diff --git a/tests/lax_numpy_test.py b/tests/lax_numpy_test.py
index a10a73697..c6d56885a 100644
--- a/tests/lax_numpy_test.py
+++ b/tests/lax_numpy_test.py
@@ -5706,6 +5706,7 @@ class LaxBackedNumpyTests(jtu.JaxTestCase):
     self.assertAllClose(x.trace(), jnp.array(x).trace())
     self.assertAllClose(x.trace(), jax.jit(lambda y: y.trace())(x))
 
+  @jtu.ignore_warning(category=RuntimeWarning, message="divide by zero")
   def testIntegerPowersArePrecise(self):
     # See https://github.com/jax-ml/jax/pull/3036
     # Checks if the squares of float32 integers have no numerical errors.
diff --git a/tests/scipy_optimize_test.py b/tests/scipy_optimize_test.py
index 70a00e14c..ffa576850 100644
--- a/tests/scipy_optimize_test.py
+++ b/tests/scipy_optimize_test.py
@@ -117,6 +117,7 @@ class TestBFGS(jtu.JaxTestCase):
     jax_res = jax.scipy.optimize.minimize(fun=eval_func, x0=x0, method='BFGS')
     self.assertLess(jax_res.fun, 1e-6)
 
+  @jtu.ignore_warning(category=RuntimeWarning, message='divide by zero')
   def test_minimize_bad_initial_values(self):
     # This test runs deliberately "bad" initial values to test that handling
     # of failed line search, etc. is the same across implementations