Lead Machine Learning Engineer
Launch PotatoSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
BiotechnologyIndustries
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience
- 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms
- 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark)
- Proficiency in JavaScript, React, and other web technologies for front-end development
- Experience with backend languages (preferably Python or Rust) and system design
- 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs)
Responsibilities
- Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs
- Design, implement, test, and debug code across front-end, back-end, and data pipelines
- Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions
- Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development
- Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment
- Establish best practices for reliable and reproducible ML model development
- Contribute to the creation of scalable, high-performance infrastructure for AI-driven products
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, this is a remote role with travel expectations to attend bi-annual All Hands and other travel as needed (about 10% or less).
What are the minimum qualifications for this role?
Minimum qualifications include a Bachelor’s degree in Computer Science or equivalent, 5 years of software development experience (e.g., C++, Python, Rust) focused on data structures and algorithms, 3 years building production ML systems with data engineering (SQL/Spark), proficiency in JavaScript/React, backend experience (Python/Rust), and 2 years with ML frameworks like PyTorch and AI accelerators.
What salary or compensation does this role offer?
This information is not specified in the job description.
What is the work environment like at Red Cell Partners?
The role involves working independently in a fast-paced, innovative environment within a venture studio engineering team that supports researchers and entrepreneurs building AI-driven startups.
What makes a strong candidate for this Senior ML Engineer role?
Strong candidates will have the minimum qualifications plus preferred experience like a Master’s/PhD, hands-on work with LLMs or generative AI, familiarity with model architectures (e.g., transformers), and launching AI-driven products.
Red Cell Partners
Incubates technology companies for healthcare and security
About Red Cell Partners
Red Cell Partners focuses on creating and developing technology-driven companies that aim to make significant improvements in healthcare and national security. Their approach involves incubating new businesses that can quickly scale and bring effective solutions to market. The products and services they develop are designed to tackle critical issues facing the nation, utilizing advanced technology to create impactful tools. What sets Red Cell Partners apart from other firms is their strong commitment to innovation and a sense of responsibility towards addressing urgent national challenges. Their goal is to leverage technology to provide effective solutions that enhance the well-being and security of the nation.
New York City, New YorkHeadquarters
2020Year Founded
$327.4MTotal Funding
VENTURE_UNKNOWNCompany Stage
Defense, HealthcareIndustries
11-50Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Parental Leave
Risks
Increased competition from other defense-focused investment firms like General Catalyst.
Potential over-reliance on government contracts subject to political changes.
Rapid technological advancements may outpace Red Cell's adaptation capabilities.
Differentiation
Red Cell Partners uniquely combines investing with national security expertise.
They focus on rapidly scalable, technology-led companies in healthcare and national security.
Their leadership includes high-profile defense sector experts like Veronica B. Daigle.
Upsides
Increased focus on AI-driven cybersecurity solutions with companies like Andesite.
Strategic partnerships with firms like General Catalyst enhance their tech development capabilities.
Growing trend of AI integration in military logistics, as seen with DEFCON AI.
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