Senior ML Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇫🇷 France – Remote

💵 €70k - €85k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.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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AssessFirst 🦄

WebsiteLinkedInAll Job Openings

51 - 200 employees

👥 HR Tech

🤖 Artificial Intelligence

☁️ SaaS

HR Tech • Artificial Intelligence • SaaS

AssessFirst is a company focused on revolutionizing the talent management processes within organizations. Founded in 2002, the company specializes in providing predictive hiring solutions using artificial intelligence to assess candidates' cognitive abilities, motivations, and personality traits. AssessFirst aims to help companies recruit more effectively by offering insights that are proven to link to performance and engagement. The company also aids in managing and developing talent by leveraging unbiased predictive algorithms. Employing a fully remote workforce, AssessFirst encourages radical freedom and extreme responsibility among its team members. Over the years, the company has supported global organizations in overcoming HR-related challenges and continues to expand its presence in various markets, including the UK.

📋 Description

• Design and deploy the AI systems at the heart of AssessFirst’s products. • Develop autonomous AI agents capable of managing an end-to-end recruitment process, from sourcing through qualification and the creation of a documented shortlist. • Improve voice AI and conversational interviews by working on latency, turn-taking, and robustness across accents and noisy environments. • Develop tools to analyze recruiter-candidate conversations, generate summaries, and provide real-time assistance. • Structure information from resumes, portfolios, and transcriptions. • Design and train scoring, classification, and probabilistic modeling systems in collaboration with psychometricians. • Build evaluation frameworks and measure model performance, fairness, and robustness before and after production deployment. • Deploy and monitor systems with the MLOps team. • Design reusable services and share advances in voice AI, agentic AI, and multimodal AI. • Collaborate with ML Engineers, psychometricians, Product Managers, Tech, back-end, front-end, and QA teams. • Report directly to the Chief Product Officer and Team Lead.

🎯 Requirements

• You have proven experience in ML Engineering, with AI models and systems that you have personally helped deploy to production. • You are proficient in Python (modern, typed, and asynchronous), software engineering best practices, and end-to-end ML solution development, from data preparation through training and evaluation. • You are comfortable with the AWS ecosystem, particularly SageMaker, Lambda, and Kubernetes. • You have experience in voice AI (ASR, TTS) or in developing real-time conversational agents. • You know how to design and evaluate AI agents or complex systems. • You have a strong foundation in statistics, particularly probabilistic modeling, calibration, and rigorous model evaluation. • Experience with causal inference, experimentation, or ML fairness is a strong plus. • You can explain and defend your technical decisions, including to non-technical stakeholders. • You are curious, pragmatic, and mindful of AI’s impact on people. • You use AI tools daily (Claude, ChatGPT, Gemini, or equivalent tools).

🏖️ Benefits

• Autonomy & flexibility: Organize your work freely based on current priorities and projects. • Fully remote: Work from anywhere in Europe! • Meal vouchers: €10 per working day on a Swile card. • Health insurance: Health coverage through Alan. • Savings & profit-sharing: Employee savings and profit-sharing plans. • Well-being: Support for sports activities, gift vouchers, and access to a benefits platform. • Coworking: Access to shared workspaces up to five times a month through Worklib. • Team life: A strong culture and four company retreats per year to reconnect in person. • We provide every employee with the equipment they need to perform at their best. • Everyone also has access to an annual budget of €3,000 to enable them to meet up with colleagues whenever needed.