(EMEA) Senior Machine Learning Engineer

Reposted 19 Days Ago
Hiring Remotely in Poland
Remote
Mid level
Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing
Powering the Engineers who Power the World
The Role
You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.
Summary Generated by Built In
In the Accuris we think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. We build software solutions fueled by trusted data that connect to engineering workflows in revolutionary ways, illuminating answers that previously were impossible to find and empowering our clients to envision the future, so they can identify the best course of action in the present. We're disrupting the current digital transformation landscape with state-of-the-art AI developed by a passionate team with a bias to action. Are you ready to join us in building the software that will power the most impactful companies in the world?
Our AI team is looking for new talents for the role of Senior ML/AI Engineer critical for success of projects related to Natural Language Processing, Data Capturing, Content Understanding and Information Retrieval domains.
You will be responsible for design and engineering aspects of innovative projects related to search, automatic structuring and understanding of unstructured content. Your role is needed to ensure efficient architectures and low-level design of deep learning-based and LLM-based solutions for high-quality deliverables into Accuris products with focus on innovation, scientific research, experimentation, and optimal design.
Your duties will include: • Building and optimization of LLM-based solutions.• Building and optimization of ML/DL training, testing and inference pipelines for the latest GPU and CPU hardware and cloud environments.• Design and building of DL/ML-based systems optimized to meet production requirements.• Development and optimization of production inference and data pipelines.• Delivering AI/ML solutions to production.• Analysis, transformation and bootstrapping of datasets.
Requirements: • BS degree in math and computer science, or related field.• 4+ years of experience as machine learning engineer or software engineer in ML-related projects.• Experience in Natural Language Processing and/or Information Retrieval.• Solid understanding of deep learning methods.• Experience in ML/DL modeling frameworks like PyTorch and/or other DL frameworks.• Experience with popular modern NLP libraries/frameworks including Hugging Face Transformers.• Algorithmic skills• Developed programming skills (Python)• English language (B1+)
The following will hugely increase our interest:• MS or PhD Degree.• Publications in related domain.• Experience with inference and serving engines.• Experience in building LLM-based solutions.• Skills in algorithms and data structures design.• Linux user experience
About Company Statement:
Accuris delivers essential intelligence that powers decision making. We provide the world's leading organizations with the right data, connected technologies and expertise they need to move ahead. We think differently, combining the knowledge and resources of an established company with the unapologetic boldness of a startup. https://accuristech.com/
Our mission: build an evolvable knowledge and data platform that enables STEM professionals to unlock and deliver innovation to the world's most complex problems.
Accuris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Skills Required

  • BS degree in math and computer science, or related field
  • 4+ years of experience as machine learning engineer or software engineer in ML-related projects
  • Experience in Natural Language Processing and/or Information Retrieval
  • Solid understanding of deep learning methods
  • Experience in ML/DL modeling frameworks like PyTorch
  • Experience with popular modern NLP libraries/frameworks including Hugging Face Transformers
  • Developed programming skills (Python)
  • English language (B1+)

What the Team is Saying

Nate Airulla
Brianna Huerta
Davis Kali
Katherine Funk
Trae Wilson
Chris Delisle

Accuris Compensation & Benefits Highlights

  • Retirement Support A 401(k) with immediate vesting and a strong company match stands out as a core strength. This structure supports long‑term financial security from day one.
  • Leave & Time Off Breadth Unlimited vacation with paid holidays provides generous time‑away flexibility. The policy is framed to enable broad time‑off access when work allows.
  • Healthcare Strength Medical, dental, vision, and disability coverage establish a solid baseline for core health needs. HSA contributions and FSA options further enhance health‑related financial support.

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The Company
HQ: Denver, CO
1,000 Employees
Year Founded: 2023

What We Do

Accuris gives engineers trusted answers, not just access. Our Engineering Intelligence platform combines verified data, actionable insights, and purpose-built workflows — so technical and business leaders can move faster, reduce risk, and make decisions they can defend.

Why Work With Us

We are a global team that combines the stability and expertise of an established company with the drive and ambition to keep building. We move fast, challenge assumptions, and back people who take initiative. If you act before you're asked, learn as you go, and want your work to matter — you'll fit right in.

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Accuris Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Accuris embraces a hybrid work model because we believe great work happens through both connection and focus.

Typical time on-site: 3 days a week
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HQAccuris Denver Office
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Malaysia office: Penang
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Bracknell, UK Office
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Gdansk, Poland Office
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India Office: Gurgaon
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Malaysia Office: Kuala Lumpur
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India Offices: Bangalore
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