Senior Applied AI/ML Engineer
TetraScienceSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Healthcare, PharmaceuticalsIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, along with a minimum of 5 years of industry experience in software, data, and machine learning engineering. They should have proven experience in deploying and auto-scaling ML pipelines for sparse, high-dimensional data across multiple data and model scales, and strong proficiency in Python, SQL, and cloud computing platforms such as AWS, Lambda, and Modal. Extensive experience with ML frameworks like PyTorch, TensorFlow, or JAX is required, as is familiarity with data and model integration techniques utilizing heterogeneous data types, along with proficiency in containerization (Docker) and orchestration (Kubernetes, Dagster, Airflow, Slurm).
Responsibilities
The Senior/Principal Engineer, Machine Learning will develop innovative solutions for integrating sparse, high-dimensional data from various biological scales, designing and implementing ML pipelines to ensure full traceability, and creating robust data versioning and lineage tracking systems. They will also implement best practices in MLOps, with a particular focus on model versioning, provenance, and auditing, develop user-friendly interfaces for interacting with ML models, explore and implement novel approaches for handling sparse data, and optimize ML models for deployment on edge devices or in resource-constrained environments, while also mentoring junior team members and collaborating with cross-functional teams.
Skills
Python
SQL
AWS
Lambda
Modal
PyTorch
TensorFlow
JAX
Data Integration
Docker
Kubernetes
Dagster
Airflow
Slurm
MLflow
Kubeflow
Ray
Git
Jenkins
GitLab CI
Flask
Tessera Therapeutics
Develops gene editing technology for genetic medicine
About Tessera Therapeutics
Tessera Therapeutics focuses on genetic medicine, utilizing a technology called Gene Writing to make precise changes to the human genome. This technology allows for permanent alterations to genetic material in any cell, which can potentially cure diseases at their source. Tessera's Gene Writing platform can perform both small and large genetic modifications, making it applicable to a wide range of genetic disorders. The company primarily serves research institutions, pharmaceutical companies, and healthcare providers looking to develop new treatments for genetic diseases. Unlike its competitors, Tessera Therapeutics emphasizes the versatility of its technology and its ability to address previously untreatable conditions. The company's goal is to advance the development of its Gene Writing platform to ultimately cure diseases by rewriting the genetic code.
Cambridge, MassachusettsHeadquarters
2018Year Founded
$518.2MTotal Funding
SERIES_CCompany Stage
Biotechnology, HealthcareIndustries
201-500Employees