Principal Applied AI/ML Engineer designing and delivering high - impact AI systems for Autodesk's Forma Construction Cloud. Collaborating across teams to tackle complex technical challenges.
About the role
- Senior Machine Learning Engineer at BenchSci focusing on developing machine learning models for biomedical applications. Collaborating with a team to enhance scientific experiments through AI-driven solutions.
Responsibilities
- Build and deploy machine learning models over omics data (e.g. genomics, transcriptomics, proteomics, epigenomics, and multi-omics), capturing biological structure, variability, and experimental context.
- Work with major omics and biomedical databases (e.g. gene, protein, pathway, interaction, and expression resources) to integrate heterogeneous biological signals into unified learning pipelines.
- Develop and apply foundation models for biological data, including sequence-based, expression-based, and multi-modal models, adapting them to downstream scientific and product use cases.
- Design ML systems that populate, enrich, and reason over a biological knowledge graph, connecting entities such as genes, proteins, pathways, phenotypes, diseases, and experimental evidence.
- Apply graph-based methods tailored to biology, including graph embeddings, message passing, and network-aware learning, to model molecular interactions and biological systems.
- Collaborate with BenchSci’s Science team to ensure models reflect biological constraints, experimental design, and domain nuance, not just statistical patterns.
- Power downstream experiences by surfacing insights through semantic search, recommendation, and conversational AI / chat-based scientific assistants.
- Improve scalability, robustness, and interpretability of models operating on large, sparse, noisy, and biased omics datasets.
- Lead technical decision-making within the ML team, mentor other engineers, and help define best practices for applied ML in biomedical settings.
- Own projects end-to-end, from data exploration and model prototyping to production deployment and monitoring.
- Continuously improve the performance and scalability of ML models that are at the core of BenchSci’s products
- Regularly investigating what technologies will best enable BenchSci to effectively generate use cases
- Advocate for code and process improvements across yourteam, and help to define best practices based on personal industry experience and research
- Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables
Requirements
- Bachelor’s degree or higher in Computer Science, Mathematics, Machine Learning, Bioinformatics, or a related field.
- Leadership: 2+ years of tech lead experience in a production ML environment.
- Hands-on experience working with omics data and omics derived resources, such as genomic sequences, expression matrices, protein data, or biological networks.
- Familiarity with omics and biomedical databases (e.g. gene/protein annotations, interaction networks, pathway databases, expression atlases).
- Experience with or strong interest in biological foundation models, such as sequence models, embedding models, or multi-modal models applied to molecular or cellular data.
- Solid understanding of graph methods in a biological context, including knowledge graphs, molecular interaction networks, or pathway-level representations.
- Experience applying NLP or LLM-based techniques to scientific text or integrating text-based evidence with structured biological data.
- Strong experience with TensorFlow, PyTorch, and Omics processing libraries.
- Comfort working across disciplines, collaborating closely with scientists, engineers, and product teams.
- A team player who strives to see teammates succeed together.
- A growth mindset, strong ownership mentality, and desire to work on scientifically meaningful problems.
- You have a constant desire to grow and develop.
Benefits
- A great compensation package that includes BenchSci equity options
- A robust vacation policy plus an additional vacation day every year
- Company closures for 14 more days throughout the year
- Flex time for sick days, personal days, and religious holidays
- Comprehensive health and dental benefits
- Annual learning & development budget
- A one-time home office set-up budget to use upon joining BenchSci
- An annual lifestyle spending account allowance
- Generous parental leave benefits with a top-up plan or paid time off options
- The ability to save for your retirement coupled with a company match!
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Machine Learning Engineer architecting ranking systems for Instacart's search and recommendations. Collaborating with teams to optimize personalization, revenue, and user experience.
Audio ML Engineer II developing state - of - the - art audio deepfake detection models for Reality Defender. Tuning and deploying models in real - world client environments with a focus on performance and robustness.
AI/ML Engineer developing and deploying solutions for pharmacy technology at VXForward. Collaborating with cross - functional teams to enhance workflows and operational efficiency.
Technical leader for ML - powered Supply & Fleet Optimization Systems at Lime. Driving scalable, high - impact systems for fleet optimization and forecasting.
Software Engineer responsible for MLOps technology at BMO, focusing on software development lifecycle and system designs. Collaborating with functional teams to translate user requirements into technical specifications.
Machine Learning Engineer at Red Hat focused on optimizing AI models and contributing to open - source AI tooling. Collaborating on model compression algorithms and deploying deep learning research solutions.
Tech lead driving ML/AI initiatives in grocery delivery optimization. Identifying opportunities and mentoring team members for impactful solutions.
Principal ML Engineer at a global networking leader shaping ML strategy and building intelligent systems for network management. Driving innovation in fields like Generative AI and Data Mining.
MLOps Engineer ensuring operationalization of machine learning models at Autodesk. Collaborating across teams for AI/ML platform efficiency.