Senior Machine Learning Engineer

🕒 June 30

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lateral Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lateral Group is a profitable, award-winning design and technology company with over 20 years of experience designing and building digital products and transforming businesses. A globally distributed team of 200–300 engineers, designers and product specialists, the company offers product strategy, UX/UI, frontend and backend engineering, mobile development, and AI/ML capabilities to deliver high-quality, client-facing software solutions on time and on budget. Lateral Group primarily serves other organizations, partnering with clients to launch ventures and modernize products across industries.

📋 Description

• Design and conduct systematic experiments • Implement and validate model architectures in code • Optimise model performance through rigorous training strategies • Collaborate with domain experts and researchers to define problem statements • Interpret outputs and translate findings into production systems

🎯 Requirements

• 5+ years of hands-on experience in machine learning, including model design, training, and evaluation. • Extensive experience applying machine learning to real-world computer vision or medical imaging problems, including developing, deploying, and optimizing models. • Proficiency with PyTorch or TensorFlow and comfort writing clean, modular experimentation code. • Practical experience running experiments, tuning models, and comparing approaches via systematic validation. • Excellent grasp of modern ML concepts: regularization, loss functions, optimization strategies, generalization, overfitting. • An understanding of statistical testing and experimental design to assess performance, robustness, and reproducibility. • Strong communication skills: able to collaborate with engineers, researchers, and domain experts to translate needs into solutions. • A track record of generating novel ideas, exploring them rigorously, and translating them into working systems.

🏖️ Benefits

• Work that matters at the deepest level • Remote-First, Office Friendly • An Outstanding Team • Growth • A Culture of Excellence • Variety & Stability

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