Job Title: Machine Learning Engineer

Duration: 6 Moths

Location: South San Francisco, CA, USA

Pay Range: $80 per hour

Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups.

Description of responsibilities:

Our group is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process. We are looking for someone who is not only passionate about technical problem-solving but also has a consistent record of delivering innovative solutions in machine learning. The ideal candidate should have extensive experience in developing, deploying, and maintaining models and be able to foster a culture of innovation, collaboration, and excellence across the broader gCS organization.

The group provides a dynamic and challenging environment for multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as collaborations with internal teams.

The right candidate will have experience working in different computing environments, including traditional HPC and AWS. The candidate will have a good understanding of best practices in software engineering and will use it to provide solutions that are scalable and reusable. The candidate will have experience working with diverse data in the biomedical space, including genetics, genomics, imaging, and clinical data. The candidate will be comfortable working as part of a team and also independently.

Responsibilities:
Develop and deploy machine learning models in production environments, working closely with other engineers to ensure solutions are scalable, reliable, and built with best practices.
Solve core research engineering challenges including the design, implementation, and scaling of machine learning algorithms.
Collaborate with cross-functional teams including research scientists, computational biologists, and data engineers to solve complex problems.
Build solutions that allow stakeholders to interact with and analyze multimodal datasets.

Qualification:
Educational Background: B.S. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field (Graduate degree preferred).
Experience: Proven track record with 4+ years of experience developing and applying Client models in an industry setting.
Proficiency in Python
Experience with Weights and Biases
Proficiency in MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows)
Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, PyTorch Lightning, Tensorflow).
Strong background in statistics, probabilistic modeling, and data analysis.

Soft Skills:
Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership
Experience collaborating with external scientific partners, such as academic institutions or industry research groups
A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.

Intelliswift is committed to fair and equitable compensation practices. The range provided for this position is determined by various factors including, but not limited to, relevant work experience, skills, certifications, and location. Intelliswift offers medical insurance, dental insurance, vision insurance, supplemental life and AD&D insurance, and any other benefits per state law.

Equal Employment Opportunity Statement Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law.

Americans with Disabilities Act (ADA)

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department

Other Employment Statements
Intelliswift participates in the E-Verify program.

Learn More For information on Intelliswift Software, Inc., visit our website at .

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