Software Engineer - Machine Learning

Key Skills

Aartificial intelligence, AWS, Azure, Data pipelines, Data Warehousing, Design, Google Cloud Platform (GCP), Kubernetes-K8s, Looker, Machine learning techniques, Natural Language Processing (NLP), PyTorch, Tableau, TensorFlow

Job Description

Betteromics is a Data Engineering Platform for Life Sciences. 

We are a team of mission-driven professionals, with combined experiences from academia, science and technology companies. We believe that life science product development can be accelerated with industrial strength software platforms to generate, prepare, process and utilize large and complex multi-modal molecular datasets using the best-in-class ML and data science practices.

Our Values:

• Innovate Together: We recognize that the best innovation comes from embracing the uniqueness of others, unlocking the potential of the collective
• Seek Understanding: We empathetically seek to understand others with the goal of providing contextually grounded solutions
• Embody Selflessness: We leverage different perspectives and achieve breakthrough by building values for others; lifting us all 
• Prioritize Integrity: We operate ethically, honestly and holding ourselves to high standards of care and transparency

What we look for in our ideal Betteromics team member:

• Insatiable thirst / hunger for learning and problem solving
• Empathy and humility to know that we don't know everything but want to help
• Self driven generalists who can become experts and do what is needed when needed
• Bachelor’s Degree in Computer Science or related field

We are looking for a Software Engineer proficient in:

• 5+ years experience in the full lifecycle of software products from requirements, design, development, testing, deployment and maintenance
• Experience with Machine Learning tools (scikit-learn, tensorflow, pytorch) and building models in areas such as nlp, generative ai, deep learning neural nets 
• Building scalable realtime multi-cloud hosted software services involving kubernetes, gcp, azure, aws (or similar tools) 
• Backend systems including realtime search (elasticsearch), database (postgresql), Datawarehouse (snowflake) Cloud storage (s3)
• High dimensional data interpretation and visualization systems (mode, tableau, looker, streamlit, plotly)
• General purpose data science and bioinformatics specific compute engines (cromwell, flyte, nextflow,
• External Apis based on (grpc, graphql, rest, json, fastapi,
  • ML model building , tuning, evaluation experience in generative AI , nlp, 
  • NGS (next generation sequencing ) data formats (e.g. bam, fastq, ) and data pipelines (wgs, broad gatk, nf-core
  • Wet Lab Process engineering - lab assay data collection, QC, Process monitoring, ELNs
• Nice to have - Domain knowledge in life sciences

Your impact:

• Design, develop, optimize, and productionize software solutions that deliver a delightful and stress-free experience for customers.
• Get clarity of problem statements from designers, product managers, eng leads, break features into meaningful tasks, collaborate with other engineers and deliver the project with metrics and data.
• Be a humble and trusted colleague for both our hardworking team members and passionate leaders alike. Deal with a difference in opinions in a mature and fair way.

Benefits & Perks:

• Culture - our top priority! We pride ourselves on creating a culture that is supportive, inclusive and mission-driven
• Generous Medical, Vision, and Dental Plans, 401K, Paid Maternity and Paternity
• Flexible time off, alongside monthly paid company holidays and week-long Summer and Winter Breaks
• Hybrid-first environment that allows you to both interact with your teammates and work flexibly
• Family- friendly. We work hard but value and understand the importance of life outside of work. We are committed to helping employees achieve a healthy work-life balance.