They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative, responsible for building a team and developing advanced machine learning models to analyze neurodegeneration ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative, responsible for building a team and developing advanced machine learning models to analyze neurodegeneration ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major ...
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine ... Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major ...
Machine Learning Engineer
Plano, TX · On-site
This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging. Key Responsibilities:
New
Machine Learning Engineer
Plano, TX · On-site
This role requires solid Python programming skills, a good understanding of machine learning concepts, and practical knowledge of ML model deployment, monitoring, and debugging. Key Responsibilities:
New
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Aurora, CO · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Aurora, CO · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Reston, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
... of AI models, collaborate with DevOps teams. • Use AI to automate processes such as sentiment ... machine learning pipelines and workflows • Deploying and scaling Client models in production ...
... of AI models, collaborate with DevOps teams. • Use AI to automate processes such as sentiment ... machine learning pipelines and workflows • Deploying and scaling Client models in production ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer
Chantilly, VA · On-site
Responsibilities : • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) • Ability to design, implement, and optimize machine learning models ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
Furthermore, the team is focused on restoring speech for mute individuals and enabling direct ... Deep understanding of machine learning concepts and fundamentals * Experience in analyzing complex ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
Furthermore, the team is focused on restoring speech for mute individuals and enabling direct ... Deep understanding of machine learning concepts and fundamentals * Experience in analyzing complex ...
At the cutting edge of technology and innovation, our company specializes in developing advanced machine learning solutions to solve real-world problems. We are dedicated to transforming industries ...
At the cutting edge of technology and innovation, our company specializes in developing advanced machine learning solutions to solve real-world problems. We are dedicated to transforming industries ...
Machine Learning Engineer
Seattle, WA · On-site
Basic understanding of machine learning concepts and algorithms.
Machine Learning Engineer
Seattle, WA · On-site
Basic understanding of machine learning concepts and algorithms.
Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep ... Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate ...
Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep ... Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate ...
Director, AI & Machine Learning
Flower Mound, TX · On-site
$220K - $240K/yr
Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation ... Direct Reports Yes or No EEO/AAP Statement FFF Enterprises and Nufactor are an equal opportunity ...
Director, AI & Machine Learning
Flower Mound, TX · On-site
$220K - $240K/yr
Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation ... Direct Reports Yes or No EEO/AAP Statement FFF Enterprises and Nufactor are an equal opportunity ...
Position Summary The Director of AI/ML leads the strategy, architecture, and delivery of enterprise ... Establish architectural standards for generative AI, machine learning models, and agent-based ...
Position Summary The Director of AI/ML leads the strategy, architecture, and delivery of enterprise ... Establish architectural standards for generative AI, machine learning models, and agent-based ...
Machine Learning Engineer
Plano, TX · On-site
We are looking for someone who understands the engineering side of machine learning , including model development and lifecycle, while also being comfortable supporting ML applications in production.
New
Machine Learning Engineer
Plano, TX · On-site
We are looking for someone who understands the engineering side of machine learning , including model development and lifecycle, while also being comfortable supporting ML applications in production.
New
Director Of Machine Learning information
What does a director of machine learning do?
A Director of Machine Learning leads and oversees machine learning teams and projects within an organization. They are responsible for setting the strategic direction for AI and ML initiatives, managing research and development, and ensuring successful deployment of machine learning solutions. Their role often includes collaborating with other departments, mentoring staff, and staying updated with the latest advancements in the field. Ultimately, they ensure that machine learning technologies are effectively leveraged to meet business goals.
What are the typical challenges a director of machine learning faces when leading cross-functional teams?
As a Director of Machine Learning, one common challenge is aligning the goals and expectations of data scientists, engineers, and business stakeholders. Balancing innovative research with practical deployment requires strong communication and prioritization skills. Additionally, ensuring that machine learning solutions are scalable, ethical, and meet organizational needs often involves navigating resource constraints and evolving technologies. Effective directors foster collaboration, provide technical guidance, and help teams stay focused on deliverable outcomes.
What are the key skills and qualifications needed to thrive as a director of machine learning, and why are they important?
To thrive as a Director Of Machine Learning, you need advanced expertise in machine learning algorithms, statistical analysis, and a strong background in computer science or a related field, typically supported by a master's or PhD degree. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud platforms, along with project management experience, is essential. Leadership, strategic vision, and excellent communication skills are crucial soft skills for guiding teams and aligning ML initiatives with business goals. These skills ensure that complex ML projects are successfully designed, implemented, and deliver tangible value to the organization.
What cities are hiring for Director Of Machine Learning jobs?
Cities with the most Director Of Machine Learning job openings:
What are the most commonly searched types of Of Machine Learning jobs?
The most popular types of Of Machine Learning jobs are:
What states have the most Director Of Machine Learning jobs?
States with the most job openings for Director Of Machine Learning jobs include:
What are popular job titles related to Director Of Machine Learning jobs?
For Director Of Machine Learning jobs, the most frequently searched job titles are:
Director, Machine Learning, Alzheimer's Disease Initiative
Palo Alto, CA • On-site
Arc Institute •
Biotechnology Research and Development • 51 - 200 employees51 - 200 employees
Full-time
Re-posted 10 days ago
Job description
Job Summary:
Arc Institute is a new scientific institution focused on understanding and treating complex human diseases, including Alzheimer's disease. They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative, responsible for building a team and developing advanced machine learning models to analyze neurodegeneration mechanisms.
Responsibilities:
• Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
• Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms, with emphasis on variational inference, causal modeling, as well as modern transformer- and diffusion-based architectures
• Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models, working with scRNA-seq, Perturb-seq and other datasets to unravel causal gene pathways relevant to Alzheimer’s disease
• Develop predictive modeling approaches to identify how perturbations can move cell states from high risk Alzheimer’s profiles back to healthy / low risk states
• Collaborate closely with experimental biologists to ensure ML models are grounded in disease biology and can feedback into future experimental strategies
• Foster collaborations with external partners in the computational biology and neuroscience communities
• Publish high-impact research through preprints, journal publications, open source code, and presentations at leading conferences
Qualifications:
Required:
• PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
• 7+ years of relevant experience with a minimum of 3 years of people management experience
• Strong research background with experience in academic settings (university, research institute) and/or biotech/pharmaceutical industry with a focus on scientific innovation
• Proven expertise in machine learning applications to biological datasets, with specific experience in single-cell profiling data and foundation model development
• Deep experience with interpretable machine learning approaches for biological systems (e.g. variational inference methods)
• Advanced technical skills in machine learning frameworks, particularly PyTorch, and ideally experience with model training at scale
• Publications in top-tier journals in computational biology and machine learning
• Excellent communication skills with ability to present complex machine learning concepts to both computational and biological audiences
• Proven ability to remain technically hands-on while providing effective team leadership, mentorship, and management
Preferred:
• Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Arc Institute is a new scientific institution focused on understanding and treating complex human diseases, including Alzheimer's disease. They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative, responsible for building a team and developing advanced machine learning models to analyze neurodegeneration mechanisms.
Responsibilities:
• Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
• Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms, with emphasis on variational inference, causal modeling, as well as modern transformer- and diffusion-based architectures
• Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models, working with scRNA-seq, Perturb-seq and other datasets to unravel causal gene pathways relevant to Alzheimer’s disease
• Develop predictive modeling approaches to identify how perturbations can move cell states from high risk Alzheimer’s profiles back to healthy / low risk states
• Collaborate closely with experimental biologists to ensure ML models are grounded in disease biology and can feedback into future experimental strategies
• Foster collaborations with external partners in the computational biology and neuroscience communities
• Publish high-impact research through preprints, journal publications, open source code, and presentations at leading conferences
Qualifications:
Required:
• PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
• 7+ years of relevant experience with a minimum of 3 years of people management experience
• Strong research background with experience in academic settings (university, research institute) and/or biotech/pharmaceutical industry with a focus on scientific innovation
• Proven expertise in machine learning applications to biological datasets, with specific experience in single-cell profiling data and foundation model development
• Deep experience with interpretable machine learning approaches for biological systems (e.g. variational inference methods)
• Advanced technical skills in machine learning frameworks, particularly PyTorch, and ideally experience with model training at scale
• Publications in top-tier journals in computational biology and machine learning
• Excellent communication skills with ability to present complex machine learning concepts to both computational and biological audiences
• Proven ability to remain technically hands-on while providing effective team leadership, mentorship, and management
Preferred:
• Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Arc Institute
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
51 - 200 Employees
Headquarters location
Palo Alto, CA, US