Head Of Machine Learning Modeling Jobs

5+ years of experience in managing and mentoring a team of ML scientists and managers

Knowledge of NLP, Computer Vision, practical experience with Deep Learning and Large Language Models

Offer: up to $265K + benefits package (including annual bonus, 401K plan, medical and dental insurance)

Location: US - Remote Setup

Role: Director of Machine Learning

Exceptional problem-solving skills and the ability to translate complex business requirements into effective machine learning solutions.

4+ years of experience with an object-oriented programming language such as Java or Python.

Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience

Experience using Apache Spark and other distributed data processing technologies

Experience working with and analyzing large-scale datasets and time series data.

Opportunity to drive impactful projects that directly influence financial markets and investment strategies.

Experience with DataBricks, Dataiku AWS SageMaker, Azure, and data pipeline management tools like Airflow.

Present model performance, ROI, and business impact to senior management stakeholders and executives.

Manage model onboarding, versioning, operations, and decommissioning workflows.

Manage external ML engineers and vendors responsible for building and maintaining ML Pipeline solutions.

Minimum of 8 years of Machine Learning or Data Science experience in Life Sciences, Pharma, Biotech, or relevant regulated industry.

Experience in building production-grade ML/automation pipelines from scratch (model versioning, lineage, monitoring, deployment, optimization, scalability, orchestration, continuous learning).

Experience in a lead/management role

Perform other duties as required and assigned by manager and upper management.

Experience hiring and leading diverse teams.

3 to 4 years relevant work experience

Strong analytical and quantitative skills. You are familiar with techniques in data science, statistics, machine learning, or related fields.

Strong technical and programming skills.

Prepare and present required reports/reviews to model risk management, management and regulators

Review and enhance scenario generation analytical methodology including modeling choices in line with firm’s risk profile and regulatory requirements

Develop models to meet the model use requirements

Masters degree or PhD in Economics, Finance or equivalent

12+ years experience of macroeconomic modeling and analytics in economic research firms or regulatory financial institutions

Recent experiences in developing and executing macroeconomic models for regulatory purposes (e.g., CCAR, ICAAP and climate risk analysis)

Six (6) or more years of relevant experience (including post undergraduate education & industrial experience);

Experience working in a cutting-edge research lab supporting cultural and technical diversity to effectively engage broad thinking and problem solving.

Develop models for assembling genomes of high-throughput skim-seq for tens of thousands of crop genotypes;

Implement Bayesian modeling frameworks on existing datasets/models and expand to more extensive data and improve Bayesian or AI/ML models;

Ph.D. OR Master’s degree OR Bachelor’s degree;

Ability to identify common goals, build trusting relationships with internal and external stakeholders, and drive solutions;

Experienced in online learning management system administration

Manage cloud-based learning platform (HowNow)

Ensure training programs meet locally applicable compliance requirements globally

Excellent communication and leadership skills, able to communicate at all levels

Ability to plan, manage multiple tasks at once, and manage time effectively

Expert user of excel, powerpoint (google sheets and slides experience a plus)

4+ years of direct management experience of highly technical managers and engineers.

Demonstrated ability to build a culture of team building and people management.

Recruit, mentor, and grow world class engineers and managers.

10+ years of hands-on technical experience.

Experience shipping at least 2 consumer-facing SaaS products built on AWS

Experience building geo-distributed teams in EU (highly preferred)

3+ years experience working in a technical leadership position

3+ years hands on experience with ML / Software Engineering

Technically skilled in NLP / Genomics

Knowledgeable in disease biology, molecular biology and biochemistry

PhD Degree - Machine Learning / Biology / Biochemistry (computer, math or science)

Very competitive salary, bonus, stock options

Collaborate closely with cross-functional teams, including product development, marketing, and customer success, to ensure alignment and deliver exceptional customer experiences.

Demonstrated experience in building and managing high-performing sales teams, fostering a culture of excellence, collaboration, and continuous improvement.

Excellent communication, negotiation, and presentation skills, with the ability to influence and build relationships with senior executives and key stakeholders.

Develop and execute a comprehensive sales strategy to drive the adoption of our cutting-edge machine learning solutions in the market.

Lead a high-performing sales team, providing guidance, coaching, and support to achieve sales targets and exceed customer expectations.

Represent the company at industry conferences, events, and networking forums to promote our brand, build thought leadership, and establish strategic partnerships.