mimica - Senior/Lead Machine Learning Engineer

Remote - UTC-1 to UTC+3 - Latin America *+ Equity1w ago

Remote Staff LATAM Artificial Intelligence Data Analytics Machine Learning Engineer Python Learning & Development Reporting

Requirements

• Primarily, we’re looking for an individual with an experiment- and data-driven researcher mindset with good coding habits. This includes: • Solid machine learning/data science background: you understand experimental design, data splits, metrics, bias, and statistical significance, and you know when a result is real. • Hands-on experience applying LLMs in production or near-production settings, especially evaluating them: building eval sets, LLM judges and benchmarks, and iterating on prompts and pipelines against them. • Comfortable getting deep into messy data: exploring it, troubleshooting issues, and transforming insights into measurable improvements. • Strong Python and good engineering skills. You write clear, readable, tested code that others can take to production, even if you’re not the one owning the infrastructure. • Able to work independently on ambiguous problems: framing the question, choosing the approach, and deciding on the acceptance criteria to ship. • Use AI coding tools effectively and stay accountable for the output: understand, explain, and defend everything you ship. • Communicate clearly in spoken and written English, including explaining technical trade-offs to both technical and non-technical audiences • Experience with classical ML or deep learning model development. • Experience with image/OCR pipelines or face-related anonymization • Experience shipping end-to-end ML features in a startup or scale-up environment. • This is a fully remote position. To make sure we work well together, we’re only considering candidates based in the UK or Europe, in time zones compatible with London (typically UTC-1 to UTC+3). • Stage 1. Talent Partner (30-45 min) • Stage 2. Take-home challenge (flexible) + Technical Discussion with the team (1h) • Stage 3. Technical design exercise and situational questions in session w/ two ML Engineers (1h) • Stage 4. Behavioral interview w/ Engineering leadership (1h) • Identity Verification

Responsibilities

• Own, debug, and improve production pipelines for accuracy and efficiency. • Design, build, and iterate on LLM evals and LLM-as-a-judge systems, including the datasets, metrics, and benchmarks to monitor quality. • Run rigorous experiments on prompts, pipeline design, model choice, and inputs (e.g., OCR text vs. image + OCR), and turn the results into clear recommendations. • Drive LLM efficiency improvements across our pipelines by comparing models, restructuring steps, and replacing LLM calls with smaller, purpose-built models where it makes sense. • Expand our anonymization pipeline, including evaluating and adapting existing models. • Work with Python and quality engineers to take experiments into production, and share responsibility for the code you ship. • Document findings in writing (eg. experiment reports, design docs)

Benefits

• 💰 Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. • 🏢 Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. • 💻 Company-issued laptop, remote setup stipend, and co-working budget • 📍 Flexible schedules and location • ☀️ Ample paid time off, in addition to local public holidays • 🍼 Enhanced parental leave • 📖 Annual learning & development budget • 🌴 Annual workaways and regular virtual & in-person socials • 🌍 Opportunity to contribute to groundbreaking projects that shape the future of work • Note: Some benefits may vary depending on location and role • ⚠️ Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.