements for training and evaluation.
* Build tooling and infrastructure that support large-scale experimentation, data generation, review workflows, and evaluation pipelines.
* Establish best practices for coding-agent assessment, ensuring methodological rigor, reproducibility, and measurement quality.
* Partner closely with researchers, engineers, and applied AI teams to design experiments and evaluate emerging model capabilities.
* Contribute to technical reports, benchmark studies, and client-facing research initiatives that communicate model performance and insights.
What We're Looking For
* Strong software engineering background with expertise in Python, C++, or comparable programming languages.
* 3+ years of experience in software engineering, machine learning, AI research, evaluation, or related technical disciplines.
* Experience designing, reviewing, or validating technical assessments, benchmarks, coding tasks, or evaluation methodologies.
* Familiarity with large language models, coding agents, reinforcement learning, model evaluation, or related AI systems.
* Proven ability to build tooling, automate workflows, and improve technical processes through systematic experimentation.
* Strong analytical skills with the ability to investigate model behavior and derive insights from complex technical systems.
* Excellent written and verbal communication skills, including the ability to clearly articulate technical findings to diverse audiences.
* Comfortable operating in fast-moving research environments with significant ambiguity and evolving priorities.
Preferred
* Experience working on frontier AI systems, coding agents, or model evaluation research.
* Deep interest in understanding how data, evaluations, and feedback mechanisms influence model capabilities.
* Track record of independently driving ambiguous technical or research projects from conception to execution.
* Experience designing benchmarks or datasets for machine learning systems at scale.
* Familiarity with agentic workflows, tool use, reinforcement learning, or post-training methodologies.
* Publications, open-source contributions, or demonstrated technical leadership in AI, machine learning, or software engineering.
Compensation & Benefits Notice The national pay range for this full-time position is base salary of $180,000 -$260,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations. Originally posted on Himalayas
O texto permanece no idioma original da empresa, porque é nesse mesmo idioma que você vai se candidatar.
Perguntas frequentes sobre esta vaga
Posso me candidatar à vaga de Member of Technical Staff, Coding Research de onde eu moro?
Sim. Para esta vaga, micro1 aceita candidatos de qualquer país do mundo, então você não precisa de autorização de trabalho de outro país. O anúncio passou por uma verificação automática: se a empresa exigisse autorização de trabalho, patrocínio de visto ou residência em um país específico, ele não estaria neste quadro.
Qual é a remuneração informada?
A empresa informou $400k - $800k por ano. É o valor bruto, como está publicado no anúncio.
Como eu me candidato?
Você se candidata diretamente à empresa, pelo anúncio original publicado em Himalayas. Donator não recebe candidaturas, não cobra comissão e não guarda currículos.
Que tipo de vaga é esta?
Uma vaga totalmente remota na área de TI e programação. Anúncios híbridos e tudo o que exige presença no escritório não são publicados neste quadro.
Certificados gratuitos para esta vaga
Este anúncio pede Python, Machine Learning. Abaixo estão os certificados gratuitos que cobrem exatamente essas ferramentas.
Deep Reinforcement Learning course
certificateHugging Face · ~30 h
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moderate weightAI Agents course
certificateHugging Face · ~25 h
The most current free course on building agents. The old 2025 deadline has been lifted.
moderate weightKaggle Learn: 17 micro-courses
certificateKaggle · ~4 h
Intro to ML, Pandas, SQL, Deep Learning, Computer Vision and more. Only a Google account is needed, and the certificate has a public link.
moderate weightOCI AI Foundations Associate
exam is free tooOracle · ~10 h
A free certification on the AI track, exam included, taken inside MyLearn. An Agentic AI Foundations version also exists.
strong brandValid: 18-24 months
