Senior Infrastructure Engineer (MLOps)
Absci is a generative AI drug creation company on a mission to create better biologics for patients, faster. We are the company unlocking the design of new antibodies on a computer from scratch, and we’re just getting started. It will take a state-of-the-art wet lab, artificial Intelligence, and above all else a team of brilliant Unlimiters working together to achieve our vision of breakthrough therapeutics at the click of a button, for everyone. We are gritty, creative, and we are pushing the limits of science in a way that no one has done before because that’s how we will save lives. Join us as we redefine what’s possible.
Absci is a global company with a state-of-the-art lab and headquarters in the beautiful Pacific Northwest US, ten minutes from Portland, Oregon, and its AI Research Lab in the heart of New York City. Check out this short video to learn more and see how #Unlimiters are creating drugs at the speed of AI.
Senior Infrastructure Engineer (MLOps)
Remote within the United States, Canada, Serbia, or Switzerland. Hybrid work available in: Vancouver, WA;, New York City; or Belgrade Serbia.
Senior Software Engineer (infrastructure & MLOps) will play a significant role in designing and building Absci’s hybrid cloud systems for ML training and inference at a production scale with high reliability. You will leverage your background and understanding of software engineering, infrastructure, and ML/AI to enable Absci to leverage generative AI to design better therapeutic drugs.
This position requires strategic thinking, working urgently, and thriving in a dynamic team and high-performance culture. Engineers with a passion for driving initiatives and the ability to work autonomously are the most successful. This is a unique opportunity to work closely with a small interdisciplinary team of DevOps engineers, AI/ML researchers, software engineers, and protein scientists to construct systems that allow us to generate and validate new therapeutic protein-based drugs for treating issues like cancer, autoimmune diseases, and infectious diseases. Your work will directly make a positive impact on patients' lives.
In this infrastructure-focused position, you'll be key in managing and optimizing our cloud infrastructure and Kubernetes clusters. You'll work closely with our software engineers and AI researchers to implement MLOps best practices, automate workflows, and monitor and maintain system performance. You will also manage our data storage solutions. This role requires strong technical expertise, including proficiency in AWS services, Linux system administration, infrastructure as code tools, Python3, Bash scripting, Docker, Terraform, and shared file systems/object storage. Familiarity with Airflow, Datadog, Gitlab, MLOps tools, ArgoCD, and Confluence/Jira is a plus.
Responsibilities: The following responsibilities are for Senior Software Engineer (Infrastructure & MLOps).
- Manage and maintain cloud infrastructure in AWS (Amazon Web Services).
- Manage bare-metal Kubernetes (k8s) clusters.
- Implement MLOps best practices.
- Write and maintain custom tools that engineers and researchers might use (job launchers, data migration tools etc)
- Automate processes and workflows, including continuous integration, continuous deployment (CICD), and pipelining.
- Monitor system performance and troubleshoot issues.
- Manage data storage solutions.
Qualifications:
- 4 - 8+ years of experience designing and building production grade infrastructure solutions
- 4+ years of experience working in the MLOps or ML/AI Systems space
- Proven Track record of delivering high impact work
- Experience building ML/AI systems within the Python ecosystem in the cloud , on-premises, or hybrid.
- Proven experience managing Kubernetes clusters.
- Proficiency in AWS services including Batch, Lambda, APIs, Databases, VPC, IAM, S3, and ECR.
- Experience in Linux System administration.
- Strong knowledge of infrastructure as code tools, preferably Terraform or Saltstack.
- Experience with Docker.
- Familiarity with shared file systems (like NFS) and object storage (like S3).
Preferred (but not required):
- Experience in the Biotech or Pharmaceutical Industries
- Experience with generative AI (GenAI), NLP, or computer vision, large language models (LLMs), or protein language models
- Experience with large-scale multi-node training on bare metal HPC GPU clusters or in AWS
- Experience with Kubernetes schedulers (Apache Yunikorn, Volcano, kube-scheduler plugins etc)
- Experience with large-scale protein ML models like AlphaFold, ESMFold, RFdiffusion
- Experience computational protein design, bioinformatics, computational genomics, immunology, structural biology, antibody engineering, or related fields
- Experience with Airflow.
- Familiarity with Datadog for monitoring.
- Experience with Gitlab for version control.
- Software engineering experience
- Knowledge of various MLOps tools: Weights & Biases, Kubeflow, MLflow, Sagemaker, PyTorch Lightning, Run:Ai, Comet M, TensorFlow, etc.
- Experience with ArgoCD for continuous deployment.
- Familiarity with Confluence/Jira for project management.
The salary range for US based employees in this position is $130,000 - $200,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience. In addition to equity, compensation packages include a wide range of medical, dental, vision benefits and ability to participate in our employee stock purchase plan.
Absci offers highly competitive salaries and benefits, including medical, dental, vision insurance, unlimited vacation, parental leave, breakfast and lunch for onsite employees, employee assistance program, voluntary life and disability insurance, annual bonus potential, and 401(k) with a generous company match.
We seek candidates who will dive into our creative company culture that’s collaborative, multidisciplinary, and committed to a big vision for positive impact. We are defying conventions and innovating without boundaries. We are disrupting an industry with bold ideas and passionate pursuit of new possibilities. We are looking for original thinkers, creative scientists, and data-devoted gurus. Successful candidates will be excited to work in a dynamic environment and contribute as a key member of a project team. If this sounds good to you, we invite you to join us in our quest to redefine possible.
Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any characteristic protected under applicable law. Absci will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Absci offers a dog-friendly work environment - bring your pup along for the ride.