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Senior ML Researcher (100% Remote)

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Senior ML Researcher (100% Remote)

We are looking for an experienced Senior ML Researcher for a US-based startup with a global footprint. In this role, you will drive the development of novel representation learning techniques to enable language models to understand and reason about high-dimensional measurements. You will play a key role in shaping the future of AI-powered scientific discovery.

award icon 100% Remote
award icon Full-time
award icon CoE / B2B / EoR
award icon 90k-100k USD

Requirements

checked icon 5+ years of experience in ML research, with expertise in representation learning, multimodal AI, or language model grounding
checked icon High proficiency in Python and deep learning frameworks (PyTorch/TensorFlow)
checked icon Solid background in self-supervised learning, embedding techniques, and cross-modal alignment
checked icon Experience working with physical or scientific datasets (e.g., time-series, grids, point clouds)
checked icon Familiarity with evaluating factual accuracy and mitigating hallucinations in AI systems
checked icon A degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)

Responsibilities

checked icon Design and implement representation learning pipelines to convert complex physical data into interpretable latent spaces for language models
checked icon Develop training methods to align domain-specific data representations with natural language understanding
checked icon Build robust grounding techniques to ensure AI outputs remain accurate and fact-based when reasoning about measurements
checked icon Create evaluation frameworks for assessing representation quality, reasoning accuracy, and scientific validity
checked icon Collaborate with domain experts to ensure models capture essential real-world semantics
checked icon Contribute to the technical vision of bridging AI with scientific and industrial data

Please include GDPR consent

I acknowledge, that by submitting the form I give consent for my personal data included in the application to be processed by DevsData LLC for the purposes of current and future recruitment processes in accordance with Art. 6 paragraph 1 letter a of the Regulation of the European Parliament and of the Council (EU) 2016/679 of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
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Senior ML Researcher (100% Remote)

7 500 - 8 300 USD net/month - B2B
net/month - B2B
7500 - 8300 USD
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DevsData LLC needs the contact information and your personal data to be processed for the needs of a recruitment process. For information on how to withdraw your consent, as well as our privacy practices and commitment to protecting your privacy, check out our Privacy Policy.
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What will be your next steps?

1

Quick non-technical
conversation

It's all about communication! We want to see how your social and decision-making skills can contribute to efficient team performance.

2

60 to 90 minutes technical
interview

During the technical interview, we want to assess the candidate's specific knowledge, skills, and abilities in relation to our client's needs.

3

Client
interview

The problem-solving challenge is all about using logic and creativity to make sense of a situation and develop an intelligent solution.

4

Offer

You did it! After managing to get through all of these rigorous stages, it's finally time to recommend you directly to our clients.

1

Quick non-technical
conversation

It's all about communication! We want to see how your social and decision-making skills can contribute to efficient team performance.

2

60 to 90 minutes technical
interview

During the technical interview, we want to assess the candidate's specific knowledge, skills, and abilities in relation to our client's needs.

3

Client
interview

The problem-solving challenge is all about using logic and creativity to make sense of a situation and develop an intelligent solution.

4

Offer

You did it! After managing to get through all of these rigorous stages, it's finally time to recommend you directly to our clients.
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