Sr. Accountant<p>We are in the process of onboarding a Sr. Accountant to join our team based in South San Francisco, California. The role primarily involves reconcilations, month end close, processing financial transactions, and ensuring compliance with generally accepted accounting principles (GAAP). This role will also entail supporting the finance team in improving accounting procedures and internal controls.</p><p><br></p><p>Responsibilities:</p><p>• Ensure timely and accurate procedures for month-end, quarter-end, and year-end close for balance sheet and income statement accounts.</p><p>• Prepare and maintain journal entries, account reconciliations, and analyses.</p><p>• Support the finance team in enhancing existing accounting procedures and internal controls.</p><p>• Contribute to the preparation of footnotes and schedules for external statutory filings.</p><p>• Prepare audit schedules for quarter-end and year-end, as necessary.</p><p>• Review contracts to determine and implement the proper accounting in accordance with US GAAP.</p><p>• Identify and implement process improvements within the accounting department.</p><p>• Support ad-hoc projects as required.</p><p>• Apply GAAP and relevant internal accounting policies to transactions and document white papers to memorialize interpretations and conclusions.</p><p>• Maintain accurate and up-to-date customer credit records.</p>Machine Learning Engineer I (SE Junior Pipeline) (Contrac...<p>We are offering a long-term contract employment opportunity for a Machine Learning Engineer I in Sunnyvale, California. As a Machine Learning Engineer, you will be implementing and refining machine learning algorithms, developing data pipelines, and deploying validated machine learning models into production. This role is within the technology industry, and the workplace is dynamic and fast-paced.</p><p><br></p><p><strong>Responsibility:</strong></p><ul><li>Implements refines and validates machine learning algorithms for products and applications. - Implements data pipelines consisting of data ingest data validation data cleaning and data monitoring.</li><li>Trains machine learning models validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.</li><li>Assists in development of proof of concept solutions and contributes to studies to support future product or application development.</li><li>Researches writes and edits documentation and technical requirements including evaluation plans confluence pages white papers presentations test results technical manuals formal recommendations and reports.</li><li>Tests and evaluates solutions. Completes case studies testing and reporting.</li></ul><p><br></p>
