Remote Applied Machine Learning Engineer

Description:

• The position is for an Applied Machine Learning Engineer at Vital, a company focused on improving healthcare through technology.
• The role is remote, targeting candidates in Western European and Eastern time zones.
• The engineer will take ownership of all machine learning initiatives at Vital, which currently are managed by the CEO.
• Responsibilities include writing production-level machine learning models, collaborating with the Head of Product and engineering team, making infrastructural choices for scaling trained models, and working with health domain experts.
• The engineer will also run unsupervised anomaly detection on large datasets, enhance interpretability of black-box models, train large-scale weakly-supervised ML models, and experiment with transformer model applications using Pytorch and Tensorflow.
• The salary range for this position is $150,000 to $200,000 or £115,000 to £148,000, depending on location.

Requirements:

• Candidates must have at least 2 years of experience working in an early-stage startup or a tech company known for machine learning capabilities.
• A strong passion for how ML and AI can predict chronic diseases is essential.
• Experience in creating models from scratch, fine-tuning them, and deploying them to production is required.
• Candidates should thrive in ambiguous environments and be adaptable to various roles.
• Comfort with remote-first work culture is necessary.
• It is a plus if candidates have previous experience in healthcare or have worked with high-frequency timestamped data.

Benefits:

• The salary is determined by a transparent salary calculator based on location and market standards.
• Employees will participate in regular in-person offsites, with past locations including Lisbon, Kent UK, and Tenerife.
• The company hosts bi-weekly team happy hours and remote events.
• A learning budget of $300 is provided for personal development and productivity.
• The position offers flexible, remote-first working conditions, including a $1,000 allowance for home office equipment.
• Employees receive 25 days off per year, in addition to national holidays.
• Generous early-stage stock options are available, with extended exercise post 2 years of employment.
• Healthcare coverage is provided, depending on the employee's location.
• A new MacBook will be provided for work purposes.